Energy Strategy Reviews最新文献_第7页

Survey of technologies, techniques, and applications for big data analytics in smart energy hub 智能能源枢纽中大数据分析的技术、工艺和应用调查

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101582

Magda I. El-Afifi , Bishoy E. Sedhom , Abdelfattah A. Eladl , Sanjeevikumar Padmanaban

The combination of energy hubs with advanced information and communication technology has resulted in the creation of an intelligent system referred to as a smart energy hub (SEH). The implementation of the SEH has facilitated the enhancement of the entire energy distribution system by enabling a two-way exchange of energy and information between utility providers and consumers. This has resulted in a system that is secure, efficient, and dependable. The significance and visibility of big data in the SEH are evident as a result of the growing accumulation of data quantities. A wide range of equipment and software work together to collect and use energy data. This includes tools used by both energy providers and customers, like smart meters, software for billing, and various monitoring and control systems. Additionally, sensors, computers, and communication networks play a crucial role in collecting and transmitting this data across the energy grid. Hence, big data plays a crucial role in the development of an enhanced SEH. This paper presents an introduction to the notion of SEH and its associated concepts, as well as the function of big data in the context of SEH. It also discusses the obstacles that big data encounters in the SEH domain and explores the potential opportunities that big data offers for SEH.

能源枢纽与先进的信息和通信技术相结合，形成了一个被称为智能能源枢纽（SEH）的智能系统。智能能源枢纽的实施促进了公用事业供应商和消费者之间能源和信息的双向交流，从而改善了整个能源分配系统。这样就形成了一个安全、高效和可靠的系统。随着数据量的不断积累，大数据在 SEH 中的重要性和可见性不言而喻。各种设备和软件共同收集和使用能源数据。这包括能源供应商和客户使用的工具，如智能电表、计费软件以及各种监测和控制系统。此外，传感器、计算机和通信网络在能源网中收集和传输这些数据方面也发挥着至关重要的作用。因此，大数据在开发增强型 SEH 方面发挥着至关重要的作用。本文介绍了 SEH 概念及其相关概念，以及大数据在 SEH 中的作用。本文还讨论了大数据在 SEH 领域遇到的障碍，并探讨了大数据为 SEH 带来的潜在机遇。

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引用次数: 0

An analysis of the rebound impact of energy consumption and the factors that influence it in China's agricultural productivity 能耗反弹对中国农业生产率的影响及因素分析

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101585

Yanyan Yin , Fatima Gulzar , Zokir Mamadiyarov , Assilova Aizhan , Ravi Shankar Yadav , Chang Chen

With China's agricultural sector being a major contributor to both the national economy and energy consumption, the rebound effect—the phenomenon where energy efficiency improvements lead to increased energy use—poses significant challenges to sustainable energy use. The motivation for this study stems from the need to understand the extent of this rebound impact and its underlying drivers, particularly in the context of China's agricultural modernization efforts. This study examines the rebound effect of energy consumption in China's agricultural productivity and the factors influencing it over the period from 1990 to 2023. Using a Generalized Method of Moments (GMM) model, this research analyzes the relationship between energy consumption, agricultural productivity, and several influencing factors, including technological innovation, rural-urban migration, and financial development. The results reveal that (1) energy efficiency improvements have led to a significant rebound effect in China's agricultural sector, limiting potential energy savings, (2) technological advancements have mitigated the rebound effect to some extent, but the effect remains substantial, (3) rural-urban migration has contributed to labor shortages, increasing mechanization and energy demand, and (4) financial development has positively influenced both agricultural productivity and energy use, exacerbating the rebound effect. The study suggests that policymakers should focus on developing stricter energy efficiency standards and promoting technological innovations that reduce energy intensity in agriculture, while also addressing labor migration challenges to curb the rebound impact and achieve more sustainable agricultural growth.

