{"title":"Impact of safety regulation on rare event occurrence: The case of nuclear power plants in Korea","authors":"Bongseok Choi, Hong Chong Cho","doi":"10.1177/0958305x241262817","DOIUrl":"https://doi.org/10.1177/0958305x241262817","url":null,"abstract":"Climate change mitigation and energy supply security are the most important issues worldwide. To attain carbon neutrality and restrict global warming to 1.5°C, expediting investments in energy sectors and facilitating the expansion of clean energy is imperative. Nuclear power generation, as a base load, contributes to the energy transition because it is low-carbon and can be deployed on a large scale; however, particular challenges arise due to the risk of accidents, radioactive waste management problems, and public acceptance. Considering the similarity between macroeconomic data and nuclear power generation data from a time-series perspective, this study estimates the frequency of rare event (RE) occurrence in nuclear reactors using macro time-series methodology. We employ the Bayesian Markov Chain Monte Carlo method, developed by Barro and Jin (2021), to estimate the likelihood of RE occurrences for the reactors using the panel data of electricity production (MWh) obtained from the International Atomic Energy Agency's Power Reactor Information System. The findings indicate that the frequency of RE occurrences significantly decreases as nuclear safety regulations strengthen and the regulatory workforce increases. Despite the limitations of being directly utilized as practical indicators for safety performance, observing its similar pattern with the World Association of Nuclear Operators performance indicators provides insights for policy implications in intermediate safety management aimed at preventing major disaster incidents.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"53 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analyzing gas and oil efficiency's role in environmental management: Does political risk matter?","authors":"Victoria Olushola Olanrewaju, Derviş Kırıkkaleli","doi":"10.1177/0958305x241262428","DOIUrl":"https://doi.org/10.1177/0958305x241262428","url":null,"abstract":"This study investigates how eco-innovation, gas efficiency, and oil efficiency can mitigate the environmental impacts of the United Kingdom's reliance on fossil fuels and natural resource consumption, aligning with the sustainable development goals (SDGs). Focusing specifically on the United Kingdom, the study assesses the effects of eco-innovation, gas efficiency, oil efficiency, and political risk on environmental management using quarterly data from 1995 to 2020. To achieve these objectives, a range of quantitative methods are employed, including quantile-on-quantile regression, quantile regression, and causality-in-quantile analysis. The results indicate that political risk positively influences CO2 emissions in the lower quantiles but negatively affects the middle and higher quantiles. Moreover, all independent variables—gas efficiency, political risk, eco-innovation, and oil efficiency—significantly predict CO2 emissions across different quantiles. These findings are crucial for formulating comprehensive policies to effectively promote the objectives of SDGs 7, 9, and 13 in the United Kingdom.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Indian energy policies amidst urban population and economic growth: Sourcing evidence from time-frequency domain analysis","authors":"Avik Sinha, T. Adebayo, F. Bekun","doi":"10.1177/0958305x241251464","DOIUrl":"https://doi.org/10.1177/0958305x241251464","url":null,"abstract":"Relying solely on fossil fuel-driven economic growth could prove unsustainable, particularly in India, where the adverse environmental impact of this growth trajectory is increasingly affecting overall economic development. This challenge may hinder the realization of the sustainable development goals (SDGs) in the country. Therefore, to address this policy concern, an empirically investigation on the influence of various growth drivers on India's economic growth from 1965 to 2019 was conducted by this present study. Leveraging time-frequency estimators like gradual shift causality tests and Wavelet Coherence, the study yields a range of findings that can inform the formulation of an SDG-oriented policy framework. These outcomes not only acknowledge the detrimental environmental consequences of economic growth but also provide insights into addressing energy security issues. Ultimately, this research enhances to the literature by suggesting a comprehensive and adaptable policy framework aimed at advancing SDGs 7, 8, 12, and 13.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"53 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141103033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finding the gaps in design strategies and technological advancements for net-zero energy buildings development in India","authors":"Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba","doi":"10.1177/0958305x241256039","DOIUrl":"https://doi.org/10.1177/0958305x241256039","url":null,"abstract":"The climate-adaptive net-zero energy building design is an effective trend for achieving a carbon-neutral environment and reducing global energy demand, especially, in India where building energy consumption recorded substantial growth in the past decade. This review article focuses on the development of net-zero energy buildings in tropical climates through the analysis of 44 real case studies. This study investigates the building envelope parameters, advance technologies, and their effectiveness on the building energy models. In the first phase of this study, fourteen net-zero energy buildings or high-performance buildings in the USA, China, and India considering energy-efficient design features and their significant effect on energy consumption have been examined. Moreover, the role of building simulation tools in improving energy efficiency is discussed. The second phase investigates the thirty best practices of net-zero energy buildings in tropical climates worldwide based on envelope choices, heating, cooling, and lighting features. Furthermore, this review discusses the evolving definitions, challenges, and inconsistencies in terminologies of net-zero energy building and illustrates India's initiatives towards net-zero development. The objectives of this review study are to highlight the challenges in building material research, advanced lighting, heating, ventilation, and air conditioning technologies, and integration of renewable energy compared to developed nations. Additionally, the gaps that are the barriers to the development of net-zero energy building in India have been identified. The review eventually concludes by providing policy recommendations and suggesting areas for future research to facilitate net-zero energy-building development in India.