Electricity Journal最新文献_第2页

Deep de-carbonization and its implications for regional equity: An Indian case study 深度脱碳及其对区域公平的影响：以印度为例

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-12-01 DOI: 10.1016/j.tej.2025.107519

Rohit Chandra, Sanjay Mitra

India’s ambitious targets call for a deep de-carbonization of the electricity sector through an accelerated deployment of renewable energy and reduced use of coal. This could exacerbate existing regional inequalities, between the states in the west and the south and those in the north and east. While variable renewable energy (VRE) sources namely, solar and wind are concentrated in a few states in the western and southern parts of the country, coal reserves occur mainly in the eastern part of the country which also happens to have the lowest VRE endowments. As the share of VRE in electricity production and consumption rises, these locational characteristics and the dominant role of state ownership in the electricity sector together will play into the finances of the VRE-poor states through higher expenditure on renewable energy and lower revenues from coal mining. This paper presents an assessment of the nature and extent of the fiscal impact of the mitigation policies centred on deep decarbonization of India’s electricity sector through deployment of renewable energy. Specifically, it looks at the impacts on the budget deficits of states with relatively low endowments of solar and wind resources. The impact could be quite substantial, adding 8.66 % to the combined deficits of the VRE-poor states under fairly conservative assumptions. The impact is most severe on the three coal-rich states of Jharkhand, Odisha and Chhattisgarh. Absent an acceptable framework for an equitable sharing of costs and benefits across the states and with the Union government, these developments could impede the realization of the national goals for climate change mitigation.

印度雄心勃勃的目标要求通过加快可再生能源的部署和减少煤炭的使用，实现电力部门的深度脱碳。这可能会加剧西部和南部各州与北部和东部各州之间现有的地区不平等。可变可再生能源（VRE），即太阳能和风能集中在该国西部和南部的几个州，而煤炭储量主要集中在该国东部，而东部恰好也是可变可再生能源禀赋最低的地区。随着VRE在电力生产和消费中所占份额的上升，这些位置特征和国有在电力部门的主导作用，将通过增加可再生能源支出和减少煤炭开采收入，共同影响VRE贫困州的财政状况。本文评估了以通过部署可再生能源实现印度电力部门深度脱碳为中心的减缓政策的财政影响的性质和程度。具体来说，它着眼于对太阳能和风能资源禀赋相对较低的州的预算赤字的影响。影响可能相当大，在相当保守的假设下，vre贫困州的总赤字将增加8.66 %。这对贾坎德邦、奥里萨邦和恰蒂斯加尔邦这三个煤炭资源丰富的邦的影响最为严重。如果没有一个可接受的框架来在各州之间以及与联邦政府公平分担成本和收益，这些事态发展可能会阻碍实现国家减缓气候变化目标。

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引用次数: 0

Flexibility forward: A survey of smart tariffs optimising electric vehicles and heat pumps in Europe 灵活性向前：智能关税的调查优化电动汽车和热泵在欧洲

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-11-19 DOI: 10.1016/j.tej.2025.107520

Jaap Burger , Jan Rosenow

Europe's energy system increasingly requires flexibility to integrate renewables, enhance resilience, and cut costs, with smart electrification of transport and heating offering significant potential. This study surveyed 480 smart tariffs across Europe and found a threefold increase since 2021/2022. The analysis revealed a complex relationship between the availability of smart tariffs and the market penetration of electric vehicles (EVs), heat pumps, and smart metres. High EV adoption strongly correlates with more tariffs, but the relationship with heat pumps and smart metres is less direct. Dynamic pricing prevails in the market, with 304 tariffs, while local grid signals are underused, appearing in just 34 tariffs.