中国的农业部门是国民经济和能源消耗的主要贡献者，反弹效应--能效提高导致能源使用增加的现象--对能源的可持续利用提出了重大挑战。本研究的动机在于需要了解这种反弹影响的程度及其内在驱动因素，尤其是在中国农业现代化努力的背景下。本研究探讨了 1990 年至 2023 年期间能源消耗对中国农业生产率的反弹效应及其影响因素。本研究采用广义矩法（GMM）模型，分析了能源消耗、农业生产率与若干影响因素（包括技术创新、城乡人口迁移和金融发展）之间的关系。研究结果表明：（1）能源效率的提高导致中国农业部门产生了显著的反弹效应，限制了潜在的能源节约；（2）技术进步在一定程度上缓解了反弹效应，但影响仍然很大；（3）农村人口向城市迁移导致劳动力短缺，增加了机械化程度和能源需求；（4）金融发展对农业生产率和能源使用都产生了积极影响，加剧了反弹效应。研究建议，决策者应重点制定更严格的能效标准，促进技术创新，降低农业能源强度，同时解决劳动力迁移难题，以抑制反弹影响，实现更可持续的农业增长。

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引用次数: 0

Avoiding false inter-zonal meshing in the clustering of a large-scale German power grid 在德国大规模电网集群中避免错误的区间网格划分

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101569

Katharina Esterl , Carlos Andrés Epia Realpe , Ulf Philipp Müller

The ongoing transformation towards a sector-coupled energy system based on renewable generation leads to more complex grid-based energy system models. It is a crucial task to reduce the models’ complexities in order to keep optimisation problems tractable while at the same time generating appropriate results. This work adds a Dijkstra’s algorithm to a commonly used k-means Clustering method to reduce the spatial complexity of a German transmission and sub-transmission grid model. The novel approach leads to more accurate results while reaching faster calculation times. In particular, it successfully avoids false inter-zonal meshing. Consequently, the more accurate modelling of inter-cluster connections results in up to 41% higher grid expansion needs and significantly changed spatial allocations of network and storage expansion. Where geographical or political borders (e.g. the former inner-German border) have led to scarcely interconnected grid topologies (especially on the sub-transmission grid level), the impact is particularly high. The presented work follows open-source and open-data principles.

目前正在向基于可再生能源发电的部门耦合能源系统转变，这导致基于电网的能源系统模型变得更加复杂。如何降低模型的复杂性，以保持优化问题的可操作性，同时产生适当的结果，是一项至关重要的任务。这项工作将 Dijkstra 算法添加到常用的 k-means 聚类方法中，以降低德国输电和分输电网模型的空间复杂性。这种新方法可获得更精确的结果，同时缩短计算时间。特别是，它成功地避免了错误的区间网格划分。因此，更精确的集群间连接建模可使电网扩容需求增加 41%，并显著改变电网和储能扩容的空间分配。在地理或政治边界（如前内德边界）导致电网拓扑（尤其是在次输电网层面）几乎不互联的地方，这种影响尤其严重。本报告遵循开源和开放数据原则。

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引用次数: 0

Energy consumption, technological innovation, and economic growth in BRICS: A GMM panel VAR framework analysis 金砖国家的能源消耗、技术创新和经济增长：GMM 面板 VAR 框架分析

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101587

Muhammad Khalid Anser , Sajid Ali , Muhammad Umair , Rubab Javid , Sanjar Mirzaliev

The growing interdependence between environmental resources, financial development, technological advancements, and energy consumption poses significant challenges for sustainable growth in emerging economies. This study investigates these dynamics in the BRICS nations (Brazil, Russia, India, China, and South Africa) from 1990 to 2023 using the GMM panel VAR framework, with the aim of understanding how these factors interact and shape economic outcomes. The analysis shows that environmental rents positively impact financial growth, countering the traditional "resource curse" belief. Technological innovation is negatively linked to both economic growth and environmental sustainability, while energy consumption is positively correlated with economic growth and exhibits a weak correlation with the environment. Furthermore, primary energy consumption is strongly connected to resource utilization and financial growth, although technological advancements negatively affect this relationship. Causality tests reveal mutual influences between energy consumption and technological innovation, alongside unidirectional effects of natural resources on financial and technological growth. Policy implications underscore the need for BRICS nations to balance resource management and technological progress to foster sustainable economic and environmental development.

