Photovoltaic Technology and Rural Landscapes: A Systematic Literature Review on Challenges and Sustainable Integration
Abstract
:1. Introduction
2. Background
3. Materials and Methods
3.1. Keywords Selection and Literature Search
3.2. Selection of Baseline Literature
4. Results and Discussion
4.1. Geographical Distribution of the Selected Studies on of Baseline Literature
4.2. Occurrence and Recurrence of Research Themes
4.3. Thematic Heterogeneity in the Relationship Between Photovoltaic Technology and the Rural Landscape
4.4. Recurring Thematic and Argumentative Dimensions Emerging from the Literature Review
4.5. Positive Outcomes of Technological Integration Practices Within Rural Contexts
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
Appendix A
Code | Approach | Method | Data | Indicator |
---|---|---|---|---|
[33] | Interpretation of data derived from GIS analysis and suitability index for solar plant location | Case study in Northern Ireland. The authors used a GIS-MCDM method, combining satellite data and digital models with the analytic hierarchy process | High-resolution GIS data, Sentinel-2 satellite data, solar radiation, land use, topography, and infrastructure | Quantitative |
[34] | Interpretation of data derived from a digital twin simulation for optimizing solar energy management | Case study on an existing house with photovoltaic and storage systems | Domestic energy consumption, solar radiation, real-time energy cost, and characteristics of appliances and storage systems | Quantitative |
[35] | Interpretation of data derived from the analysis of the compatibility between photovoltaics and vernacular architecture | Analysis of two case studies on traditional rural buildings in Romania, using field surveys, energy simulations, and historical–aesthetic evaluations | Energy consumption, building orientation, PV production potential, and housing types | Quantitative |
[36] | Interpretation of data derived from the techno-economic analysis of a hybrid system with HOMER to optimize energy costs in a residential area | Case study in Rayen, Iran, with a thermo-economic analysis of a photovoltaic system with ORC and comparison with other seven hybrid systems | Daily energy consumption, photovoltaic and wind production, CO₂ emissions, and investment and operational costs | Quantitative |
[37] | Interpretation of data derived from a life cycle analysis and energy audit to evaluate efficiency interventions in existing rural structures | Energy audit, LCA, and LCC to analyze the energy consumption of an agriturismo with wellness center in a protected area. Simulation of improvement scenarios, including photovoltaics and heat pumps | Climate data, energy bills, building envelope characteristics, electrical consumption, and intervention simulations | Quantitative |
[38] | Interpretation of data derived from simulations and experimental tests on a self-sufficient rural tower prototype | Case study on the San Enea rural tower, Perugia. Development of an experimental model of energy integration, combining photovoltaics, hydroelectric, geothermal, and biomass | Solar radiation, water availability, soil thermal properties, tower characteristics, and estimated energy consumption, and production from renewable sources | Quantitative |
[39] | Interpretation of data derived from experimental simulations and multi-criteria analysis | Case study in Tumxuk (China). Installation and testing of a solar–biomass–electric system | Solar radiation, building energy consumption, photovoltaic production, biomass efficiency, and operational costs | Quantitative |
[40] | Interpretation of data derived from energy audits and thermal efficiency simulations in rural public buildings | Case study on five public buildings in northeastern Poland. Energy audits to evaluate the improvement of thermal performance and analysis of consumption | Pre- and post-intervention thermal and electrical consumption, type of insulation applied, photovoltaic and solar thermal panel efficiency, and CO₂ emission reduction | Quantitative |
[41] | Interpretation of data derived from experimental tests and simulations to evaluate the feasibility of a community solar system | Case study on a photovoltaic system in a public building in Perak Tengah (Malaysia). Performance analysis of the system, energy monitoring, and social evaluation of technology adoption | Photovoltaic production, household energy consumption, improvement in public lighting, and community perception | Qualitative and quantitative |
[42] | Interpretation of data derived from the integration of photovoltaic energy in a village in Switzerland | Case study in Zernez, Switzerland. Analysis of solar potential with DEM models, simulation of solar production, and optimization of energy management with an energy hub | Land morphology, solar radiation received by buildings, local energy demand, and photovoltaic installation costs | Quantitative |
[43] | Interpretation of data derived from a statistical survey on the social perception of solar energy in residential buildings in Cairo | Case study on the new cities of Cairo. Survey of 274 residents; data analysis with SPSS and a UTAUT model to identify key variables in acceptance | Social perception, barriers to adoption, social influence, technical support, and perceived costs | Qualitative |
[44] | Interpretation of data related to the integration of photovoltaic panels to improve thermal comfort in public outdoor spaces in Alexandria, Egypt | Case study in Borg El Arab New City. Environmental analysis, 3D modeling with DesignBuilder, CFD, and EnergyPlus simulations, field measurements, and user surveys | Surface temperature, photovoltaic energy production, thermal comfort (time not comfortable), energy consumption for lighting and charging | Quantitative |
[45] | Interpretation of data related to a low-carbon energy system for five rural homes in the UK | Energy survey of homes, followed by dynamic simulations of an integrated photovoltaic system to simulate the behavior of solar panels in a neighborhood system and separate systems for each home | Energy monitoring of homes, photovoltaic simulations, building characteristics, and economic data (investment costs, incentives) | Quantitative |
[46] | Interpretation of data related to the sizing of a photovoltaic microgrid with storage for a secondary school in Tanzania | Case study on Ngarenanyuki Secondary School (Tanzania). Use of the LoadProGen procedure to generate energy load profiles based on data collected through interviews and field audits | Data collected via interviews and field audits to determine the number and type of devices, energy consumption, and usage habits | Quantitative |
[47] | Interpretation of data derived from the application of photovoltaic systems for energy self-sufficiency in rural areas | Case study on a family farm in Valnerina (Umbria, Italy) with a photovoltaic system (PV) and lithium batteries. Analysis of surplus energy for the mobile slaughterhouse, optimization of energy production | Energy simulations, farm energy consumption measurements, and annual solar production from the photovoltaic system | Quantitative |
[48] | Interpretation of data derived from computational optimization of the sizing of an HRES system for an off-grid refuge | Case study of a refuge in Alto Adige (Italy). MILP model for optimization of the HRES system size (photovoltaic, wind, diesel, batteries). Analysis of daily variability of energy sources | Refuge energy consumption, solar and wind production, diesel and battery prices, and CO₂ and NOx emissions | Quantitative |
[49] | Interpretation of data derived from the optimization of an autonomous photovoltaic system (SAPV) to improve reliability and reduce costs | Optimization using particle swarm optimization (PSO) applied to a case study in a rural area of an autonomous photovoltaic system, with Monte Carlo simulations to evaluate reliability and costs | Solar generation data, residential energy demand, photovoltaic panel, battery, and backup generator costs | Quantitative |
[50] | Interpretation of data derived from the optimization of a hybrid energy system for a residential building in a rural area | The authors use HOMER software to optimize the configuration of hybrid photovoltaic, wind, diesel, and battery systems in a residential building. The optimization considers total costs and environmental conditions. The case study involves various U.S. states | Solar radiation (2017), average wind speed, energy demand profiles, and installation and maintenance costs for photovoltaics, wind turbines, diesel generators, and batteries | Quantitative |
[51] | Interpretation of data derived from the analysis of an energy retrofit of protected rural buildings | The authors propose an approach based on a detailed architectural survey, followed by energy simulations to compare various retrofit scenarios. The IESVE software was used to analyze energy needs | Building conservation status, size, architectural characteristics, climate data from Milan, historical energy consumption, and energy efficiency parameters | Qualitative and quantitative |
[52] | Interpretation of data derived from low-energy passive design in rural areas with the case study of Yongsheng Village | The authors use an approach based on passive technologies integrated with renewable energy to optimize energy consumption, relying on orientation and the local microclimate | Local microclimate, building orientation, photovoltaic system energy performance, anmd natural heating and cooling | Quantitative |
[53] | Interpretation of data derived from the retrofit of a hydroponic system supported by renewable energies in a rural Canadian area | The authors propose a retrofit of a light industrial space into a hydroponic system supported by photovoltaic solar energy and biomass. Evaluation of operational costs, greenhouse gas emissions, and energy cost reductions compared to fossil fuels | Energy consumption, energy costs from fossil fuels, photovoltaic panel performance, CO₂ emissions data, and energy savings | Quantitative |
[54] | Interpretation of data derived from the optimization of hybrid energy systems with hydrogen for electricity self-sufficiency. The case study involves UNISTMO (Mexico) for a rural university and Gran Piedra (Cuba) for a rural community. | The authors use HOMER software to optimize the mix of renewable energies (photovoltaics, wind) and hydrogen storage, applying a multi-criteria analysis with compromise programming to choose the optimal solution | Energy consumption, capital costs, LCoE, local renewable resources, life cycle emissions, and community acceptance data | Qualitative and quantitative |
[55] | Interpretation of data derived from the use of solar technologies and local materials for the recovery of an archaeological site in a rural area | The authors design an ecological intervention on the archaeological site using thin photovoltaic modules integrated into the roof and LED lighting systems to reduce energy consumption. The project uses local materials and non-invasive techniques to protect and preserve the site | Data from the analysis of the archaeological site, energy consumption, efficiency of solar technologies, and local climate data | Qualitative and quantitative |
[56] | Interpretation of data related to energy self-sufficiency in a building in Damascus | The authors use energy simulations to evaluate the performance of an autonomous energy system based on photovoltaics for a medical center in a suburb of Damascus. The approach also includes a preliminary survey on energy poverty in rural areas of Damascus | Photovoltaic production, energy consumption, climatic conditions, and socioeconomic data on families in Damascus | Quantitative |
[57] | Interpretation of field data derived from the implementation of small-scale photovoltaic systems in rural homes in India | The study integrates energy simulations, life cycle analysis (LCA), and interviews with families to study the impact of photovoltaic systems in rural areas of Assam | Energy consumption, working hours, health (reduction in kerosene use), and economic livelihood of families | Qualitative and quantitative |
[58] | Interpretation of data derived from the retrofit of buildings to transform them into zero-energy buildings (ZEB) with a case study in India | Case study on a rural house in Nashik, Maharashtra, India. Analysis of energy consumption, implementation of retrofit techniques, and economic evaluation of investment recovery period | Energy consumption, electricity bills, retrofit materials, solar data (global horizontal irradiance), and photovoltaic panel sizing | Quantitative |
