Energy Strategy Reviews最新文献_第5页

Renewable energy consumption in Mercosur region: The role of human resources and green innovative technology

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101662

Qiming Yang , Zhou Shen , Xinran Wei , Jiancong Wang

{"title":"Renewable energy consumption in Mercosur region: The role of human resources and green innovative technology","authors":"Qiming Yang , Zhou Shen , Xinran Wei , Jiancong Wang","doi":"10.1016/j.esr.2025.101662","DOIUrl":"10.1016/j.esr.2025.101662","url":null,"abstract":"<div><div>The Mercosur countries which include Argentina, Brazil, Paraguay, Uruguay, and Venezuela have all shown rising interest on renewable energy as the follow. This change is occasioned by the desire to overcome the reliance of energy on fossil-based products and combat the impacts of climate change. The global demands for sustainable development for the countries of the world press on the Mercosur countries to implement policies and strategies that support styles and initiatives to increase the consumption of renewable energy in an effort to enhance green innovation. This study examines renewable energy consumption in Mercosur Region and the role of human resources and green innovative technology. For this purpose, used Panel data of Mercosur countries and applied CS-ARDL model. The study show comparing Short-Term and Long-Term Short-term marginal or negative impacts give way to long-term positive and substantial benefits for a number of variables (such as GDP, government effectiveness, and green innovation). This implies that certain variables, such economic development and green innovation, have a delayed reaction to successfully influencing the dependent variable. Urbanization has a crucial role in promoting outcomes like the use of renewable energy, as shown by its continuously high positive short- and long-term benefits. Given their long-term advantages despite their less pronounced short-term effects, policymakers need to concentrate on promoting green innovation and economic development. Over time, significant gains may be made by enhancing government efficacy and human capital. A strong adjustment mechanism is shown by the substantial error correction term, which guarantees that short-term deviations will eventually converge to a stable long-term connection.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101662"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552839","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}

引用次数: 0

On cutting coal dependency for establishing a cleaner energy mix: A proposal for energy transition strategy in South Africa

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101694

Sinan Erdogan , Ugur Korkut Pata , Andrew Adewale Alola , Chukwuemeka Echebiri

{"title":"On cutting coal dependency for establishing a cleaner energy mix: A proposal for energy transition strategy in South Africa","authors":"Sinan Erdogan , Ugur Korkut Pata , Andrew Adewale Alola , Chukwuemeka Echebiri","doi":"10.1016/j.esr.2025.101694","DOIUrl":"10.1016/j.esr.2025.101694","url":null,"abstract":"<div><div>Although coal has powered economic activities for decades and significantly contributed to increasing economic welfare at the global level, its place in the modern economic system remained controversial because of its environmental impacts. Thus, cutting coal utilization and dependency on this energy source posits a great environmental benefit. With is motivation, the primary motivation of this study is to investigate the role of possible cleaner energy alternatives in cutting coal dependence in South Africa, which is prevalently utilizing coal in energy. To this end, the study employs Fully Modified Ordinary Least Squares (FMOLS) as a baseline estimator and Canonical Regression (CCR) as a robustness check from 1984 to 2022. The obtained outcomes denote that (i) an inverted U-shaped nexus exists between economic growth and coal utilization in some models. (ii) Renewable and hydro energy use has a negative and statistically significant impact on coal use, while nuclear energy and natural gas have no statistically significant impact. (iii) Population density spurs coal utilization. (iv) Robustness checks imply that empirical outcomes are substantially robust. In this regard, South Africa could reduce the demand for coal with renewable and hydro energy sources.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101694"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611697","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}

引用次数: 0

Developing a regulatory framework for multiple participation in energy communities: Insights from Austria

