Achieving a decarbonized society requires balancing two critical and seemingly conflicting objectives: reducing energy consumption and ensuring energy demand flexibility to adapt to the variability of renewable energy production. This study introduces "energy demand science" as a multidisciplinary field to address these challenges, focusing on the residential sector, which significantly impacts energy use due to occupant behavior and lifestyle. Using a comprehensive review of literature and advanced modeling techniques, this research explores mechanisms driving energy demand. Key results show that energy demand can be reduced by up to 40 % by 2050 through lifestyle adjustments, urbanization, and innovative technologies, aligning with global warming targets below 1.5 °C. Advanced modeling techniques and high-resolution data analyses were employed to explore mechanisms driving energy demand, supported by historical data from 1970 to present, incorporating advancements in IoT and smart metering technologies. The results highlight the importance of integrating technological, human, natural, and socio-economic factors to achieve a sustainable reduction in energy use while maintaining flexibility. Policy implications emphasize the need for holistic, interdisciplinary strategies to enable efficient demand-side management, enhance renewable energy integration, and align energy consumption with decarbonization goals.
{"title":"Modeling and managing residential energy demand for a low-carbon future","authors":"Chang Zhang , Mirzat Ullah , Hind Alofaysan , Hakimjon Hakimov , Sophia Audrey","doi":"10.1016/j.esr.2024.101610","DOIUrl":"10.1016/j.esr.2024.101610","url":null,"abstract":"<div><div>Achieving a decarbonized society requires balancing two critical and seemingly conflicting objectives: reducing energy consumption and ensuring energy demand flexibility to adapt to the variability of renewable energy production. This study introduces \"energy demand science\" as a multidisciplinary field to address these challenges, focusing on the residential sector, which significantly impacts energy use due to occupant behavior and lifestyle. Using a comprehensive review of literature and advanced modeling techniques, this research explores mechanisms driving energy demand. Key results show that energy demand can be reduced by up to <strong>40 % by 2050</strong> through lifestyle adjustments, urbanization, and innovative technologies, aligning with global warming targets below 1.5 °C. Advanced modeling techniques and high-resolution data analyses were employed to explore mechanisms driving energy demand, supported by historical data from 1970 to present, incorporating advancements in IoT and smart metering technologies. The results highlight the importance of integrating technological, human, natural, and socio-economic factors to achieve a sustainable reduction in energy use while maintaining flexibility. Policy implications emphasize the need for holistic, interdisciplinary strategies to enable efficient demand-side management, enhance renewable energy integration, and align energy consumption with decarbonization goals.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101610"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101600
Qiang Wang, Yuanfan Li, Rongrong Li
The global energy transition, driven by the imperative to mitigate climate change, demands innovative solutions to address the technical, economic, and social challenges of decarbonization. Artificial intelligence (AI) has emerged as a transformative technology in this domain, offering tools to enhance each link in the energy system. This comprehensive review examines the current state of AI applications across key energy transition domains, including renewable energy deployment, energy efficiency, grid stability, and smart grid integration. The study identifies the pivotal role of AI in accelerating the adoption of intermittent renewable energy sources like solar and wind, managing demand-side dynamics with advanced forecasting and optimization, and enabling energy storage and distribution innovations such as vehicle-to-grid systems and hybrid energy solutions. It also highlights the potential of AI to advance energy system stability, address cybersecurity risks, and promote equitable and sustainable energy systems. Despite these advancements, challenges remain, including data quality and accessibility, system interoperability, scalability, and concerns regarding privacy and ethics. By synthesizing recent research and practical case studies, this paper provides insights into the opportunities and limitations of AI-driven energy transformation and offers strategic recommendations to guide future research, development, and policy-making. This review highlights that AI is not just a tool but a transformative catalyst, reshaping global energy systems into equitable, resilient, and sustainable frameworks, essential for achieving a net-zero future.
