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Energy utilities play an important role in transitioning to a sustainable energy industry. Data on 8967 transactions by 19 European energy utilities from 1990 to 2019 illustrate when and how utilities invest in sustainable resources and divest traditional resources such as fossil-fuel plants. Utilities transitioning to sustainable energy have greater financial resources and experience with sustainability, are publicly owned, and access sustainable resources of international and inter-industry partners. Utilities adopt a diversified strategy of balancing sustainable and traditional resources. [ABSTRACT FROM AUTHOR]

This study reviews available van der Waals- and Platteeuw-based hydrate models considering multiple occupancy of cavities. Small guest molecules, such as hydrogen and nitrogen, are known to occupy lattice cavities multiple times. This phenomenon has a significant impact on hydrate stability and thermodynamic properties of the hydrate phase. The objective of this work is to provide a comprehensive overview and required correlations for the implementation of a computationally sufficient cluster model that considers up to five guest molecules per cavity. Two methodologies for cluster size estimation are evaluated by existing nitrogen hydrate models showing accurate results for phase equilibria calculations. Furthermore, a preliminary hydrogen hydrate model is introduced and compared with the results of other theoretical studies, indicating that double occupancy of small sII cavities is improbable and four-molecule clusters are predominant in large sII cavities for pressures above 300 MPa. This work lays the foundation for further exploration and optimization of hydrate-based technologies for small guest molecules, e.g., storage and transportation, emphasizing their role in the future landscape of sustainable energy solutions. [ABSTRACT FROM AUTHOR]

Conjugated polymer coatings enhance bacteria with eco-friendly energy use. A new hybrid system boosts hydrogen production by Rhodopseudomonas palustris@polypyrrole (R. palustris@PPy) through interface electron transfer and hydrogel encapsulation. To maximize the output, we studied hydrogen metabolism using various techniques and found that conductive polymer modification facilitated electron transfer, affecting intracellular pathways. This technology offers enhanced green hydrogen production for sustainable energy. [ABSTRACT FROM AUTHOR]

Green hydrogen, produced using renewable energy sources, represents a critical component in the transition to sustainable energy systems due to its clean and versatile nature. This research investigates the dynamic behavior of bubbles within the serpentine flow field of a Proton Exchange Membrane Water Electrolysis (PEMWE) cell, aiming to enhance the understanding of two-phase flow dynamics and improve the efficiency of green hydrogen production. Utilizing the Volume of Fluid (VOF) method, a three-dimensional unsteady model was developed to simulate the flow dynamics at the anode of a PEMWE system. The study explores the transition of bubbles from bubbly flow to slug and annular flow, highlighting the significant impact of bubble formation on mass transport and overall cell performance. The results demonstrate that larger bubbles impede liquid water delivery to reaction sites and cause unstable pressure drops. The investigation also examines the influence of wall contact angles on bubble behavior, revealing that hydrophobic surfaces lead to increased gas coverage and more oxygen accumulation inside the channel, which hinders mass transport. These findings underscore the necessity for optimized flow channel designs and enhanced surface treatments to mitigate bubble coalescence and improve PEMWE performance. [Display omitted] • 3D VOF model simulates two-phase flow in PEMWE anode channels. • Flow patterns affect oxygen distribution and pressure drop in channels. • Annular flow reduces water supply to electrodes, impacting efficiency. • Wall wettability is crucial for bubble dynamics and PEMWE mass transport. • Hydrophilic surfaces aid bubble removal, hydrophobic surfaces cause flow hindering. [ABSTRACT FROM AUTHOR]

High-energy-density alkali metal batteries (AMBs) offer a potentially promising and sustainable option for energy storage. However, notorious dendrite growth and uncontrollable plating behaviors resulting from random spatial ion/atom distribution and related high barriers restrict the development of AMBs. Different from interphase engineering and architecture construction, the emerging catalysis modulation is proposed to overcome above-related barriers, achieving uniform alkali metal nucleation and atom diffusion. Among the various catalysts, single atom catalysts (SACs) exhibit an atomic exposure of nearly 100%, displaying high atomic catalytic capability and efficiency. Although it is still at an early stage, the adoption of SACs for modulating alkali metal ion/atom desolvation or diffusion has shown great promise in both fundamental research and practical applications. In this review, the fabrications and characterizations of SACs are briefly summarized, and the principal mechanisms of SAC-incorporated alkali metal anode systems are highlighted in terms of electrochemical analysis, microscopic/spectroscopic characterizations, and theoretical simulations. In addition, sustainable paths for future critical battery chemistry and material selections based on SACs are highlighted. The associated opportunities and challenges are further prospected to achieve a high-performance alkali metal anode. [ABSTRACT FROM AUTHOR]

Demand response, and artificial intelligence integration with it, have a considerable effect in optimizing energy consumption, grid stability, and promoting sustainable energy practices. Consequently, this paper presents NeuroQuMan, a comprehensive methodology for simulating demand response using a three-Qubit quantum neural network (QNN) model. NeuroQuMan integrates quantum computing and machine learning techniques to accurately predict demand based on user reaction time. The methodology encompasses an advanced structure that includes data preprocessing, three-Qubit quantum device initialization, quantum circuit definition, user decision-making, QNN predictions, loss calculations, and visualization. During the tests, NeuroQuMan achieved considerable performance values of metrics, with RMSPE of 5.41%, MAPE of 4.43%, as well as MAE of 0.37, RMSE of 0.45, and MSE of 0.21, respectively. These metrics manifest the accuracy and effectiveness of NeuroQuMan in predicting demand response. By the side of future perspectives of the work, it explores the application of advanced quantum techniques to further enhance prediction accuracy. NeuroQuMan represents the potential of quantum computing in addressing demand response challenges and provides a pathway toward more resilient and intelligent energy management systems. The findings and framework presented in this paper are utilized to advance the field of demand response and quantum-based energy management techniques using a three-Qubit structure. [ABSTRACT FROM AUTHOR]

Purpose: This research seeks to delve into the potential of solar power as a sustainable and renewable energy solution, specifically examining its effectiveness in addressing energy poverty within the complex framework of the Indian energy landscape. Methods: Employing a mixed-methods approach, the research conducts an extensive literature review to establish the current knowledge landscape, identifying gaps and contextualizing the global and Indian scenarios. Quantitative analysis utilizes statistical data from sources such as the International Energy Agency, governmental reports, and research organizations to track the historical evolution of India's energy supply and solar power capacity. Case studies from China, India, and Bangladesh are presented to draw insights from successful solar projects. Additionally, policy analysis evaluates the effectiveness of current and past energy policies in India in promoting solar adoption and mitigating energy poverty. Results: The study unveils trends, and the impact of policy interventions in India's energy landscape. Comparative analyses position India within the global solar PV market. Case studies illustrate successful solar projects' impact on alleviating energy poverty. Policy analysis provides insights into the strengths and weaknesses of existing energy policies. Conclusion: Solar power emerges as a promising solution to end energy poverty, demonstrating significant cost competitiveness and sustainable attributes. The research underscores the need for targeted policies, financial incentives, and technological innovations to overcome challenges. The findings contribute to the discourse on renewable energy's role in sustainable development, emphasizing the potential for solar power to address energy poverty in India and beyond. [ABSTRACT FROM AUTHOR]