环境资源、金融发展、技术进步和能源消耗之间日益相互依存，给新兴经济体的可持续增长带来了重大挑战。本研究利用 GMM 面板 VAR 框架研究了金砖国家（巴西、俄罗斯、印度、中国和南非）从 1990 年到 2023 年的这些动态变化，旨在了解这些因素如何相互作用并影响经济结果。分析表明，环境租金对金融增长有积极影响，这与传统的 "资源诅咒 "观点相反。技术创新与经济增长和环境可持续性都呈负相关，而能源消耗与经济增长呈正相关，与环境的相关性较弱。此外，一次能源消耗量与资源利用率和财政增长密切相关，尽管技术进步对这种关系产生了负面影响。因果检验显示，能源消耗与技术创新之间存在相互影响，自然资源对金融和技术增长也存在单向影响。政策影响强调金砖国家需要平衡资源管理和技术进步，以促进经济和环境的可持续发展。

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引用次数: 0

Carbon footprint valuation of Bangladesh transportation under environmental regulations 环境法规下的孟加拉国运输碳足迹评估

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101576

Guangwei Zhang, Muhammad Yousaf Raza, Li Dong-sheng

The study detects and analyzes the driving factors underlying the CO₂ emission variations in the transport sector of Bangladesh, including the carbon coefficient, fossil fuel ratio, energy use per unit turnover, turnover per unit of transport value-added, and value-added of transport from 2003 to 2021. The objective is to analyze the transportation (i.e., land, water and air) factor's effects under the logarithmic mean Divisia index, Tapio index, CO₂ mitigation potential methods, and their decouplings. The results show that: (i) value-added was the main CO₂ driving factor, while CO₂ coefficient, fuel substitution, energy use, and turnover value mitigated CO₂ emissions. (ii) Land and water transport seemed to be the main CO₂ producers and meaningfully contributed to the economy. (iii) Only two decoupling states─weak decoupling and strong decoupling appeared, in which economic growth was the significant turn towards the best state. (iv) Sub-transportation presented significant and strong decouplings in the maximum intervals. (iv) The carbon mitigation rate was observed at 0.26 % during the period in which the economic structural factor was the main factor contributing to declining CO₂ emissions. Finally, the study proposes frameworks that will support policymakers in estimating energy and technological policies for climate and economic sustainability.

本研究发现并分析了孟加拉国运输部门二氧化碳排放量变化的驱动因素，包括 2003 年至 2021 年期间的碳系数、化石燃料比率、单位营业额能源使用量、单位运输增值营业额和运输增值。目的是分析迪维西亚指数对数平均值、塔皮奥指数、二氧化碳减排潜力方法及其解耦作用下的交通（即陆路、水路和航空）因素的影响。结果表明(i) 附加值是主要的二氧化碳驱动因素，而二氧化碳系数、燃料替代、能源使用和营业额则可减轻二氧化碳排放。(ii) 陆路和水路运输似乎是主要的二氧化碳产生者，并对经济做出了有意义的贡献。(iii) 只出现了两种脱钩状态--弱脱钩和强脱钩，其中经济增长是向最佳状态的重要转折。(iv) 在最大区间内，次级运输出现了明显的强脱钩。(iv) 在经济结构因素成为二氧化碳排放量下降的主要因素期间，碳减排率为 0.26%。最后，本研究提出了一些框架，这些框架将支持政策制定者估算能源和技术政策，以实现气候和经济的可持续性。

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引用次数: 0

The role of energy management technologies for cyber resilient smart homes in sustainable urban development

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101602

Um-e-Habiba , Ijaz Ahmed , Mohammed Alqahtani , Muhammad Asif , Muhammad Khalid

Technology is essential in creating sustainable cities. Home automation is a branch of Internet of Things (IoT)-based automation, enhancing our lifestyle by automating everyday tasks. People are currently incorporating this concept to create intelligent cities. Smart home (SH) automation has employed a variety of methods and procedures. In order to optimize the system’s performance, it is crucial to gain a thorough understanding of it. This study investigates into the ways that the implementation of SH automation can aid in the development of sustainable cities by examining various approaches. This study examines into the ways in which technology can tackle the technical hurdles of handling large volumes of data and improving a city’s overall efficiency. Furthermore, the review explores innovative technological concepts that have the potential to enhance the intelligence of cities. These findings offer valuable insights for policymakers, legislators, academic scholars, and technologists in shaping future research directions and enhancing these technologies for the betterment of humanity and the development of sustainability.