欧洲能源系统越来越需要灵活性，以整合可再生能源、增强弹性和降低成本，交通和供暖的智能电气化提供了巨大的潜力。这项研究调查了欧洲480项智能关税，发现自2021/2022年以来，智能关税增长了三倍。分析显示，智能电价的可用性与电动汽车（ev）、热泵和智能电表的市场渗透率之间存在复杂关系。电动汽车的高采用率与更高的关税密切相关，但与热泵和智能电表的关系不那么直接。动态定价在市场上盛行，有304个资费，而本地电网信号未得到充分利用，仅出现在34个资费中。

引用次数: 0

Risks and hedging avenues for power market participants: A novel framework and application to India 电力市场参与者的风险和对冲途径：一个新的框架及其在印度的应用

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-11-06 DOI: 10.1016/j.tej.2025.107517

Anoop Singh , Gaurav Gupta , Mrudul Shivhare , Shreeyash Nitin Malode , Vikas Sangwan , Madhav Sharma , Rohit Khare

The evolution of India’s power market, driven by rising share of renewable energy and changes in the regulatory and policy environment, has exposed the sector stakeholders to new financial and operational risks. However, a comprehensive framework to systematically identify these risks and map them to effective hedging strategies is lacking. This study addresses this gap by developing and applying the novel Power Market Three-Dimensional Stakeholder Risk Identification and Hedging Avenues (PM-3D-SRIHA) framework. Utilizing a multi-stage methodology involving literature review, stakeholder consultation, and focused expert survey, this research identifies and ranks key risks for seven stakeholder groups. Key findings highlight persistent challenges such as payment risk for distribution companies (Discoms) and fuel supply risk for thermal generators. The study also ranks the most effective hedging avenues, identifying role for prepaid meters, diversified fuel supply, and electricity derivatives to address some of the major risks. The resulting framework provides actionable insights for market participants and offers regulatory and policy recommendations to enhance market stability and financial resilience in India's dynamic power sector.

在可再生能源份额不断上升以及监管和政策环境变化的推动下，印度电力市场的演变使行业利益相关者面临新的财务和运营风险。然而，缺乏一个全面的框架来系统地识别这些风险并将其映射到有效的对冲策略中。本研究通过开发和应用新的电力市场三维利益相关者风险识别和对冲途径（PM-3D-SRIHA）框架来解决这一差距。本研究采用包括文献综述、利益相关者咨询和重点专家调查在内的多阶段方法，确定了七个利益相关者群体的主要风险并对其进行了排名。主要调查结果强调了持续存在的挑战，如分销公司（Discoms）的支付风险和火力发电机的燃料供应风险。该研究还对最有效的对冲途径进行了排名，确定了预付费电表、多样化燃料供应和电力衍生品在应对一些主要风险方面的作用。由此产生的框架为市场参与者提供了可行的见解，并提供了监管和政策建议，以增强印度动态电力部门的市场稳定性和金融弹性。

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引用次数: 0

Wind information and electricity market design: An experiment 风电信息与电力市场设计：一个实验

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-11-03 DOI: 10.1016/j.tej.2025.107515

Chiara Lo Prete , Rong Rong , Anthony Kwasnica , Cody Hohl , Jiaxing Wu , Feng Zhu

The integration of renewable energy technologies into electricity markets presents an important challenge. This paper examines the performance of alternative short-term electricity market designs for managing the uncertainty associated with wind power generation. The markets vary by their opportunity for wind power plants to respond to changing wind forecasts prior to final supply. In the two-stage market, subjects receive information about their forecasted wind availability in the day-ahead stage, and choose a quantity offer to maximize their profit for the day before the actual wind output is realized. In the multi-stage market, subjects receive an additional signal on their forecasted wind availability in the intraday stage, and may revise their quantity offer to maximize their profit before the actual wind output is realized. We develop a model of rational profit-maximizing behavior in sequential markets, derive theoretical predictions for individual behavior and market outcomes, and design laboratory experiments to test the model’s predictions. Subject decisions in the day-ahead stage of the multi-stage market rely on the prior probability of the wind state and mostly ignore the potential value of the upcoming intraday signal. This is consistent with findings of the experimental economic literature showing that decision makers may fail to make rational decisions when faced with uncertainty. Our results also suggest that the multi-stage market leads to lower uplift payments and higher revenues for the wind power producers. These efficiency gains mainly stem from the fact that subjects correctly update their quantity offers after receiving new information on wind availability in the intraday stage.