This research presents a comprehensive optimization of green ammonia synthesis in Morocco by leveraging advanced deep learning techniques to maximize the utilization of the country's abundant renewable energy resources. By employing deep learning models such as LSTM and LSTM_adv, we forecast ammonia production over the next decade, improving strategies for production and energy storage. Our findings confirmed the viability of sustainable ammonia production in Dakhla and highlighted its transformative potential for global sustainability goals. Under the optimal scenario of 20 % photovoltaic and 80 % wind energy, the production cost was US$575 per tNH 3 , delivering an energy output of 8916.64 GWh and a daily ammonia production of 2503.36 tNH 3. Shifting to 100 % wind energy further enhances the potential, increasing daily ammonia production to a maximum of 3090 tNH 3 while reducing the production cost to US$376 per tNH 3. These results demonstrate the significant economic and environmental benefits of using renewable energy sources for ammonia production in Morocco. By leveraging a country's abundant wind and solar resources, we can contribute to a sustainable and energy-independent future. [Display omitted] • Optimizes ammonia synthesis using renewable energy sources for a greener future. • Projects daily ammonia output of up to 3090 tNH 3 in various energy scenarios. • Achieves 54% efficiency with competitive costs of $376-$575 per tNH 3. • Forecasts ammonia production over 10 years using deep learning models. • Provides insights for sustainable development and energy use in Morocco. [ABSTRACT FROM AUTHOR]

This study explores sustainable energy solutions by utilizing waste-recovered quaternary blends of Scenedesmus obliquus, waste plastics, n-octanol, and hydrogen induction to enhance engine performance. This research aims to address this imperative by proposing a novel blend that not only repurposes waste materials but also leverages hydrogen induction to augment the combustion characteristics of a single cylinder Kirloskar engine's injection timing and injection pressure. The waste plastic is recovered by the pyrolysis method and Scenedesmus obliquus by the transesterification process. The study revealed that out of all the blends, the fuel at 23° before Top Dead Center (bTDC) and 210 bar outperformed all blends with 1.99% better brake thermal efficiency than diesel. The lowest brake specific energy consumption observed was 10.753.35 MJ/kW-hr at 23° bTDC and 240 bar injection pressure, which was 160.38 kJ/kW-hr higher than diesel. Fuel Injection Timing at 23° bTDC at 170 bar shows a 42 ppm decrease for Scenedesmus Obliquus Waste Plastic Octanol 50% (SOWPOCT50) mix compared to diesel. At fuel injection timing (FIT) timing, 23° bTDC and a pressure of 240 bar Injection Pressure (IP), the SOWPOCT50 mixture lowered 0.097 g/h Carbon Monoxide (CO) concentration to diesel. This enormous increase in efficiency and reduction in emission paved a potential replacement source for neat diesel towards the Sustainable Development Goals. [Display omitted] • Quaternary blend was used as fuel for diesel engine. • At lower fuel injection timing significant reduction in NOx emission was achieved. • Ultra low smoke emission was achieved at all operating conditions with the quaternary blend. [ABSTRACT FROM AUTHOR]

Floating solar photovoltaic (FSPV) systems offer a more sustainable energy option than ground-mounted ones by avoiding land use and enabling decentralised power generation. This paper presents a conceptual hybrid design for an actual hydropower plant and a simulated FSPV plant, considering relevant factors. Five significant reservoir dams in India were chosen to test the proposed design, and as a novelty, the cooling effect was considered. In general, the cooling impact is dependent on the kind of supporting structure. Metrics such as generation, carbon dioxide (CO2) reductions, water savings and extra hydropower were computed in this work by considering two kinds of floating structures. The results indicate that with a total coverage of less than 20%, the hydroelectric reservoirs can double their installed power capacity. In terms of energy gain, the hydroelectric plant generated 92% more energy on average after integrating floating solar power. Furthermore, the capacity factor of the plant grew by an average of 18.43%. The total water savings in this scenario are 134.6 million m3, resulting in an additional 34.97 GWh of annual hydroelectricity generation. The cost–benefit analysis shows that the energy produced by FSPV is the most cost effective, ranging from 2.65 to 3.05 Indian rupees/kWh (US$0.03–0.04/kWh), depending on the FSPV platform. [ABSTRACT FROM AUTHOR]

Efficient and robust electrocatalysts play a central role in clean energy conversion, enabling a number of sustainable processes for future technologies. The traditional explorations of electrocatalyst relying on the trial‐and‐error approaches are definitely tedious and inefficient. Theoretical progresses on reactive thermodynamics and kinetics in recent years have initiated a powerful theory‐guided design strategy of electrocatalysts. Herein, this review first summarizes design principles for reactive activity and stability, presenting the thermodynamics, kinetics, and the synergistic thermokinetic correlation in electrocatalytic reaction. Second, the screening criterion, reasonable design, mechanistic understanding, and performance evaluation of the typical electrocatalysts as divided into the thermodynamics oriented‐, kinetics oriented‐, and thermokinetic correlation oriented‐designs are discussed. The necessity of correlating thermodynamics and kinetics into the rational design and mechanism clarification is highlighted. Finally, the conclusions and perspectives of the development of highly efficient electrocatalysts are proposed. [ABSTRACT FROM AUTHOR]

ABSTRACT The achievement of 16 out of the 123 sustainable development goals (SDGs) indicates the vast task ahead for Turkey. Addressing the aspects of ecological sustainability via the trend of the ratio of biocapacity to ecological footprint, this study seeks to examine whether energy security, financial development, natural resources and economic expansion drive Turkey's load capacity factor. By implementing quantile‐on‐quantile and its Granger causality dimension, the results largely affirm the statistically significant effect of energy security on the load capacity factor in all quantiles. Although this impact is weak, it is significantly positive, thus indicating that the country's energy security profile is advancing its ecological sustainability. Similarly, globalization positively impacts the load capacity factor by a strong dimension. Conversely, financial development and economic growth exert a significant but negative effect on the load capacity factor in most quantiles, which reflects the undesirability of these indicators on the country's environmental sustainability drive. Specifically, the negative effects of financial development and economic output on the load capacity factor are mainly in the middle to higher quantiles (0.4–0.95) and lowest quantiles (0.05–0.3), respectively. The results of this study can guide the development of intuitive and robust energy efficiency and energy security‐related policies. [ABSTRACT FROM AUTHOR]