[59] | Interpretation of data derived from cost analysis and environmental impacts in the case study of a new sustainable house in Texas | The method is based on a comparative economic analysis between traditional and sustainable solutions, using energy simulations to calculate savings and net present value (NPV) to evaluate long-term benefits | Data from the analysis of traditional and sustainable constructions, energy consumption, cost savings, solar and geothermal technologies, and savings forecasts. | Qualitative and Quantitative |
[60] | Interpretation of data derived from the comparison between domestic photovoltaic systems and traditional energy poverty practices | The method is based on using iHOGA to simulate the implementation of a domestic photovoltaic system, optimizing the sizing of photovoltaic panels and batteries. The economic and environmental comparison is made between SHS and traditional biomass and kerosene-based solutions | Household energy consumption, equipment costs (photovoltaic panels, batteries, appliances), CO₂ emissions avoided, economic savings compared to traditional fuels, and financing plans | Quantitative |
[61] | Interpretation of data related to the integration of renewable energy sources in a rural tower in Italy | The method is based on digital modeling to design the retrofit of the rural tower and the integration of photovoltaics, hydroelectric power, and biomass. The project was tested in a real case study at an agriturismo in Perugia | Solar and wind production, weather conditions, energy storage capacity, energy consumption data, and system performance | Qualitative and Quantitative |
[62] | Interpretation of data related to energy renovation solutions for rural buildings in cold areas | Energy simulation of renovation solutions to improve energy efficiency and achieve NZEBs (nearly zero-energy buildings), using HULC. The case study focuses on rural municipalities, such as Cervera del Río Alhama, San Millán de la Cogolla, and Torrecilla en Cameros | Building characteristics, energy consumption, renovation solutions, and environmental and economic impacts of the proposed solutions (insulation, renewable systems) | Quantitative |
[63] | Interpretation of data related to the integration of biobased materials with photovoltaic systems for nearly zero-energy Buildings (NZEB) in Morocco | The authors use an integrated approach combining the development of biobased construction materials (with Alfa fiber) with energy simulations (EnergyPlus) and photovoltaic system optimization (HOMER Pro). The case study focuses on a typical house in Oujda, Morocco | Biobased construction materials, energy consumption, energy design, photovoltaic systems, and storage batteries | Quantitative |
Code | Approach | Method | Data | Indicator |
---|---|---|---|---|
[64] | Interpretation of data derived from the simulation of hybrid microgrids with mixed integer linear programming (MILP) to optimize energy cost and system sustainability in Bolivia | Case study on an isolated microgrid in El Espino, Bolivia. Analysis of real operational data, simulation of scenarios, and optimization of system sizing with a two-stage model | Energy consumption, photovoltaic production, battery capacity, investment and operational costs, and CO₂ emissions | Quantitative |
[65] | Interpretation of data derived from Monte Carlo simulation to optimize the sizing of SAPV systems in isolated communities | Development and application of a sequential Monte Carlo simulation model to evaluate the reliability of autonomous photovoltaic systems, considering uncertainties in solar radiation, energy demand, and component failures | Residential energy demand, real-time hourly solar radiation measurements, and failure rates for photovoltaic panels | Quantitative |
[66] | Interpretation of data derived from interviews and qualitative analysis to evaluate the effectiveness of solar systems in the Navajo Nation | Case study in Bodaway Gap (Navajo Nation, USA). Field survey with interviews and observations; comparative analysis of two renewable energy programs (SHS and AWG) | Adoption rates, system reliability, community perception, and energy and water costs | Qualitative and quantitative |
[67] | Interpretation of data derived from the installation of a photovoltaic solar field in Rwanda for rural electrification and sustainable urban development | Case study on the Agahozo-Shalom Youth Village (ASYV) solar park, Rwanda. Analysis of energy production and the contribution of photovoltaics to rural electrification and sustainable urban planning | PV system capacity, annual production, energy demand, economic benefits, and access to electricity in Rwanda | Quantitative |
[68] | Interpretation of data derived from the mathematical optimization of solar system maintenance in rural areas | Case study of the PERG program in Morocco. Development of an optimization model for maintenance management and resource allocation | Location of SHS systems, operational costs, component reliability, and geographic distribution of rural users | Quantitative |
[69] | nterpretation of data derived from dynamic simulations to optimize a hybrid solar microgrid in a remote village | Case study on the Ha Nkau microgrid (Lesotho). Dynamic simulation with EES software to optimize PV, CSP, LPG generators, and battery management. Economic analysis of electricity tariffs | Solar radiation, community energy demand, PV and CSP efficiency, operational costs, and battery capacity | Quantitative |
[70] | Interpretation of data derived from the analysis of two case studies on community renewable energy projects | Case study on rural communities of Cinta Mekar and Kamanggih (Indonesia). Semi-structured interviews, field observations, and document analysis to evaluate the role of intermediary organizations in project success | Levels of community participation, local economic impacts, financing models, and energy consumption before and after intervention | Qualitative |
[71] | Interpretation of data derived from experimental tests and economic analysis to evaluate renewable energy solutions in island communities | Case study on domestic photovoltaic systems and micro-wind in the village of Kiama, Talaud Island. Pilot installation, life cycle analysis (LCC), and monitoring of social and economic impacts | Solar radiation, wind speed, household energy consumption, investment and maintenance costs, SHS, and wind turbine generation capacity | Quantitative |
[72] | Interpretation of data derived from economic and technical analyses to create a rural energy cluster | Case study in five rural municipalities in Poland. Economic analysis, estimation of installable renewable capacity, energy coverage simulation, and community perception survey | Local energy demand, installable renewable capacity, required investments, and level of social acceptance of the project | Qualitative and quantitative |
[73] | Interpretation of data derived from the analysis of two case studies on solar electrification models in informal settlements | Qualitative and quantitative analysis of two SHS supply models (South Africa and Zimbabwe). Comparison between solar utilities and community savings models | Economic and technical performance of solar systems, community perception, operational costs, and financing | Qualitative and quantitative |
[74] | Interpretation of data derived from the analysis of hybrid systems for off-grid rural energy in Bangladesh | Case study on Sonar Char, Bangladesh. Simulation of hybrid photovoltaic systems with HOMER; multi-criteria evaluation with MCDM (BWM-MCODAS) | Energy demand, solar potential, hybrid system configurations, economic costs, and CO₂ emissions | Quantitative |
[75] | Interpretation of data related to the energy transition of an island to renewable energy on Ushant Island (France) | Case study on Ushant Island (France). Modeling of the existing grid and simulation of renewable source integration. Analysis of grid reliability with GIS tools and MATLAB/Simulink software. Comparison between scenarios with diesel and renewables | Island electric grid, annual energy consumption, installed capacity, available renewable resources (solar, wind, tidal), and grid reliability parameters | Quantitative |
[76] | Interpretation of data derived from energy probes in an off-grid rural community | Case study in El Santuario, Honduras. Surveys on consumption habits, socioeconomic analysis, categorization of consumers, and load curve modeling using deterministic and stochastic methods | Domestic, productive, and social consumption, economic availability, payment capacity, and energy demand variability | Qualitative and quantitative |
[77] | Interpretation of data derived from the optimization and simulation of a photovoltaic–wind–diesel hybrid system for residential electrification in a remote area | Case study in Adrar (Algeria). Simulations with MATLAB code, validation with HOMER, optimization with particle swarm optimization (PSO), integration of demand-side management (DSM) | Residential energy consumption, photovoltaic and wind production, energy cost, CO₂ emissions, and storage capacity | Quantitative |
[78] | Interpretation of data derived from decentralized renewable energy projects in Nepal and Indonesia with a focus on governance | Case study on decentralized renewable energy projects in Nepal and Indonesia, analyzing how governance influenced the success/failure of the projects | Governance, project plans, local participation, and operational failures | Qualitative |
[79] | Interpretation of data related to hybrid solar–diesel mini-grids in remote islands of Bangladesh | Analysis of the performance of a hybrid solar–diesel photovoltaic plant in a case study in Paratoli, Narsingdi (Bangladesh). Various performance indicators were measured. Monitoring and KPI analysis tools, such as capacity utilization factor (CUF) and renewable energy fraction (REF), were used to measure the overall system efficiency | Solar panel performance (PPF), battery performance, inverter performance, and energy consumption per customer | Quantitative |
[80] | Interpretation of data derived from the optimization of mini-grid planning for rural electrification | The authors use MOPSO to optimize the generation mix (solar, batteries, diesel) and a genetic algorithm (GA) to design the mini-grid network. The case study is applied to a specific rural area | Load profiles, generation and storage costs, solar resource availability, and distribution network measurements | Quantitative |
[81] | Interpretation of data derived from the analysis of community energy and social innovation for Mozambique | The authors use PESTEL analysis to explore external factors and SWOT analysis to assess internal factors related to the implementation of modular renewable energy systems in rural communities. The case study examines the adoption of renewable energy in Mozambique with photovoltaic and energy storage systems | Energy needs, local renewable resources, government policies, socioeconomic data of rural communities, and renewable energy market potential | Qualitative and quantitative |
[82] | Interpretation of data derived from the rural electrification program with photovoltaic solar systems in Timor-Leste | Mixed analysis combining quantitative monitoring of solar systems via Wi-Fi, social surveys, and economic analysis to assess impacts on energy consumption, costs, and quality of life in communities | Energy consumption, maintenance costs, monitoring results, and community feedback | Qualitative and quantitative |
[83] | Interpretation of data derived from the analysis of the business model for renewable energy based on a case study of a rural community in Sumba | Case study on the villages of Luku Wingir and Waimbidi, Sumba Island (Indonesia). Analysis of the community energy business model and the challenges in managing hydroelectric, biogas, and solar pump systems | Business models, operations and maintenance, community capacity, fund management, and social impact of projects | Qualitative and quantitative |
[84] | Interpretation of data derived from hybrid photovoltaic–diesel microgrid simulations for rural electrification in the Chilubi district, Zambia | The method is based on modeling and simulation with HOMER software to examine the technical–economic feasibility of four photovoltaic-diesel hybrid system scenarios, using LCoE and NPV to determine the most economical and sustainable solution | Solar resources, limited wind generation potential, fuel costs, local resource formation, and microgrid construction | Quantitative |
