Search Results (73)

The European Union (EU) is striving to achieve its goal of being climate-neutral by 2050. Aligned with the European Green Deal and in search of means to decarbonize its urban environments, the EU advocates for smart positive energy districts (PEDs). PEDs contribute to the United Nations’ (UN) sustainable development goals (SDGs) of “Sustainable Cities and Communities”, “Affordable and Clean Energy”, and “Climate Action”. PEDs are urban neighborhoods that generate renewable energy to a higher extent than they consume, mainly through the utilization of innovative technologies and renewable energy sources. In accordance with the EU 2050 aim, the PED concept is attracting growing research interest. PEDs can transform existing energy systems and aid in achieving carbon neutrality and sustainable urban development. PED is a novel concept and its implementation is challenging. This study aims to present the emerging technologies enabling the proliferation of PEDs by identifying the main challenges and potential solutions to effective adoption and implementation of PEDs. This paper examines the importance and utilization of cyber-physical systems (CPSs), digital twins (DTs), artificial intelligence (AI), the Internet of Things (IoT), edge computing, and blockchain technologies, which are all fundamental to the creation of PEDs for enhancing energy efficiency, sustainable energy, and user engagement. These systems combine physical infrastructure with digital technologies to create intelligent and autonomous systems to optimize energy production, distribution, and consumption, thus positively contributing to achieving smart and sustainable development. Full article

Currently, urban development has entered the stage of renewal and transformation. Energy transition is an important trend for sustainable urban development, and the assessment of solar energy potential in old residential areas in cold regions is of great significance. This study selects 47 old residential communities in Jinan, a cold region of China, as case samples. Using clustering algorithms based on spatial form characteristic parameters, the study divides the samples into five categories. The study then uses the Ladybug tool to simulate the distribution and total solar energy utilization potential of buildings in the five categories and analyzes the correlation between eight spatial form parameters and building solar energy potential. A linear regression model is established, and strategies for the application of BIPV in community buildings are proposed. The study finds that factors such as plot ratio, building density, open space ratio, volume-to-surface ratio, and form coefficient have a significant impact on the solar energy potential of residential communities; the p-values are −0.785, −0.783, 0.783, −0.761, and 0.724, respectively. Among these, building density (BD) is the most crucial factor affecting the solar energy potential of building facades. Increasing by one unit can reduce the solar energy utilization potential by 28.00 kWh/m²/y. At the same time, installing photovoltaic panels on old residential buildings in cold regions can reduce building carbon emissions by approximately 48%. The research findings not only provide methodological references for photovoltaic technology application at varying neighborhood scales in urban settings but also offer specific guidance for low-carbon retrofitting of aging urban communities, thereby facilitating progress in urban carbon emission reduction. Full article

Background: Health-related quality of life (HRQoL) can be impacted by various environmental factors: lifestyle habits, food insecurity, social–economic status, and dietary patterns. The Mediterranean diet (MedDiet) has been associated with a healthier lifestyle and better health outcomes. The aim of this study was to determine whether greater adherence to the MedDiet was associated with better HRQoL in communities with low social and economic statuses living in two social neighborhoods, “Bairro da Rosa” and “Ingote”, in Portugal. Methods: A cross-sectional analysis was performed on 102 citizens currently receiving government social support and attending the “Health Kiosk”, a community center created within the Europe Enabling Smart Healthy Age-Friendly Environments (EU_SHAFE) project enhancing educative sessions and screening by health professionals. The participants answered a 36-item questionnaire about their HRQoL (SF-36) and a 14-item questionnaire about their adherence to the Mediterranean diet (MEDAS). Spearman correlation analysis between variables and multiple linear regression models were used to estimate the effect of the baseline characteristics and MedDiet adherence on HRQoL scores (SF-36). Results: No statistically significant correlation was found between MedDiet adherence and total HRQoL scores across the eight health concepts. However, age was shown to negatively influence HRQoL, whereas daily physical activity had a positive impact on health. SF-36 physical health concepts exhibited a linear trend with respect to MedDiet adherence, while emotional health concepts showed inconsistent patterns across adherence groups. Education and waist circumference influence HRQoL, with higher levels of education correlating with better quality of life and greater waist circumference being negatively associated with aspects such as energy and vitality. These findings suggest that factors beyond dietary patterns, such as physical activity, education, and body composition, play pivotal roles in shaping HRQoL in disadvantaged communities, emphasizing the need for multifaceted public health interventions. Full article