将可再生能源技术纳入电力市场是一项重大挑战。本文考察了短期电力市场设计的性能，以管理与风力发电相关的不确定性。市场的变化取决于风力发电厂在最终供应之前对不断变化的风力预测做出反应的机会。在两阶段市场中，被试获得其在前一天阶段预测的风电可用性信息，并在实际风电产出实现前一天选择一个数量报价，使其利润最大化。在多阶段市场中，交易主体在日内阶段收到关于其预测风电可用性的额外信号，并可能在实际风电输出实现之前修改其数量报价以最大化其利润。我们建立了一个顺序市场中理性利润最大化行为的模型，推导了个人行为和市场结果的理论预测，并设计了实验室实验来测试模型的预测。多阶段市场的前日阶段的主体决策依赖于风态的先验概率，而大多忽略了即将到来的日内信号的潜在价值。这与实验经济学文献的发现一致，即决策者在面对不确定性时可能无法做出理性决策。我们的研究结果还表明，多阶段市场导致风电生产商的提升支付更低，收入更高。这些效率的提高主要源于这样一个事实，即受试者在收到日内风电可用性的新信息后，正确地更新了他们的供电量。

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引用次数: 0

Energy transitions post–Russia–Ukraine war: challenges and policy implications in Germany and Italy 俄乌战争后的能源转型：德国和意大利的挑战和政策影响

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-10-24 DOI: 10.1016/j.tej.2025.107518

Yeong Jae Kim , Kyonggi Min , Seong-Hoon Cho

In the pursuit of global net-zero emissions by 2050, the Russia–Ukraine War has emerged as a potential disruptor, challenging progress toward this critical objective. We explore the repercussions of the conflict on the European Union’s initial energy transition goals, with a keen focus on electricity generation. Analyzing projections for coal, natural gas, nuclear, hydro, and renewable energy in Germany and Italy over the warring period, the study unveils divergent energy landscapes influenced by the conflict’s effects. Germany’s nuclear phase-out, coupled with the wartime surge in coal use, threatens its ability to meet the 2050 net-zero target. Despite minimal changes in electricity supply and GHG emissions in Italy, policymakers should continue implementing measures to reduce GHG emissions further. Both countries need more ambitious renewable targets. Recommendations for Germany encompass accelerating renewable deployment to offset the recent surge in coal use, whereas those for Italy focus on bolstering hydropower infrastructure, sustaining renewable investments, and strategizing natural gas imports.

在追求到2050年实现全球净零排放的过程中，俄乌战争已经成为一个潜在的干扰因素，对实现这一关键目标的进展构成了挑战。我们探讨了冲突对欧盟最初能源转型目标的影响，重点关注发电。该研究分析了德国和意大利在战争期间对煤炭、天然气、核能、水电和可再生能源的预测，揭示了受冲突影响的不同能源格局。德国逐步淘汰核能，再加上战时煤炭使用量激增，威胁到其实现2050年净零排放目标的能力。尽管意大利的电力供应和温室气体排放变化很小，但政策制定者应继续实施进一步减少温室气体排放的措施。两国都需要制定更雄心勃勃的可再生能源目标。对德国的建议包括加速可再生能源的部署，以抵消最近煤炭使用量的激增，而对意大利的建议则侧重于加强水电基础设施，维持可再生能源投资，并制定天然气进口战略。

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引用次数: 0

Factors influencing recent trends in retail electricity prices in the United States 影响美国零售电价近期趋势的因素

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-10-10 DOI: 10.1016/j.tej.2025.107516

