Energy Strategy Reviews最新文献_第3页

Complex links between the energy trilemma dimensions in top 25 energy trilemma performers: The role of the UN plan of action for 2030

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101623

Masoud Shirazi

Humanizing energy, i.e., engaging people and communities with the energy systems, is imperative to consider the societies’ diverse perspectives, needs, and global impacts, which is essential for a balanced growth of energy trilemma (ET). Particularly, the humanizing energy may affect the complex links, e.g., synergy and trade-off, between the ET dimensions, e.g., energy equity, energy security, and environmental sustainability, influencing the policy pathfinding for balanced growth of ET. In this respect, the United Nations plan of action for 2030 especially goal seven, i.e., affordable and clean energy, associates with this purpose. Accordingly, this study addresses the dynamic multi-dimensional assessments to indicate how such agreement affects the complex links between the ET dimensions in the top 25 ET-performing countries, which are also recognized as leaders across the energy transition index. To do this, three analytical methods, e.g., the Markov switching regimes, spillover effects, and advanced sustainability analysis, are applied. The results show that complex links between the ET dimensions are time-varying and asymmetric pre- and post-the 2030 Agenda. Specifically, the Markov regime-switching analysis reveals that a dynamic combination of synergies and trade-offs can lead to a balanced growth of ET in response to the 2030 commitments under different regimes. Then, the spillover effects exhibit that the intensity and mode of synergy/trade-off throughout the short-term fluctuations of ET networks are affected by the 2030 commitments, which require supervising risk transmission management and regulations towards a balanced growth of ET. Last, the advanced sustainability analysis discloses causality between the ET dimensions through synergy, trade-off, or D-linking by different countries in response to the 2030 commitments. Consequently, combining these three applied methods serves actionable policy implications that can be instrumental in formulating strategies of humanizing energy towards a balanced growth of ET in top energy trilemma performers and potentially other analogous settings globally. These strategies should focus on connections between the “5 Ds”, e.g., decarbonization, digitalization, decentralization, disruption, and diversification, which navigate the uncertainties and complexities energy leaders face.

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引用次数: 0

Review on energy governance and demand security in oil-rich countries

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101625

Amir Mohammad Moghani, Reyhaneh Loni

Energy plays a critical role in the economic advancement of nations. The reliance of oil-rich countries on energy revenues underscores the importance of ensuring the security of this vital resource. Safeguarding the security of energy resources is a top priority for the national security of the producing countries. The current geopolitical landscape is heavily influenced by energy considerations, making energy governance a key factor in enhancing national security. This review paper aims to discuss and present the role of energy governance impacts on the national security of oil-rich countries based on energy governance literature. The scientific publications selected to be studied are from 2010 to 2024. The findings suggest that effective energy governance plays a crucial role in enhancing the national security of countries abundant in oil resources. It is imperative to tailor energy governance to bolster national resilience in the energy sector, given the interconnectedness of energy governance, energy security, and national security. As such, pivotal aspects of energy governance encompass revenues and resources management, stakeholder participation, global politics and international relations, and the culture and value of societies.

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引用次数: 0

Load frequency control progress: A comprehensive review on recent development and challenges of modern power systems

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101604

Muhammad Majid Gulzar , Daud Sibtain , Mohammed Alqahtani , Fahad Alismail , Muhammad Khalid

This research strives to examine the advancements in load frequency control (LFC) and identify the future trajectory for interconnected multi-area power systems (IMAPSs). The primary aim of LFC is to diminish frequency instabilities in order to attain a satisfactory performance by ensuring the stability of IMAPSs. A comprehensive view has been conducted, encompassing initial classical control methods as well as newer technologies and modern methodologies. The paper also examines different control strategies, robustness and adaptive property of the controllers for LFC in IMAPSs. The analysis includes an examination of fuzzy control and both previous and modern optimization strategies. This evaluation focuses on the modern technology advancements and advanced control tactics. The performance evaluation of the control strategies is evaluated by the incorporating renewable energy sources (RESs), electric vehicles, and storage devices. The analysis also includes the application of machine learning approach and reinforcement methods for LFC. Moreover, the smart grid is an inevitable field for the researchers; therefore, this study explores the LFC problem in smart grids and the complex structure of power systems, specifically focusing on challenges related to restricted communication bandwidth, fault scenarios in communication, and cyber-attacks. This article offers a comprehensive and meticulous analysis of the difficulties linked to LFC in contemporary and intricate power systems. Researchers and professionals interested in LFC may benefit from this work. This study thoroughly examines future strategies and approaches to improve the performance, stability, and reliability of LFC in response to growing complexity and unpredictability.