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引用次数: 0

China's energy strategy: A comprehensive analysis of economic, social, planning, and environmental impacts

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101572

Shijiao Zhao , Xinwen Zhang , Muhammad Kamran

Researching the long-term effects of technology on ecological sustainability and economic growth is a hot topic. Recently published studies clarify the complex interplay between financial elements, climate technology, green energy, and other technical advances exacerbating China's dire environmental situation. This extensive study highlights the complex nature of these elements by shedding light on their direct and indirect effects on the environment. It uses the A.R.D.L model and covers the years 1992–2024. The research shows that financial inclusion influences environmental degradation in two ways: directly and indirectly. This is because it is linked to green energy. The study confirms what many have suspected, directly and indirectly, is that green energy contributes to environmental degradation through its interactions with climate technologies. The study found that climate technology in China might unintentionally harm environmental quality, even though the developers have good intentions, revealing that economic expansion initially worsens environmental deterioration before leveling off or even decreasing. Having plans that encourage sustainable development without compromising ecological protections is crucial, as shown by the outcomes. In addition to demonstrating the strong correlation between technological advancement and environmental consequences, the study's Granger causality test uncovered a virtuous cycle wherein monetary gains lead to ecological degradation.

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引用次数: 0

Gender and authorship in energy studies: Is there an impact? 能源研究中的性别与作者身份：有影响吗？

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101581

Péter Vakhal , Kateryna Yakovenko , Matúš Mišík , Veronika Oravcová , Raffaele Mattera

Although gender inequality has been examined and debated as one of the most prominent challenges within the scientific community, relatively little attention has been paid to gender differences with regard to authorship. The aim of this paper is to identify whether gender differences exist with respect to the impact factors of the journals in which male and female authors publish their research. Existing studies use machine-assisted tools to determine author gender. Given the limitations of this type of approach to data collection and coding, we opted for a manual approach that ensured both the inclusion of a high number of journals and greater precision in determining author gender. This paper focuses on authors who published articles on a concrete area of research (energy) in a specific region (Central and Eastern Europe) over a 14-year period (2004–2017). Our study identified a gender bias within energy-related research: male authors (or male-dominated teams) publish more often and on average in journals with higher impact factors than female authors.

尽管性别不平等已作为科学界最突出的挑战之一受到研究和讨论，但人们对作者身份方面的性别差异关注相对较少。本文旨在确定男女作者发表研究成果的期刊影响因子是否存在性别差异。现有研究使用机器辅助工具来确定作者性别。鉴于这种数据收集和编码方法的局限性，我们选择了人工方法，这样既能确保纳入大量期刊，又能更精确地确定作者性别。本文重点关注在 14 年内（2004-2017 年）在特定地区（中东欧）发表具体研究领域（能源）文章的作者。我们的研究发现了能源相关研究中的性别偏见：与女性作者相比，男性作者（或男性主导的团队）在影响因子更高的期刊上发表文章的频率更高，平均影响因子也更高。

引用次数: 0

Effects of different renewable electricity diffusion paths and restricted european cooperation on Europe's hydrogen supply 不同的可再生能源电力传播途径和受限的欧洲合作对欧洲氢气供应的影响

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101589

Benjamin Lux , Miriam Frömel , Gustav Resch , Florian Hasengst , Frank Sensfuß

Today, most hydrogen production is based on natural gas and occurs locally at the demand sites. However, according to many studies, hydrogen generation will shift to greenhouse gas (GHG)-neutral sources and supply, substantially increasing demands to meet ambitious climate protection targets in the European Union. Therefore, the model-based analysis in this paper addresses where hydrogen will come from in a GHG-neutral target system. A scenario study examines different expansion paths of renewable energy generation technologies and variations in European cooperation regarding energy trading. The model results show that a domestic European hydrogen supply strategy is cost-efficient. This result is robust even with higher self-sufficiency shares of individual countries. However, delayed or restricted expansions of renewable electricity generation technologies lead to increased hydrogen demands for power generation and increased pipeline-bound hydrogen imports in winter from the Middle East and North Africa in the model results. Furthermore, scenarios with higher photovoltaic shares exhibit increased demand for hydrogen storage for seasonal energy supply and demand balancing and increased hydrogen demands for power generation. A cost-efficient hydrogen supply strategy should, therefore, particularly focus on the expansion of onshore wind energy and hydrogen supply technologies in Europe and strengthen European cooperation for energy supply infrastructures.