{"title":"Integrating artificial intelligence in energy transition: A comprehensive review","authors":"Qiang Wang, Yuanfan Li, Rongrong Li","doi":"10.1016/j.esr.2024.101600","DOIUrl":"10.1016/j.esr.2024.101600","url":null,"abstract":"<div><div>The global energy transition, driven by the imperative to mitigate climate change, demands innovative solutions to address the technical, economic, and social challenges of decarbonization. Artificial intelligence (AI) has emerged as a transformative technology in this domain, offering tools to enhance each link in the energy system. This comprehensive review examines the current state of AI applications across key energy transition domains, including renewable energy deployment, energy efficiency, grid stability, and smart grid integration. The study identifies the pivotal role of AI in accelerating the adoption of intermittent renewable energy sources like solar and wind, managing demand-side dynamics with advanced forecasting and optimization, and enabling energy storage and distribution innovations such as vehicle-to-grid systems and hybrid energy solutions. It also highlights the potential of AI to advance energy system stability, address cybersecurity risks, and promote equitable and sustainable energy systems. Despite these advancements, challenges remain, including data quality and accessibility, system interoperability, scalability, and concerns regarding privacy and ethics. By synthesizing recent research and practical case studies, this paper provides insights into the opportunities and limitations of AI-driven energy transformation and offers strategic recommendations to guide future research, development, and policy-making. This review highlights that AI is not just a tool but a transformative catalyst, reshaping global energy systems into equitable, resilient, and sustainable frameworks, essential for achieving a net-zero future.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101600"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101620
Md Qamaruzzaman
This study investigates the drivers of energy transition among Belt and Road Initiative (BRI) countries, focusing on the roles of education, globalization, trade openness, and financial development. With the shift toward sustainable energy as a global priority, understanding these influences within BRI nations is crucial to formulating effective policies for renewable energy adoption. Using panel data from 46 BRI countries spanning 2000–2021, we employ advanced econometric techniques, including the Continuously Updated Fully Modified (CUP-FM) and Continuously Updated Bias-Corrected (CUP-BC) models, to assess both linear and nonlinear effects. Results show that education significantly promotes renewable energy by fostering skills and environmental awareness. Globalization and trade openness also support energy transition by facilitating the exchange of green technologies and sustainable practices, while financial development enables investment in renewable infrastructure. This research fills a notable gap in energy transition literature, providing evidence from diverse economic contexts and offering actionable insights for policymakers. We recommend prioritizing investment in education to enhance awareness, fostering international cooperation to facilitate technology transfer, and developing robust financial systems to support renewable energy projects. These strategies are essential for advancing the energy transition and achieving climate goals within BRI nations.
{"title":"Driving energy transition in BRI nations: The role of education, globalization, trade liberalization, and financial deepening – A comprehensive linear and nonlinear approach","authors":"Md Qamaruzzaman","doi":"10.1016/j.esr.2024.101620","DOIUrl":"10.1016/j.esr.2024.101620","url":null,"abstract":"<div><div>This study investigates the drivers of energy transition among Belt and Road Initiative (BRI) countries, focusing on the roles of education, globalization, trade openness, and financial development. With the shift toward sustainable energy as a global priority, understanding these influences within BRI nations is crucial to formulating effective policies for renewable energy adoption. Using panel data from 46 BRI countries spanning 2000–2021, we employ advanced econometric techniques, including the Continuously Updated Fully Modified (CUP-FM) and Continuously Updated Bias-Corrected (CUP-BC) models, to assess both linear and nonlinear effects. Results show that education significantly promotes renewable energy by fostering skills and environmental awareness. Globalization and trade openness also support energy transition by facilitating the exchange of green technologies and sustainable practices, while financial development enables investment in renewable infrastructure. This research fills a notable gap in energy transition literature, providing evidence from diverse economic contexts and offering actionable insights for policymakers. We recommend prioritizing investment in education to enhance awareness, fostering international cooperation to facilitate technology transfer, and developing robust financial systems to support renewable energy projects. These strategies are essential for advancing the energy transition and achieving climate goals within BRI nations.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101620"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101590
Muhammad Imran , Muhammad Tufail , Chen Mo , Salman Wahab , Muhammad Kamran Khan , Wong Chee Hoo , Zhu Ling