Ryan Wiser, Eric O’Shaughnessy, Galen Barbose, Peter Cappers, Will Gorman

This study analyzes the primary drivers of recent state-level trends in U.S. retail electricity prices. We summarize pricing trends, explore descriptive relationships, and employ regression models to quantify the influence of various factors. Although the recent national rise in retail prices has largely tracked inflation, state-level trends vary widely. We identify a number of factors that explain trends in subsets of states. States with the greatest price increases typically exhibited shrinking customer loads—partially linked to growth in net metered behind-the-meter solar—and had renewables portfolio standards (RPS) in concert with relatively costly incremental renewable energy supplies. By contrast, recent utility-scale wind and solar deployment that occurred outside RPS programs (but that benefited from tax incentives) had no discernible impact on increased retail prices. Hurricanes, storms and wildfires also contributed to sizable price increases in some states, most notably in California, where wildfire risk mitigation and liability insurance were major cost drivers. Fluctuations in natural gas prices—particularly following the onset of the Ukraine-Russia war—further contributed to sharp price increases through 2022–2023 in many states, with moderation in 2024. The relative influence of these factors varies across states and over time, and relationships may change in the future. Nonetheless, the findings underscore the diverse set of price determinants and highlight the need for continued research to inform effective policy and ensure customer affordability.

本研究分析了最近美国零售电价州一级趋势的主要驱动因素。我们总结了价格趋势，探索描述性关系，并采用回归模型来量化各种因素的影响。尽管最近全国零售价格的上涨在很大程度上跟随通货膨胀，但各州的趋势差异很大。我们确定了一些解释州子集趋势的因素。价格涨幅最大的州通常表现出客户负荷的萎缩——部分与净计量太阳能的增长有关——并且有可再生能源投资组合标准（RPS），与相对昂贵的增量可再生能源供应相一致。相比之下，最近公用事业规模的风能和太阳能部署发生在RPS计划之外（但受益于税收激励），对零售价格上涨没有明显的影响。飓风、风暴和野火也导致一些州的价格大幅上涨，尤其是在加利福尼亚州，减轻野火风险和责任保险是主要的成本驱动因素。天然气价格的波动——尤其是在乌克兰和俄罗斯战争爆发之后——进一步推动了许多州在2022-2023年期间的价格大幅上涨，到2024年将有所缓和。这些因素的相对影响因州而异，随时间而异，未来关系可能会发生变化。尽管如此，调查结果强调了价格决定因素的多样性，并强调了继续研究的必要性，以便为有效的政策提供信息，并确保客户负担得起。

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引用次数: 0

Balancing the grid: Import reliance and diversity in electricity systems 平衡电网：电力系统的进口依赖和多样性

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-10-08 DOI: 10.1016/j.tej.2025.107514

Steven Dahlke

This study evaluates electricity import reliance and diversity across U.S. balancing authorities, providing insights into grid reliability and risk management. Using formal metrics, including a diversity index and import reliance calculations, the analysis quantifies the characteristics of electricity imports across electricity systems. The relationship between import reliance and diversity is analyzed and assessed during high demand periods. Key findings reveal that larger balancing authorities with broad trading relationships tend to exhibit higher diversity and lower reliance on imports. During high net-demand periods, import reliance increases for some systems while decreasing for others, while import diversity tends to decline across most systems. The results also show that systems in the Northwest, Southwest, and Northeast United States generally show higher levels of import reliance. This study is the first in the literature to apply a formal diversity index to measure the diversity of electricity imports at the balancing authority level. The metrics offer a framework for planners and policymakers to benchmark their system and quantitatively assess import risks in resource plans.

本研究评估了美国平衡当局的电力进口依赖和多样性，为电网可靠性和风险管理提供了见解。使用正式的指标，包括多样性指数和进口依赖计算，该分析量化了整个电力系统的电力进口特征。在高需求时期，分析和评估进口依赖与多样性之间的关系。主要研究结果表明，拥有广泛贸易关系的大型平衡机构往往表现出更高的多样性和更低的进口依赖。在高净需求期间，一些系统的进口依赖增加，而另一些系统的进口依赖减少，而大多数系统的进口多样性趋于下降。研究结果还表明，美国西北部、西南部和东北部的系统普遍表现出较高的进口依赖程度。本研究在文献中首次运用正式的多样性指数来衡量平衡当局层面的电力进口多样性。这些指标为规划人员和政策制定者提供了一个框架，可以对其系统进行基准测试，并定量评估资源计划中的进口风险。