The generation of renewable energy encounters numerous obstacles, chiefly the unpredictability of renewable sources. When new energy generation prediction is lower than expected, it needs to be supplemented by other energy sources, which may lead to instability in the power grid if the deviation is large. When the prediction of new energy generation exceeds expectations, it will lead to energy waste. To address these issues, this paper proposes a Deep Neural Network-based fusion framework, which can improve the prediction accuracy of new energy and achieve a low-carbon, economical, and stable power grid. Within this structure, feature engineering is conducted initially. Subsequently, a combination of traditional tree algorithms like the Gradient Boosting Decision Tree, linear approaches such as the Least Squares Method, and nonlinear neural networks, for instance, Recurrent Neural Networks, are employed for individual model regression purposes. In the final step, both the original time-series data and the outcomes from the individual models are integrated into a deep neural network to derive the ultimate forecasting outcomes. By using our method, the electricity cost has been reduced by 26.5% and the carbon emissions have been decreased by 14.2%. Experiments have been carried out using actual community data, confirming the effectiveness of the proposed approach. The findings indicate that the integration of DNN with traditional and modern machine learning techniques can significantly improve the forecasting of renewable energy generation. This advancement contributes to the creation of a more sustainable, economical, and stable power grid. [ABSTRACT FROM AUTHOR]

Recurring environmental challenges and the global energy crisis have led to intensified research on alternative energy sources. Hydrogen has emerged as a promising solution, produced through electrochemical, thermochemical, and biological methods. This study presents the advantages and disadvantages of these technologies. It also provides pertinent data on hydrogen production, identifying world‐leading countries in hydrogen production, such as the USA, Japan, and China, and the government policies that they have adopted. It reports market trends such as hydrogen synthesis by water electrolysis, the high cost of the electrolyzers used, and incentives for the carbon market to become competitive with other alternative energy sources. It also highlights startups from around the world that are developing innovative methodologies for producing hydrogen. The study concludes that integrating hydrogen production concepts with social, environmental, and industry interests is essential. [ABSTRACT FROM AUTHOR]

This study introduces novel core-shell structured electrocatalysts synthesized via an optimized one-pot sol-gel method, aimed at enhancing the efficiency of the Hydrogen Evolution Reaction (HER) in water splitting. The Ni–NiO/TiO 2 and NiO/TiO 2 composites demonstrate superior catalytic performance, with the Ni–NiO/TiO 2 requiring a remarkably low potential of −0.125 V versus Ag/AgCl to achieve a current density of 10 mA.cm-2. This performance surpasses that of NiO/TiO 2 and pure NiO, offering a viable alternative to Pt catalysts. Advanced characterization techniques, including X-ray diffraction, electron microscopy, and X-ray photoelectron spectroscopy, elucidate the crystalline phases, morphologies, and chemical states, enhancing our understanding of the electrocatalysts' efficiency. In particular, Rietveld refinement analysis provides detailed insights into the structural properties that underpin the observed catalytic performance. Electrochemical assessments highlighted the Ni–NiO/TiO 2 composite's reduced overpotential needs, high Faradaic efficiency (∼98%), and notable long-term durability, positioning these materials as promising candidates for sustainable hydrogen production. [Display omitted] • Argon-induced Ni segregation enhances the NiO/TiO 2 catalytic activity for water splitting. • Achieved a low onset potential (∼88 mV) and a Tafel slope of 40 mV/dec. • Used Rietveld and XPS for catalyst characterization, elucidate the enhancing HER. • Demonstrated superior stability and ∼98% Faradaic efficiency over Pt catalysts. [ABSTRACT FROM AUTHOR]

AbstractCooking with relatively clean fuel has numerous benefits, including reducing pollution and improving health and socioeconomic outcomes. Hence, some developing countries have implemented policies to promote LPG use. However, risks of accidents and explosions may prevent risk-averse households from adopting LPG. This study examines the causal effect of risk aversion on the adoption and expenditure of LPG using the seventh round of the Ghana Living Standards Measurement Survey and a double hurdle approach. We find that risk-averse households are four per cent less likely to adopt LPG and, if adopted, spend significantly less on LPG. The result holds even after endogeneity has been addressed with diverse econometric strategies. However, the effect disappears in households where the primary decision-makers have no formal education, while it is systematically stronger when they are educated. The results imply measures that reduce the actual and perceived dangers of LPG usage could effectively increase adoption rates. [ABSTRACT FROM AUTHOR]

Background: Renewable energy and climate change are vital aspects of humanity. Energy is needed to sustain life on Earth. The exploration and utilisation of traditional fossil-based energy has led to global warming. The exploration and use of fossil-based energy have significantly contributed to global warming, making the shift to renewable energy crucial for mitigating climate change. Renewable energies offer a sustainable alternative that does not harm the environment. This review aims to examine the role of machine learning (ML) in optimising renewable energy systems and enhancing climate change mitigation strategies, addressing both opportunities and challenges in this evolving field. The vital significance of renewable energy and measures to circumvent climate change in modern civilisation is first contextualised in the review. It draws attention to the difficulties encountered in these fields and describes the exciting potential of ML to solve them. Important discoveries highlight how ML can improve renewable energy technology scalability, dependability and efficiency while enabling more precise climate change projections and practical mitigation strategies. Simultaneously, issues including ethical considerations, interpretability of models and data quality demand attention. Method: This review conducted a systematic literature analysis on the application of ML in renewable energy and climate change mitigation. It involved a comprehensive search, selection, and analysis of recent studies, focusing on ML's role in energy forecasting, predictive maintenance, and climate modelling. The review synthesised key developments, challenges, and future directions, emphasising the need for ongoing transdisciplinary research to fully realise ML's potential in advancing sustainable energy solutions. Result: The review found that machine learning significantly enhances renewable energy system efficiency, scalability, and climate change mitigation through improved forecasting, predictive maintenance, and climate modelling. However, challenges like ethical concerns, model interpretability, and data quality persist. Ongoing research is essential to fully leverage ML's potential in these areas. Short conclusion: The paper highlights how machine learning can be used to revolutionise the energy and climate change mitigation industries for sustainable futures. It promotes ongoing transdisciplinary research and innovation to fully realise ML's synergistic potential and tackle urgent global issues. In the end, the review advances our knowledge of how to use ML to hasten the transition to a future that is more robust and sustainable. [ABSTRACT FROM AUTHOR]

