Search Results (23)

This article examines the asymmetric effects of renewable energy on sustainable economic growth across six South Asian countries from 2000 to 2023, employing panel data and threshold regression analysis. The findings indicate that CO₂ emissions must remain below a threshold of 2.38% to support the integration of renewable energy with sustainable growth. Furthermore, access to clean energy and technologies should exceed 3.38%, and urbanization must be managed at a complementary threshold of 3.21%. These results are consistent with various studies investigating the renewable energy transition’s economic impacts globally. It is recommended that South Asia focus on reducing CO₂ emissions below the identified threshold, enhancing clean energy access and innovation above the designated thresholds, and supporting urban growth as part of its policy initiatives. Such actions are essential for fostering economic growth and ensuring the sustainability of the region. The study recommends that the South Asian region take decisive steps to reduce CO₂ emissions and enhance access to clean energy while accommodating urban population growth. It highlights the importance of transitioning to renewable energy to stimulate economic growth and maintain trade and foreign direct investment (FDI) as a viable part of the gross domestic product. The study suggests that investments in Gross Capital Formation (GCF), trade, and FDI will yield long-term benefits, although short-term policy adjustments may disrupt resource allocation and hinder economic and renewable energy development. Future research should explore the complex interactions between CO₂ emissions, clean energy access, FDI, and trade, particularly in light of recent trade policies, including U.S. tariffs. Investigating these relationships through advanced methodologies, such as machine learning, could provide valuable insights into drivers of renewable energy transition and economic outcomes. Full article

The influence of stress on gas sorption behavior and sorption-induced swelling in coal is critical for the success of CO₂-enhanced coalbed methane recovery (CO₂-ECBM) and geological carbon sequestration—a key strategy for mitigating climate change and promoting clean energy transitions. However, this influence remains insufficiently understood, largely due to experimental limitations (e.g., overreliance on powdered coal samples) and conflicting theoretical frameworks in existing studies. To address this gap, this study systematically investigates the effects of two distinct stress constraints—constant confining pressure and constant volume—on CO₂ adsorption capacity, adsorption kinetics, and associated swelling deformation of intact anthracite coal cores. An integrated experimental apparatus was custom-designed for this study, combining volumetric sorption measurement with high-resolution strain monitoring via the confining fluid displacement (CFD) method and the confining pressure response (CPR) method. This setup enables the quantification of CO₂–coal interactions under precisely controlled stress environments. Key findings reveal that stress conditions exert a regulatory role in shaping CO₂–coal behavior: constant confining pressure conditions enhance CO₂ adsorption capacity and sustain adsorption kinetics by accommodating matrix swelling, thereby preserving pore accessibility for continuous gas uptake. In contrast, constant volume constraints lead to rapid internal stress buildup, which inhibits further gas adsorption and accelerates the attainment of kinetic saturation. Sorption-induced swelling exhibits clear dependence on both pressure and constraint conditions. Elevated CO₂ pressure leads to increased strain, while constant confining pressure facilitates more gradual, sustained expansion. This is particularly evident at higher pressures, where adsorption-induced swelling prevails over mechanical constraints. These results help resolve key discrepancies in the existing literature by clarifying the dual role of stress in modulating both pore accessibility (for gas transport) and mechanical response (for matrix deformation). These insights provide essential guidance for optimizing CO₂ injection strategies and improving the long-term performance and sustainability of CO₂-ECBM and geological carbon storage projects, ultimately supporting global efforts in carbon emission reduction and sustainable energy resource utilization. Full article

The presented paper focuses on the current state and evaluation of the integration of environmental innovations from the perspective of the tourism enterprise sector in Slovakia. The quantitative approach herein was conducted by means of a questionnaire survey for the assessment of perceptions about environmental innovations in 144 tourism accommodation companies regarding their importance, attractiveness, usefulness, and financial consequences. These innovations are essential for enhancing business efficiency and competitiveness despite their high costs and intensive maintenance. Important aspects include energy-efficient technologies, clean production technologies, and resource efficiency, which have reduced costs, enhanced corporate image, and improved environmental management. In any case, most obstacles have been linked to economic factors or the need for specialized training for these technologies. This analytical study, using descriptive statistics, semantic differentials, and the Friedman test, found no significant differences among businesses and a strong consensus on the adoption of these innovations to improve operational effectiveness. This research deepens understanding of how environmental innovations transform tourism businesses and contribute to business efficiency. Recommendations for policy and business practices that may successfully support implementation and ensure long-term benefits are presented. Full article