[85] | Interpretation of data derived from the analysis of energy system expansion planning in Sub-Saharan Africa | The method is based on using a multi-period optimization model to simulate the expansion of generation and transmission in Rwanda, considering various gradual electrification scenarios and different policies. The model is tested on 24 scenarios with different dates for achieving universal electrification | Energy demand in Rwanda, electrification policies, generation choices (photovoltaics, diesel, and hydroelectric), and CO₂ emissions | Quantitative |
[86] | Interpretation of data related to the adoption of solar mini-grids for remote communities in Pakistan | The authors use a socio-technical approach combined with a participatory approach. The case study is based in the village of Helario in the Tharparkar district, Pakistan. Surveys, focus groups, and energy simulations were used to optimize a solar mini-grid system with batteries, also addressing gender differences in energy access | Demographic characteristics, energy access, future aspirations, household energy use, and gendered activities (e.g., cooking and water collection) | Qualitative and quantitative |
Code | Approach | Method | Data | Indicator |
---|---|---|---|---|
[87] | Interpretation of data derived from the application of a framework for designing ground-mounted photovoltaic systems integrated with ecosystem services | Application of the framework to a case study in Puglia; microclimate simulations with ENVI-met to assess the integration of vegetation into photovoltaic systems | Meteorological data of Puglia, existing photovoltaic plants, and soil and vegetation data | Quantitative |
[88] | Interpretation of data derived from using a web application to integrate renewable energy devices with landscape elements | Application of an algorithm to a case study in Al-Azhar Park; data collection on weather and energy consumption to calculate energy production | Climatic data of Al-Azhar Park, annual energy consumption of the park, and data on landscape elements and renewable energy | Quantitative |
[89] | Interpretation of data derived from applying a multi-criteria method to evaluate the optimal combination of renewable energy sources | Case study in Valle del Cauca, Colombia. The authors used a multi-criteria method based on four phases, namely (1) renewable resource pre-feasibility analysis, (2) construction of alternative scenarios, (3) sustainability indicator evaluation, and (4) application of the FAHP-TOPSIS method to classify energy alternatives | Climatic data, availability of renewable resources (photovoltaic, wind, hydroelectric, and biomass), regional energy demand, and economic data on installation and management costs | Quantitative |
[90] | Interpretation of data derived from simulating an energy mix (photovoltaic + wave energy) to evaluate the sustainability of an island’s energy transition | Case study on the island of Ustica (Italy). The authors applied a modeling and simulation method, analyzing local consumption and testing the sustainability of a hybrid system based on photovoltaics and marine energy converters | Electricity consumption of public buildings, solar radiation, available wave energy, and investment and operational costs | Quantitative |
[91] | Interpretation of data derived from photovoltaic planning scenarios in Catalonia and an analysis of territorial trade-offs | Case study in Catalonia (Spain), spatial optimization with Marxan with zones to identify areas suitable for photovoltaic production while minimizing impacts on agriculture and biodiversity | Land use, energy demand, distribution of protected areas, agricultural zones, climatic data, and photovoltaic generation capacity | Quantitative |
[92] | Interpretation of data derived from simulating Agri-PV scenarios on different crops in Uzbekistan | Simulation and modeling of Agri-PV with PVSyst software to optimize the integration between photovoltaics and agriculture. Analysis of the water–energy–food nexus and evaluation of crop growth conditions with different system configurations | Climatic data (solar radiation, temperature and water consumption), agricultural parameters (crop types and PAR requirements), and photovoltaic system configurations | Quantitative |
[93] | Interpretation of data derived from interviews and qualitative analysis to evaluate the opportunities and challenges of agrivoltaics in Austria | Case study on photovoltaic greenhouses in Simmering, Vienna. Use of an urban living lab with interviews with stakeholders, workshops, and analysis of the regulatory context to assess the diffusion of agrivoltaics | Agricultural production, microclimate impacts, energy production of greenhouses, agrivoltaic regulations, and stakeholder perceptions | Qualitative and quantitative |
[94] | Interpretation of data derived from simulations and optimization models to evaluate the effectiveness of the PVRH system | Case study in Village L, Gansu (China). GIS analysis to select the area, PVRH system design, and simulations with NSGA-II to optimize resources and agricultural productivity | GIS data for area selection, PVRH system design, and resource and agricultural productivity data from simulations | Quantitative |
[95] | Interpretation of data derived from simulating photovoltaics in an existing wind park | Case study on the Isapur wind farm (India). Simulation with PVSyst to analyze the performance of photovoltaics among wind turbines. Comparison between portrait and landscape configurations | Turbine location, solar radiation, shading, photovoltaic production, and installed capacity | Quantitative |
[96] | Interpretation of data derived from interviews, surveys, and dynamic modeling to analyze the socio-technical transition to residential photovoltaics | Case study in New Zealand. Behavioral analysis using the Energy Cultures framework and multi-level perspective (MLP). Interviews, surveys, and choice experiments to evaluate motivations and adoption factors for photovoltaics | Photovoltaic adoption, energy market perceptions, consumer preferences, economic barriers, and emerging business models | Qualitative and quantitative |
[97] | Interpretation of data derived from simulated installation of solar trees in a photovoltaic forest context in South Korea | Simulation of the installation of solar trees using Google Earth and satellite images, with comparative analysis of the impact of the agrivoltaic system | Data collected from satellite images, forest cover analysis, photovoltaic system energy capacity, and environmental impact assessments | Quantitative |
[98] | Interpretation of data derived from the analysis of photovoltaics and landscape management in agricultural areas | Case study on photovoltaic systems in Puglia. Analysis of vegetation, design of active management with honey plants, and assessment of ecological impact | Vegetation coverage in photovoltaic sites, types of native plants, maintenance costs, and biodiversity impact | Qualitative and quantitative |
[99] | Interpretation of data derived from regulatory analysis and the scientific literature on the geomorphological impacts of solar installations | Case study in Virginia (USA). Analysis of regulatory evolution, review of existing scientific studies, and evaluation of geomorphological processes related to solar installations | Data on regulatory changes, impacts of impermeable surfaces, soil erosion, and stormwater management | Qualitative and quantitative |
[100] | Interpretation of data related to the economic efficiency of an agrivoltaic system in Heggelbach, Sigmaringen district, Germany | Analysis based on a case study in Germany, where the economic costs and benefits of implementing APV were assessed compared to traditional ground-mounted photovoltaics | Investment and management costs, agricultural productivity with and without APV, political incentives, and economic performance of crops under APV | Quantitative |
[101] | Interpretation of data derived from interviews with landowners regarding the acceptance of solar plants on agricultural land | Case study analysis through interviews with landowners, solar developers, and local organizations to evaluate landowner decisions on installing solar plants on agricultural land | Data collected through semi-structured interviews with 60 participants, including landowners, experts, and solar developers | Qualitative |
[102] | Interpretation of data from the sustainability analysis of an innovative CSP solar plant compared to traditional systems | Case study of a hybrid HYSOL plant with biomethane and natural gas, using an LCSA (life cycle sustainability assessment) approach that integrates LCA, LCC, MRIO, and S-LCA | CO₂ emissions, water consumption, installation and operation costs, and economic and employment benefits | Quantitative |
[103] | Interpretation of data derived from sociological and economic analysis of energy literacy in rural communities | Empirical case study with a social survey in Zławieś Wielka (Poland) to analyze the relationship between energy awareness and energy behaviors | Data collected from 300 interviews with residents of Zławieś Wielka, analyzing energy behavior and adoption of renewable energy | Qualitative and quantitative |
[104] | Interpretation of data related to integrated solar parks in the landscape in Europe | Method based on case studies with spatial analysis, document analysis, and field observations of 11 “front-runner” solar parks | Data collected through observations and analysis of maps and satellite images of solar plants, expert data, and project documentation | Qualitative and quantitative |
[105] | Interpretation of data related to the development of photovoltaics in a protected rural landscape | Case study on the Alta Murgia area and an analysis of regional policies and local regulations for photovoltaic installations, with a focus on visual and socioeconomic impacts | Data from regional guidelines, maps of photovoltaic installations, and energy production data | Qualitative and quantitative |
[106] | Interpretation of data derived from the optimization of flexibility strategies for the low-voltage grid | Mathematical optimization (MILP) to assess the impact of flexibility on the need for grid reinforcement. Case study on a rural grid in Germany | Electricity demand, grid capacity, renewable penetration, and flexibility strategies | Quantitative |
[107] | Interpretation of data derived from optimizing the market value of Alpine photovoltaic installations | Optimization with two interconnected models (Swissmod and OREES) to simulate market prices and optimize the position of photovoltaic panels | Historical meteorological data (2013–2015), energy consumption data, photovoltaic production capacity, and characteristics of the Swiss electricity market | Quantitative |
[108] | Interpretation of data derived from the technical potential for the installation of photovoltaic systems in Swedish agriculture, with a case study in Herrljunga | The authors use a combined approach that includes GIS analysis and power flow simulations to assess photovoltaic potential. The case study focuses on Herrljunga, extending results to a national level | Solar radiation data (LiDAR, ArcGIS), national statistics, distribution network data, and photovoltaic installation costs | Quantitative |
[109] | Interpretation of data derived from the analysis of ecosystem trade-offs in renewable energy production at a regional level, with a case study in the Veneto Region | The authors use GIS analysis to map areas suitable for renewable energy production applying the trade-off analysis methodology between energy production and ecosystem services (ES). Political constraints are compared with the trade-off analysis | Land cover data (Corine Land Cover), political constraints from the Regional Energy Plan (PER), and environmental protection and hydrogeological risk data | Quantitative |
[110] | Interpretation of data derived from solar planning to minimize conflicts with a case study in Tainan and Chiayi | The authors use a combined approach of stakeholder participation, AHP (analytical hierarchy process), and GIS to assess suitable areas for solar development in Taiwan, minimizing environmental and socioeconomic conflicts | Land use, ecological characteristics, and social and economic data collected via interviews with local residents, environmentalists, and government officials | Qualitative and quantitative |
[111] | Interpretation of data derived from choice experiments and surveys in an energy planning context in Bavaria, Germany | Participatory analysis using a choice experiment (CE), administered to local residents to collect preferences regarding the location and investment models for renewable plants | Community energy consumption, preferences for plant location and type, economic saving models, and social acceptance | Qualitative and quantitative |