As Asia faces the dual challenges of rapid economic expansion and mounting environmental pressures, the region's ability to balance growth with sustainability has become a focal point of global discourse. With increasing energy demands, escalating CO₂ emissions, and widening income inequality, an integrated approach to managing natural resources has never been more critical. This study responds to this urgent need by examining the complex interplay between energy consumption, living standards, and natural resource rents—factors that will determine whether Asia can sustain its growth without depleting its ecological assets. Our analysis incorporates key variables such as standard of living, income inequality, renewable and nonrenewable energy consumption, CO₂ emissions, gross fixed capital formation, and foreign direct investment, all of which play crucial roles in shaping natural resource rents across Asian economies. Using Moment Quantile Regression (MMQR), we uncover nuanced insights into how these factors interact across different economic contexts. The findings reveal a negative correlation between higher living standards and resource rents, indicating that countries like Japan and South Korea, which have transitioned to more diversified, technology-driven sectors, demonstrate a pathway for sustainable growth. Conversely, economies like Indonesia and Malaysia, with lower living standards and higher dependence on resource rents, face challenges related to income inequality and environmental degradation. Renewable energy consumption positively impacts resource rents, while reliance on fossil fuels has a detrimental effect, reinforcing the need for energy portfolio diversification. A strong link between CO₂ emissions and resource rents highlights the necessity of balancing economic growth with environmental preservation. This study provides policymakers with actionable insights, emphasizing the importance of adopting sustainable energy practices, addressing income inequality, and managing foreign investments responsibly to ensure long-term resilience and prosperity in Asian economies while safeguarding vital natural resources for future generations.
{"title":"From resources to resilience: Understanding the impact of standard of living and energy consumption on natural resource rent in Asia","authors":"Muhammad Imran , Muhammad Tufail , Chen Mo , Salman Wahab , Muhammad Kamran Khan , Wong Chee Hoo , Zhu Ling","doi":"10.1016/j.esr.2024.101590","DOIUrl":"10.1016/j.esr.2024.101590","url":null,"abstract":"<div><div>As Asia faces the dual challenges of rapid economic expansion and mounting environmental pressures, the region's ability to balance growth with sustainability has become a focal point of global discourse. With increasing energy demands, escalating CO₂ emissions, and widening income inequality, an integrated approach to managing natural resources has never been more critical. This study responds to this urgent need by examining the complex interplay between energy consumption, living standards, and natural resource rents—factors that will determine whether Asia can sustain its growth without depleting its ecological assets. Our analysis incorporates key variables such as standard of living, income inequality, renewable and nonrenewable energy consumption, CO₂ emissions, gross fixed capital formation, and foreign direct investment, all of which play crucial roles in shaping natural resource rents across Asian economies. Using Moment Quantile Regression (MMQR), we uncover nuanced insights into how these factors interact across different economic contexts. The findings reveal a negative correlation between higher living standards and resource rents, indicating that countries like Japan and South Korea, which have transitioned to more diversified, technology-driven sectors, demonstrate a pathway for sustainable growth. Conversely, economies like Indonesia and Malaysia, with lower living standards and higher dependence on resource rents, face challenges related to income inequality and environmental degradation. Renewable energy consumption positively impacts resource rents, while reliance on fossil fuels has a detrimental effect, reinforcing the need for energy portfolio diversification. A strong link between CO₂ emissions and resource rents highlights the necessity of balancing economic growth with environmental preservation. This study provides policymakers with actionable insights, emphasizing the importance of adopting sustainable energy practices, addressing income inequality, and managing foreign investments responsibly to ensure long-term resilience and prosperity in Asian economies while safeguarding vital natural resources for future generations.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101590"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the critical relationship between green financing, renewable energy, and sustainable tourism development, a nexus often overlooked in empirical literature. Using panel data from 30 provinces in China over the period 2005–2023, the research aims to evaluate the impact of green finance and renewable energy on the tourism sector while incorporating healthcare costs, carbon emissions, and technological advancements as explanatory variables. Employing System GMM and the augmented mean group (AMG) methodology, the analysis reveals that green financing and renewable energy significantly boost tourism activities, contributing to lower health expenses and reduced carbon emissions. The results also highlight a robust relationship between technological innovation and the growth of tourism-related activities. Furthermore, the panel causality analysis confirms strong bidirectional causal linkages among the studied variables. Policy implications suggest that fostering green financing initiatives and renewable energy infrastructure can effectively enhance sustainable tourism practices, aligning China's efforts with global environmental standards.