In the context of modern power systems, the reliance on a single-time-of-use electricity pricing model presents challenges in managing electric vehicle (EV) charging in a way that can effectively accommodate the variable supply and demand patterns, particularly in the presence of wind power generation. This often results in undesirable peak–valley differences in microgrid load profiles. To address this challenge, this paper introduces an innovative approach that combines time-of-use electricity pricing with the flexible energy storage capabilities of electric vehicles. By dynamically adjusting the time-of-use electricity prices and implementing a tiered carbon pricing system, this paper presents a comprehensive strategy for formulating optimized charging and discharging plans that leverage the inherent flexibility of electric vehicles. This approach aims to mitigate the fluctuations in the microgrid load and enhance the overall grid stability. The proposed strategy was simulated and compared with the no-incentive and single-incentive strategies. The results indicate that the load peak-to-trough difference was reduced by 30.1% and 18.6%, respectively, verifying its effectiveness and superiority. Additionally, the increase in user income and the reduction in carbon emissions verify the need for the development of EVs in tandem with clean energy for environmental benefits. Full article

Due to the extensive use of fossil fuels, energy conservation and sustainable transportation have become hot topics. Electric vehicles (EVs), renowned for their clean and eco-friendly attributes, have garnered considerable global attention and are progressively being embraced worldwide. However, disorganized EV charging not only reduces charging station efficiency but also threatens power grid stability. In this low-carbon era, photovoltaic storage charging stations offer a solution that accommodates future EV growth. However, due to the significant instability in both the charging load and photovoltaic power generation within charging stations, it is critical to maximize local photovoltaic power consumption and minimize the impact of disorganized EV charging on the power grid. This paper formulates an intelligent scheduling strategy for electric heavy trucks within charging stations based on typical photovoltaic output data. The study focuses on a photovoltaic storage charging station in an industrial zone in Xinjiang. While considering the electricity procurement cost of the charging station, the aim is to minimize fluctuations in the electricity procurement load. A simulation analysis was conducted using MATLAB 2021a software, and the results indicated that, compared to an uncoordinated charging strategy for electric heavy trucks, the proposed strategy reduced electricity procurement costs by CNY 1348.25, decreased load fluctuations by 169.45, and improved the utilization efficiency of photovoltaic energy by 30%. A statistical analysis was also used to support the reduction in electricity procurement costs and load variations. Finally, a sensitivity analysis of the weight factors in the objective function was performed, proving that the proposed strategy effectively reduces electricity procurement costs and improves the utilization efficiency of photovoltaic energy. Full article

In modern power systems, conventional energy production units are being replaced by clean and environmentally friendly renewable energy resources (RESs). Integrating RESs into power systems presents numerous challenges, notably the need for enhanced grid stability and reliability. RES-dominated power systems fail to meet sufficient demand due to insufficient inertia responses. To address this issue, various virtual inertia emulation techniques are proposed to bolster power system stability amidst the increased integration of renewable energy sources into the grid. This review article explores state-of-the-art virtual inertia support strategies tailored to accommodate the increased penetration of RESs. Beginning with an overview of this study, it explores the existing virtual inertia techniques and investigates the various methodologies, including control algorithms, parameters, configurations, key contributions, sources, controllers, and simulation platforms. The promising virtual inertia control strategies are categorised based on the techniques used in their control algorithms and their applications. Furthermore, this review explains evolving research trends and identifies promising avenues for future investigations. Emphasis is placed on addressing key challenges such as dynamic response characteristics, scalability, and interoperability with conventional grid assets. The initial database search reveals 1529 publications. Finally, 106 articles were selected for this study, adding 6 articles manually for the review analysis. By synthesising current knowledge and outlining prospective research directions, this review aims to facilitate the current state of research paths concerning virtual inertia control techniques, along with the categorisation and analysis of these approaches, and showcases a comprehensive understanding of the research domain, which is essential for the sustainable integration of renewable energy into modern power systems via power electronic interface. Full article