[112] | Interpretation of data derived from defining spatial energy transition goals in the Parkstad Limburg region | Analysis of spatial transition (STA) using choice experiments (CEs) and GIS mapping to analyze local preferences and spatial restrictions. Creation of scenarios to calculate renewable energy production | Energy consumption data for the region, spatial data for solar and wind, preferences and social acceptance of technologies, and investment scenarios | Qualitative and quantitative |
[113] | Interpretation of participatory data derived from co-designing energy solutions for a sustainable transition in a rural area | The method uses participatory research with questionnaires, focus groups, GIS mapping, and co-design workshops to engage the community and develop sustainable energy solutions. It also includes expert interviews to identify constraints and opportunities at the policy level | Energy consumption, fuel preferences, energy access, health issues, and socioeconomic factors | Qualitative and quantitative |
[114] | Interpretation of data derived from the application of solar technologies in rural communities to promote renewable energy adoption in the Philippines | Qualitative approach based on case studies with primary data collection through semi-structured interviews, field observations, and visits to solar energy projects | Data from interviews with local actors, installed photovoltaic systems, field observations, and project reports | Qualitative |
[115] | Interpretation of qualitative data derived from barriers and opportunities for renewable energy adoption in Togo | Use of a comparative method, interviews, questionnaires, workshops with stakeholders, and field visits to gather data on renewable energy in urban and rural areas of Togo | Energy access, renewable energy sources, agricultural practices, energy policies, and solar irrigation systems | Qualitative |
[116] | Interpretation of energy data related to the adoption of renewable technologies in Sudan | Method combining historical and current energy data in Sudan, analysis of energy policies, and evaluation of renewable technologies (solar, wind, and biomass) | Solar and wind potential, energy policy analysis, renewable energy initiatives in Sudan, and dependence on biomass data | Quantitative |
[117] | Interpretation of data collected on the adoption of solar technology in India | The method is based on a quantitative analysis using Likert questionnaires and statistical models (EFA, SEM) to analyze factors influencing the adoption of solar technology in India. Data were collected from 250 people in the Howrah and Kolkata areas | Costs, reliability, community influence, government policies, education, and awareness | Quantitative |
[118] | Interpretation of data related to hybrid renewable energy systems for agricultural irrigation in Australia | The authors use HOMER software to design and optimize hybrid microgrids and determine the most cost-effective combination of solar photovoltaics, diesel, and batteries, considering operational costs, CO₂ emissions, and energy tariffs. The case study is based on a farm in the Fitzroy Valley, Queensland, Australia | Solar and wind resources, energy loads (irrigation and grain drying), energy tariffs (FiT and grid costs), and microgrid components (photovoltaics, diesel, and battery) | Quantitative |
[119] | Interpretation of data derived from the landscape impact of photovoltaic plants in Andalusia | Landscape analysis of photovoltaic plants, identifying landscape characteristics and analyzing visual impacts. Public perceptions and proposals for landscape integration are also considered | Location of photovoltaic plants, visual impacts, and public perception collected through interviews | Qualitative and quantitative |
[120] | Interpretation of data derived from community involvement in the energy transition in India | The method is based on a participatory approach for selecting beneficiaries and implementing biogas and solar lanterns in three districts with active involvement of SHGs and local committees. The case study focuses on these districts in India, where photovoltaic systems and domestic biogas have been installed to address energy poverty | Biogas and solar devices, energy consumption, economic and environmental impact, and training and maintenance | Qualitative and quantitative |
[121] | Interpretation of data on the acceptance of the Cleve Hill Solar Park (UK) by the local community | Mixed methods combining analysis of online comments and qualitative interviews to identify the factors influencing acceptance | Data on online comments, interviews with local community members, and analysis of concerns regarding the solar park | Qualitative |
References
- Ronnie, F.; Soliman, M.; Al-Alawi, A.N.; Sousa, M.J. The Impacts of Geopolitical Risks on the Energy Sector: Micro-Level Operative Analysis in the European Union. Economies 2022, 10, 299. [Google Scholar] [CrossRef]
- Sollazzo, L.; Mangherini, G.; Diolaiti, V.; Vincenzi, D. A Comprehensive Review of Agrivoltaics: Multifaceted Developments and the Potential of Luminescent Solar Concentrators and Semi-Transparent Photovoltaics. Sustainability 2025, 17, 2206. [Google Scholar] [CrossRef]
- Chatzipanagi, A.; Kakoulaki, G.; Szabó, S.; Jäger-Waldau, A. Overview and Perspective of Integrated Photovoltaics with a Focus on the European Union. Appl. Sci. 2024, 14, 10628. [Google Scholar] [CrossRef]
- Ferrall, I.; Heinemann, G.; von Hirschhausen, C.; Kammen, D.M. The Role of Political Economy in Energy Access: Public and Private Off-Grid Electrification in Tanzania. Energies 2021, 14, 3173. [Google Scholar] [CrossRef]
- Peñaloza, D.; Mata, É.; Fransson, N.; Fridén, H.; Samperio, Á.; Quijano, A.; Cuneo, A. Social and Market Acceptance of Photovoltaic Panels and Heat Pumps in Europe: A Literature Review and Survey. Renew. Sustain. Energy Rev. 2022, 155, 111867. [Google Scholar] [CrossRef]
- Gerbinet, S.; Belboom, S.; Léonard, A. Life Cycle Analysis (LCA) of Photovoltaic Panels: A Review. Renew. Sustain. Energy Rev. 2014, 38, 747–753. [Google Scholar] [CrossRef]
- Tian, C.; Ahmad, N.A.; Abd Rased, A.N.N.W.; Wang, S.; Tian, H. Establishing energy-efficient retrofitting strategies in rural housing in China: A systematic review. Results Eng. 2024, 24, 103653. [Google Scholar] [CrossRef]
- Sánchez-Pantoja, N.; Vidal, R.; Pastor, M.C. Aesthetic impact of solar energy systems. Renew. Sustain. Energy Rev. 2018, 82, 2906–2915. [Google Scholar] [CrossRef]
- Jiang, F.; Wang, C.; Shi, Y.; Zhang, X. Exploration of Research Hotspots and Trends in Photovoltaic Landscape Studies Based on Citespace Analysis. Sustainability 2024, 16, 1234. [Google Scholar] [CrossRef]
- Pandey, G.; Lyden, S.; Franklin, E.; Millar, B.; Harrison, M.T. A systematic review of agrivoltaics: Productivity, profitability, and environmental co-benefits. Sustain. Prod. Consum. 2025, 56, 13–36. [Google Scholar] [CrossRef]
- Scognamiglio, A. ‘Photovoltaic landscapes’: Design and assessment. A critical review for a new transdisciplinary design vision. Renew. Sustain. Energy Rev. 2016, 55, 629–661. [Google Scholar] [CrossRef]
- Bianchi, S.; Richiedei, A. Territorial Governance for Sustainable Development: A Multi-Level Governance Analysis in the Italian Context. Sustainability 2023, 15, 2526. [Google Scholar] [CrossRef]
- Rakowska, J.; Maciejczak, M.; Batyk, I.M.; Farelnik, E. Rural–Urban Differences in Solar Renewable Energy Investments Supported by Public Finance in Poland. Energies 2022, 15, 8476. [Google Scholar] [CrossRef]
- Maghami, M.R.; Pasupuleti, J.; Ling, C.M. Comparative Analysis of Smart Grid Solar Integration in Urban and Rural Networks. Smart Cities 2023, 6, 2593–2618. [Google Scholar] [CrossRef]
- Yuan, M.; Yang, J.; Gong, J.; Wang, Y.; Wang, L.; Sun, Y. Strategies for Enhancing Rural Vitality from the Perspective of Comprehensive Land Consolidation: Integrating Production, Living, Ecology, and Efficiency Enhancement. Land 2024, 13, 2092. [Google Scholar] [CrossRef]
- Boukharta, O.F.; Huang, I.Y.; Vickers, L.; Navas-Gracia, L.M.; Chico-Santamarta, L. Benefits of Non-Commercial Urban Agricultural Practices—A Systematic Literature Review. Agronomy 2024, 14, 234. [Google Scholar] [CrossRef]
- Chen, F.; Qiao, G.; Wang, N.; Zhang, D. Study on the Influence of Population Urbanization on Agricultural Eco-Efficiency and on Agricultural Eco-Efficiency Remeasuring in China. Sustainability 2022, 14, 12996. [Google Scholar] [CrossRef]
- Maialetti, M.; Ciaschini, C.; Quaranta, G.; Salvia, R.; Scarpitta, D.; Bigiotti, S.; Chelli, F.M.; Salvati, L. Investigating ‘Land-Use Trajectories’ in Mediterranean Rural Areas with Official Statistics and a Multiway Factor Analysis. Sustainability 2024, 16, 7644. [Google Scholar] [CrossRef]
- Di Domenico, G.; Colantoni, A.; Bianchini, L.; Cecchini, M.; Gallucci, F.; Di Stefano, V. Agrivoltaics Systems Potentials in Italy: State of the Art and SWOT–AHP Analysis. Sustainability 2025, 17, 925. [Google Scholar] [CrossRef]
- Kata, R.; Cyran, K.; Dybka, S.; Lechwar, M.; Pitera, R. Economic and Social Aspects of Using Energy from PV and Solar Installations in Farmers’ Households in the Podkarpackie Region. Energies 2021, 14, 3158. [Google Scholar] [CrossRef]
- Addas, A. Role of Urban Planning Standards in Improving Lifestyle in a Sustainable System. Sustainability 2023, 15, 9171. [Google Scholar] [CrossRef]
- Lucchi, E. Integration between Photovoltaic Systems and Cultural Heritage: A Socio-Technical Comparison of International Policies, Design Criteria, Applications, and Innovation Developments. Energy Policy 2022, 171, 113303. [Google Scholar] [CrossRef]
- De Medici, S. Italian Architectural Heritage and Photovoltaic Systems. Matching Style with Sustainability. Sustainability 2021, 13, 2108. [Google Scholar] [CrossRef]
- Karamov, D.N.; Ilyushin, P.V.; Suslov, K.V. Electrification of Rural Remote Areas Using Renewable Energy Sources: Literature Review. Energies 2022, 15, 5881. [Google Scholar] [CrossRef]
- Paniagua, A. Challenges and Pathways in Sustainable Rural Resiliencies or/and Resistances. Sustainability 2024, 16, 5397. [Google Scholar] [CrossRef]
- Rehman, A.; Ma, H.; Radulescu, M.; Sinisi, C.I.; Paunescu, L.M.; Alam, M.S.; Alvarado, R. The Energy Mix Dilemma and Environmental Sustainability: Interaction among Greenhouse Gas Emissions, Nuclear Energy, Urban Agglomeration, and Economic Growth. Energies 2021, 14, 7703. [Google Scholar] [CrossRef]
- Boland, A.; Cherry, M.C.; Dickson, R.; Carden, J. Doing A Systematic Review: A Student’s Guide. Int. Coach. Psychol. Rev. 2020, 15, 119–120. [Google Scholar]
- Wang, X.; Zhu, L.; Li, J.; Zhang, N.; Tang, Y.; Sun, Y.; Wu, H.; Cheng, C. Architectural Continuity Assessment of Rural Settlement Houses: A Systematic Literature Review. Land 2023, 12, 1399. [Google Scholar] [CrossRef]
- O’Dea, R.E.; Lagisz, M.; Jennions, M.D.; Koricheva, J.; Noble, D.W.A.; Parker, T.H.; Gurevitch, J.; Page, M.J.; Stewart, G.; Moher, D.; et al. Preferred reporting items for systematic reviews and meta-analyses in ecology and evolutionary biology: A PRISMA extension. Biol. Rev. Camb. Philos. Soc. 2021, 96, 1695–1722. [Google Scholar] [CrossRef]
- Ali, A.O.; Elgohr, A.T.; El-Mahdy, M.H.; Zohir, H.M.; Emam, A.Z.; Mostafa, M.G.; Al-Razgan, M.; Kasem, H.M.; Elhadidy, M.S. Advancements in Photovoltaic Technology: A Comprehensive Review of Recent Advances and Future Prospects. Energy Convers. Manag. X 2025, 26, 100952. [Google Scholar] [CrossRef]
- Car, C.; Frohmann, E.; Grimm-Pretner, D. Solar Landscapes: A Methodology for the Adaptive Integration of Renewable Energy Production into Cultural Landscapes. Sustainability 2024, 16, 2216. [Google Scholar] [CrossRef]
- Gusenbauer, M.; Haddaway, N.R. Which academic search systems are suitable for systematic reviews or meta-analyses? Evalu ating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Res. Synth. Methods 2020, 11, 181–217. [Google Scholar] [CrossRef]
- Finn, T.; McKenzie, P. A High-Resolution Suitability Index for Solar Farm Location in Complex Landscapes. Renew. Energy 2020, 158, 520–533. [Google Scholar] [CrossRef]
- Nie, X.; Mohamad Daud, W.S.A.W.; Pu, J. A Novel Transactive Integration System for Solar Renewable Energy into Smart Homes and Landscape Design: A Digital Twin Simulation Case Study. Sol. Energy 2023, 262, 111871. [Google Scholar] [CrossRef]
- Nina-Cristina, D. A Regenerative Action as Preservation Measure of Cultural Landscape: The Research of the Photovoltaic Technology upon Transilvania Traditional Architecture. In Proceedings of the World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium WMCAUS, Prague, Czech Republic, 5–9 September 2022. [Google Scholar] [CrossRef]