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引用次数: 0

Environmental licensing of wind farms in the Global North and South: A review of guidelines and new proposals 全球北方和南方风电场的环境许可：指导方针和新建议的审查

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-09-30 DOI: 10.1016/j.tej.2025.107513

Vanessa M. Santos , Rivelino Cavalcante

The production of renewable energy through wind farms is one of the main strategies for the energy transition. However, the licensing system for this activity is not yet well established or contains gaps in many countries, which allows for the occurrence or intensification of negative environmental impacts. This article aims to conduct a systematic review of the environmental licensing processes for onshore and offshore wind farms in the Global North and South over the past ten years, in order to understand which legal requirements have been effective for environmental protection and what is lacking in the regulatory documents governing this type of enterprise to make it a more sustainable practice. The strategies used were: (i) the collection of information from the legislation of the analyzed countries, environmental or energy agencies, scientific publications, international agreements, technical reports, etc., and (ii) a systematic review of articles published in the last 10 years on the impacts of wind power and its licensing around the world. As a result, the main problems observed in regulation were the absence of strong and specific laws on environmental licensing, the non-mandatory nature of Environmental Impact Assessments for wind activities or small-scale wind farms, delays in the licensing process, and the dispersion of license issuance across different agencies. In conclusion, it is emphasized that standardizing the wind power licensing process with the requirement of environmental impact studies, public participation, and efficient monitoring would be an appropriate method to prevent impacts resulting from licensing failures.

通过风力发电场生产可再生能源是能源转型的主要战略之一。但是，这种活动的许可制度在许多国家尚未很好地确立，或存在差距，从而可能发生或加剧不利的环境影响。本文旨在对过去十年来全球北方和南方陆上和海上风电场的环境许可程序进行系统审查，以了解哪些法律要求对环境保护有效，以及管理此类企业的监管文件中缺乏哪些内容，以使其更具可持续性。所采用的策略是：(i)从被分析国家的立法、环境或能源机构、科学出版物、国际协定、技术报告等收集信息，以及（ii）系统地审查过去10年发表的关于风力发电影响及其在世界各地的许可的文章。因此，在监管方面观察到的主要问题是缺乏关于环境许可的强有力和具体的法律，风力活动或小型风力发电场的环境影响评估是非强制性的，许可过程的延误，以及不同机构之间的许可证发放分散。最后，强调将风电许可程序标准化，要求进行环境影响研究、公众参与和有效监测，将是防止许可失败造成影响的适当方法。

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引用次数: 0

Pricing in the shadows of inattention: An information-theoretic model of prosumer inattention in residential solar tariff 不注意阴影下的定价：住宅太阳能电价产消不注意的信息论模型

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-09-25 DOI: 10.1016/j.tej.2025.107503

Sreelatha Aihloor Subramanyam, Xuewei Zhang

As distributed solar energy reshapes the dynamics of residential electricity markets, traditional pricing mechanisms are increasingly strained by behavioral realities on the ground. This article advances the field by integrating prosumer inattentiveness, a factor too often omitted from prevailing models, into a unified pricing framework grounded in information theory. Drawing on Shannon’s entropy to represent bounded attention, the paper present a generalized model that evaluates the welfare, prosumers’ utility and electric company’s profitability outcomes of three widely used solar tariffs: Feed-in Tariff (FIT), Net Metering (Net M), and Net Purchase and Sale (Net P&S). The findings are analytically rigorous and empirically validated using real-world data from Texas, revealing that behavioral frictions materially affect tariff performance. In particular, Net M and Net P&S outperform FIT in terms of social welfare under finite attention, while FIT offers greater revenue stability for electrical retail companies. These insights are timely and policy relevant, underscoring the imperative to align solar pricing strategies with actual user behavior. For regulators, electrical retail companies, and scholars alike, this work makes a compelling case for incorporating behavioral economics into energy tariff design. This is a necessary step toward achieving equitable, efficient, and resilient energy transitions.