{"title":"Toward sustainable tourism: Insights from green financing and renewable energy","authors":"Shang Chen , Ch Paramaiah , Pranav Kumar , Sania Khan , Qingtao Haomu","doi":"10.1016/j.esr.2024.101618","DOIUrl":"10.1016/j.esr.2024.101618","url":null,"abstract":"<div><div>This study explores the critical relationship between green financing, renewable energy, and sustainable tourism development, a nexus often overlooked in empirical literature. Using panel data from 30 provinces in China over the period 2005–2023, the research aims to evaluate the impact of green finance and renewable energy on the tourism sector while incorporating healthcare costs, carbon emissions, and technological advancements as explanatory variables. Employing System GMM and the augmented mean group (AMG) methodology, the analysis reveals that green financing and renewable energy significantly boost tourism activities, contributing to lower health expenses and reduced carbon emissions. The results also highlight a robust relationship between technological innovation and the growth of tourism-related activities. Furthermore, the panel causality analysis confirms strong bidirectional causal linkages among the studied variables. Policy implications suggest that fostering green financing initiatives and renewable energy infrastructure can effectively enhance sustainable tourism practices, aligning China's efforts with global environmental standards.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101618"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101612
Yinlong Ma, Ruirui Li
This study investigates the impact of digital economy on carbon emissions and energy transition, focusing on G-20 countries and Chinese cities from 2008 to 2021. Using data from 276 Chinese cities, we employ an IV-GMM regression model to assess the role of digital economy in addressing the energy trilemma—balancing sustainability, energy security, and affordability. The findings reveal that while digital technologies enhance energy efficiency and facilitate the shift towards low-carbon industries, and also increase overall energy consumption due to the growing digital infrastructure. The empirical analysis has identified key pathways, such as industrial restructuring and foreign investment attraction, through which digital economy influenced the energy transition. Based on these results, we recommend that G-20 and Chinese policymakers to promote environmental sustainability, ensure reliable energy systems, and support long-term development goals.
{"title":"The impact of digital economy on carbon emissions: Insights from the G-20 energy transition and environmental governance","authors":"Yinlong Ma, Ruirui Li","doi":"10.1016/j.esr.2024.101612","DOIUrl":"10.1016/j.esr.2024.101612","url":null,"abstract":"<div><div>This study investigates the impact of digital economy on carbon emissions and energy transition, focusing on G-20 countries and Chinese cities from 2008 to 2021. Using data from 276 Chinese cities, we employ an IV-GMM regression model to assess the role of digital economy in addressing the energy trilemma—balancing sustainability, energy security, and affordability. The findings reveal that while digital technologies enhance energy efficiency and facilitate the shift towards low-carbon industries, and also increase overall energy consumption due to the growing digital infrastructure. The empirical analysis has identified key pathways, such as industrial restructuring and foreign investment attraction, through which digital economy influenced the energy transition. Based on these results, we recommend that G-20 and Chinese policymakers to promote environmental sustainability, ensure reliable energy systems, and support long-term development goals.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101612"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101608
Xiaojuan Yang , Huamin Zhou , Junjun Gao
The study aims to test the renewable energy productivity and energy efficiency for energy projects with the role of cost of capital in China from 2009 to 2023. The study examined the results with correlation analysis, co-integration analysis, efficiency analysis, and generalized methods of moments (GMM) analysis technique. The results shown that the cost of capital for energy projects significantly determines renewable energy productivity. In addition, energy productivity also ensures the energy efficiency of renewable energy projects in China. The findings further explain that renewable energy productivity and efficiency foster energy transition significantly; it is also based on the cost of capital of the renewable energy project. In comparison, gross domestic product and urbanization show divergent controlling behavior in study results. Correspondingly, the study also suggested numerous policy implications for decision-makers. However, the novelty of research is contained in its framework. This investigation offers the first attempt at demonstrating how capital costs are detrimental to two other features typically studied separately – renewable energy productivity and energy efficiency.