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101672

Lia Gruber, Thomas Klatzer, Sonja Wogrin

{"title":"Developing a regulatory framework for multiple participation in energy communities: Insights from Austria","authors":"Lia Gruber, Thomas Klatzer, Sonja Wogrin","doi":"10.1016/j.esr.2025.101672","DOIUrl":"10.1016/j.esr.2025.101672","url":null,"abstract":"<div><div>For completing the energy transition, ordinary citizens have to be able to participate. This can be achieved with energy communities (ECs), which are getting implemented in EU member states. However, some of these legislations do not account for the possible challenges of implementing ECs. One example is Austrian law, which - in an attempt to take citizen involvement one step further - allows for simultaneous participation in multiple ECs. However, the law does not state how energy should be allocated among the members of these ECs, which opens the door to ambiguities that could lead to difficulties in energy allocation among ECs. The aim of this paper is to demonstrate the study that closed this regulation gap by analyzing different methods of energy allocation in ECs with multiple participation. Four algorithms are developed and tested on solvability, complexity, comprehensibility, fairness and predictability. Only one algorithm has proven successful in all categories: the preference coefficient. Here, a preprocessing stage is included, in which each member must declare what percentage of consumption/generation goes to the multiple ECs in which they participate. Therefore, energy allocation in all ECs may be done in parallel without being dependent on the allocation results of other ECs. Based on the study presented this algorithm was implemented for the regulation of multiple participation in ECs in Austria.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101672"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580547","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}

引用次数: 0

Calculation and Monte Carlo uncertainty analysis of the levelized cost of electricity for different energy power generation in the smart grid under time scales

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101666

Jingxin Xi , Bo Zhang , Yufeng Yang

{"title":"Calculation and Monte Carlo uncertainty analysis of the levelized cost of electricity for different energy power generation in the smart grid under time scales","authors":"Jingxin Xi , Bo Zhang , Yufeng Yang","doi":"10.1016/j.esr.2025.101666","DOIUrl":"10.1016/j.esr.2025.101666","url":null,"abstract":"<div><div>Multiple power systems, encompassing both fossil fuels and renewable energy sources, play a vital role in the supply side of the smart grid. While research on smart grid electricity pricing has predominantly focused on intelligence and forecasting, there is a notable paucity of studies addressing the fundamental pricing principles and long-term cost management strategies for electricity. The aim of this paper is to propose a foundational framework for estimating energy generation costs, focusing on both fossil fuel and renewable energy sources within the context of smart grid electricity pricing. To assess approximate cost changes over time, the study calculates the Levelized Cost of Electricity (LCOE) utilizing Life Cycle Assessment (LCA) and Life Cycle Cost (LCC) methodologies, which account for economic and environmental impacts. The findings indicate that, assuming a 20-year time horizon, the final levelized costs for each type of power plant are as follows: coal power plant at 96 USD/MWh, gas power plant at 111 USD/MWh, nuclear power plant at 86 USD/MWh, hydroelectric power plant at 87 USD/MWh, solar power plant at 71 USD/MWh, and wind power plant at 69 USD/MWh. Furthermore, the analysis uses Monte Carlo analysis to explore uncertainties associated with carbon prices, the Weighted Average Cost of Capital (WACC), capital costs, and raw material prices, which offers a strategic approach for government institutions to implement regulatory policies of the energy power market.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101666"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552889","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}

引用次数: 0

Fostering renewable energy use through smart city construction: The role of National Innovation Systems

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101690

Wei Chen , Hongti Song

{"title":"Fostering renewable energy use through smart city construction: The role of National Innovation Systems","authors":"Wei Chen , Hongti Song","doi":"10.1016/j.esr.2025.101690","DOIUrl":"10.1016/j.esr.2025.101690","url":null,"abstract":"<div><div>In recent years, China has made significant progress in building smart cities and promoting renewable energy. This study examines the impact of smart city construction on renewable energy use, using panel data from 30 Chinese provinces between 2011 and 2022 and employing a panel quantile regression model. The results indicate that smart city construction significantly enhances renewable energy use, particularly in regions with previously low utilization levels. For instance, in the 25th percentile of low utilization regions, smart city construction contributes to an increase of over 12 % in renewable energy usage. Additionally, the National Innovation System (NIS) plays a significant moderating role in the relationship between smart city construction and renewable energy use, fostering technological innovation and policy support. Based on these findings, the paper provides policy recommendations tailored to different regional contexts, emphasizing the strengthening of smart city infrastructure and optimization of the NIS to facilitate energy transition and sustainable development. This study offers empirical evidence for academic research and valuable policy insights for governments and policymakers.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101690"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552890","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}

引用次数: 0

Advanced protection technologies for microgrids: Evolution, challenges, and future trends