- Jahangir, M.H.; Mousavi, S.A.; Vaziri Rad, M.A. A Techno-Economic Comparison of a Photovoltaic/Thermal Organic Rankine Cycle with Several Renewable Hybrid Systems for a Residential Area in Rayen, Iran. Energy Convers. Manag. 2019, 195, 244–261. [Google Scholar] [CrossRef]
- Bigiotti, S.; Costantino, C.; Marucci, A. Agritourism Facilities in the Era of the Green Economy: A Combined Energy Audit and Life Cycle Assessment Approach for the Sustainable Regeneration of Rural Structures. Energies 2024, 17, 1101. [Google Scholar] [CrossRef]
- Di Francesco, S.; Petrozzi, A.; Montesarchio, V. An Integrated System for the Energy Production and Accumulation from Renewable Sources: A Rural Tower Prototype. Energy Procedia 2014, 59, 205–212. [Google Scholar] [CrossRef]
- Li, J.; Ren, Y.; Ma, X.; Wang, Q.; Ma, Y.; Yu, Z.; Li, J.; Ma, M.; Li, J. Comprehensive Evaluation of the Working Mode of Multi-Energy Complementary Heating Systems in Rural Areas Based on the Entropy-TOPSIS Model. Energy Build. 2024, 310, 114077. [Google Scholar] [CrossRef]
- Sadowska, B. Effects of Deep Thermal Modernization and Use of Renewable Energy in Public Buildings in North-Eastern Poland. In Proceedings of the International Scientific Conference Engineering for Rural Development, Jelgavia, Latvia, 23–25 May 2018. [Google Scholar] [CrossRef]
- Ahmad, N.A.; Hussain, N.H.M.; Osman, A.T.; Rahim, F.A. Establishing a sustainable solar energy community in the Malaysian rural energy landscape: A case study of perak Tengah, Malaysia. Plan. Malays. 2024, 22, 131–142. [Google Scholar] [CrossRef]
- Mavromatidis, G.; Orehounig, K.; Carmeliet, J. Evaluation of Photovoltaic Integration Potential in a Village. Sol. Energy 2015, 121, 152–168. [Google Scholar] [CrossRef]
- Marzouk, M.A.; Fischer, L.K.; Salheen, M.A. Factors Affecting the Social Acceptance of Agricultural and Solar Energy Systems: The Case of New Cities in Egypt. Ain Shams Eng. J. 2024, 15, 102741. [Google Scholar] [CrossRef]
- Basaly, L.G.; Ibrahim, M.G.; Badawy, N.M.; Refaat Abdelaal, M.; Ali, A.A.M. Improving the Functional Performance of Outdoor Spaces in Hot Arid Region Using Photovoltaics Systems. In Proceedings of the 2019 Advances in Science and Engineering Technology International Conferences, ASET 2019, Dubai, United Arab Emirates, 26 March–10 April 2019. [Google Scholar] [CrossRef]
- Li, X.; Hou, S.S.; Patterson, J.; Perisoglou, E.; Ionas, M.; Jenkins, H.; Jones, P.; Lannon, S.; Bassas, E.C. Modelling and Developing a Neighbourhood Low Carbon System for Five Dwellings in the U.K. In Proceedings of the 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019, Rome, Italy, 2–4 September 2019; ISBN 978-171380941-8. [Google Scholar]
- Mandelli, S.; Brivio, C.; Moncecchi, M.; Riva, F.; Bonamini, G.; Merlo, M. Novel LoadProGen Procedure for Micro-Grid Design in Emerging Country Scenarios: Application to Energy Storage Sizing. Energy Procedia 2017, 135, 367–378. [Google Scholar] [CrossRef]
- Menconi, M.; Stefano, D. Off-grid slaughterhouses: Services and use of renewable energy in inner areas. In Proceedings of the 44th International Symposium on Actual Tasks on Agricultural Engineering, Opatija, Croatia, 23–26 February 2016. [Google Scholar]
- Alberizzi, J.C.; Frigola, J.M.; Rossi, M.; Renzi, M. Optimal Sizing of a Hybrid Renewable Energy System: Importance of Data Selection with Highly Variable Renewable Energy Sources. Energy Convers. Manag. 2020, 223, 113303. [Google Scholar] [CrossRef]
- Quiles-Cucarella, E.; Marquina-Tajuelo, A.; Roldán-Blay, C.; Roldán-Porta, C. Particle Swarm Optimization Method for Stand-Alone Photovoltaic System Reliability and Cost Evaluation Based on Monte Carlo Simulation. Appl. Sci. 2023, 13, 11623. [Google Scholar] [CrossRef]
- Qandil, M.D.; Abbas, A.I.; Al Hamad, S.; Saadeh, W.; Amano, R.S. Performance of Hybrid Renewable Energy Power System for a Residential Building. J. Energy Resour. Technol. 2021, 144, 041301. [Google Scholar] [CrossRef]
- Caputo, P.; Ferrari, S.; Ferla, G.; Zagarella, F. Preliminary Energy Evaluations for the Retrofit of Rural Protected Buildings in a Peripheral Context of Milan. J. Sustain. Dev. Energy Water Environ. Syst. 2020, 8, 715–734. [Google Scholar] [CrossRef]
- Qin, Y.; Zhou, T. Research and Practice of Passive Low Energy Residential Design in Rural Areas of Semi-Urbanized Regions in Hot-Summer and Cold-Winter Zone. IOP Conf. Ser. Earth Environ. Sci. 2021, 766, 012057. [Google Scholar] [CrossRef]
- Udovichenko, A.; Fleck, B.; Weis, T.; Zhong, L. ASHRAE Retrofitting a Light Industrial Space with a Renewable Energy-Assisted Hydroponics Facility in a Rural Northern Canadian Community: Design Protocol. In Proceedings of the ASHRAE Virtual Winter Conference, Online, 9–11 February 2021. [Google Scholar] [CrossRef]
- Hernández Galvez, G.; Dorrego Portela, J.R.; Núñez Rodríguez, A.; Lastres Danguillecourt, O.; Ixtlilco Cortés, L.; Juantorena Ugás, A.; Sarracino Martínez, O.; Sebastian, P.J. Selection of Hybrid Systems with Hydrogen Storage Based on Multiple Criteria: Application to Autonomous Systems and Connected to the Electrical Grid. Int. J. Energy Res. 2014, 38, 702–713. [Google Scholar] [CrossRef]
- Tămăşan, M.; Mărăcineanu, C.; Bica, S.M. Solar Efficient Technologies for Valorising an Archaeological Site in the Rural Area Romania. In Proceedings of the 10th International Conference Processes in Isotopes and Molecules, PIM 2015, Cluj-Napoca, Romania, 23–25 September 2015. [Google Scholar] [CrossRef]
- Barbolini, A.; Semprini, G.; Santangelo, A.; Mousli, K. Strategies to Tackle Energy Poverty in Post-Conflict Setting: The Case Study of Rural Damascus. In Proceedings of the 15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023, Bari, Italy, 18–20 September 2023. [Google Scholar] [CrossRef]
- Dhiman, B.; Kumar, T.; Rituraj, G.; Bhalla, K.; Chakrabarti, D. Study of Small Scale Photovoltaic Applications in Rural Indian Household Context. In Proceedings of the International Conference on Climate Resilient Cities—Energy Efficiency and Renewables in the Digital Era 2019, CISBAT 2019, Lausanne, Switzerland, 4–6 September 2019. [Google Scholar] [CrossRef]
- Wadalkar, S.S.; Patil, V.A.; Joshi, D.A.; Menon, R.; Sonawane, P. Sustainable Approach for Conversion of Building to “Zero Energy Building”. In Proceedings of the 1st International Conference on Green Energy, Environmental Engineering and Sustainable Technologies 2023, ICGEST 2023, Belagavi, India, 5–6 October 2023. [Google Scholar] [CrossRef]
- Fulton, L.; Beauvais, B.; Brooks, M.; Kruse, S.; Lee, K. Sustainable Residential Building Considerations for Rural Areas: A Case Study. Land 2020, 9, 152. [Google Scholar] [CrossRef]
- Zubi, G.; Fracastoro, G.V.; Lujano-Rojas, J.M.; El Bakari, K.; Andrews, D. The Unlocked Potential of Solar Home Systems; an Effective Way to Overcome Domestic Energy Poverty in Developing Regions. Renew. Energy 2019, 132, 1425–1435. [Google Scholar] [CrossRef]
- Cotana, F.; Belardi, P.; Manciola, P.; Tamagnini, C.; Materazzi, A.L.; Fornaciari, M.; Petrozzi, A.; Pisello, A.L.; Cavalaglio, G.; Coccia, V.; et al. TIAR: Renewable Energy Production, Storage and Distribution; A New Multidisciplinary Approach for the Design of Rural Facility. Energy Procedia 2014, 45, 323–332. [Google Scholar] [CrossRef]
- López-Ochoa, L.M.; Sagredo-Blanco, E.; Las-Heras-Casas, J.; García-Lozano, C. Towards Nearly Zero-Energy Buildings in Cold Rural Mediterranean Zones: The Case of La Rioja (Spain). Buildings 2023, 13, 680. [Google Scholar] [CrossRef]
- El Hassani, S.; Charai, M.; Moussaoui, M.A.; Mezrhab, A. Towards Rural Net-Zero Energy Buildings through Integration of Photovoltaic Systems within Bio-Based Earth Houses: Case Study in Eastern Morocco. Sol. Energy 2023, 259, 15–29. [Google Scholar] [CrossRef]
- Balderrama, S.; Lombardi, F.; Riva, F.; Canedo, W.; Colombo, E.; Quoilin, S. A Two-Stage Linear Programming Optimization Framework for Isolated Hybrid Microgrids in a Rural Context: The Case Study of the “El Espino” Community. Energy 2019, 188, 116073. [Google Scholar] [CrossRef]
- Quiles, E.; Roldán-Blay, C.; Escrivá-Escrivá, G.; Roldán-Porta, C. Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability. Sustainability 2020, 12, 1274. [Google Scholar] [CrossRef]
- Chattopadhyay, A.; Sauer, P.W.; Witmer, A.-P. Can Renewable Energy Work for Rural Societies? Exploring Productive Use, Institutions, Support Systems, and Trust for Solar Electricity in the Navajo Nation. Energy Res. Soc. Sci. 2024, 107, 103342. [Google Scholar] [CrossRef]
- Hirwa, G.; Hakizabera, O.; Ishimwe, M.A. Contribution of Solar Energy for Sustainable Urban Development in Rwanda. Civ. Eng. Archit. 2019, 7, 271–277. [Google Scholar] [CrossRef]
- Carrasco, L.M.; Martín-Campo, F.J.; Narvarte, L.; Ortuño, M.T.; Vitoriano, B. Design of Maintenance Structures for Rural Electrification with Solar Home Systems. The Case of the Moroccan Program. Energy 2016, 117, 47–57. [Google Scholar] [CrossRef]
- Orosz, M.S.; Mueller, A.V. Dynamic Simulation of Performance and Cost of Hybrid PV-CSP-LPG Generator Micro Grids with Applications to Remote Communities in Developing Countries. In Proceedings of the ASME 2015 9th International Conference on Energy Sustainability Collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum, San Diego, CA, USA, 28 June–2 July 2015. [Google Scholar] [CrossRef]
- Guerreiro, S.; Botetzagias, I. Empowering Communities–the Role of Intermediary Organisations in Community Renewable Energy Projects in Indonesia. Local Environ. 2018, 23, 158–177. [Google Scholar] [CrossRef]
- Rumbayan, M.; Sompie, S.; Nakanishi, Y. Empowering Remote Island Communities with Renewable Energy: A Preliminary Study of Talaud Island. In Proceedings of the 9th International Conference on Future Environment and Energy, ICFEE 2019, Osaka, Japan, 9–11 January 2019. [Google Scholar] [CrossRef]
- Tucki, K.; Mieszkalski, L.; Kulpa, K. Energy Clusters as Tool in Pursuit of Energy Self-Sufficiency in Selected Rural Area of Poland. In Proceedings of the 19th International Scientific Conference Engineering for Rural Development, ERD 2020, Jelgavia, Latvia, 20–22 May 2020. [Google Scholar] [CrossRef]
- Conway, D.; Robinson, B.; Mudimu, P.; Chitekwe, T.; Koranteng, K.; Swilling, M. Exploring Hybrid Models for Universal Access to Basic Solar Energy Services in Informal Settlements: Case Studies from South Africa and Zimbabwe. Energy Res. Soc. Sci. 2019, 56, 101202. [Google Scholar] [CrossRef]
- Ali, T.; Aghaloo, K.; Nahian, A.J.; Chiu, Y.-R.; Ahmad, M. Exploring the Best Hybrid Energy System for the Off-Grid Rural Energy Scheme in Bangladesh Using a Comprehensive Decision Framework. Energy Sources Part A Recovery Util. Environ. Eff. 2021. [Google Scholar] [CrossRef]
- Hussain, E.K.; Thies, P.R.; Hardwick, J.; Connor, P.M.; Abusara, M. Grid Island Energy Transition Scenarios Assessment Through Network Reliability and Power Flow Analysis. Front. Energy Res. 2021, 8, 584440. [Google Scholar] [CrossRef]
- Martinez, L.R.; Bastida Molina, P.; Ribó-Pérez, D.; Hurtado Pérez, E.; Peñalvo López, E. Identifying energy needs For RURAL electrification projects in off-grid communities. In Proceedings of the International Congress on Project Management and Engineering, San Sebastian, Spain, 10–13 July 2023. [Google Scholar]
- Mokhtara, C.; Negrou, B.; Bouferrouk, A.; Yao, Y.; Settou, N.; Ramadan, M. Integrated Supply–Demand Energy Management for Optimal Design of off-Grid Hybrid Renewable Energy Systems for Residential Electrification in Arid Climates. Energy Convers. Manag. 2020, 221, 113192. [Google Scholar] [CrossRef]
- Ha, Y.-H.; Kumar, S.S. Investigating Decentralized Renewable Energy Systems under Different Governance Approaches in Nepal and Indonesia: How Does Governance Fail? Energy Res. Soc. Sci. 2021, 80, 102214. [Google Scholar] [CrossRef]
- Majumder, D.; Tazdik, J.; Uddin, K.A.; Matin, M.A.A. KPI for Solar PV-Diesel Hybrid Mini Grids in Remote Islands of Bangladesh. Energy Procedia 2016, 103, 262–267. [Google Scholar] [CrossRef]
- Nolan, S.; Strachan, S.; Rakhra, P.; Frame, D. Optimized Network Planning of Mini-Grids for the Rural Electrification of Developing Countries. In Proceedings of the 4th IEEE PES and IAS PowerAfrica Conference, PowerAfrica 2017, Accra, Ghana, 27–30 June 2017. [Google Scholar] [CrossRef]
- Silva, F.; O’Regan, B.; Manhique, M.; Soares, C.; Mould, K.; Lyons, P. Social Innovation for Community Energy in Developing Countries—New Models and a Mozambican Case Study. In Proceedings of the Applied Energy Symposium, MIT A+B 2022, Cambridge, UK, 5–8 July 2022. [Google Scholar] [CrossRef]