{"title":"Enhancing renewable energy productivity and energy efficiency of energy projects: How does cost of capital influence?","authors":"Xiaojuan Yang , Huamin Zhou , Junjun Gao","doi":"10.1016/j.esr.2024.101608","DOIUrl":"10.1016/j.esr.2024.101608","url":null,"abstract":"<div><div>The study aims to test the renewable energy productivity and energy efficiency for energy projects with the role of cost of capital in China from 2009 to 2023. The study examined the results with correlation analysis, co-integration analysis, efficiency analysis, and generalized methods of moments (GMM) analysis technique. The results shown that the cost of capital for energy projects significantly determines renewable energy productivity. In addition, energy productivity also ensures the energy efficiency of renewable energy projects in China. The findings further explain that renewable energy productivity and efficiency foster energy transition significantly; it is also based on the cost of capital of the renewable energy project. In comparison, gross domestic product and urbanization show divergent controlling behavior in study results. Correspondingly, the study also suggested numerous policy implications for decision-makers. However, the novelty of research is contained in its framework. This investigation offers the first attempt at demonstrating how capital costs are detrimental to two other features typically studied separately – renewable energy productivity and energy efficiency.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101608"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101636
Sheng Xiang , Mingbo Zheng , Hongming Yang , Yushuang He , Chun-Ping Chang
This study explores the stationary property of electricity consumption for Hunan province in China over the period January 2013 to April 2023. Our analysis uses the panel stationarity tests, which take into account the factor structure and structural breaks. The results indicate supportive findings of non-stationarity in Hunan province. The results imply that external shocks yield a permanent effect for electricity consumption in Hunan province. These findings shows that governments should adopt policies to mitigate external shocks to electricity consumption in order to achieve electricity market stability and long-term sustainable development.
{"title":"Do shocks to electricity consumption generate persistent effect? Evidence from Hunan Province in China","authors":"Sheng Xiang , Mingbo Zheng , Hongming Yang , Yushuang He , Chun-Ping Chang","doi":"10.1016/j.esr.2024.101636","DOIUrl":"10.1016/j.esr.2024.101636","url":null,"abstract":"<div><div>This study explores the stationary property of electricity consumption for Hunan province in China over the period January 2013 to April 2023. Our analysis uses the panel stationarity tests, which take into account the factor structure and structural breaks. The results indicate supportive findings of non-stationarity in Hunan province. The results imply that external shocks yield a permanent effect for electricity consumption in Hunan province. These findings shows that governments should adopt policies to mitigate external shocks to electricity consumption in order to achieve electricity market stability and long-term sustainable development.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101636"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101631
Abid Hussain , Alida Huseynova , Yegana Hakimova , Abdelmohsen A. Nassani , Bai Bo
This study suggests a multi-regional power system optimization model to evaluate the impact of various flexibility options on reducing carbon emissions in the Chinese power sector. This model considers factors such as total carbon emissions, peaking timetables and values, carbon emission transfer between regional power systems, and changes in carbon emission sources between technologies. The findings reveal four primary outcomes: first, renewable energy integration significantly improves energy efficiency across all G7 nations, although the degree of impact varies among them. Second, emission flexibility mechanisms, such as carbon trading and adaptable regulatory policies, have positively influenced emission reductions without compromising economic growth. Third, the interaction between energy efficiency and renewable energy use is shown to be mutually reinforcing, particularly in the countries with high levels of technological innovation. Fourth, energy policy frameworks that adapt to fluctuating grid demands and environmental targets have a measurable effect on reducing greenhouse gas emissions. The results suggest that policy efforts should focus on enhancing adaptive regulatory frameworks and investment in renewable technologies, which are crucial for achieving long-term emission reduction goals while maintaining economic resilience in the G7.