目前，大多数氢气生产都以天然气为基础，并在需求地本地进行。然而，根据许多研究，氢气生产将转向温室气体（GHG）中性来源和供应，从而大幅增加需求，以满足欧盟雄心勃勃的气候保护目标。因此，本文基于模型的分析探讨了氢气在温室气体中性目标系统中的来源。一项情景研究考察了可再生能源发电技术的不同扩展路径以及欧洲在能源交易方面的合作变化。模型结果表明，欧洲国内氢供应战略具有成本效益。即使个别国家的自给率较高，这一结果也是稳健的。然而，在模型结果中，可再生能源发电技术的延迟或限制性扩展导致发电对氢气的需求增加，以及冬季从中东和北非进口的管道氢气增加。此外，在光伏发电比例较高的情况下，为平衡季节性能源供需，对氢气储存的需求会增加，发电对氢气的需求也会增加。因此，具有成本效益的氢供应战略应特别注重在欧洲扩大陆上风能和氢供应技术，并加强欧洲在能源供应基础设施方面的合作。

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引用次数: 0

The impact of economic policy uncertainty, renewable energy adoption, and eco-innovation on sectoral CO₂ emissions in the United States 美国经济政策的不确定性、可再生能源的采用以及生态创新对部门二氧化碳排放量的影响

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2024-11-01 DOI: 10.1016/j.esr.2024.101593

Peng Zhang , Yuye Xiao , Shah zaib , Nasir khan

In 2022, emitting 4.8 billion metric tonnes of carbon dioxide (CO2), the United States ranked as the global second-biggest polluter. In order to address this, the US has set a specific target of reducing net carbon dioxide emissions by 50–52 % from the peak of 2006 by 2030. For this reason, identifying the most important elements that will help achieve the SDGs is of the utmost importance. This study looked at how the relationships between green energy transitions (ET), ecological innovation (EI), economic policy uncertainty (EPU), energy consumption (EU), economic growth (EG), and sectoral CO₂ emissions changed from 1982 to 2022. It used advanced Quantile-on-Quantile Regression (QQR) and Quantiles Granger Causality test (QGC). The result highlights a positive correlation between overall sectoral CO2 quantiles and ET quantiles. In the lowest to upper quantiles, EI and sectoral CO2 are slightly positive; however, in the 0.2–0.95 quantiles, the rising slope values demonstrate that EPU affects SCO2. In a similar vein, sectoral CO2 and energy consumption exhibited mixed results across quantiles, while the QQR slope values for sectoral CO2 and economic growth exhibited mixed results throughout quantiles as well. It is crucial to make investments in ET and ecological innovation in order to achieve the Sustainable Development Goals-7 by 2030. This will reduce EPU and ensure that all sectors have access to energy.

2022 年，美国的二氧化碳排放量为 48 亿吨，位居全球第二大污染国。为解决这一问题，美国制定了一个具体目标，即到 2030 年，将二氧化碳净排放量从 2006 年的峰值减少 50-52%。因此，确定有助于实现可持续发展目标的最重要因素至关重要。本研究探讨了从 1982 年到 2022 年，绿色能源转型（ET）、生态创新（EI）、经济政策不确定性（EPU）、能源消耗（EU）、经济增长（EG）和部门二氧化碳排放量之间的关系是如何变化的。研究采用了先进的量化对量化回归（QQR）和量化格兰杰因果检验（QGC）。结果表明，部门二氧化碳总量位数与排放总量位数之间存在正相关关系。在最低至较高的量值范围内，EI 和部门二氧化碳略呈正相关；然而，在 0.2-0.95 量值范围内，斜率值的上升表明 EPU 会影响 SCO2。同样，部门二氧化碳和能源消耗在不同的量化值中表现出不同的结果，而部门二氧化碳和经济增长的 QQR 斜率值在不同的量化值中也表现出不同的结果。为了到 2030 年实现可持续发展目标 7，对环境技术和生态创新进行投资至关重要。这将降低 EPU，并确保所有部门都能获得能源。

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引用次数: 0