The burgeoning environmental crisis and the urgent need for sustainable energy solutions underscore the importance of innovative waste-to-energy conversion technologies. This study aims to an efficient utilize of face mask waste for a novel energy system to address waste management and energy production simultaneously by introducing an integrated system comprising a gasifier reactor, steam methane reformer, and water-gas shift reactor, designed to convert face mask waste into a hydrogen-rich syngas. The gasifier reactor initiates the process with a hydrogen flow rate of 2.352 mol/h, which is subsequently enriched to 5.405 mol/h in the steam methane reformer and further to 6.132 mol/h in the water-gas shift reactor, marking a cumulative increase of 160%. Methane content, initially at 2.017 mol/h, is reduced by 38.4% post-reforming and remains stable through the water-gas shift reaction. Carbon monoxide sees a significant reduction from 0.8558 mol/h to 0.1817 mol/h, a decrease of 78.8%. The findings of this study have profound implications for the energy sector, demonstrating the potential of the integrated system to not only mitigate waste but also to produce clean energy efficiently. The substantial increase in hydrogen content across the reactors highlights the system's capability to support the burgeoning hydrogen economy, while the management of carbon oxides aligns with environmental sustainability goals. The value of this study lies in its contribution to the advancement of waste-to-energy technologies and its role in shaping future energy policies and practices. • An innovative waste-to-energy conversion technology is developed. • Face mask waste gasification is integrated with SMR and WGSR. • Hydrogen flow rate in the gasifier is 2.352 mol/h. • Hydrogen flow rate is increased to 5.405 mol/h in SMR and 6.132 mol/h in WGSR. • This integration improves the hydrogen flow rate by 160%. [ABSTRACT FROM AUTHOR]

Green energy storage systems play a vital role in enabling a sustainable future by facilitating the efficient integration and utilization of renewable energy sources. The main problems related to two‐dimensional (2D) materials are their difficult synthesis process, high cost, and bulk production, which hamper their performance. In recent years, MXenes have emerged as highly promising materials for enhancing the performance of energy storage devices due to their unique properties, including their high surface area, excellent electrical and thermal conductivity, and exceptional chemical stability. This paper presents a comprehensive scientific approach that explores the potential of MXenes for empowering green energy storage systems. Which indicates the novelty of the article. The paper reviews the latest advances in MXene synthesis techniques. Furthermore, investigates the application of MXenes in various energy storage technologies, such as lithium‐ion batteries, supercapacitors, and emerging energy storage devices. The utilization of MXenes as electrodes in flexible and transparent energy storage devices is also discussed. Moreover, the paper highlights the potential of MXenes in addressing key challenges in energy storage, including enhancing energy storage capacity, improving cycling stability, and promoting fast charging and discharging rates. Additionally, industrial application and cost estimation of MXenes are explored. As the output of the work, we analyzed that HF and modified acid (LiF and HCl) are the established methods for synthesis. Due to high electrical conductivity, MXene materials are showing extraordinary results in energy storage and related applications. Making a composite hydrothermal method is one of the established methods. This scientific paper underscores the significant contributions of MXenes in advancing green energy storage systems, paving the way for a sustainable future driven by renewable energy sources. To facilitate the research, this article includes technical challenges and future recommendations for further research gaps in the topic. [ABSTRACT FROM AUTHOR]

Biodiesel has been recognized as the most widely utilized biofuel around the world due to its significant role in reducing the consumption of crude oil and lowering environmental pollution levels. By serving as a renewable alternative to fossil fuels, bioethanol helps decrease greenhouse gas emissions and contributes to a more sustainable energy future. Traditionally, alkali hydroxides like NaOH and KOH have been mainstays in biodiesel synthesis. However, their overuse can lead to unwanted byproducts and operational complexities. Since calcium titanate can occur at a strong base condition, it presents an alternative avenue worth exploring. In this study, we investigate the influence of alkali hydroxides, namely LiOH, NaOH, and KOH, on the formation of calcium titanate through hydrothermal methods, with varying heating times. We aim to understand how different hydroxides affect the synthesis process and the resultant properties of calcium titanate. We delve into the vibrational properties of Ca-O-Ti and Ti-O bonds using Fourier Transform Infra Red (FTIR) spectroscopy, confirming the presence of calcium titanate (JCPDS No.42-0423) through Xray Diffractometry (XRD). This thorough characterization provides insight into the structural integrity and composition of the synthesized materials. Moreover, Scanning Electron Microscopy (SEM) reveals the intriguing cube-like morphology of calcium titanate, offering visual evidence of its unique structure. The fatty acid methyl ester impressively show that calcium titanate synthesized in 7 M NaOH and KOH solutions, heated for 24 h, emerges as a promising biodiesel catalyst. We observe fatty acid methyl ester provides the percentages of 63.67% and 90.02%, respectively, indicating the catalytic efficacy of these materials in biodiesel production. These findings not only contribute to the understanding of calcium titanate synthesis but also pave the way for a sustainable future in biodiesel production by introducing efficient and eco-friendly catalysts. [ABSTRACT FROM AUTHOR]

This study examines the current composition of the energy matrix in Colombia, encompassing its legal framework, configuration, impacts, and future projections. This research, based on a systematic literature review, bibliometric analysis, and text mining, reveals that hydroelectric power is the primary source of clean energy. Fossil fuels, although essential for energy availability in the territory, generate the largest carbon footprint, representing a significant environmental challenge. Despite legal efforts and projections towards clean energy, limitations persist in infrastructure, technology, and social acceptance towards energy production projects. The transition to a sustainable energy system requires overcoming these technical, regulatory, and social barriers while integrating legal, environmental, social, and technological aspects into planning to meet the goals of the current matrix's energy transition, which presents a complex landscape that demands comprehensive strategies for a sustainable energy future. [ABSTRACT FROM AUTHOR]

Hexavalent chromium (Cr (VI)) and para-chlorophenol (4-CP) are prevalent industrial wastewater contaminants that are recalcitrant to natural degradation and prone to migration in aquatic systems, thereby harming biological health and destabilizing ecosystems. Consequently, their removal is imperative. Compared to conventional chemical treatment methods, CW-MFC technology offers broader application potential. Leersia hexandra Swartz can enhance Cr (VI) and 4-CP absorption, thereby improving wastewater purification and electricity generation in CW-MFC systems. In this study, three CW-MFC reactors were designed with L. hexandra Swartz in distinct configurations, namely, stacked, multistage, and modular, to optimize the removal of Cr (VI) and 4-CP. By evaluating wastewater purification, electrochemical performance, and plant growth, the optimal influent hydraulic retention time (HRT) was determined. The results indicated that the modular configuration at an HRT of 5 days achieved superior removal rates and power generation. The modular configuration also supported the best growth of L. hexandra, with optimal photosynthetic parameters, and physiological and biochemical responses. These results underscore the potential of modular CW-MFC technology for effective detoxification of complex wastewater mixtures while concurrently generating electricity. Further research could significantly advance wastewater treatment and sustainable energy production, addressing water pollution, restoring aquatic ecosystems, and mitigating the hazards posed by Cr (VI) and 4-CP to water and human health. [ABSTRACT FROM AUTHOR]