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101670

Priya Ranjan Satpathy , Vigna K. Ramachandaramurthy , Sanjeevikumar Padmanaban

{"title":"Advanced protection technologies for microgrids: Evolution, challenges, and future trends","authors":"Priya Ranjan Satpathy , Vigna K. Ramachandaramurthy , Sanjeevikumar Padmanaban","doi":"10.1016/j.esr.2025.101670","DOIUrl":"10.1016/j.esr.2025.101670","url":null,"abstract":"<div><div>This paper delves into the evolution of microgrid protective devices, addressing the critical challenge of ensuring a robust protection system for modern grids. As technology advances and the use of renewable energy sources rises to meet growing demand, the microgrid concept has evolved and integrated with conventional grids. Enhancing reliability and resilience through protective devices is essential for safeguarding systems from faults and disturbances. This paper outlines the migration of protective devices from traditional schemes to modern smart systems, highlighting their adaptation to evolving needs. The paper focuses on developing microgrid protection using digital protection relays, smart sensors, IoT-based protection, artificial intelligence, and machine learning. The review covers various types of microgrids, such as AC and DC, their operating conditions, configurations, and different fault types they encounter concerning diverse protective device paradigms. The paper describes the necessity of new-generation protection devices in continuous development to solve the growing complexity of microgrids successfully. By providing a comprehensive overview of past progressions and future trends in microgrid protection, this paper inspires scientists and researchers, highlighting the potential impact of their work on the ongoing evolution and innovation in this crucial field.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101670"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520079","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}

引用次数: 0

Forecasting of natural gas based on a novel discrete grey seasonal prediction model with a time power term

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101677

Jun Zhang , Chaofeng Shen , Yanping Qin , Jingyi Chen

{"title":"Forecasting of natural gas based on a novel discrete grey seasonal prediction model with a time power term","authors":"Jun Zhang , Chaofeng Shen , Yanping Qin , Jingyi Chen","doi":"10.1016/j.esr.2025.101677","DOIUrl":"10.1016/j.esr.2025.101677","url":null,"abstract":"<div><div>To effectively manage natural gas dispatchability, the energy industry needs to precisely analyze the seasonal trends of natural gas production and consumption. However, most predictive models demand data pretreatment and are labor-intensive. To address this, a novel seasonal discrete grey prediction model with a time power term was developed based on grey modeling theory. This model can identify seasonal characteristics of seasonal time series data without preprocessing thanks to its unique structural parameters. It is unbiased and efficient. Through ablation and the grey wolf optimization technique, its versatility was demonstrated. An empirical analysis of US seasonal natural gas data showed it outperformed 10 other models under five evaluation criteria. Based on the findings, policy suggestions are made. The government should build a better monitoring system, increase investment in prediction research, and formulate smart policies. The energy industry and enterprises need to boost technological innovation investment, conduct R&D (Research and Development) cooperation, and improve the market mechanism. In international cooperation, the government should actively engage in projects to ensure energy supply diversity and promote the internationalization of technologies and standards.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101677"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520078","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}

引用次数: 0

Financing sustainable energy: Cost-benefit analysis of CO2 reduction in China

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-03-01 DOI: 10.1016/j.esr.2025.101667

Yunping Cao , Sanjar Mirzaliev , Fadhila Hamza , Fatima Gulzar , Jing Ming

{"title":"Financing sustainable energy: Cost-benefit analysis of CO2 reduction in China","authors":"Yunping Cao , Sanjar Mirzaliev , Fadhila Hamza , Fatima Gulzar , Jing Ming","doi":"10.1016/j.esr.2025.101667","DOIUrl":"10.1016/j.esr.2025.101667","url":null,"abstract":"<div><div>Financing sustainable energy initiatives is critical to achieving China's ambitious carbon neutrality goals. This study conducts a cost-benefit analysis of CO2 reduction strategies in China over the period 2010–2023, focusing on integrating renewable energy with innovative retrofitting solutions for combined heat and power (CHP) plants. Two key approaches were analyzed: post-syngas combustion of CO2 from sewage waste gasification and hydrogen combustion in gas turbines without byproduct emissions. Numerical modeling and validation demonstrated that post-syngas combustion could reduce CO2 emissions by up to 30 %, while hydrogen combustion achieved near-zero emissions. The integration of renewable energy sources with these retrofitting solutions improved energy efficiency by 15 % and reduced reliance on conventional fossil fuels. Economic analysis highlighted the financial viability of these technologies, projecting cost recovery within a decade for both solutions. These findings provide actionable insights into sustainable energy financing, showcasing the potential of innovative technologies to accelerate China's energy transition and mitigate climate impacts.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101667"},"PeriodicalIF":7.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600882","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}