{"title":"Energy efficiency and emission flexibility: Management and economic insights for renewable energy integration","authors":"Abid Hussain , Alida Huseynova , Yegana Hakimova , Abdelmohsen A. Nassani , Bai Bo","doi":"10.1016/j.esr.2024.101631","DOIUrl":"10.1016/j.esr.2024.101631","url":null,"abstract":"<div><div>This study suggests a multi-regional power system optimization model to evaluate the impact of various flexibility options on reducing carbon emissions in the Chinese power sector. This model considers factors such as total carbon emissions, peaking timetables and values, carbon emission transfer between regional power systems, and changes in carbon emission sources between technologies. The findings reveal four primary outcomes: first, renewable energy integration significantly improves energy efficiency across all G7 nations, although the degree of impact varies among them. Second, emission flexibility mechanisms, such as carbon trading and adaptable regulatory policies, have positively influenced emission reductions without compromising economic growth. Third, the interaction between energy efficiency and renewable energy use is shown to be mutually reinforcing, particularly in the countries with high levels of technological innovation. Fourth, energy policy frameworks that adapt to fluctuating grid demands and environmental targets have a measurable effect on reducing greenhouse gas emissions. The results suggest that policy efforts should focus on enhancing adaptive regulatory frameworks and investment in renewable technologies, which are crucial for achieving long-term emission reduction goals while maintaining economic resilience in the G7.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101631"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.esr.2024.101630
Michael Chuba Okika , Innocent Musonda , Rehema Joseph Monko , Sarah A. Phoya
Tanzania is keen in sustainable development via broad use of renewable energy. Tanzania has adopted renewable energy sources as an essential element of its development programme, demonstrating its unwavering commitment to combating climate change and guaranteeing a better future. Recognising the critical need to decrease its carbon footprint and achieve energy independence. This dynamic transition toward renewables also not only improved Tanzania's energy security but it has also stimulated long-term economic development by creating jobs and increasing rural electrification rates. A wealth of solar resources and great sunlight annually, create a great climate for solar energy generation. Using these diverse resources, Tanzania may minimise its dependency on fossil fuels, reduce environmental damage and attain energy security. Embracing renewable energy also not only meet current energy demands, but will also support long-term development, benefiting the country and its citizens. The aim of the paper was to identify and review the environmental consequences of solar energy, government regulations, solar energy projects, improving energy access, challenges and future possibilities for solar energy and to examine the road map for fully harnessing solar energy to facilitate sustainable development to meet the United Nation's sustainable development goals. The findings showed that solar energy use has expanded moderately but the benefits are not fully utilised yet. Nevertheless, greater efforts should be made to mitigate some challenges like grid connectivity, fully implementing policies and putting structures, resources and technologies in place to fully harness solar energy for green and eco-friendly electricity production and sustainable development in Tanzania.
{"title":"The road map for sustainable development using solar energy electricity generation in Tanzania","authors":"Michael Chuba Okika , Innocent Musonda , Rehema Joseph Monko , Sarah A. Phoya","doi":"10.1016/j.esr.2024.101630","DOIUrl":"10.1016/j.esr.2024.101630","url":null,"abstract":"<div><div>Tanzania is keen in sustainable development via broad use of renewable energy. Tanzania has adopted renewable energy sources as an essential element of its development programme, demonstrating its unwavering commitment to combating climate change and guaranteeing a better future. Recognising the critical need to decrease its carbon footprint and achieve energy independence. This dynamic transition toward renewables also not only improved Tanzania's energy security but it has also stimulated long-term economic development by creating jobs and increasing rural electrification rates. A wealth of solar resources and great sunlight annually, create a great climate for solar energy generation. Using these diverse resources, Tanzania may minimise its dependency on fossil fuels, reduce environmental damage and attain energy security. Embracing renewable energy also not only meet current energy demands, but will also support long-term development, benefiting the country and its citizens. The aim of the paper was to identify and review the environmental consequences of solar energy, government regulations, solar energy projects, improving energy access, challenges and future possibilities for solar energy and to examine the road map for fully harnessing solar energy to facilitate sustainable development to meet the United Nation's sustainable development goals. The findings showed that solar energy use has expanded moderately but the benefits are not fully utilised yet. Nevertheless, greater efforts should be made to mitigate some challenges like grid connectivity, fully implementing policies and putting structures, resources and technologies in place to fully harness solar energy for green and eco-friendly electricity production and sustainable development in Tanzania.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101630"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号