In view of the increasing environmental challenges and the growing demand for sustainable energy solutions, the optimization of microgrid systems with regard to economic efficiency and environmental compatibility is becoming ever more important. This paper presents the Microgrid Performance and Investment Rating (MPIR) index, a novel assessment framework developed to link economic and environmental objectives within microgrid configurations. The MPIR index evaluates microgrid configurations based on five critical dimensions: financial viability, sustainability, regional renewable integration readiness, energy demand, and community engagement, facilitating comprehensive and balanced decision making. The current cases focus on the area of Greece; however, the model can have a wider application. Developed using a two-target optimization model, this index integrates various energy sources—including photovoltaics, micro-wind turbines, and different types of batteries—with advanced energy management strategies to assess and improve microgrid performance. This paper presents case studies in which the MPIR index is applied to different microgrid scenarios. It demonstrates its effectiveness in identifying optimal configurations that reduce the carbon footprint while maximizing economic returns. The MPIR index provides a quantifiable, scalable tool for stakeholders, not only advancing the field of microgrid optimization, but also aligning with global sustainability goals and promoting the transition to a more resilient and sustainable energy future. [ABSTRACT FROM AUTHOR]

Qatar identified that food supply security, including self-sufficiency in vegetable production and increasing sustainable renewable energy generation, is important for increasing economic and environmental resiliency. Very favorable solar energy resources in Qatar suggest opportunities to simultaneously meet this goal by integrating solar energy generation and food production. This study examines the feasibility of developing a sustainable agri-photovoltaic (APV) greenhouse design. A comprehensive greenhouse with solar energy generation included is developed for year-round operation in Lusail, Qatar. The performance of the system is predicted by integrating meteorological data and MATLAB simulations of system components. Important design considerations included optimizing solar energy generation by fixed solar photovoltaic panels placed on the maximum available surface area of the greenhouse canopy, while balancing crop insolation and energy needs for greenhouse HVAC systems. Electrical energy is also stored in an industrial battery. Results suggest the APV greenhouse is technically and economically viable and that it could provide benefits, including enhancing food security, promoting renewable energy, and contributing to sustainable food and energy production in Qatar. [ABSTRACT FROM AUTHOR]

Integrated photovoltaic-fuel cell (IPVFC) systems have the potential to contribute to sustainable energy production for grid and off-grid applications. While there are studies focusing on fundamental science and designs for IPVFC systems, there are few studies that have focused on the manufacturability of IPVFC systems, which is certainly the pathway for the commercialisation of the systems. This study explores manufacturing strategies that can be considered for exploiting a family of eleven IPVFC systems. A survey and systems thinking approach were used to investigate the potential modularisation and supply chain management of the systems to achieve an optimal lean and agile manufacturing strategy. Results show that the Photovoltaic-Thermal-Separate Converter-Inverter-Battery System received 25% of the responses. The optimal manufacturing strategy depends on the overall business strategy of the firm. The 17% preference for System 1 was significant compared to four members of the family of IPVFC systems (Systems 2, 6, 8 and 9) that received only 2% of the responses, and there is a likelihood that the demand for System 1 will be among the top 42% of the total demand of all the systems. Overall, this study provides new insights into how the family of IPVFC systems can contribute to realising greater access to cleaner energy, by extension contributing to net-zero efforts using solar energy and solar hydrogen. [ABSTRACT FROM AUTHOR]

Concerns about climate change are a hot topic in the current debate about a sustainable future, and despite more than 30 years of international conferences, including the Intergovernmental Panel on Climate Change (IPCC) and the United Nations Climate Change Conference (COP), the annual usage amount of fossil fuel-based energy sources has remained largely unchanged, and the green transition to a carbon-free energy system is progressing at a much slower pace than anticipated. This paper presents an original approach that consists in addressing the green transition's dilemmas by analyzing the complex interplay of strongly interwoven forces hindering the rapid adoption of so-called green energy sources scrutinized from a three-fold perspective: socio-psychological; political–strategic and territorial; and technological. Moreover, these forces are ranked according to the magnitude of their impact on the anticipated transition to green, and it is estimated by logistic fit extrapolation that the total share of the contribution of low-carbon sources might reach a maximum of about 25% among all energy sources in 2050. A final original picture is presented, summarizing how all the involved forces are acting upon the expected transition as well as their consequences. [ABSTRACT FROM AUTHOR]

This paper contributes to the understanding of media discourses surrounding the sustainability of nuclear energy, particularly within a crisis context. The study examines the implications of the adoption of the Complementary Delegated Act on EU taxonomy by the European Commission on July 6, 2022, which officially categorises nuclear energy as sustainable. Employing a critical discourse analysis (CDA) methodology, the research explores the discourse strategies --nomination, predication, and argumentation-- utilised across 695 news articles. The findings reveal the intricate representation of nuclear energy's sustainability across the media. The Russian-Ukrainian conflict amplifies favourably the nuclear energy view as a reliable and sustainable energy source. However, the media discourse on nuclear energy's sustainability reveals a variety of viewpoints. These varying outlooks provide essential insights for shaping effective energy policies. This research contributes valuable insights into understanding how media shapes and influences public perception of sustainability energy policies, amplifying specific actors' voices and steering discourse toward distinct trajectories. Such insights are crucial in crafting energy policies. [ABSTRACT FROM AUTHOR]

The transition to biofuels as viable alternatives to fossil fuels is increasingly critical, given the rising demand for sustainable energy. However, biofuel production is hindered by challenges such as feedstock scarcity, elevated production costs, and environmental impacts. Nanotechnology has the potential to significantly improve the efficiency and durability of biofuel production processes, thereby overcoming these challenges. Although there has been significant research on using nanomaterials in biofuel production, there needs to be more emphasis on understanding and addressing the difficulties of integrating these materials and developing strategies to overcome them. This review systematically examines the role of nanotechnology in various biofuel production pathways, including biodiesel, biogas, bioethanol, biohydrogen, hydrotreated vegetable oils, and Fischer–Tropsch synthesis. We discuss how nanomaterials improve key aspects of biofuel production, such as catalysis, microbial conversion, biomass pretreatment, and separation. Despite these advancements, nanotechnology has challenges, including nanoparticle toxicity, increased operational costs, and technical limitations. We propose potential solutions to these issues, emphasizing the need for interdisciplinary collaboration and innovative approaches. By effectively integrating nanotechnology into biofuel production, the energy sector can move toward a more sustainable and environmentally friendly future. [ABSTRACT FROM AUTHOR]