引用次数: 0

Evaluating the financial benefits of thermal energy storage in energy systems: Building the synergy of energy transition, green finance and renewable energy intensity in China

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-02-25 DOI: 10.1016/j.esr.2025.101652

Yifeng Chen , Lingling Li , Qing Zhang

{"title":"Evaluating the financial benefits of thermal energy storage in energy systems: Building the synergy of energy transition, green finance and renewable energy intensity in China","authors":"Yifeng Chen , Lingling Li , Qing Zhang","doi":"10.1016/j.esr.2025.101652","DOIUrl":"10.1016/j.esr.2025.101652","url":null,"abstract":"<div><div>Thermal energy storage equipped concentrated solar power facilities provide the combined benefits of offering operational flexibility and producing renewable energy. The study examines the synergy nexus of energy transition, green financing and renewable energy intensity in China based on thermal energy financial benefits. For power networks that need help incorporating variable renewable energy resources like wind and solar, CSP is the best solution. Considering its advantages, when looking solely at renewable energy generation, CSP's high initial cost frequently outweighs its benefits. This article examines two facets of the financial advantages of CSP in power networks that have a significant concentration of renewable energy: operational flexibility to support VRE and production of renewable energy. We evaluate the relative financial implications of a network with a significant proportion of VRE to one where some of the VRE production gets substituted by CSP in order to maintain a stable level of renewable energy saturation. A chronological operation simulation has been used in this work to assess the annual production costs of the power network. We estimate the advantages of CSP into two categories: flexibility advantages, which are the reduction in operational expenses from replacing VRE with CSP, and energy advantages, which are the savings from replacing VRE production. There is also a discussion about CSP's break-even investment cost.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101652"},"PeriodicalIF":7.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488590","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}

引用次数: 0

Smart governance and smart urbanization: Digital solutions to alleviate energy poverty in major energy consuming economies

IF 7.9 2区工程技术

Energy Strategy Reviews Pub Date : 2025-02-25 DOI: 10.1016/j.esr.2025.101659

Shengyang Zhong , Leibao Zhang , Beijun Zheng , Asma Arif , Ahmed Usman

{"title":"Smart governance and smart urbanization: Digital solutions to alleviate energy poverty in major energy consuming economies","authors":"Shengyang Zhong , Leibao Zhang , Beijun Zheng , Asma Arif , Ahmed Usman","doi":"10.1016/j.esr.2025.101659","DOIUrl":"10.1016/j.esr.2025.101659","url":null,"abstract":"<div><div>Energy is vital for economic development because it is an input in almost every sector of the economy. For households, it is considered a basic necessity. Given the significance of energy in driving the economies, the issue of energy poverty is a serious concern for policymakers worldwide. Literature suggests that the digitalization of the economy can play a vital role in addressing this concern. However, none of the past studies have investigated how digitalizing the government and urban life can help alleviate energy poverty. This analysis is an effort to plug this gap in the literature. Thus, the primary objective of the analysis is to investigate the impact of smart governance and smart urbanization on energy poverty in 55 major energy-consuming economies from 2003 to 2022. The analysis is the first of its kind to analyze how digital technologies within governance and urban planning frameworks help alleviate energy poverty in major energy-consuming economies. Empirical analysis is performed using the generalized methods of moments (difference and system). The results indicate that smart governance and ICT-based smart urbanization help alleviate energy poverty in the full sample of developed and developing economies. In addition, urbanization and ICT also help to alleviate energy poverty in the full sample of developed and developing economies. On the other hand, GDP increases energy poverty in the case of the full sample and developing economies while alleviating energy poverty in developed economies. The effects of smart governance and smart urbanization are more prominent in developed economies due to their increased reliance on digital technologies. This suggests that policymakers in major energy-consuming economies, particularly developing ones, should increase the role of digital technologies in the government sector and urban lifestyles to alleviate energy poverty.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"58 ","pages":"Article 101659"},"PeriodicalIF":7.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479549","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}

引用次数: 0