- Gajic, M.; Greenwood, K. Solar Home System Program in Rural East Timor Putting Communities First. In Proceedings of the 5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017, Dhaka, Bangladesh, 21–23 December 2017. [Google Scholar] [CrossRef]
- Prilandita, N.; Sagala, S.; Azhari, D.; Habib, A.H. Rural Renewable Energy Development: Lessons Learned from Community-Based Renewable Energy Business Model in East Sumba, Indonesia. IOP Conf. Ser. Earth Environ. Sci. 2022, 1015, 012017. [Google Scholar] [CrossRef]
- Mulenga, E.; Kabanshi, A.; Mupeta, H.; Ndiaye, M.; Nyirenda, E.; Mulenga, K. Techno-Economic Analysis of off-Grid PV-Diesel Power Generation System for Rural Electrification: A Case Study of Chilubi District in Zambia. Renew. Energy 2023, 203, 601–611. [Google Scholar] [CrossRef]
- Musselman, A.; Thomas, V.M.; Nazzal, D.; Papageorgiou, D.J.; Venkatesh, A.; Mallapragada, D.S. The Impact of Development Priorities on Power System Expansion Planning in Sub-Saharan Africa. Energy Syst. 2022, 13, 461–492. [Google Scholar] [CrossRef]
- Khalid, R.; Landini, S.; Valasai, G.D.; Khalid, F.; Sandwell, P. Towards Equitable and Inclusive Energy Systems for Remote Off-Grid Communities: A Socio-Technical Assessment of Solar Power for Village Helario in Tharparkar, Pakistan. Renew. Sustain. Energy Transit. 2023, 4, 100067. [Google Scholar] [CrossRef]
- Semeraro, T.; Aretano, R.; Barca, A.; Pomes, A.; Del Giudice, C.; Gatto, E.; Lenucci, M.; Buccolieri, R.; Emmanuel, R.; Gao, Z.; et al. A Conceptual Framework to Design Green Infrastructure: Ecosystem Services as an Opportunity for Creating Shared Value in Ground Photovoltaic Systems. Land 2020, 9, 238. [Google Scholar] [CrossRef]
- Moussa, R.R.; Mahmoud, A.H.; Hatem, T.M. A Digital Tool for Integrating Renewable Energy Devices within Landscape Elements: Energy-Scape Online Application. J. Clean. Prod. 2020, 254, 119932. [Google Scholar] [CrossRef]
- Barrera-Zapata, M.; Zuñiga-Cortes, F.; Caicedo-Bravo, E. A Framework for Evaluating Renewable Energy for Decision-Making Integrating a Hybrid FAHP-TOPSIS Approach: A Case Study in Valle Del Cauca, Colombia. Data 2023, 8, 137. [Google Scholar] [CrossRef]
- Curto, D.; Franzitta, V.; Trapanese, M.; Cirrincione, M. A Preliminary Energy Assessment to Improve the Energy Sustainability in the Small Islands of the Mediterranean Sea. J. Sustain. Dev. Energy Water Environ. Syst. 2020, 8, 735–753. [Google Scholar] [CrossRef]
- Hermoso, V.; Bota, G.; Brotons, L.; Morán-Ordóñez, A. Addressing the Challenge of Photovoltaic Growth: Integrating Multiple Objectives towards Sustainable Green Energy Development. Land Use Policy 2023, 128, 106592. [Google Scholar] [CrossRef]
- Mehta, K.; Shah, M.J.; Zörner, W. Agri-PV (Agrivoltaics) in Developing Countries: Advancing Sustainable Farming to Address the Water–Energy–Food Nexus. Energies 2024, 17, 4440. [Google Scholar] [CrossRef]
- Ressar, K.; Muhar, A.; Schauppenlehner, T. Agrivoltaics in Austria: A Stakeholder Perspective on the Opportunities and Constraints of Synergetic Land Use. AIP Conf. Proc. 2021, 2361, 020001. [Google Scholar] [CrossRef]
- Ye, W.; Ma, E.; Liao, L.; Hui, Y.; Liang, S.; Ji, Y.; Yu, S. Applicability of Photovoltaic Panel Rainwater Harvesting System in Improving Water-Energy-Food Nexus Performance in Semi-Arid Areas. Sci. Total Environ. 2023, 896, 164938. [Google Scholar] [CrossRef]
- Mohanrajan, S.R.; Kavitha, D.; Kumar, G.P. Effective Planning and Analysis of Solar Panels in the Wind Farm. In Proceedings of the 2024 12th International Conference on Smart Grid, Setubal, Portugal, 27 May 2024. [Google Scholar] [CrossRef]
- Ford, R.; Walton, S.; Stephenson, J.; Rees, D.; Scott, M.; King, G.; Williams, J.; Wooliscroft, B. Emerging Energy Transitions: PV Uptake beyond Subsidies. Technol. Forecast. Soc. Change 2017, 117, 138–150. [Google Scholar] [CrossRef]
- Um, D.-B. Exploring the Operational Potential of the Forest-Photovoltaic Utilizing the Simulated Solar Tree. Sci. Rep. 2022, 12, 12838. [Google Scholar] [CrossRef]
- Semeraro, T.; Aretano, R.; Pomes, A. Green Infrastructure to Improve Ecosystem Services in the Landscape Urban Regeneration. IOP Conf. Ser. Mater. Sci. Eng. 2017, 245, 082044. [Google Scholar] [CrossRef]
- Shobe, C. How Impervious Are Solar Arrays? On the Need for Geomorphic Assessment of Energy Transition Technologies. Earth Surf. Process. Landf. 2022, 47, 3219–3223. [Google Scholar] [CrossRef]
- Schindele, S.; Trommsdorff, M.; Schlaak, A.; Obergfell, T.; Bopp, G.; Reise, C.; Braun, C.; Weselek, A.; Bauerle, A.; Högy, P.; et al. Implementation of Agrophotovoltaics: Techno-Economic Analysis of the Price-Performance Ratio and Its Policy Implications. Appl. Energy 2020, 265, 114737. [Google Scholar] [CrossRef]
- Buckley Biggs, N.; Shivaram, R.; Acuña Lacarieri, E.; Varkey, K.; Hagan, D.; Young, H.; Lambin, E.F. Landowner Decisions Regarding Utility-Scale Solar Energy on Working Lands: A Qualitative Case Study in California. Environ. Res. Commun. 2022, 4, 055010. [Google Scholar] [CrossRef]
- Corona, B.; San Miguel, G. Life Cycle Sustainability Analysis Applied to an Innovative Configuration of Concentrated Solar Power. Int. J. Life Cycle Assess. 2019, 24, 1444–1460. [Google Scholar] [CrossRef]
- Chodkowska-Miszczuk, J.; Kola-Bezka, M.; Lewandowska, A.; Martinát, S. Local Communities’ Energy Literacy as a Way to Rural Resilience—An Insight from Inner Peripheries. Energies 2021, 14, 2575. [Google Scholar] [CrossRef]
- Oudes, D.; Stremke, S. Next Generation Solar Power Plants? A Comparative Analysis of Frontrunner Solar Landscapes in Europe. Renew. Sustain. Energy Rev. 2021, 145, 111101. [Google Scholar] [CrossRef]
- Perrotti, D. Of Other (Energy) Spaces: Protected Areas and Everyday Landscapes of Energy in the Southern Italian Region of Alta Murgia. In Renew. Energies and European Landscapes: Lessons from South. European Cases; Springer: Houten, The Netherlands, 2015; pp. 193–216. [Google Scholar] [CrossRef]
- Candas, S.; Reveron Baecker, B.; Mohapatra, A.; Hamacher, T. Optimization-Based Framework for Low-Voltage Grid Reinforcement Assessment under Various Levels of Flexibility and Coordination. Appl. Energy 2023, 343, 121147. [Google Scholar] [CrossRef]
- Dujardin, J.; Schillinger, M.; Kahl, A.; Savelsberg, J.; Schlecht, I.; Lordan-Perret, R. Optimized Market Value of Alpine Solar Photovoltaic Installations. Renew. Energy 2022, 186, 878–888. [Google Scholar] [CrossRef]
- Lingfors, D.; Widén, J.; Marklund, J.; Boork, M.; Larsson, D. Photovoltaics in Swedish Agriculture: Technical Potential, Grid Integration and Profitability. In Proceedings of the ISES Solar World Congress 2015, SWC 2015, Daegu, Republic of Korea, 8–12 November 2015. [Google Scholar] [CrossRef]
- Zardo, L.; Granceri Bradaschia, M.; Musco, F.; Maragno, D. Promoting an Integrated Planning for a Sustainable Upscale of Renewable Energy. A Regional GIS-Based Comparison between Ecosystem Services Tradeoff and Policy Constraints. Renew. Energy 2023, 217, 119131. [Google Scholar] [CrossRef]
- Wang, H.-W.; Dodd, A.; Ko, Y. Resolving the Conflict of Greens: A GIS-Based and Participatory Least-Conflict Siting Framework for Solar Energy Development in Southwest Taiwan. Renew. Energy 2022, 197, 879–892. [Google Scholar] [CrossRef]
- Mostegl, N.M.; Pröbstl-Haider, U.; Haider, W. Spatial Energy Planning in Germany: Between High Ambitions and Communal Hesitations. Landsc. Urban Plan. 2017, 167, 451–462. [Google Scholar] [CrossRef]
- Oudes, D.; Stremke, S. Spatial Transition Analysis: Spatially Explicit and Evidence-Based Targets for Sustainable Energy Transition at the Local and Regional Scale. Landsc. Urban Plan. 2018, 169, 1–11. [Google Scholar] [CrossRef]
- Njoroge, P.; Ambole, A.; Githira, D.; Outa, G. Steering Energy Transitions through Landscape Governance: Case of Mathare Informal Settlement, Nairobi, Kenya. Land 2020, 9, 206. [Google Scholar] [CrossRef]
- Quirapas Franco, M.A.J.; Taeihagh, A. Sustainable Energy Adoption in Poor Rural Areas: A Comparative Case Perspective from the Philippines. Energy Sustain. Dev. 2024, 79, 101389. [Google Scholar] [CrossRef]
- Kansongue, N.; Njuguna, J.; Vertigans, S. Sustainable Energy for Emerging Nations Development—A Case Study on Togo Renewable Energy. In Proceedings of the 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018, Cape Town, South Africa, 26–29 June 2018. [Google Scholar] [CrossRef]
- Omer, A.M. Sustainable Energy: Challenges of Implementing New Technologies. In Environmental Research Summaries: Volume 2; Nova Science Publishers: New York, NY, USA, 2016; pp. 17–23. ISBN 978-162257603-6. [Google Scholar]
- Chawla, U.; Mohnot, R.; Fadahunsi, A.; Mulchandani, D. The Bright Revolution: Accelerating Adoption of Solar Energy in India’s Dynamic Landscape. Int. J. Energy Econ. Policy 2024, 14, 226–233. [Google Scholar] [CrossRef]
- Powell, J.; Welsh, J. The Economics of Integrating Alternative Energy: A Farm Case Study at Emerald, Queensland. Aust. Farm Bus. Manag. J. 2019, 16, 1–16. [Google Scholar] [CrossRef]
- Mérida-Rodríguez, M.; Lobón-Martín, R.; Perles-Roselló, M.-J. The Production of Solar Photovoltaic Power and Its Landscape Dimension: The Case of Andalusia (Spain). In Renewable Energies and European Landscapes: Lessons from South. European Cases; Springer: Houten, The Netherlands, 2015; pp. 255–278. [Google Scholar] [CrossRef]
- Anbumozhi, V. Toward Inclusive and Sustainable Rural Energy Transition: Defining Parameters of Successful Community Participation in India. In Energy Policy for Peace; Elsevier: Amsterdam, Netherlands, 2023; pp. 153–164. [Google Scholar] [CrossRef]
- Roddis, P.; Roelich, K.; Tran, K.; Carver, S.; Dallimer, M.; Ziv, G. What Shapes Community Acceptance of Large-Scale Solar Farms? A Case Study of the UK’s First ‘Nationally Significant’ Solar Farm. Sol. Energy 2020, 209, 235–244. [Google Scholar] [CrossRef]
- Liu, S.; Guan, Y.; Chen, W.; Peng, Z. The Transformation of Rural Areas Located in China’s Agricultural Heritage Systems under the Evolution of Urban–Rural Relationships. Sustainability 2023, 15, 16408. [Google Scholar] [CrossRef]
- Ju, F.; Yang, R.; Yang, C. Analysis of Spatiotemporal Dynamics and Driving Factors of China’s Nationally Important Agricultural Heritage Systems. Agriculture 2025, 15, 221. [Google Scholar] [CrossRef]
- Italian Republic. Constitution of the Italian Republic; Official Gazette: Rome, Italy, 1948. [Google Scholar]
- Di Stefano, V.; Paletto, A.; Cortignani, R.; Di Domenico, G. Fostering Digitalization: How Local Policies Are Transforming Rural Areas in Italy. Forests 2025, 16, 260. [Google Scholar] [CrossRef]
- Council of Europe. European Landscape Convention; Council of Europe Treaty Series No. 176; Council of Europe: Florence, Italy, 2000. [Google Scholar]
- Aimar, F.; Cavagnino, F.; Devecchi, M. Conservation and Management of Agricultural Landscapes through Expert-Supported Participatory Processes: The “Declarations of Public Interest” in an Italian Province. Sustainability 2022, 14, 8843. [Google Scholar] [CrossRef]
- Yaohong, W.; Firdaus, R.B.R.; Xu, J.; Dharejo, N.; Jun, G. China’s Rural Revitalization Policy: A PRISMA 2020 Systematic Review of Poverty Alleviation, Food Security, and Sustainable Development Initiatives. Sustainability 2025, 17, 569. [Google Scholar] [CrossRef]
- Peng, J.; Yan, S.; Strijker, D.; Wu, Q.; Chen, W.; Ma, Z. The Influence of Place Identity on Perceptions of Landscape Change: Exploring Evidence from Rural Land Consolidation Projects in Eastern China. Land Use Policy 2020, 99, 104891. [Google Scholar] [CrossRef]
- Macrì, M.C.; Orsini, S. Policy Instruments to Improve Foreign Workforce’s Position and Social Sustainability of the Agriculture in Italy. Sustainability 2024, 16, 4998. [Google Scholar] [CrossRef]
- Marchetti, B.; Vitali, M.; Biancini, G. Renewable Energy Proliferation and the New Local Energy Community Paradigm: Analysis of a Case Study in Italy. Energies 2024, 17, 1599. [Google Scholar] [CrossRef]
- Italian Government. Legislative Decree No. 42 of 22 January 2004. In Code of Cultural Heritage and Landscape; Official Gazette of the Italian Republic, No. 45; Italian Government: Rome, Italy, 2004. [Google Scholar]
- Kirby, A. Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool. Publications 2023, 11, 10. [Google Scholar] [CrossRef]
- Chiapponi, M. Ambiente: Gestione e Strategia. Un Contributo alla Teoria della Progettazione Ambientale; Feltrinelli: Milano, Italy, 1989. [Google Scholar]
- Bigiotti, S. La Grammatica del Progetto Sostenibile. Le Nuove Figure della Composizione Architettonica Dell’abitare nel Rispetto della Qualità Ambientale; Architetti Roma Edizioni: Rome, Italy, 2021; ISBN 9788899836429. [Google Scholar]