In the context of urbanization, the renewal of old communities constitutes a crucial aspect for enhancing the living environment. Currently, the social benefits and utilization efficiency achieved through the renewal of such neighborhoods fall short of meeting the demands of society, urban management, and residents. Existing research on old community renewal predominantly centers on environmental beautification and infrastructure augmentation or relies on diverse data for interpreting and analyzing the current state of these spaces while overlooking in-depth investigations into the design methodologies for public spaces within old communities. This paper presents a comprehensive strategy, termed “Demands–Design–Verify (DDV)”. This paper selected an old community in Changsha City (China) as a case study and used the following: (1) a questionnaire investigation and observation (Demands); (2) parameterized simulation data and UTCI energy data put forward for the optimization strategy of aging community public space (Design); (3) space syntax, physical environmental simulation data, and a one-way analysis of variance to validate the effectiveness of the design (Verify). The research results indicate that the public space renewal outcomes of old-aged communities under the guidance of this method have positive effects in aspects such as solar radiation, thermal comfort, spatial accessibility, and pedestrian flow. The method exhibits universality and ease of implementation for public space renewal in old communities, thus providing scientific methodological guidance for urban residential renewal. Full article

Chinese cities have made significant progress in fostering low-carbon societies and piloting a variety of low-carbon measures. Nonetheless, the effective implementation of these initiatives and the long-term upkeep of related amenities rely heavily on resident support. The existing studies provide limited insight into how local residents perceive and endorse different types of low-carbon measures, which often involve varying trade-offs. Addressing this gap, the present study surveyed the willingness to pay (WTP) of residents in Hangzhou—an early adopter of low-carbon practices in China—across five representative low-carbon measures. Survey data were collected from 13 distinct residential neighborhoods. The results indicate that Hangzhou residents are more inclined to financially support measures offering direct personal benefits compared to those benefiting the collective good, with this tendency being notably pronounced among highly educated individuals. Further findings include the following: (1) respondents aware of ongoing low-carbon measures were more willing to pay for them; (2) male respondents, recent migrants (within the past five years), high-income groups, and residents in aging communities tended to contribute higher amounts; (3) providing detailed information on carbon mitigation effects markedly increased both the likelihood and the magnitude of WTP; (4) the promotion of new energy vehicles (NEVs) remains contentious, particularly between NEV owners and gasoline vehicle owners. These findings highlight the need for targeted policies and educational programs to strengthen public awareness and support for low-carbon interventions, thereby advancing sustainability in fast-growing urban centers like Hangzhou. Overall, these findings provide key insights for the formulation of low-carbon city policies and sustainable urban planning, emphasizing the global importance of local socioeconomic dynamics and offering a valuable reference for cities worldwide seeking to advance sustainability transitions and meet international climate targets. Full article

This paper explores the development of positive energy communities using Eordaia, Greece, as a case study. The approach combines building and district-level energy analysis to achieve nearly zero energy performance through retrofitting, district-level storage systems, and renewable energy technologies. A parametric analysis utilizing RETSCREEN Expert and EnergyPlan software determines the optimal mix of technologies based on technical and financial parameters, with Eordaia, a region in energy transition and part of the RESPONSE Horizon project, illustrating the practical benefits. It includes a neighborhood of 105 mixed-use properties and two municipal buildings where a range of renewable energy sources and energy efficiency measures are applied. Insulation, photovoltaic systems, LED lighting, predictive thermostats, and windows coated with nanotechnology are some of the key interventions considered. The findings show considerable reductions in CO₂ emissions and energy use, with payback periods ranging from 8.7 to 9.6 years. This study underscores the value of district-level strategies over individual building retrofits, highlighting cost savings and improved energy performance. These findings offer valuable insights for urban planners and policymakers aiming to transform urban areas into sustainable, positive energy districts, supporting the EU’s 2050 net-zero emissions goals. Full article

In Africa, the urban population and informal settlements are increasing, resulting in additional public health and environmental risks and challenges related to the need for basic and sustainable infrastructures and services. In Maputo, the capital of Mozambique, at least 80% of the city is composed of informal settlements, and although some areas are regularized and have approved urbanization plans, the municipality has major deficiencies in meeting current demands in terms of basic infrastructures, such as water supply, sewerage, solid wastes, energy, roads, and communications. Most of the peri-urban areas are occupied by small but overcrowded houses, mostly self-built, served by unpaved roads, and with access limitations. The water pipe network is almost non-existent, and the same occurs with stormwater drainage, sanitation, waste collection, and public illumination services. Despite the improvements made in the last few years, some households still do not have safe sanitation, and in some neighborhoods, open defecation still prevails. In this study, the authors try to understand and explore the interdependences among the infrastructures of the different sectors and how they may jointly contribute to adequate services and a better life for the urban poor. And how to identify the combination of infrastructures to be implemented in the short term in the face of limited budgets for investments. For that purpose, a simplified conceptual approach is proposed and applied to an informal neighborhood in Maputo. Full article