Continuous worldwide demands for more clean energy urge researchers and engineers to seek various energy applications, including electrocatalytic processes. Traditional energy-active materials, when combined with conducting materials and non-active polymeric materials, inadvertently leading to reduced interaction between their active and conducting components. This results in a drop in active catalytic sites, sluggish kinetics, and compromised mass and electronic transport properties. Furthermore, interaction between these materials could increase degradation products, impeding the efficiency of the catalytic process. Gels appears to be promising candidates to solve these challenges due to their larger specific surface area, three-dimensional hierarchical accommodative porous frameworks for active particles, self-catalytic properties, tunable electronic and electrochemical properties, as well as their inherent stability and cost-effectiveness. This review delves into the strategic design of catalytic gel materials, focusing on their potential in advanced energy conversion and storage technologies. Specific attention is given to catalytic gel material design strategies, exploring fundamental catalytic approaches for energy conversion processes such as the CO₂ reduction reaction (CO₂RR), oxygen reduction reaction (ORR), oxygen evolution reaction (OER), and more. This comprehensive review not only addresses current developments but also outlines future research strategies and challenges in the field. Moreover, it provides guidance on overcoming these challenges, ensuring a holistic understanding of catalytic gel materials and their role in advancing energy conversion and storage technologies. Full article

Rising fossil energy prices and the significantly decreasing prices of energy technology have resulted in electricity consumers having the option to install solar PV rooftops to rely on the self-consumption of clean energy. However, the increase in this amount is affecting the revenue of electricity as a utility, which must adapt and develop its business model to accommodate the situation. If the utility cannot be adapted in time, it may lead to a loss of income from services and the sale of electricity from fossil energy. The utility in Thailand’s electricity market that acts as the distribution system operator (DSO) is known as the Provincial Electricity Authority (PEA), and the Metropolitan Electricity Authority (MEA) is responsible for managing distribution networks and customers. There are four types of solar rooftop-as-a-service (RaaS) business perspectives they could consider as opportunities through which to minimize revenue impact. The business services were designed for the DSO customer as follows: Consulting, Design, and Installation (CDI); Operation and Maintenance (O&M); Energy Service Company (ESCO); and Power Purchase Agreement (PPA). The model comprises four customer segments: residential buildings and small-, medium-, and large-scale commercial buildings. This paper applies SWOT, Five Forces, 4P marketing, and economic impact analyses to identify the possibilities when using the DSO business model. The SWOT analysis demonstrates that ESCO and PPA are strengths in the DSO’s performance characteristics and existing customer data. In the electricity industry, both models offer enormous customer bargaining power in terms of a Five Forces analysis. The main reason is that there is currently high competition in the installation service. In the 4P analysis result, the price per unit is found to be significantly lower than in residential scenarios. Therefore, there is a format for presenting promotions with an advantage over competitors. Deploying an after-sales service that brings convenience to all customer segments is needed. The economic analysis conducted using Cournot competition game theory shows a significant differential in the Medium (M) and Large (L) customer sectors’ competition due to lower technology prices. In conclusion, with the current regulatory framework and criteria, the ESCO and PPA show the best practical model from a utility business perspective. The recommendation for DSO is to create a strategic ecosystem and to link it with private companies as their partnership business. Full article

Despite a significant increase in global clean energy investments, as part of the decarbonization process, it remains insufficient to meet the demand for energy services in a sustainable manner. This study investigates the performance of sustainable energy equity investments, with focus on environmental markets, using monthly equity index data from 31 August 2009 to 30 December 2022. The main contributions of our study are (i) assessment of the performance of trading strategies based on the trend, momentum, and volatility of Environmental Opportunities (EO) and Environmental Technologies (ET) equity indices; and (ii) comparison of the performance of sustainable equity index investments to fossil fuel-based and major global equity indices. Market performance evaluation based on technical analysis tools such as the Relative Strength Index (RSI), Moving Averages, and Average True Range (ATR) is captured through the Sharpe and the Sharpe per trade. The analysis is divided according to regional, sector, and global EO indices, fossil fuel-based indices, and the key global stock market indices. Our findings reveal that a momentum-based strategy performed best for the MSCI Global Alternative Energy index with the highest excess return per unit of risk, followed by the fossil fuel-based indices. A trend-based strategy worked best for the MSCI Global Alternative Energy and EO 100 indices. The use of volatility-based information yielded the highest Sharpe ratio for EO Europe, followed by the Oil and Gas Exploration and Production industry, and MSCI Global Alternative Energy. We further find that a trader relying on a system which simultaneously provides momentum, trend, or volatility information would yield positive returns only for the MSCI Global Alternative Energy, the S&P Oil and Exploration and Production industry, NYSE Arca Oil, and FTSE 100 indices. Overall, despite the superior performance of the MSCI Global Alternative Energy index when using momentum and trend strategies, most region and sector EOs performed poorly compared to fossil fuel-based indices. The results suggest that the existing crude oil prices continue to allow fossil fuel-based equity investments to outperform most environmentally sustainable equity investments. These findings support that sustainable investments, on average, have yet to demonstrate consistent superior performance over non-renewable energy investments which demonstrates the need for continued, rigorous, and accommodating regulatory policy actions from government bodies in order to reorient significant capital flows towards sustainable equity investments. Full article