由于分布式太阳能重塑了住宅电力市场的动态，传统的定价机制越来越受到实际行为现实的制约。这篇文章通过将生产消费者的注意力不集中（一个在主流模型中经常被忽略的因素）整合到一个基于信息论的统一定价框架中，从而推进了这一领域。利用香农熵来表示有限注意力，本文提出了一个广义模型，该模型评估了三种广泛使用的太阳能电价：上网电价（FIT）、净计量电价（Net M）和净购销电价（Net P&；S）的福利、产消效用和电力公司的盈利结果。研究结果在分析上是严谨的，并使用来自德克萨斯州的实际数据进行了实证验证，揭示了行为摩擦对关税绩效的重大影响。特别是在有限关注下，Net M和Net P&；S在社会福利方面优于FIT，而FIT为电气零售企业提供了更大的收入稳定性。这些见解是及时且与政策相关的，强调了将太阳能定价策略与实际用户行为相结合的必要性。对于监管机构、电力零售公司和学者来说，这项工作为将行为经济学纳入能源关税设计提供了令人信服的理由。这是实现公平、高效和有弹性的能源转型的必要步骤。

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引用次数: 0

An empirical study of data security risks in China’s intelligent connected vehicles: Public information processing and behavioral intentions 中国智能网联汽车数据安全风险实证研究：公众信息处理与行为意向

IF 2.2 Q1 Social Sciences

Electricity Journal

Pub Date : 2025-09-22 DOI: 10.1016/j.tej.2025.107512

Wei Ni , Kun Cheng , Feiyan Wang , Fang Fang

With the rapid development of the global digital economy and the continuous expansion of the Internet of Vehicles (IoV) industry ecosystem, the risks associated with data security, software vulnerabilities, communication hijacking, and privacy breaches in connected vehicles have become increasingly pronounced. Automotive data security now presents unprecedented complexities and challenges. Balancing data security and the development of intelligent connected vehicles has become a critical issue for the global automotive industry. Understanding how the public processes risk information and the key factors influencing their behavioral intentions in response to data security concerns in intelligent connected vehicles is essential for promoting the sustainable development of the IoV industry. In this study, we examined a typical data breach incident involving Chinese intelligent connected vehicles that occurred in December 2022 and conducted a survey of 468 vehicle owners. Using a two-stage hybrid Partial Least Squares Structural Equation Model (PLS-SEM) and Artificial Neural Network (ANN) technique, we analyzed how the public processes information and forms behavioral intentions in response to this risk, as well as the relevant influencing factors. The results indicate that product knowledge, risk perception, and systematic information processing significantly affect citizens' coping behavioral intentions. Among them, product knowledge emerges not only as the strongest predictor of behavioral intentions but also as a key antecedent of risk perception, information need, and information seeking. Risk perception also facilitates information need and systematic processing to varying degrees. Furthermore, information need plays a significant mediating role between both product knowledge and information processing, as well as between risk perception and information processing.

随着全球数字经济的快速发展和车联网产业生态系统的不断扩大，车联网中的数据安全、软件漏洞、通信劫持、隐私泄露等风险日益突出。汽车数据安全现在呈现出前所未有的复杂性和挑战。平衡数据安全和智能网联汽车的发展已成为全球汽车行业面临的关键问题。了解公众如何处理风险信息，以及影响其行为意图的关键因素，以应对智能网联汽车的数据安全问题，对于促进车联网产业的可持续发展至关重要。在本研究中，我们研究了发生在2022年12月的一起涉及中国智能网联汽车的典型数据泄露事件，并对468名车主进行了调查。采用两阶段混合偏最小二乘结构方程模型（PLS-SEM）和人工神经网络（ANN）技术，分析了公众如何处理信息并形成应对这种风险的行为意图，以及相关影响因素。结果表明，产品知识、风险感知和系统信息加工对公民应对行为意愿有显著影响。其中，产品知识不仅是行为意向的最强预测因子，而且是风险感知、信息需求和信息寻求的关键前项。风险感知也在不同程度上促进信息需求和系统处理。信息需求在产品知识与信息加工之间、风险感知与信息加工之间都起着显著的中介作用。

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引用次数: 0