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141107564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A multilevel system cross-game dynamics approach for carbon emission governance strategy","authors":"Yingchun Ding, Jian Yin, Hongtao Jiang","doi":"10.1177/0958305x241256036","DOIUrl":"https://doi.org/10.1177/0958305x241256036","url":null,"abstract":"The relationships within the carbon emissions game are diverse and intricate, encompassing both horizontal games between regions and vertical games involving governments, enterprises, and the public. To explore the complex game relationships among carbon emission entities, this study integrated horizontal and vertical games and applied the system dynamics method to construct a multilevel and multiagent cross-game model, analyzing the changing trends of strategies among different regional governments, enterprises, and the public. The research reveals that there is free-riding behavior in the governance of carbon emissions among regions. However, this free-riding behavior can lead to a virtuous cycle. The attitude of the government plays a crucial role in determining whether businesses engage in carbon emission management. Increasing government regulatory efficiency does not alter the outcome of the game, but it can reduce the time required to reach Nash equilibrium. The study enhances the simulation of carbon emission game theory and provides a reliable reference for government regulation and low-carbon development in businesses.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"58 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141113316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye, Tien-Chien Jen, Daniel M. Madyira
{"title":"Optimizing renewable energy systems through artificial intelligence: Review and future prospects","authors":"Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye, Tien-Chien Jen, Daniel M. Madyira","doi":"10.1177/0958305x241256293","DOIUrl":"https://doi.org/10.1177/0958305x241256293","url":null,"abstract":"The global transition toward sustainable energy sources has prompted a surge in the integration of renewable energy systems (RES) into existing power grids. To improve the efficiency, reliability, and economic viability of these systems, the synergistic application of artificial intelligence (AI) methods has emerged as a promising avenue. This study presents a comprehensive review of the current state of research at the intersection of renewable energy and AI, highlighting key methodologies, challenges, and achievements. It covers a spectrum of AI utilizations in optimizing different facets of RES, including resource assessment, energy forecasting, system monitoring, control strategies, and grid integration. Machine learning algorithms, neural networks, and optimization techniques are explored for their role in complex data sets, enhancing predictive capabilities, and dynamically adapting RES. Furthermore, the study discusses the challenges faced in the implementation of AI in RES, such as data variability, model interpretability, and real-time adaptability. The potential benefits of overcoming these challenges include increased energy yield, reduced operational costs, and improved grid stability. The review concludes with an exploration of prospects and emerging trends in the field. Anticipated advancements in AI, such as explainable AI, reinforcement learning, and edge computing, are discussed in the context of their potential impact on optimizing RES. Additionally, the paper envisions the integration of AI-driven solutions into smart grids, decentralized energy systems, and the development of autonomous energy management systems. This investigation provides important insights into the current landscape of AI applications in RES.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"39 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141111044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kuiquan Zhu, Arshad Ali, Taiming Zhang, Muhammad Zada
{"title":"An empirical investigation of the impact of energy consumption, globalization and natural resources on ecological footprint and economic growth, evidence from China, Japan, South Korea and China Taiwan","authors":"Kuiquan Zhu, Arshad Ali, Taiming Zhang, Muhammad Zada","doi":"10.1177/0958305x241251421","DOIUrl":"https://doi.org/10.1177/0958305x241251421","url":null,"abstract":"Natural resources are regarded as important indicators that make great contributions to reducing environmental pollution and promoting growth in today's era of globalization. Thus, a more rigorous assessment of the complexity of determining growth and ecological footprint is critical. This study examines the dynamic linkages between globalization, natural resources, renewable and non-renewable energy use, ecological footprint and growth in Taiwan, Japan, China, and South Korea from 1975 to 2020. In terms of the certainty of cross-sectional dependence of panel variable data, this study uses second-generation panel unit root, cointegration, long-term elasticity, and two-way causality estimation tests to obtain reliable and valid results. The findings explore the fact that environmental degradation is substantially mitigated by the using of renewable energy sources, while other underlying factors, such as non-renewable energy sources, natural resource rent (NRR), economic growth, and globalization, exacerbate environmental pollution. In addition, the use of renewable and non-renewable energy, NRRs and globalization drive economic progress. Globalization and ecological footprint have a bilateral causal association. The research analysis supports the feedback hypothesis based on a bidirectional causal relationship between renewable energy use and ecological footprint. Based on the empirical findings of the current study, various policy endorsements are proposed to scare and control environmental damage without hampering growth in specific East Asian economies.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"58 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141116984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Van Giao Nguyen, Ranjna Sirohi, Minh Ho Tran, Thanh Hai Truong, Minh Thai Duong, Minh Tuan Pham, Dao Nam Cao