- Bigiotti, S.; Costantino, C.; Santarsiero, M.L.; Marucci, A. A Methodological Approach for Assessing the Interaction Between Rural Landscapes and Built Structures: A Case Study of Winery Architecture in Tuscany, Italy. Land 2025, 14, 152. [Google Scholar] [CrossRef]
- Sereni, E. Storia del Paesaggio Agrario Italiano, 3rd ed.; Laterza: Bari, Italy, 2020; ISBN 9788858140741. [Google Scholar]
- Costantino, C.; Bigiotti, S.; Marucci, A.; Gulli, R. Long-Term Comparative Life Cycle Assessment, Cost, and Comfort Analysis of Heavyweight vs. Lightweight Construction Systems in a Mediterranean Climate. Sustainability 2024, 16, 8959. [Google Scholar] [CrossRef]
- Bigiotti, S.; Santarsiero, M.L.; Del Monaco, A.I.; Marucci, A.A. Typological Analysis Method for Rural Dwellings: Architectural Features, Historical Transformations, and Landscape Integration: The Case of “Capo Due Rami”, Italy. Land 2025, 14, 374. [Google Scholar] [CrossRef]
- Salvucci, G.; Scarpitta, D.; Maialetti, M.; Rontos, K.; Bigiotti, S.; Sateriano, A.; Muolo, A. Measuring Data Quality from Building Registers: A Case Study in Italy. Geographies 2024, 4, 596–611. [Google Scholar] [CrossRef]
- Bigiotti, S.; Costantino, C.; Marucci, A. Decision-Making Tools for Sustainable Recovery of Rural Villages: Planning Policies and Implementation Strategies for Valorizing Small Communities in Inner Areas under the Next Generation EU Programme. In WIT Transactions on Ecology and the Environment; Syngellakis, S., Ed.; WIT Press: Ashurst, UK, 2024; Volume 262, pp. 479–494. [Google Scholar] [CrossRef]
- Zhang, Y.; Wang, L.; Chen, X.; Zhao, H. Enhancement of thermal performance in solar air collectors using S-shaped artificial roughness. Energy Storage 2023, 56, 109289. [Google Scholar] [CrossRef]
- Liu, M.; Li, J.; Zhou, Q. Robust unit commitment in renewable energy systems using machine learning techniques. Int. J. Electr. Power Energy Syst. 2024, 145, 110087. [Google Scholar] [CrossRef]
- Blaschke, T.; Biberacher, M.; Gadocha, S.; Schardinger, I. ‘Energy Landscapes’: Meeting Energy Demands and Human Aspirations. Biomass Bioenergy 2013, 55, 3–16. [Google Scholar] [CrossRef] [PubMed]
Macro-Groups | Descriptions |
---|---|
MG-01 | Implementation of photovoltaic technology and potential transformation of buildings and agricultural lands subject to protection and enhancement regulations. |
MG-02 | Implementation of photovoltaic technology for the electrification of remote and non-urbanized agricultural areas. |
MG-03 | Implementation of agrivoltaic technology on a large scale in agricultural areas. |
Macro-Groups | Code | Descriptions |
---|---|---|
MG-01 | Q1–Q2 |
|
MG-02 | Q3–Q4 |
|
MG-03 | Q5–Q6 |
|
Database | Result | Search Matrix Type |
---|---|---|
Scopus | 18,033 | “Photovoltaic” AND “Landscape” AND “Rural Building” AND “Solar technology” AND “Renewable energy”, “Sustainable landscape” AND “Landscape conservation” AND “Heritage rural” AND “Visual impact” |
WoS | 23,203 |
Macro-Group 01 | ||||
---|---|---|---|---|
Reference | Author | Title | Year | Region |
[33] | Finn, T; McKenzie, P. | A high-resolution suitability index for solar farm location in complex landscapes | 2020 | UK |
[34] | Nie, X.X.; Daud, WSAWM; Pu, J. | A novel transactive integration system for solar renewable energy into smart homes and landscape design: A digital twin simulation case study | 2023 | China |
[35] | Nina-Cristina D. | A regenerative action as preservation measure of cultural landscape: The research of the photovoltaic technology upon transilvania traditional architecture | 2023 | Romania |
[36] | Jahangir, M.H.; Mousavi, S.A.; Rad, M.A.V. | A techno-economic comparison of a photovoltaic/thermal organic Rankine cycle with several renewable hybrid systems for a residential area in Rayen, Iran | 2019 | Iran |
[37] | Bigiotti, S; Costantino, C; Marucci, A. | Agritourism Facilities in the Era of the Green Economy: A Combined Energy Audit and Life Cycle Assessment Approach for the Sustainable Regeneration of Rural Structures | 2024 | Italy |
[38] | Di Francesco, S; Petrozzi, A; Montesarchio, V | An integrated system for the energy production and accumulation from renewable sources: a rural tower prototype | 2014 | Italy |
[39] | Li, J; Ren, Y.C.; Ma, X.B.; Wang, Q.G.; Ma, Y.W.; Yu, Z.W.; Li, J; Ma, M.G.; Li, J.F. | Comprehensive evaluation of the working mode of multi-energy complementary heating systems in rural areas based on the entropy-TOPSIS model | 2024 | China |
[40] | Sadowska, B. | Effects of deep thermal modernization and use of renewable energy in public buildings in north-eastern Poland | 2018 | Poland |
[41] | Ahmad N.A.; Hussain N.H.M.; Osman A.T.; Rahim F.A. | Establishing a sustainable solar energy community in the malaysian rural energy landscape: a case study of Perak Tengah, Malaysia | 2024 | Malaysia |
[42] | Mavromatidis G.; Orehounig K.; Carmeliet J. | Evaluation of photovoltaic integration potential in a village | 2015 | Switzerland |
[43] | Marzouk, MA; Fischer, LK; Salheen, M.A. | Factors affecting the social acceptance of agricultural and solar energy systems: The case of new cities in Egypt | 2024 | Germany |
[44] | Basaly L.G.; Ibrahim M.G.; Badawy N.M.; Refaat Abdelaal M.; Ali A.A.M. | Improving the functional performance of outdoor spaces in hot arid region using photovoltaics systems | 2019 | Egypt |
[45] | Li X.; Hou S.S.; Patterson J.; Perisoglou E.; Ionas M.; Jenkins H.; Jones P.; Lannon S.; Bassas E.C. | Modelling and developing a neighbourhood low carbon system for five dwellings in the U.K. | 2019 | UK |
[46] | Mandelli, S; Brivio, C; Moncecchi, M; Riva, F; Bonamini, G; Merlo, M. | Novel LoadProGen procedure for micro-grid design in emerging country scenarios: application to energy storage sizing | 2017 | Italy |
[47] | Menconi, ME; Stefano, D. | Off-grid slaughterhouses: services and use of renewable energy in inner areas | 2016 | Italy |
[48] | Alberizzi, JC; Frigola, JM; Rossi, M; Renzi, M. | Optimal sizing of a Hybrid Renewable Energy System: Importance of data selection with highly variable renewable energy sources | 2020 | Italy |
[49] | Quiles-Cucarella, E; Marquina-Tajuelo, A; Roldán-Blay, C; Roldán-Porta, C. | Particle Swarm Optimization Method for Stand-Alone Photovoltaic System Reliability and Cost Evaluation Based on Monte Carlo Simulation | 2023 | Spain |
[50] | Qandil, MD; Abbas, AI; Al Hamad, S; Saadeh, W; Amano, R.S. | Performance of Hybrid Renewable Energy Power System for a Residential Building | 2022 | USA |
[51] | Caputo, P; Ferrari, S; Ferla, G; Zagarella, F | Preliminary Energy Evaluations for the Retrofit of Rural Protected Buildings in a Peripheral Context of Milan | 2020 | Italy |
[52] | Qin Y.; Zhou T. | Research and Practice of Passive Low Energy Residential Design in Rural Areas of Semi-Urbanized Regions in Hot-summer and Cold-winter Zone | 2021 | China |
[53] | Udovichenko, A; Fleck, B; Weis, T; Zhong, LX. | Retrofitting a Light Industrial Space with a Renewable Energy-Assisted Hydroponics Facility in a Rural Northern Canadian Community: Design Protocol | 2021 | Russia |
[54] | Galvez, GH; Portela, JRD; Rodríguez, AN; Danguillecourt, OL; Cortés, LI; Ugás, AJ; Martínez, OS; Sebastian, PJ. | Selection of hybrid systems with hydrogen storage based on multiple criteria: application to autonomous systems and connected to the electrical grid | 2014 | Mexico |
[55] | Tamasan, M; Maracineanu, C; Bica, S.M. | Solar Efficient Technologies for Valorising an Archaeological Site in the Rural Area Romania | 2015 | Romania |
[56] | Barbolini A.; Semprini G.; Santangelo A.; Mousli K. | Strategies to Tackle Energy Poverty in Post-conflict Setting: The Case Study of Rural Damascus | 2024 | Italy |
[57] | Dhiman, B; Kumar, T; Rituraj, G; Bhalla, K; Chakrabarti, D. | Study of small scale photovoltaic applications in rural Indian household context | 2019 | India |
[58] | Wadalkar S.S.; Patil V.A.; Joshi D.A.; Menon R.; Sonawane P. | Sustainable Approach for Conversion of Building to ‘Zero Energy Building’ | 2023 | India |
[59] | Fulton, L; Beauvais, B; Brooks, M; Kruse, S; Lee, K. | Sustainable Residential Building Considerations for Rural Areas: A Case Study | 2020 | USA |
[60] | Zubi G.; Fracastoro G.V.; Lujano-Rojas J.M.; El Bakari K.; Andrews D. | The unlocked potential of solar home systems; an effective way to overcome domestic energy poverty in developing regions | 2019 | Italy |
[61] | Cotana, F; Belardi, P; Manciola, P; Tamagnini, C; Materazzi, AL; Fornaciari, M; Petrozzi, A; Pisello, AL; Cavalaglio, G; Coccia, V; Pagnotta, G; Menchetelli, V; Di Francesco, S; Salciarini, D; Cavalagli, N; Ubertini, F; Orlandi, F; Bonofiglio, T. | TIAR: Renewable energy production, storage and distribution; a new multidisciplinary approach for the design of rural facility | 2014 | Italy |
[62] | López-Ochoa, L.M.; Sagredo-Blanco, E; Las-Heras-Casas, J; García-Lozano, C. | Towards Nearly Zero-Energy Buildings in Cold Rural Mediterranean Zones: The Case of La Rioja (Spain) | 2023 | Spain |
[63] | El Hassani, S; Charai, M; Moussaoui, M.A.; Mezrhab, A. | Towards rural net-zero energy buildings through integration of photovoltaic systems within bio-based earth houses: Case study in Eastern Morocco | 2023 | Morocco |
Macro-Group 02 | ||||
---|---|---|---|---|
Reference | Author | Title | Year | Region |
[64] | Balderrama, S; Lombardi, F; Riva, F; Canedo, W; Colombo, E; Quoilin, S | A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the El Espino community | 2019 | Bolivia |
[65] | Quiles, E; Roldán-Blay, C; Escrivá-Escrivá, G; Roldán-Porta, C. | Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability | 2019 | Belgium |
[66] | Chattopadhyay, A; Sauer, PW; Witmer, A.P. | Can renewable energy work for rural societies? Exploring productive use, institutions, support systems, and trust for solar electricity in the Navajo Nation | 2020 | Spain |
[67] | Gloria H.; Olivier H.; Angella I.M. | Contribution of solar energy for sustainable urban development in rwanda | 2024 | USA |
[68] | Carrasco L.M.; Martín-Campo F.J.; Narvarte L.; Ortuño M.T.; Vitoriano B. | Design of maintenance structures for rural electrification with solar home systems. The case of the Moroccan program | 2019 | China |
[69] | Orosz M.S.; Mueller A.V. | Dynamic simulation of performance and cost of hybrid PV-CSP-LPG generator micro grids with applications to remote communities in developing countries | 2016 | Spain |
[70] | Guerreiro S.; Botetzagias I. | Empowering communities–the role of intermediary organisations in community renewable energy projects in Indonesia | 2015 | USA |
[71] | Rumbayan M.; Sompie S.; Nakanishi Y. | Empowering remote island communities with renewable energy: A preliminary study of Talaud Island | 2018 | Thailand |
[72] | Tucki, K; Mieszkalski, L; Kulpa, K. | Energy clusters as tool in pursuit of energy self-sufficiency in selected rural area of poland | 2019 | Indonesia |
[73] | Conway, D; Robinson, B; Mudimu, P; Chitekwe, T; Koranteng, K; Swilling, M. | Exploring hybrid models for universal access to basic solar energy services in informal settlements: Case studies from South Africa and Zimbabwe | 2020 | Poland |
[74] | Ali T.; Aghaloo K.; Nahian A.J.; Chiu Y.-R.; Ahmad M. | Exploring the best hybrid energy system for the off-grid rural energy scheme in Bangladesh using a comprehensive decision framework | 2019 | South Africa |
[75] | Hussain, EK; Thies, PR; Hardwick, J; Connor, PM; Abusara, M. | Grid Island Energy Transition Scenarios Assessment Through Network Reliability and Power Flow Analysis | 2021 | China |
[76] | Martinez L.R.; Bastida Molina P.; Ribó-Pérez D.; Hurtado Pérez E.; Peñalvo López E. | Identifying energy needs for rural electrification projects in off-grid communities; [identificando las necesidades energéticas para proyectos de electrificación rural de comunidades aisladas de la red eléctrica] | 2021 | UK |
[77] | Mokhtara C.; Negrou B.; Bouferrouk A.; Yao Y.; Settou N.; Ramadan M. | Integrated supply–demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates | 2023 | Spain |
[78] | Ha, YH; Kumar, S.S. | Investigating decentralized renewable energy systems under different governance approaches in Nepal and Indonesia: How does governance fail? | 2020 | Algeria |
[79] | Majumder, D; Tazdik, J; Uddin, KA; Al Matin, M.A. | KPI for Solar PV-diesel hybrid mini grids in remote islands of Bangladesh | 2021 | South Korea |
[80] | Nolan S.; Strachan S.; Rakhra P.; Frame D. | Optimized network planning of mini-grids for the rural electrification of developing countries | 2016 | Bangladesh |
[81] | Silva F.; O’Regan B.; Manhique M.; Soares C.; Mould K.; Lyons P. | Social innovation for community energy in developing countries—new models and a Mozambican case study | 2017 | UK |