This paper focuses on the fuzzy adaptive predefined-time control for fractional-order nonlinear systems with time-varying deferred constraints. First, a modified dynamic surface control technique is introduced to address the problem of computational complexity exposed in the backstepping framework, and the interval type-2 fuzzy logic systems are applied to model the unknown nonlinearities of the systems. Next, a shifting function and the barrier Lyapunov function with variational barrier bounds are formulated to deal with the constraints issue. Particularly, the constraint conditions can be satisfied within a predetermined time, even if they are transgressed initially. Furthermore, a switching threshold event-triggered controller is devised to balance the control energy and communication resources. With the help of the predefined-time stability criterion, it is proven that the presented predefined-time event-triggered controller can ensure that all the signals involved in the closed-loop system are bounded and the tracking error fluctuates to a small neighborhood of the origin in a predefined-time interval. Finally, two simulation examples are provided to confirm the effectiveness of the put-forward control algorithm. Full article

The significant expansion of renewable energies has led to an increased importance of storage systems. Decentralized storage solutions, including Home Battery Energy Storage Systems (HBESSs) and District Battery Energy Storage Systems (DBESSs), play a crucial role in this context. This study compares individual HBESSs with a community-used DBESS regarding the grade of autarky and self-consumption, specifically focusing on a planned residential area consisting of 36 single-family houses. A simulation tool was developed to conduct load flow simulations based on household electricity consumption, wallbox profiles for electric vehicle charging, and photovoltaic generation data across various battery capacities and system boundaries. The results demonstrate that the DBESS, compared to individual HBESSs with equivalent cumulative battery capacities, can achieve a maximum increase in the grade of autarky of up to $11.6$%, alongside an $8.0$% increase in the grade of self-consumption for the given use case. In terms of capacity, the DBESS allows for a saving of up to 68% compared to HBESS to achieve similar results for the studied neighborhood. Full article

Building renovation is a key initiative to promote energy efficiency, the integration of renewable energy sources (RESs), and a reduction in CO₂ emissions. Supporting these goals, emerging research is dedicated to energy communities and positive energy districts. In this work, an urban neighborhood of six buildings in Trento (Italy) is considered. Firstly, the six buildings are modeled with the Urban Modeling Interface tool to evaluate the energy performances in 2024 and 2050, also accounting for the different climatic conditions for these two time periods. Energy demands for space heating, domestic hot water, space cooling, electricity, and transport are computed. Then, EnergyPLAN coupled with a multi-objective evolutionary algorithm is used to investigate 12 different energy decarbonization scenarios in 2024 and 2050 based on different boundaries for RESs, energy storage, hydrogen, energy system integration, and energy community incentives. Two conflicting objectives are considered: cost and CO₂ emission reductions. The results show, on the one hand, the key role of sector coupling technologies such as heat pumps and electric vehicles in exploiting local renewables and, on the other hand, the higher costs in introducing both electricity storage to approach complete decarbonization and hydrogen as an alternative strategy in the electricity, thermal, and transport sectors. As an example of the quantitative valuable finding of this work, in scenario S1 “all sectors and EC incentive” for the year 2024, a large reduction of 55% of CO₂ emissions with a modest increase of 11% of the total annual cost is identified along the Pareto front. Full article

The increases in both the elderly population and urbanization present new problems for planning new cities and managing old cities. To solve this challenge, innovative ideas/proposals that encourage walkability and reduce fossil energy motor transport are needed, in line with the actions advocated by Sustainable Development Goal #11 (SDG11), Sustainable Cities and Communities. Opening passages that cross blocks, creating connections between the streets, is the proposal discussed in this paper, as seen in cities like Paris, Prague, Milan, and Juíz de Fora, which have passages in their urban fabric. These can be implemented in a building’s rehabilitation or when a new building replaces it. New architectural project designs should have several characteristics that promote walkability in the city, including passages and galleries. Although previous research has obtained promising results, extending the research to different urban fabrics and block sizes is needed. Using space syntax and data analysis, we simulated and quantitatively assessed the walkability of three neighborhoods in Lisbon, Portugal. The comparison of all simulations and the discussion of the results show that the passages improve walkability. It is also noticeable that there is higher walkability in orthogonal urban fabrics than in non-orthogonal fabrics. The results for block size are inconclusive. Full article