Hydrogen, as an important clean energy source, is difficult to store and transport, which hinders its applications in real practice. Developing robust yet affordable storage media remains to be a challenge for scientists. In this study, Ab Initio Molecular Dynamics (AIMD) simulations were employed to evaluate the performance of aluminum (Al) decorated carbon nitride (g-C₃N₄, heptazine structure) in hydrogen storage; and a benchmarking study with Mg-doped g-C₃N₄ was also performed to provide theoretical insights for future study. We found that each 2 × 2 supercell can accommodate four Al atoms, and that partial charge from single Al sites can be transferred to adjacent nitrogen atoms of g-C₃N₄. These isolated Al sites tend to be electronically positive charged, serving as active sites for H₂ adsorption, predominately by triggering enhanced electrostatic interactions. The H₂ molecules are adsorbed by both Al and N atoms, and are easily polarized, giving rise to electrostatic interactions between the gas molecules and the surface. Effective adsorption sites were determined by electronic potential distribution maps of the optimized configurations. Each 2 × 2 supercell can adsorb up to 36 H₂ molecules, and the corresponding adsorption energies are within the range of −0.10 to −0.26 eV. The H₂ storage capacity of the Al-decorated g-C₃N₄ is 7.86 wt%, which surpasses the goal of 5.5 wt%, set by the US department of energy. This proposed Al-decorated g-C₃N₄ material is therefore predicted to be efficient for hydrogen storage. This work may offer some fundamental understandings from the aspect of electronic sharing paradigm of the origin of the excellent hydrogen storage performance by metal decorated 2D materials, acting as an demonstration for guiding single metal atom site-based materials’ designing and synthesis. Full article

The findings of several research studies conducted with university students that aimed to investigate the quantitative relationship between psychological distress, sleep difficulties, and homesickness have shown a significant interrelation among those factors. All the previous studies demonstrated benefits of napping, meditation, relaxation, and sharing feelings and experiences on students’ mental well-being, which could enrich the brain’s educational capacity, a matter that is relevant to a student’s learning level. This study aimed to encourage on-campus students to alleviate their feelings and relax. This process will help students to recharge their energy, in addition to increasing their alertness and focusing abilities, especially since the COVID-19 pandemic has intensified global stresses. In this study, the authors used a systematic review and literature analysis to understand the relationship between mental stresses and student performance. We then used an evidence-based research opinion poll and presented our work at different academic exhibitions for feedback as an approach for developing an experimental conceptual multi-activity unit that can be used across university campuses. The “Reviving Pod” was specifically designed for different activities: napping, meditation, and virtual communication. The designed approach utilizes state-of-the-art technologies (embedded sensors, smart ergonomic seats, contactless technologies, self-cleaning materials, IoT, virtual meetings platforms, mobile applications, etc.). A Reviving Pod can be located variably within a university campus. According to the poll results, we proposed a recreational zone design to accommodate the pods, as well as a diversity of activities that can encourage students to relieve their stresses and reinforce their health, consequently increasing their academic performance and supporting their well-being using the WELL Building Standard to promote better mental health, which is vital for students’ success. Full article

Deployment of photovoltaic (PV) systems has recently been encouraged for large-scale and small-scale businesses in order to meet the global green energy targets. However, one of the most significant hurdles that limits the spread of PV applications is the dust accumulated on the PV panels’ surfaces, especially in desert regions. Numerous studies sought the use of cameras, sensors, power datasets, and other detection elements to detect the dust on PV panels; however, these methods pose more maintenance, accuracy, and economic challenges. Therefore, this paper proposes an intelligent system to detect the dust level on the PV panels to optimally operate the attached dust cleaning units (DCUs). Unlike previous strategies, this study utilizes the expanded knowledge and collected data for solar irradiation and PV-generated power, along with the forecasted ambient temperature. An expert artificial intelligence (AI) computational system, adopted with the MATLAB platform, is utilized for a high level of data prediction and processing. The AI was used in this study in order to estimate the unprovided information, emulate the provided measurements, and accommodate more input/output data. The feasibility of the proposed system is investigated using actual field data during all possible weather conditions. Full article