[82] | Gajic M.; Greenwood K. | Solar home system program in rural east timor putting communities first | 2022 | Ireland |
[83] | Prilandita N.; Sagala S.; Azhari D.; Habib A.H. | Rural renewable energy development: Lessons learned from community-based renewable energy business model in East Sumba, Indonesia | 2018 | Australia |
[84] | Mulenga, E; Kabanshi, A; Mupeta, H; Ndiaye, M; Nyirenda, E; Mulenga, K. | Techno-economic analysis of off-grid PV-Diesel power generation system for rural electrification: A case study of Chilubi district in Zambia | 2022 | Indonesia |
[85] | Musselman, A; Thomas, VM; Nazzal, D; Papageorgiou, DJ; Venkatesh, A; Mallapragada, D.S. | The impact of development priorities on power system expansion planning in sub-Saharan Africa | 2023 | Sweden |
[86] | Khalid, R; Landini, S; Das Valasai, G; Khalid, F; Sandwell, P. | Towards equitable and inclusive energy systems for remote off-grid communities: A socio-technical assessment of solar power for village Helario in Tharparkar, Pakistan | 2022 | USA |
Macro-Group 03 | ||||
---|---|---|---|---|
Reference | Author | Title | Year | Region |
[87] | Semeraro, T; Aretano, R; Barca, A; Pomes, A; Del Giudice, C; Gatto, E; Lenucci, M; Buccolieri, R; Emmanuel, R; Gao, Z; Scognamiglio, A | A Conceptual Framework to Design Green Infrastructure: Ecosystem Services as an Opportunity for Creating Shared Value in Ground Photovoltaic Systems | 2020 | Italy |
[88] | Moussa, RR; Mahmoud, AH; Hatem, TM. | A digital tool for integrating renewable energy devices within landscape elements: Energy-scape online application | 2020 | Italy |
[89] | Barrera-Zapata, M; Zuñiga-Cortes, F; Caicedo-Bravo, E. | A Framework for Evaluating Renewable Energy for Decision-Making Integrating a Hybrid FAHP-TOPSIS Approach: A Case Study in Valle del Cauca, Colombia | 2020 | Egypt |
[90] | Curto, D; Franzitta, V; Trapanese, M; Cirrincione, M. | A Preliminary Energy Assessment to Improve the Energy Sustainability in the Small Islands of the Mediterranean Sea | 2023 | Colombia |
[91] | Hermoso, V; Bota, G; Brotons, L; Morán-Ordóñez, A. | Addressing the challenge of photovoltaic growth: Integrating multiple objectives towards sustainable green energy development | 2020 | Italy |
[92] | Mehta K.; Shah M.J.; Zörner W. | Agri-PV (Agrivoltaics) in Developing Countries: Advancing Sustainable Farming to Address the Water–Energy–Food Nexus | 2023 | Spain |
[93] | Ressar, K; Muhar, A; Schauppenlehner, T. | Agrivoltaics in Austria: A Stakeholder Perspective on the Opportunities and Constraints of Synergetic Land Use | 2024 | Germany |
[94] | Ye, WY; Ma, EP; Liao, LW; Hui, YA; Liang, SY; Ji, YW; Yu, S. | Applicability of photovoltaic panel rainwater harvesting system in improving water-energy-food nexus performance in semi-arid areas | 2021 | Austria |
[95] | Mohanrajan, SR; Kavitha, D; Kumar, GP. | Effective Planning and Analysis of Solar Panels in the Wind Farm | 2023 | China |
[96] | Ford, R; Walton, S; Stephenson, J; Rees, D; Scott, M; King, G; Williams, J; Wooliscroft, B. | Emerging energy transitions: PV uptake beyond subsidies | 2024 | India |
[97] | Um, DB. | Exploring the operational potential of the forest-photovoltaic utilizing the simulated solar tree | 2017 | New Zealand |
[98] | Semeraro, T; Aretano, R; Pomes, A. | Green Infrastructure to Improve Ecosystem Services in the Landscape Urban Regeneration | 2022 | South Korea |
[99] | Shobe, C. | How impervious are solar arrays? On the need for geomorphic assessment of energy transition technologies | 2017 | Italy |
[100] | Schindele, S; Trommsdorff, M; Schlaak, A; Obergfell, T; Bopp, G; Reise, C; Braun, C; Weselek, A; Bauerle, A; Högy, P; Goetzberger, A; Weber, E. | Implementation of agrophotovoltaics: Techno-economic analysis of the price-performance ratio and its policy implications | 2022 | USA |
[101] | Buckley Biggs, N.B.; Shivaram, R; Lacarieri, EA; Varkey, K; Hagan, D; Young, H; Lambin, E.F. | Landowner decisions regarding utility-scale solar energy on working lands: a qualitative case study in California | 2020 | Germany |
[102] | Corona, B; San Miguel, G. | Life cycle sustainability analysis applied to an innovative configuration of concentrated solar power | 2022 | USA |
[103] | Chodkowska-Miszczuk J.; Kola-Bezka M.; Lewandowska A.; Martinát S. | Local communities’ energy literacy as a way to rural resilience—an insight from inner peripheries | 2019 | Spain |
[104] | Oudes, D; Stremke, S. | Next generation solar power plants? A comparative analysis of frontrunner solar landscapes in Europe | 2021 | Poland |
[105] | Perrotti D. | Of other (energy) spaces: Protected areas and everyday landscapes of energy in the southern Italian region of Alta Murgia | 2021 | Netherlands |
[106] | Candas, S; Baecker, BR; Mohapatra, A; Hamacher, T. | Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination | 2015 | France |
[107] | Dujardin, J; Schillinger, M; Kahl, A; Savelsberg, J; Schlecht, I; Lordan-Perret, R. | Optimized market value of alpine solar photovoltaic installations | 2023 | Germany |
[108] | Lingfors, D; Widén, J; Marklund, J; Boork, M; Larsson, D. | Photovoltaics in Swedish agriculture: Technical potential, grid integration and profitability | 2022 | Switzerland |
[109] | Zardo, L; Bradaschia, MG; Musco, F; Maragno, D. | Promoting an integrated planning for a sustainable upscale of renewable energy. A regional GIS-based comparison between ecosystem services tradeoff and policy constraints | 2015 | Sweden |
[110] | Wang, HW; Dodd, A; Ko, YK. | Resolving the conflict of greens: A GIS-based and participatory least-conflict siting framework for solar energy development in southwest Taiwan | 2023 | Italy |
[111] | Mostegl, NM; Pröbstl-Haider, U; Haider, W. | Spatial energy planning in Germany: Between high ambitions and communal hesitations | 2022 | China |
[112] | Oudes, D; Stremke, S. | Spatial transition analysis: Spatially explicit and evidence-based targets for sustainable energy transition at the local and regional scale | 2017 | Austria |
[113] | Njoroge, P; Ambole, A; Githira, D; Outa, G. | Steering Energy Transitions through Landscape Governance: Case of Mathare Informal Settlement, Nairobi, Kenya | 2018 | Netherlands |
[114] | Quirapas Franco, M.A.J.Q.; Taeihagh, A. | Sustainable energy adoption in poor rural areas: A comparative case perspective from the Philippines | 2020 | Kenya |
[115] | Kansongue N.; Njuguna J.; Vertigans S. | Sustainable Energy for Emerging Nations Development—A Case Study on Togo Renewable Energy | 2024 | Singapore |
[116] | Omer A.M. | Sustainable Energy: Challenges of Implementing New Technologies | 2018 | UK |
[117] | Chawla U.; Mohnot R.; Fadahunsi A.; Mulchandani D. | The Bright Revolution: Accelerating Adoption of Solar Energy in India’s Dynamic Landscape | 2016 | UK |
[118] | Powell, JW; Welsh, J.M. | The Economics of Integrating Alternative Energy: A Farm Case Study at Emerald, Queensland | 2024 | India |
[119] | Mérida-Rodríguez M.; Lobón-Martín R.; Perles-Roselló M.-J. | The production of solar photovoltaic power and its landscape dimension: The case of Andalusia (Spain) | 2019 | USA |
[120] | Anbumozhi V. | Toward inclusive and sustainable rural energy transition: defining parameters of successful community participation in India | 2015 | Spain |
[121] | Roddis P.; Roelich K.; Tran K.; Carver S.; Dallimer M.; Ziv G. | What shapes community acceptance of large-scale solar farms? A case study of the UK’s first ‘nationally significant’ solar farm | 2023 | Indonesia |
Authors’ Nationality | No. of Studies | % |
---|---|---|
Chinese | 225 | 17.89% |
Italian | 121 | 9.62% |
American | 102 | 8.11% |
German | 94 | 7.47% |
British | 89 | 7.07% |
Australian | 46 | 3.66% |
Spanish | 45 | 3.58% |
Indian | 34 | 2.70% |
Swedish | 31 | 2.46% |
Dutch | 30 | 2.38% |
Portuguese | 24 | 1.91% |
French | 23 | 1.83% |
Canadian, Swiss | 20 | 1.59% |
Japanese, Polish | 18 | 1.43% |
Brazilian | 17 | 1.35% |
Iranian | 16 | 1.27% |
Austrian, South African | 15 | 1.19% |
Czech | 14 | 1.11% |
Romanian | 13 | 1.03% |
South Korean, Greek | 11 | 0.87% |
Danish, Malaysian | 10 | 0.79% |
Indonesian, Mexican, New Zealander, Singaporean | 9 | 0.72% |
Finnish, Irish, Thai | 7 | 0.56% |
Chilean, Colombian, Egyptian, Israeli, Slovakian, Hungarian, Vietnamese | 6 | 0.48% |
Algerian, Bangladeshi, Kenyan, Norwegian, Turkish | 5 | 0.40% |
Belgian, Lebanese | 4 | 0.32% |
Saudi Arabian, Argentinian, Nigerian, Russian | 3 | 0.24% |
Ecuadorian, Ethiopian, Iraqi, Moroccan, Qatari, Ukrainian | 2 | 0.16% |
Albanian, Botswanan, Bulgarian, Cambodian, Congolese, Costa Rican, Croatian, Cuban, Emirati, Estonian, Fijian, Filipino, Ghanaian, Jamaican, Jordanian, Icelander, Latvian, North Macedonian, Moldovan, Montenegrin, Nepalese, Pakistani, Palestinian, Serbian, Taiwanese, Tanzanian, Tunisian, Ugandan, Zimbabwean | 1 | 0.08% |
Country of Study | No. of Studies | % |
---|---|---|
Italy | 11 | 12.5% |
Spain, India | 6 | 6.74% |
China, USA | 5 | 5.62% |
Indonesia | 4 | 4.49% |
Egypt, Germany, Poland | 3 | 3.37% |
Bangladesh, Morocco, Romania, Rwanda, Syria, Switzerland, UK, study on multiple nations | 2 | 2.27% |
Algeria, Australia, Austria, Bolivia, Canada, Colombia, South Korea, Philippines, Honduras, Iran, Ireland, Kenya, Lesotho, Malaysia, Mexico, Mozambique, New Zealand, Netherlands, Pakistan, Sudan, Sweden, Tanzania, Togo, Uzbekistan, Zambia, Zimbabwe | 1 | 1.13% |
MG-01 | ||
---|---|---|
Country of Study | No. of Studies | % |
Italy | 6 | 19.35% |
China | 3 | 9.68% |
Egypt, India, Spain, Syria, USA | 2 | 6.45% |
Canada, Iran, Ireland, Malaysia, Mexico, Morocco, Poland, Romania, Spain, Switzerland, Tanzania, UK, studies on multiple nations | 1 | 3.23% |
MG-02 | ||
---|---|---|
Country of Study | No. of Studies | % |
Indonesia | 4 | 17.39% |
Bangladesh, Rwanda | 2 | 8.69% |
Algeria, Bolivia, France, Honduras, India, Lesotho, Morocco, Mozambique, Pakistan, Poland, Romania, USA, Without indication, Zambia, Zimbabwe | 1 | 4.34% |
MG-03 | ||
---|---|---|
Country of Study | No. of Studies | % |
Italy | 5 | 14.29% |
Germany, India, Spain | 3 | 8.57% |
China, USA | 2 | 5.71% |
Australia, Austria, Colombia, Egypt, Kenya, Netherlands, New Zealand, Philippines, Poland, South Korea, Sudan, Sweden, Switzerland, Togo, UK, Uzbekistan, studies on multiple nations | 1 | 2.86% |
Keyword | Occurrences | % |
---|---|---|
Renewable energy | 19 | 4.47% |
Rural electrification | 8 | 1.88% |
Energy transition | 7 | 1.65% |
Photovoltaic | 6 | 1.41% |
Wind energy | 4 | 0.94% |
Microgrid, rural communities, solar | 3 | 0.71% |
Battery storage, biomass, building envelope, community, Community energy, ecosystem services, energy, energy consumption, energy landscape, energy poverty, HOMER, HOMER Software, hybrid renewable energy systems, hydropower, Monte Carlo simulation, photovoltaic generation, photovoltaics, renewables, rural, solar energy, solar home system, solar photovoltaic, water–energy–food nexus, wave energy converter, wind rose, zero-energy building | 2 | 0.47% |
Other 319 keywords | 1 | 0.23% |
Code | Descriptions |
---|---|
1 | Territorial classification and geolocation aspects |
2 | Perceptual and morphological assessment aspects |
3 | Environmental and landscape impact assessment aspect |
4 | Regulatory and legislative aspects |
5 | Energy production and efficiency aspects |
6 | Economic profitability and return on investment aspects |
7 | Sociological and cultural perception aspects |
Macro-Groups | Code | Descriptions |
---|---|---|
MG-01 | R1–R2 |
|
MG-02 | R3–R4 |
|
MG-03 | R5–R6 |
|
Macro-Groups | Code | Descriptions |
---|---|---|
MG-01 | M1–M2 |
|
MG-02 | M3–M4 |
|
MG-03 | M5–M6 |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bigiotti, S.; Santarsiero, M.L.; Costantino, C.; Marucci, A. Photovoltaic Technology and Rural Landscapes: A Systematic Literature Review on Challenges and Sustainable Integration. Energies 2025, 18, 2095. https://doi.org/10.3390/en18082095
Bigiotti S, Santarsiero ML, Costantino C, Marucci A. Photovoltaic Technology and Rural Landscapes: A Systematic Literature Review on Challenges and Sustainable Integration. Energies. 2025; 18(8):2095. https://doi.org/10.3390/en18082095
Chicago/Turabian StyleBigiotti, Stefano, Mariangela Ludovica Santarsiero, Carlo Costantino, and Alvaro Marucci. 2025. "Photovoltaic Technology and Rural Landscapes: A Systematic Literature Review on Challenges and Sustainable Integration" Energies 18, no. 8: 2095. https://doi.org/10.3390/en18082095
APA StyleBigiotti, S., Santarsiero, M. L., Costantino, C., & Marucci, A. (2025). Photovoltaic Technology and Rural Landscapes: A Systematic Literature Review on Challenges and Sustainable Integration. Energies, 18(8), 2095. https://doi.org/10.3390/en18082095