{"title":"Load frequency control progress: A comprehensive review on recent development and challenges of modern power systems","authors":"Muhammad Majid Gulzar , Daud Sibtain , Mohammed Alqahtani , Fahad Alismail , Muhammad Khalid","doi":"10.1016/j.esr.2024.101604","DOIUrl":"10.1016/j.esr.2024.101604","url":null,"abstract":"<div><div>This research strives to examine the advancements in load frequency control (LFC) and identify the future trajectory for interconnected multi-area power systems (IMAPSs). The primary aim of LFC is to diminish frequency instabilities in order to attain a satisfactory performance by ensuring the stability of IMAPSs. A comprehensive view has been conducted, encompassing initial classical control methods as well as newer technologies and modern methodologies. The paper also examines different control strategies, robustness and adaptive property of the controllers for LFC in IMAPSs. The analysis includes an examination of fuzzy control and both previous and modern optimization strategies. This evaluation focuses on the modern technology advancements and advanced control tactics. The performance evaluation of the control strategies is evaluated by the incorporating renewable energy sources (RESs), electric vehicles, and storage devices. The analysis also includes the application of machine learning approach and reinforcement methods for LFC. Moreover, the smart grid is an inevitable field for the researchers; therefore, this study explores the LFC problem in smart grids and the complex structure of power systems, specifically focusing on challenges related to restricted communication bandwidth, fault scenarios in communication, and cyber-attacks. This article offers a comprehensive and meticulous analysis of the difficulties linked to LFC in contemporary and intricate power systems. Researchers and professionals interested in LFC may benefit from this work. This study thoroughly examines future strategies and approaches to improve the performance, stability, and reliability of LFC in response to growing complexity and unpredictability.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101604"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151905","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 global progress towards Sustainable Development Goal 7 over space and time by a more comprehensive energy sustainability index

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101626

Qi Zhao , Xi Lu , Rachael Marie Fleming

Quantifying progress towards achieving the 7th Sustainable Development Goal (SDG7) is essential for tracking global efforts on sustainable energy transition as well as guiding policy development. However, there is a lack of comprehensive assessment frameworks with consideration of temporal-and-regional dynamics. Targeting this research gap, we developed an Energy Sustainability Index (ESI) with 5 dimensions and 12 indicators to measure the progress of SDG7 in 140 countries around the world from 2011 to 2020, with a particular emphasis on its geographical inequality. Results show that while the global average ESI score has increased by 6.7 % from 2011 to 2020, this growth was largely dependent on the rapid development of a few emerging economies, with the growth rate in the rest of the world still lagging. In addition, most of the regions have failed to balance development across the 5 dimensions of the ESI, causing a regression in some dimensions, notably energy reliability. Analysis of inter-population inequality shows that although global inequality in energy development declined by 14.3 % in the period of 2011–2020, the extreme low scores of the Least-Developed Countries (LDCs) remained virtually unchanged, implying that energy development in LDCs needs more attention. This study provides a new paradigm for further exploration in the spatial and temporal characteristics of energy sustainability and highlights the urgency of promoting SDG7 globally in a holistic and synergistic approach.

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引用次数: 0

The health impacts of renewable energy consumption in sub-Saharan Africa: A machine learning perspective

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101621

Mwoya Byaro , Anicet Rwezaula

Recently, countries in sub-Saharan Africa (SSA) have shown increasing interest in transitioning to renewable energy due to climate change. However, the health impacts of renewable energy use are not thoroughly studied in the African context. This study investigates the impacts of renewable energy use on health outcomes, including life expectancy, maternal, and under-five mortality, in 26 SSA countries selected during the period 2000 to 2022. The main contribution of our study is the use of novel machine learning techniques known as Kernel-based Regularized Least Squares (KRLS) to fill gaps in the existing literature. Our study controlled for health expenditure, income, carbon dioxide (CO₂) emissions, and tuberculosis cases. The findings show that (i) renewable energy use significantly improves health outcomes in SSA, including increased life expectancy and reduced maternal and under-five mortality; (ii) carbon dioxide (CO₂) emissions and tuberculosis incidence have negative impacts on health outcomes, leading to decreased life expectancy and increased maternal and under-five mortality rates; (iii) the impact of renewable energy use on life expectancy and maternal mortality is nonlinear at the 25th and 75th percentiles, respectively. The study discusses potential pathways through which renewable energy use impacts health outcomes. The practical policy implication is that African governments and their collaborative partners adopt and implement renewable energy policies and programs, linking them to national health policies, development plans, and budget cycles to improve public health in the region.