Enhancing agricultural productivity in developing countries is crucial for attaining the sustainable development goal 2.4 by 2030 through integrating information and communication technology (ICT) and renewable energy. Thus, this study investigates the role of ICT, renewable energy, and agricultural credit in enhancing agricultural productivity in developing countries from 2000 to 2021. This study has used the 'Driscoll-Kraay and the Method of Moments Quantile Regression' for robust empirical analysis. The estimated results indicate that renewable energy, ICT, and agricultural credit can enhance agricultural productivity in developing countries. The robustness analysis, however, indicates that the moderation effects of the interaction of ICT with renewable energy and agricultural credit with ICT and renewable energy have a weak and insignificant effect on agricultural productivity over the increasing quantiles. From a policy viewpoint, it is suggested that coherent and effective policies be implemented to encourage the advancement of formal credit institutions to bridge the gap between farmers and lending institutions offering flexible lending options to farmers. Thus, this helps farmers to access and deploy modern technologies and renewable energy in the agricultural field, which ensures sustainable agricultural practices to foster agricultural productivity while enriching environmental quality in developing countries. [ABSTRACT FROM AUTHOR]

Recent Sustainable Development Goals (SDG) reports have highlighted the inadequacy of environmental sustainability efforts. Thus, it is clear that current efforts towards environmental sustainability (SDG 13) and affordable and clean energy (SDG 7) policies are insufficient and a comprehensive policy agenda is needed. Existing literature limitedly addresses the determinants of environmental sustainability but relatively ignores the impact of nuclear energy research and development investments (NCI) and green environment on environmental quality. The motivation of this study is to fill this research gap and propose an overarching policy structure to achieve SDGs. In this context, this study investigates the effects of green environment, economic growth, human capital, and NCI on environmental sustainability comparatively for the United States and France through the Asymmetric Autoregressive Distributed Lag, which considers structural break. Based on the empirical analysis results, economic growth and trade openness harm environmental sustainability, while positive shocks in NCI improve environmental quality in both countries. Negative NCI shocks deteriorate environmental quality in the United States but not France. In conclusion, this study provides detailed environmental sustainability policies for the United States and France. [ABSTRACT FROM AUTHOR]

This perspective article focuses on the innovative field of materials-based bacterial engineering, highlighting interdisciplinary research that employs material science to study, augment, and exploit the attributes of living bacteria. By utilizing exogenous abiotic material interfaces, researchers can engineer bacteria to perform new functions, such as enhanced bioelectric capabilities and improved photosynthetic efficiency. Additionally, materials can modulate bacterial communities and transform bacteria into biohybrid microrobots, offering promising solutions for sustainable energy production, environmental remediation, and medical applications. Finally, the perspective discusses a general paradigm for engineering bacteria through the materials-driven modulation of their transmembrane potential. This parameter regulates their ion channel activity and ultimately their bioenergetics, suggesting that controlling it could allow scientists to hack the bioelectric language bacteria use for communication, task execution, and environmental response. [ABSTRACT FROM AUTHOR]

Currently, emerging as well as industrialized countries are transitioning toward adopting clean energy sources because of increased environmental calamities. Additionally, the rapid increase in population has improved global food production and demand. Nevertheless, the environmental consequences of food production and water investments have received limited attention from scholars. The present research investigates China's environmental determinants between 1988 and 2022. This study uses three parametric approaches (fully modified ordinary least squares [FMOLS], dynamic ordinary least squares [DOLS], and canonical cointegrating regression [CCR]) for the primary model assessment. However, this research also employed the least squares method with breaks and quantile regression to account for structural breaks and nonnormality issues. The predicted outcomes asserted that economic expansion and investment in water significantly improve the carbon emissions level in the country. However, enhanced food production and clean energy adoption improve environmental sustainability and the probability of achieving COP27 targets by reducing emissions. The outcomes are robust and reliable based on the given literature. Based on the outcomes, this research recommends improved investment in research and development, increased renewable energy production, and strong policies for decoupling economic growth from emissions via clean energy. [ABSTRACT FROM AUTHOR]

The current global scenario underlines the urgency of addressing energy consumption and its environmental implications. Contemporary international strategies aim to foster public awareness and engagement in sustainable energy initiatives. The World Environment Protection Commission aspires to qualify for an equitable transition toward energy‐efficient technologies, strategic policies, and achieving net‐zero carbon emissions. The principal aspiration is to enhance community understanding of energy and environmental policies. Furthermore, a root cause analysis reveals that understanding the foundational factors, both internal and external, underpinning the attainment of these objectives is of paramount importance. This study investigates the comparative advantages of renewable energy over non‐renewable sources. It conducts a thorough analysis of various factors, encompassing energy sourcing, variables, challenges, technological progress, and the deployment of energy‐efficient systems. Utilizing a strategic approach and conducting pre‐ and post‐analysis data evaluations, it aims to promote the adoption of sustainable practices for a greener future. Emphasizing the importance of international cooperation and the effective implementation of policies, this research underscores the critical role of practical action in fostering energy sustainability and environmental preservation. [ABSTRACT FROM AUTHOR]

Enhancing farmers' adoption of clean energy is crucial for promoting sustainable rural development and ecological environmental protection. It not only reduces the consumption of traditional fossil fuels, greenhouse gas emissions, and environmental pollution but also optimizes the structure of rural energy consumption, improves farmers' quality of life, and supports the goal of building a green countryside. This paper investigates the impact of internet use on farmers' adoption of clean energy and the associated peer effects, further exploring how internet use influences these peer effects. The analysis is based on data from the 2018 and 2020 waves of the China Family Panel Studies (CFPS). The study's findings reveal that (1) farmers' adoption of clean energy exhibits a significant peer effect, and internet use also has a significant positive impact on this adoption. Both the peer effect and internet use effectively enhance farmers' clean energy utilization, a conclusion that holds even after robustness checks. (2) Internet use significantly strengthens the peer effect, particularly when it is used for social and entertainment purposes, where this reinforcing effect is most pronounced. (3) The peer effect, the impact of internet use on clean energy adoption, and the strengthening of the peer effect by internet use vary according to farmers' geographical location and household income. These findings provide valuable insights and recommendations for improving policies aimed at promoting clean energy adoption among farmers, ultimately fostering its broader diffusion and application in rural areas. [ABSTRACT FROM AUTHOR]