{"title":"Renewable energy role in low-carbon economy and net-zero goal: Perspectives and prospects","authors":"Van Giao Nguyen, Ranjna Sirohi, Minh Ho Tran, Thanh Hai Truong, Minh Thai Duong, Minh Tuan Pham, Dao Nam Cao","doi":"10.1177/0958305x241253772","DOIUrl":"https://doi.org/10.1177/0958305x241253772","url":null,"abstract":"Several issues such as sustainability, CO2 footprint, and energy supply security which primarily resulted from fossil fuel emissions have become the main concerns for analysts and policymakers worldwide. Therefore, to meet the goals of sustainable energy as well as the switch to a net-zero and low-carbon economy, energy systems must be diversified by increasing the implementation of renewable and clean sources of energy. This paper focused on the deep analysis of the key role of bioenergy, geothermal, solar, hydropower or hydrogen, ocean, and wind (BIGSHOW) renewable energy in producing clean energy aiming to attain the sustainable net-zero norms and climate change mitigation. Furthermore, AI technology and its applicability were also introduced to enhance the management efficiency of BIGSHOW in energy-use strategies. More importantly, barriers and bottlenecks of deploying BIGSHOW projects and applications were comprehensively analyzed. Finally, policy implications and vital solutions were thoroughly presented aiming to increase the penetration of BIGSHOW to the energy system. In short, this work could be strong and persuasive evidence for speeding up the shifting progress of a precarious fossil fuel-based economy to a sustainable low-carbon one, in which BIGSHOW has been known as the core role.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"99 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141116329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding the complex dynamics of climate change in BRICS countries: Analyzing the COP26 and COP27 agendas","authors":"Dil Jan, Maaz Ahmad, Xiao Gu","doi":"10.1177/0958305x241251414","DOIUrl":"https://doi.org/10.1177/0958305x241251414","url":null,"abstract":"The urgency to address climate change becomes increasingly evident as we observe a rise in devastating natural disasters and significant changes in global temperatures. This comprehensive study critically assesses the adherence to climate targets set at COP26 and COP27, employing a dual approach encompassing theoretical and empirical aspects—basic and additional analysis. According to theoretical findings, China, Brazil, and South Africa are still experiencing an increase in climate change indicators despite their collective efforts. Notably, Brazil has shown limited progress in green financing initiatives. Moving to an empirical analysis covering 1995–2021, the study employs advanced econometric techniques, including panel ARDL, FMOLS, DOLS, CS-ARDL, and Grey forecasting models (GM (1,1) and DGM (1,1)). The past data on energy production using both renewable and non-renewable sources spanning from 2010 to 2021 to forecast energy production for the next 8 years, extending up to 2029. Results indicate that green financing, renewable energy consumption, natural resource rents, and government effectiveness significantly reduce GHG emissions. Conversely, economic growth, including its cubic form, exacerbates GHG emission trends. Moreover, the study validates the environmental N-shaped hypothesis in the examined countries, providing a complete understanding of climate change's intricate and multifaceted impacts. The grey forecasting model shows that Brazil, Russia, and South Africa are actively endeavoring to curb greenhouse gas emissions by transitioning toward renewable energy sources for energy production. This research contributes valuable insights for policymakers, emphasizing the importance of targeted interventions in green financing and sustainable practices to effectively address and mitigate climate change.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"106 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141115811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Managing municipal wastewater remediation employing alginate-immobilized marine diatoms and silver nanoparticles","authors":"Pankaj Kumar Singh, Hirak S. Parikh, Abhishek Saxena, Bharti Mishra, Rashi Tyagi, Mukesk Kumar Awasthi, A. Madhavan, Raveendran Sindhu, Archana Tiwari","doi":"10.1177/0958305x241246185","DOIUrl":"https://doi.org/10.1177/0958305x241246185","url":null,"abstract":"Wastewater remediation has become a major environmental concern in recent years, which has led scientists to look for innovative sustainable solutions. Diatoms have emerged as a potentially effective solution for wastewater treatment, primarily because of their extraordinary ability to absorb nutrients and engage in metabolic processes. The present study aims to accomplish two goals, firstly, green synthesis of silver nanoparticles (AgNPs) utilizing marine diatoms Chaetoceros sp. and Thalassiosira sp. Secondly, encapsulation of diatoms within a Ca-alginate hydrogel bead developed via the gelation method thus introducing a novel way to assess their effectiveness in nutrient bioremediation from wastewater. The study reveals that Thalassiosira sp. mediated AgNPs are very effective in removing phosphate and nitrate, with 74% and 65% removal rates respectively. Conversely, Chaetoceros sp. mediated AgNPs significantly decreased chemical oxygen demand (COD) by 73%. Furthermore, Thalassiosira sp. encapsulated in Ca-alginate hydrogel beads demonstrated significant removal rates: 64% for nitrate, 91% for phosphate, and 78% for COD, respectively. Furthermore, the biochemical profiles of both diatom-entrapped alginate beads were remarkable, and the approach shows potential for effective and sustainable wastewater treatment methods, which can further be investigated for long-term performance, scalability, and environmental impact on sustainability.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"45 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140663262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}