Renewable energy communities (RECs) around photovoltaic systems on public buildings are optimal solutions to counter energy poverty, ensuring all stakeholders access to cheap, reliable, sustainable, and modern energy systems. As the neighborhood is the minimum suitable unit for the implementation of highly sustainable settlements, this article discusses the potential and criticality of RECs at this scale in southern Italy. Starting with the concept of RECs, this study presents a methodology to size sustainable urban communities around school buildings. It integrates practical energy indicators with those defining performance in vegetation and water management. The impact of these factors is analyzed to identify the ideal community size in terms of energy efficiency, economic value, and social cohesion. An interactive scorecard ranks high school sites suitable for transformation into community hubs, taking into consideration the scale of substation distribution. The findings provide empirically validated operational guidelines and best practices to support the transition to smart, efficient, and socially inclusive communities. At the urban scale, the analysis evaluates different urban morphologies, microclimates, characteristics and density of buildings, and population around each assumed community hub. The study provides valuable guidance to local designers, planners, and administrators for the implementation of sustainable technologies by preparing a map of potential RECs. Full article

This research explores the synchronization issue of leader–follower systems with multiple nonlinear agents, which operate under input saturation constraints. Each follower operates under a spectrum of unknown dynamic nonlinear systems with non-strict feedback. Additionally, due to the fact that the agents may be geographically dispersed or have different communication capabilities, only a subset of followers has direct communication with the leader. Compared to linear systems, nonlinear systems can provide a more detailed description of real-world physical models. However, input saturation is present in most real systems, due to various factors such as limited system energy and the physical constraints of the actuators. An auxiliary system of Nth order is introduced to counteract the impact of input saturation, which is then employed to create a collaborative controller. Due to the powerful capability of fuzzy logic systems in simulating complex nonlinear relationships, they are deployed to approximate the enigmatic nonlinear functions intrinsic to the systems. A distributed adaptive fuzzy state feedback controller is designed by approximating the derivative of the virtual controller by filters. The proposed controller ensures the synchronization of all follower outputs with the leader output in the communication graph. It is shown that all signals in the closed-loop system are semi-globally uniformly ultimately bounded, and the tracking errors converge to a small neighborhood around the origin. Finally, a numerical example is given to demonstrate the effectiveness of the proposed approach. Full article

Opening a business in an existing building incurs lower energy and material consumption than constructing a new building. However, implementing this strategy in certain domains, such as retail and hospitality, requires operational changes. Despite an increasing focus on sustainability in these sectors, the primary objective remains creating appealing spaces for consumers, with companies frequently stipulating numerous requirements for their stores’ new buildings. To promote sustainability, scholars have suggested that organizations, designers, and constructors find new uses for existing spaces. This study highlights how adapting buildings not built for commercial use can both promote sustainability and benefit new users. It explores a trend in European cities where existing buildings, often outside the usual commercial districts, are repurposed as cafés. Many of these projects provide attractive user destinations without requiring extensive renovations. Specifically, we investigate coffee shops in Copenhagen and the atmospheric characteristics that enhance their appeal. Based on observations and interviews, new and old atmospheric components and the atmospheres they jointly create are identified and divided into themes: capacious and accommodating environments, uniqueness, synergy between old and new, and appealing neighborhoods. Finally, user responses to these themes—such as lingering, revisiting, sharing narratives, influencing neighborhood development, and building communities—are described. Full article

Identifying critical links is of great importance for ensuring the safety of the cyber-physical power system. Traditional electrical betweenness only considers power flow distribution on the link itself, while ignoring the local influence of neighborhood links and the coupled reaction of information flow on energy flow. An identification method based on electrical betweenness centrality and neighborhood similarity is proposed to consider the internal power flow dynamic influence existing in multi-neighborhood nodes and the topological structure interdependence between power nodes and communication nodes. Firstly, for the power network, the electrical topological overlap is proposed to quantify the vulnerability of the links. This approach comprehensively considers the local contribution of neighborhood nodes, power transmission characteristics, generator capacity, and load. Secondly, in communication networks, effective distance closeness centrality is defined to evaluate the importance of communication links, simultaneously taking into account factors such as the information equipment function and spatial relationships. Next, under the influence of coupled factors, a comprehensive model is constructed based on the dependency relationships between information flow and energy flow to more accurately assess the critical links in the power network. Finally, the simulation results show the effectiveness of the proposed method under dynamic and static attacks. Full article