The persistent increase in atmospheric carbon dioxide (CO2) concentration poses a significant contemporary challenge. Contemporary chemistry is heavily focused on sustainable solutions, particularly the photo‐/electrocatalytic reduction of CO2 and its utilization for energy storage. Despite promising prospects, efficient chemical CO2 conversion faces obstacles such as ineffective CO2 uptake/activation and catalyst mass transport. Covalent organic frameworks (COFs) have emerged as potential catalysts due to their precise structural design, functionalizable chemical environments, and robust architectures. COF‐based materials, especially those incorporating diverse active sites like single metal sites, metal nanoparticles, and metal oxides, hold promise for CO2 conversion and energy storage. This review sheds light on CO2 photoreduction/electroreduction and storage in Li‐CO2 batteries catalyzed by COF‐based composites, focusing on recent advancements in integrating COFs with nanoparticles for CO2 reduction. It discusses design principles, synthesis methods, and catalytic mechanisms driving the enhanced performance of COF‐based nanocomposites across various applications, including electrochemical reduction, photocatalysis, and lithium CO2 batteries. The review also addresses challenges and prospects of COF‐based catalysts for efficient CO2 utilization, aiming to steer the development of innovative COF‐based nanocomposites, thus advancing sustainable energy technologies and environmental stewardship. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In this review, the transformative role of polymer nanocomposites in hydrogen production from challenging water sources is explored. Their catalytic efficiency and unique properties are highlighted, making them vital for overcoming complexities in hydrogen generation. Polymer nanocomposites demonstrate exceptional adaptability to various water compositions, including wastewater and saline water, enhancing efficiency, stability, and compatibility. In this review, the significance of these nanomaterials in the sustainable energy landscape is underscored, showcasing their ability to outperform conventional methods. Key breakthroughs in catalytic efficiency and adaptability are emphasized, illustrating their crucial role in clean hydrogen production. Looking forward, in this review, potential applications of polymer nanocomposites in diverse fields, from industrial processes to energy sector advancements, are identified. This synthesis of findings not only enhances the understanding but also sets the stage for the widespread adoption of polymer nanocomposites in meeting the global demand for sustainable hydrogen production. [ABSTRACT FROM AUTHOR]

Biogas plays a significant part in replacing solid biomass and fossil fuels for cooking. However, the implementation of appropriate policies to promote the development of biogas plants is hindered by a lack of adequate assessment of the biogas potential in Nepal. Thus, we estimate the potential of biogas production at the district level of Nepal from available waste biomass, including livestock manure, agricultural residues, and organic fraction of municipal solid waste (OFMSW). Our estimates show the theoretical potential of biogas production from livestock manure of 1890 million m3 year−1, agricultural residues of 2290 million m3 year−1, and OFMSW of 234 million m3 year−1. The total biogas production is 4412 million m3 year−1, equivalent to 153 million liquefied petroleum gas (LPG) cylinders yearly. Using this biogas potential to replace LPG and solid biomass for cooking could result in avoided CO2, CO, and PM2.5 emissions of 6.3 million tons year−1, 0.4 million tons year−1, and 0.04 million tons year−1, respectively. Our findings suggest that the Terai districts of Morang, Sunsari, Saptari, and Banke, as well as the Hilly districts of Kavrepalanchok, Dhading, and Nuwakot, have a significant amount of biogas‐producing potential. Utilising this potential could also contribute to achieving several Sustainable Development Goals and a clean cooking energy transition in Nepal. For this, governments need careful planning, designing, policy support, and facilitation on bio‐resource management and utilisation at the local level. [ABSTRACT FROM AUTHOR]

Globally, most countries have shown strong commitments toward the attainment of sustainable development goals before 2023. Thus, this study focuses on analyzing such commitments toward the attainment of SDGs (7, 8, 10, and 13), respectively. The study evaluates the role played by income inequalities, export diversification, and economic growth in restoring a sustainable environment in India from 1970 to 2019. To achieve its objective, the study employed the novel Fourier autoregressive distributed lag (ARDL) method. Remarkably, the study utilizes the load capacity factor (LCF) as a unique indicator for environmental sustainability. The LCF, which takes into account both biocapacity and ecological footprint, is one of the most complete indicators of environmental quality to date. The study's findings revealed a long‐run relationship between the LCF and all the explanatory variables. According to the Fourier ARDL results, income inequality and renewable energy improve environmental quality. At the same time, economic growth and export diversification negatively impact the LCF in India both within the short and long‐run periods. Conclusion and policy prescriptions are included in the study. [ABSTRACT FROM AUTHOR]

The integration of photovoltaic, energy storage, direct current, and flexible load (PEDF) technologies in building power systems is an important means to address the energy crisis and promote the development of green buildings. The friendly interaction between the PEDF systems and the power grid can promote the utilization of renewable energy and enhance the stability of the power grid. For this purpose, this work introduces a framework of multiple incentive mechanisms for a PEDF park, a building energy system that implements PEDF technologies. The incentive mechanisms proposed in this paper include both economic and noneconomic aspects, which is the most significant innovation of this paper. By modeling the relationship between a PEDF park and the power grid into a Stackelberg game, we demonstrate the effectiveness of these incentive measures in promoting the friendly interaction between the two entities. In this game model, the power grid determines on the prices of electricity trading and incentive subsidy, aiming to maximize its revenue while reducing the peak load of the PEDF park. On the other hand, the PEDF park make its dispatch plan according to the prices established by the grid, in order to reduce electricity consumption expense, improve electricity utility, and enhance the penetration rate of renewable energy. The results show that the proposed incentive mechanisms for the PEDF park can help to optimize energy consumption and promote sustainable energy practices. [ABSTRACT FROM AUTHOR]

Despite its viable economic significance, the role of financial development in achieving environmental sustainability is much less explored. Further, the conventional empirical methods substantially rely on the assumptions of slope homogeneity and cross-sectional independence in panels which may cause aggregation bias. Using an aggregate sample of 100 countries and two subsamples of developed and developing countries over the 1980–2020 period, the study empirically investigates the impact of financial development and production on carbon emissions. We utilize mean group (MG) and pooled mean group (PMG) methods to estimate heterogeneous panels while the common correlated effect mean group (CCEMG) estimator is employed to tackle cross-sectional dependence in panels and structural breaks in data. Results of the study confirm that financial development significantly reduces carbon emissions as it facilitates access to cleaner energy for the sustainable production process. Results also reveal that financial transparency, the structure of the banking sector and foreign investment contribute to environmental sustainability through their significant negative impact on carbon emissions. The estimates show the existence of the Environmental Kuznets Curve (EKC) for almost all the developed and most of the developing countries except for the fossil-rich countries. Furthermore, the short-run estimates of the production-finance-emissions nexus for individual countries also validate these results. The results are robust to several sensitivity checks. The paper concludes that a robust financial sector may resolve environmental degradation issues. [ABSTRACT FROM AUTHOR]

The coupling between anaerobic digestion and hydrothermal carbonization (HTC) is a promising alternative for sustainable energy production. This study presents a dynamic model tailored for a lab-scale anaerobic digester operating on HTC products, specifically hydrochar and HTC liquor derived from sewage and agro-industrial digestate. Leveraging a modified version of the Anaerobic Model 2 (AM2), our simplified model of four states integrates pH and biomass decay rates into biomass kinetics. Simulation results of the mode were compared with experimental data collected over 164 days from the digester. The obtained results have proven the ability of the proposed model to predict the trend of the biogas production as well as important measured outputs of the bioreactor. The developed model could be used to control and optimize the performance of the digester, which provides potential for bioenergy production from waste streams such as digestate and digestate treated through the HTC process. [ABSTRACT FROM AUTHOR]