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引用次数: 0

The energy-food nexus: Exploring the effects of biofuel policy on crude oil and corn market connectivity

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101607

Jin Guo , Tetsuji Tanaka , Xiufang Wang

The rapid growth of US ethanol production, driven by the Energy Policy Act of 2005 and the Energy Independence and Security Act of 2007, has raised questions about intensifying price linkages between energy and food markets. This is based on the premise that higher crude oil prices incentivize ethanol producers to increase production, thereby boosting corn demand. This study explores the impact of biofuel policies by testing the hypothesis that increased U.S. ethanol production has strengthened these linkages. Previous literature overlooked the fact that both fuel and food goods tend to move together with the commodity price index, which can often change in response to interest rates, monetary supply, or the U.S. dollar index. To overcome this deficiency, we filter out the 'noises' from the commodity price index by controlling for the index with the partial wavelet transform and present more accurate relationships between crude oil and corn prices. Our primary finding reveals significant mid- and long-term correlations between crude oil and corn prices from 2007. This suggests that U.S. biofuel policies could strengthen the connectivity between crude oil and corn prices.

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引用次数: 0

Agent-based modeling: Insights into consumer behavior, urban dynamics, grid management, and market interactions

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101613

Sambeet Mishra , Thiago Lima Silva , Lars Hellemo , Stefan Jaehnert , Lars Even Egner , Sobah Abbas Petersen , Tim Signer , Florian Zimmermann , Chiara Bordin

A future sustainable energy system is expected to be digital, de-central, de-carbonized, and democratized. As the transition unfolds, new and diverse actors of various sizes will emerge in different segments. Thereby, the future energy system could shift its attention to the actors’ behavior than finding an optimum based on the physical system. Agent based modeling tools can reflect decisions from several actors in a decentralized and digital market setting. Then, such tools can enable a sustainable energy transition.

This work sets out to investigate how agent-based models could tackle various challenges in energy transition. This investigation covers four segments of the energy system — consumer, city, microgrid, and market. It starts with the consumer where consumer behavior is modeled. From there, expands to a city level where the dynamic characteristics of a city are simulated. The next step is distributed microgrids, particularly how to optimally plan the grid expansions. The final step in the investigation is simulating an energy market with national and international stakeholders. The selection of models presents how agent-based models can be applied to decision-making processes in the aforementioned segments. Then a novel framework with metrics for characterization is proposed and validated that addresses the challenge — which are the characteristics that make an agent-based model a better fit to tackle a modeling objective? Additionally, the framework identifies the existing knowledge gaps and the scope for further developments.

In summary, this work outlines how far agent-based models have come to tackle energy system challenges to sustain the energy transition. This work specifically highlights the scope, advantages, challenges, and trends of the agent-based models in energy sector applications. Moreover, this study finds that agent-based models reflect what a solution could be more than the traditional modeling practice that focuses on what a solution should be.

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引用次数: 0

Energy consumption prediction for households in a society with an ageing population

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101622

Yan Zou , Chen Wang , Hina Najam , Abdelmohsen A. Nassani , Gozal Djuraeva , David Oscar

Social aging significantly impacts household energy consumption patterns and demand, particularly in megacities like Shanghai. This study addresses the gap in understanding high-frequency impacts of aging on energy use by employing advanced machine learning techniques. Using Gaussian Mixture Models (GMM) and Finite Mixture Models (FMM), we analyze high-frequency hourly energy consumption data from 14,000 households in Shanghai (2016–2023) to identify distinct consumption patterns and their relationship with household characteristics. The study also simulates future scenarios incorporating demographic aging and income growth. The results reveal that an aging society not only increases overall energy demand but also significantly alters hourly consumption patterns, amplifying disparities between peak and non-peak hours. These shifts, compounded by income growth, highlight the need for tailored energy policies addressing demographic transitions. This research contributes to sustainable energy planning by providing actionable insights into the intersection of aging demographics, economic development, and urban energy consumption. The findings align with the United Nations Sustainable Development Goals (SDGs) by promoting efficient and inclusive energy strategies.