Increasing systematic carbon sinks and clean energy generation proportion are the main ways to reduce the carbon emission of power system. In order to promote wind power accommodation and reduce system carbon emissions, a cooperative operation model of wind turbine and carbon capture power plant (CCPP) is constructed. Then, the model is equivalently transformed into two sub-problems. One is the operation optimization sub-problem of cooperative alliance with the goal of maximizing the alliance benefit. The other is the benefit distribution sub-problem with the goal of fair distributing cooperative benefit. To protect participants’ privacy, the alternating direction method of multipliers (ADMM) is used to realize the distributed solution of the two sub-problems. Finally, the effectiveness of the proposed model is verified by an example, and the sensitivity analysis of the alliance benefit and system carbon emission is carried out with carbon price and carbon capture cost as the sensitivity factors. The example results show that: (1) By providing up and down regulation services to wind turbines, CCPP can obtain ancillary service income and help to reduce the declaration deviation of wind turbines, which can realize multi-win-win situation. (2) Carbon price affects both thermal power units and carbon capture equipment. So, compared with carbon costs, the carbon emissions and the alliance benefit are both more sensitive to carbon price. The model of the paper is constructed under the deviation punishment mechanism, and subsequent research can be expanded in combination with a more detailed imbalance settlement mechanism. Full article

Pumped storage power plants face many challenges in competing in the electricity market, and high pumping costs lead to high prices for their power generation, which is one of the important factors that has limited their development. To address this problem, this paper studies the pumped storage two-part tariff mechanism considering wind power accommodation and uses the peak-valley price difference of wind power to realize the rationality and economy of a pumped storage charging and discharging strategy. It can improve the competitiveness of pumped storage power plants participating in electricity market transactions. Then, by considering the economic advantages of “pumped storage + clean energy”, a pumped storage and wind power joint optimal dispatching model was established based on the original pumped storage pricing method. This model takes the total system cost reduction after the introduction of pumped storage as the objective function to derive a reasonable pumped storage strategy. After which, the two-part tariff for pumped storage power plants was formulated based on the principle of reasonable revenue. Finally, a sensitivity analysis of various relevant parameters of the power plant was conducted through case studies to verify the effectiveness of the two-part tariff mechanism of pumped storage. It was found that the electricity tariff is lowest when the ratio of plant capacity to upper reservoir capacity is 1:6.37 (MW/million m³). Full article

The United Arab Emirates (UAE) has tailored its own sustainability initiatives and a local agenda for realizing Sustainable Development Goals (SDGs) by 2030. This Agenda includes providing clean sustainable energy and achieving sustainable communities. In accordance with these efforts, this ‘pilot’ study aims at, first, exploring an appropriate, simplified method of integrating photovoltaic (PV) panels in existing single-family public housing in the UAE without compromising the architectural style and identity of the original designs. Second, it aims at assessing the sufficiency of the generated electricity through this proposed Building Integrated Photovoltaic (BIPV) system. Finally, it aims at conducting a pilot survey to explore the Emirati residents’ acceptance of the proposed BIPV system. A frequently developed design model of single-family public housing projects in the UAE was selected to undertake the research investigations where the most suitable architectural elements of its envelope were defined for accommodating the integrated PV panels. Afterwards, a complete set of BIPV panel designs tailored to fit with the defined architectural elements of the selected house was prepared. The dimensions and areas of the BIPV panels were defined and digitally constructed through Building Information Modeling (BIM) software. After considering the efficiency and adequacy of the selected type of BIPV panels and figuring out the expected system losses, the PVWatts Calculator was used for simulating the expected electricity output in kilowatt hours (kWh) for the four façades of the selected model house in their four possible different orientations, as well as the overall average electricity output from the whole BIPV system. The results of the yearly electricity output were very close regardless of the orientation of the four façades of the retrofitted model house, with the total average annual output exceeding the estimated yearly average electricity consumption of this model house. This obviously indicates the potential benefit of the proposed BIPV system, especially with the continuous decrease in the capital cost of the PV panels and their increasing efficiency. With the Emirati residents’ clear acceptance of the proposed BIPV system, it might be also considered as an efficient alternative to the currently limited application of rooftop PV solutions in the UAE. Full article