Bali is one of the islands with the largest Hindu religion in Indonesia. This is of course an attraction for tourists to see the culture and natural beauty that the island of Bali has to offer. However, apart from that, there are many religious activities that occur on the island of Bali and the waste produced is something that needs special attention. If this waste is not handled properly, it will threaten environmental sustainability in Bali and indirectly the tourism offered. Therefore, there is a need for a solution to overcome the waste problem. By conducting observations, interviews and literature studies, a way to overcome this problem was found, namely by converting the waste into aromatherapy incense, vermicomposting, briquettes and biofuel. The results of this processing have been studied and of course have the potential to be carried out on the island of Bali. The application of this method also indirectly plays an important role in preserving the environment and economy on the island of Bali. [ABSTRACT FROM AUTHOR]

Syngas (CO + H 2) production through biomass gasification offers a promising and sustainable alternative to conventional fuels. This study investigates the co-gasification of palm oil decanter cake (PODC) and Alum Sludge (AS), utilizing response surface methodology (RSM) and artificial neural network (ANN) techniques to optimize and predict syngas production. Conducted in a fixed bed horizontal reactor, the experiment investigates temperature, airflow rate, and particle size as input parameters. Results revealed that optimal condition of 900 °C temperature, 10 mL/min airflow rate, and 2 mm particle size yielded the highest syngas production at 39.48 vol%. The RSM showed an R2 value of 0.9896, whereas ANN network revealed an overall R2 value of 0.971. Both models demonstrated strong alignment with experimental data and the modelled equation. This research demonstrates the effective use of statistical modelling to enhance the efficiency and effectiveness of syngas production, thereby fostering advancements in sustainable energy production. [Display omitted] • PODC and AS co-gasification was carried out in fixed bed horizontal tube furnace reactor. • RSM and ANN were applied for optimization and prediction of syngas production. • At optimal condition of 900 °C, 10 mL/min, and 2 mm, 39.48 vol% syngas was produced. • RSM and ANN model prediction accuracy were 98.96% and 97.1%, respectively. • Both RSM and ANN satisfactory validate and predict the response. [ABSTRACT FROM AUTHOR]

To gain a deeper understanding of the intrinsic dynamic relationship between energy consumption and economic growth in China. This study employs panel cointegration and causality models, utilizing the SYS-GMM technique to assess the factors influencing economic growth in China's green finance sector from 2002 to 2022. The research explores the interactions among multiple variables related to the Chinese economic context, including economic growth, carbon dioxide emissions, total natural resource rents, energy consumption, and environmental impact. While considering key factors that may cause structural disturbances in the time series analysis. The findings indicate the existence of long-term cointegration relationships among these variables, with positive correlations between economic growth and total natural resource rents, energy consumption, energy quantity, and ecological footprint. Results also show a bidirectional causal relationship between carbon dioxide emissions and energy consumption and a unidirectional correlation between energy consumption and GDP growth. Additionally, energy intensity (EI) improvements supported by green finance are linked to a significant reduction in CO2 emissions, with a coefficient of -1.933 (p < 0.05), underscoring the role of technological innovation. Further evaluations suggest that investments in renewable energy can promote economic growth, create job opportunities, and reduce greenhouse gas emissions. Energy-saving measures and green finance-supported technological innovations play crucial roles in improving energy intensity and reducing CO2 emissions. The study also underscores the importance of economic diversification to reduce dependence on natural resources and enhance economic stability. Future research should further explore the economic feasibility and environmental benefits of emerging technologies such as Carbon Capture and Storage (CCS), providing deeper insights into sustainable energy practices. [ABSTRACT FROM AUTHOR]

Farming is the primary source of livelihood in India. A variety of crops (cereals, fibers, oil seeds, sugarcane, and others) are grown for food and other consumable products. This results in the production of a large amount of agricultural waste, also known as crop residue. The disposal of crop residue is a major problem in India. Farmers often burn it in open fields (in-situ burning) due to a lack of farmer-friendly options. This has led to increased air pollution in the Indo-Gangetic plains, the loss of beneficial soil microbes and nutrients, and other health risks. This review paper discusses the current status of agricultural residual production in India. It examines waste-to-energy production technologies and assesses the potential for second-generation fuel production in the country. The paper also discusses in-situ management practices (such as happy seeder, rotary mulcher, shrub master, and paddy straw chopper/shredder) and ex-situ energy recovery technologies (such as biogas, biochar, bioethanol plants, and vermicomposting) for sustainable energy production. Highlights: This review focused on Agricultural waste generation. Majorly focused on the current status of agricultural residue production. Discussed waste to energy production technologies. It evaluated the second-generation fuels production possibilities in the country. [ABSTRACT FROM AUTHOR]

This paper offers a qualitative analysis of how higher education and green finance impact the promotion of sustainable energy within the Regional Comprehensive Economic Partnership (RCEP) region from 2000 to 2020. The analysis reveals that higher education has a positive effect on sustainable energy development, with a 1% increase in the higher education population associated with a 0.19% rise in short-term and a 0.29% rise in long-term sustainable energy progress. Green finance also plays a crucial role, significantly accelerating green energy development in the RCEP region—each 1% increase in green finance results in a 0.43% boost in short-term and a 0.38% boost in long-term sustainable energy advancement. In contrast, increased fossil fuel production hampers sustainable energy development. Enhanced internet access further supports green energy progress, contributing to a 0.43% increase in the short-term and a 0.53% increase in the long-term. Policy recommendations include expanding the green finance market, advancing sustainable education initiatives, reducing reliance on fossil fuels, and improving internet access to further sustainable energy development in the RCEP region. [ABSTRACT FROM AUTHOR]

Hydrogen is an important energy carrier without carbon emissions. To achieve a carbon‐neutral world, the demand for hydrogen is very significant. In the process of producing green hydrogen, water splitting using electrocatalysts is a desirable process among many methods. The ideal electrocatalyst for hydrogen evolution is the platinum group of metals; however, the limitations of high cost and low abundance hinder large‐scale hydrogen production. Hence, researchers are trying to develop materials from more abundant and less expensive. Hence, in this review, we focus on the fundamental principles of hydrogen evolution reaction (HER) and various synthesis methods and strategies. From the material perspective, we focus on nickel sulfide‐based nanomaterials of different phases during the last four years of development. We compared the electrocatalyst parameters concerning the synthesis methods and strategies chosen. Finally, we have also discussed future challenges. Ultimately, by synthesizing the collective knowledge amassed in the field of HER research, this review endeavors to offer a comprehensive resource for researchers, engineers, and policymakers striving to advance hydrogen‐based energy technologies. In doing so, we aspire to foster continued innovation and collaboration toward realizing a sustainable energy future powered by hydrogen. [ABSTRACT FROM AUTHOR]