{"title":"Energy consumption prediction for households in a society with an ageing population","authors":"Yan Zou , Chen Wang , Hina Najam , Abdelmohsen A. Nassani , Gozal Djuraeva , David Oscar","doi":"10.1016/j.esr.2024.101622","DOIUrl":"10.1016/j.esr.2024.101622","url":null,"abstract":"<div><div>Social aging significantly impacts household energy consumption patterns and demand, particularly in megacities like Shanghai. This study addresses the gap in understanding high-frequency impacts of aging on energy use by employing advanced machine learning techniques. Using Gaussian Mixture Models (GMM) and Finite Mixture Models (FMM), we analyze high-frequency hourly energy consumption data from 14,000 households in Shanghai (2016–2023) to identify distinct consumption patterns and their relationship with household characteristics. The study also simulates future scenarios incorporating demographic aging and income growth. The results reveal that an aging society not only increases overall energy demand but also significantly alters hourly consumption patterns, amplifying disparities between peak and non-peak hours. These shifts, compounded by income growth, highlight the need for tailored energy policies addressing demographic transitions. This research contributes to sustainable energy planning by providing actionable insights into the intersection of aging demographics, economic development, and urban energy consumption. The findings align with the United Nations Sustainable Development Goals (SDGs) by promoting efficient and inclusive energy strategies.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"57 ","pages":"Article 101622"},"PeriodicalIF":7.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152385","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

Evaluation of spatial clustering methods for regionalisation of hydrogen ecosystems

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101627

Friedrich Mendler , Barbara Koch , Björn Meißner , Christopher Voglstätter , Tom Smolinka

Spatially resolved modelling of local hydrogen ecosystems can help to identify optimal sizing and locations for plants and infrastructure along the value chain. Spatial clustering to identify the subregions can lead to a better representation of important features compared to administrative units or uniform grids. Several algorithms are available for regionalisation, but an evaluation of their suitability for hydrogen ecosystems or similar applications is missing in the literature. This paper presents a holistic evaluation of different spatial algorithms based on existing and newly developed statistical indicators. Although the best algorithm depends on the focus of the regionalisation process, the method REDCAP proved to be the best overall, especially with higher intra-cluster homogeneity compared to the widely used k-means algorithm. The developed indicators and their evaluation regarding different objectives are seen to be transferable to other clustering and regionalisation applications, like energy system analysis or general supply chain analysis.

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引用次数: 0

Does income growth affect renewable energy or carbon emissions first? A Fourier-based analysis for renewable and fossil energies

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-01-01 DOI: 10.1016/j.esr.2024.101615

Ugur Korkut Pata , Umit Bulut , Daniel Balsalobre-Lorente , Jana Chovancová

Environmental issues and global warming continue to drive researchers to investigate the validity of hypotheses regarding the environment. The environmental Kuznets curve (EKC) is the most popular hypothesis in the environmental economics, prompting researchers to propose a new hypothesis based on it. In this framework, the renewable energy Kuznets curve (RKC) hypothesis was proposed as a prerequisite for the EKC. According to the RKC, at the beginning of the economic growth process, an economy tends to use fossil fuels and reduce the use of renewable energy (RE) because fossil fuels are cheap. Then, as economic growth process continues and income reaches a threshold/turning point, the economy begins to rely more on RE sources. Such RE use indicates a U-shaped association between income and RE (the RKC hypothesis). Based on this information, the study compares the validity of EKC and RKC for the United States (USA) and aims to answer the question of whether the increase in per capita income initially increases RE or decreases carbon emissions. To test and compare the EKC and the RKC simultaneously and to capture smooth structural shifts, this paper uses time series techniques based on the Fourier method from 1973 to 2022. This paper presents results that support the validity of RKC and EKC. The outcomes also illustrate that the turning point of income is lower for the RKC hypothesis than for the EKC model. This suggests that the RKC hypothesis is a prerequisite for the EKC hypothesis. In other words, a higher income first helps in the deployment of renewable energies and then in the reduction of carbon emissions.

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引用次数: 0