Electricity Journal最新文献_第2页

Role of pumped hydro storage in China’s power system decarbonization 抽水蓄能在中国电力系统脱碳中的作用

IF 2.2

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-07-08 DOI: 10.1016/j.tej.2025.107487

Liqun Peng , Gang He , Jiang Lin

{"title":"Role of pumped hydro storage in China’s power system decarbonization","authors":"Liqun Peng , Gang He , Jiang Lin","doi":"10.1016/j.tej.2025.107487","DOIUrl":"10.1016/j.tej.2025.107487","url":null,"abstract":"<div><div><span><span>China has pledged to peak its carbon emissions<span> by 2030 and achieve carbon neutrality by 2060. Decarbonizing the </span></span>power system<span> is key to achieving these targets. Pumped hydro storage (PHS) can play a crucial role in power system decarbonization by providing both short- and long-term energy storage, facilitating the integration of </span></span>variable renewable energy<span> and maintaining grid stability. However, there is a lack of systematic assessment of how much PHS is needed to support the stability and reliability of a zero-carbon power system. Here we use a high-resolution power system planning<span> model to investigate the role of PHS. Our findings indicate that building excessive PHS may not be the most cost-effective path to achieve zero-carbon power system, if there is no major cost reduction of PHS. A planned capacity of 120 GW of PHS is already sufficient to balance electricity supply and demand by 2050, since battery<span> storage capacity is projected to substantially increase between 2025 and 2050 and is emerging as a more economical solution to address the variability of renewable energy and accommodate demand growth. Our results suggest that over-investment in PHS could lead to unnecessary electricity price inflation. Further improvement of business models for energy storage in China’s evolving electricity market is critical to facilitating the rapid and sustainable development of energy storage in a decarbonizing China’s power system.</span></span></span></div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 4","pages":"Article 107487"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contracts and constraints: How long-term power purchase agreements undermine carbon pricing in India’s electricity sector 合同与约束：长期购电协议如何破坏印度电力部门的碳定价

IF 2.2

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-09-11 DOI: 10.1016/j.tej.2025.107495

Shefali Khanna

{"title":"Contracts and constraints: How long-term power purchase agreements undermine carbon pricing in India’s electricity sector","authors":"Shefali Khanna","doi":"10.1016/j.tej.2025.107495","DOIUrl":"10.1016/j.tej.2025.107495","url":null,"abstract":"<div><div>Market-based instruments like carbon pricing are increasingly being adopted in developing countries to mitigate carbon emissions. However, institutional features such as long-term electricity contracts and regulated tariffs may mute their effectiveness. I explore this question in the context of the electric power sector in India, where electricity is transacted primarily via long-term bilateral contracts and state-owned distribution utilities self-schedule contracted power plants to meet their demand. The absence of a centralized and dynamic market-based economic dispatch mechanism generates short-run misallocation in electricity dispatch and distorts long-run investment decisions, such as the incentive to invest in flexible generation capacity and energy storage to complement renewable-based capacity. Using panel data on coal price schedules and monthly plant-level operations from 2012 to 2020, I construct a predicted delivered coal price index to estimate the elasticity of plant utilization with respect to fuel prices. I find that the demand for electricity from coal-fired power plants with a higher share of capacity allocated under long-term bilateral contract(s) is less sensitive to changes in coal prices, implying that the existing market design could erode some of the environmental benefits of carbon pricing.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 4","pages":"Article 107495"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-11-19 DOI: 10.1016/j.tej.2025.107520

Jaap Burger , Jan Rosenow

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

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-11-03 DOI: 10.1016/j.tej.2025.107515

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

{"title":"Wind information and electricity market design: An experiment","authors":"Chiara Lo Prete , Rong Rong , Anthony Kwasnica , Cody Hohl , Jiaxing Wu , Feng Zhu","doi":"10.1016/j.tej.2025.107515","DOIUrl":"10.1016/j.tej.2025.107515","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 4","pages":"Article 107515"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145473838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Administering energy aid: State approaches to low income home energy assistance program implementation 管理能源援助：国家对低收入家庭能源援助计划实施的方法

IF 2.2

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-11-29 DOI: 10.1016/j.tej.2025.107521

Ryan Anthony, Michelle Graff

{"title":"Administering energy aid: State approaches to low income home energy assistance program implementation","authors":"Ryan Anthony, Michelle Graff","doi":"10.1016/j.tej.2025.107521","DOIUrl":"10.1016/j.tej.2025.107521","url":null,"abstract":"<div><div>As climate change accelerates, energy affordability has become an increasingly urgent challenge, particularly for low-income households. The Low-Income Home Energy Assistance Program (LIHEAP), the United States’ primary mechanism for delivering energy assistance to low-income households, increasingly faces constrained capacity and an uncertain future. This paper investigates how state-level variations in LIHEAP implementation affects program participation. Drawing on LIHEAP State and Territory Plans, we examine variation across three key dimensions: (1) timing and duration of assistance relative to shifting seasonal energy needs; (2) the type of administering state agency and the degree of coordination across the social safety net; and (3) outreach strategies. Using 2016–2022 linear regression estimates, we find that states where LIHEAP is administered by community service agencies are associated with higher participation rates, while administration by welfare agencies is associated with higher total participation. LIHEAP programs that coordinate application processes with other social programs are associated with reaching a larger share of eligible households, whereas passive outreach methods show limited effectiveness. Cooling degree days are not statistically associated with participation, suggesting a lag between evolving climate conditions and program adaptation. Finally, relying on 2024 data, we observe descriptive evidence of misalignment between state weather trends and funding periods. Together, these findings highlight the importance of program design and implementation in shaping access to energy assistance. We offer state-specific insights to improve LIHEAP’s responsiveness and enhance the program’s capacity to support low-income American households amid a changing climate.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 4","pages":"Article 107521"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Rethinking the hidden energy poverty indicator: Using electricity consumption quartiles to identify vulnerable households in South-Central Chile” [Electr. J. (2025), 107499] “重新思考隐藏的能源贫困指标：使用电力消费四分位数来识别智利中南部的弱势家庭”[电力]。J. (2025), 107499]

IF 2.2

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-09-18 DOI: 10.1016/j.tej.2025.107504

Susana Clavijo-Núñez , Alexis Pérez-Fargallo , David Bienvenido-Huertas , Sergio Contreras-Espinoza

引用次数: 0

Energy transition: Are Indian DisComs prepared? 能源转型：印度DisComs准备好了吗？

IF 2.2

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-11-29 DOI: 10.1016/j.tej.2025.107522

Sapan Thapar

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

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-09-22 DOI: 10.1016/j.tej.2025.107512

Wei Ni , Kun Cheng , Feiyan Wang , Fang Fang

{"title":"An empirical study of data security risks in China’s intelligent connected vehicles: Public information processing and behavioral intentions","authors":"Wei Ni , Kun Cheng , Feiyan Wang , Fang Fang","doi":"10.1016/j.tej.2025.107512","DOIUrl":"10.1016/j.tej.2025.107512","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 4","pages":"Article 107512"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modernizing India’s electricity market: Opportunities for market-based PPAs, contracts for difference, and revenue-sharing contracts 印度电力市场现代化：基于市场的购电协议、差价合同和收入分成合同的机会

IF 2.2

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-09-20 DOI: 10.1016/j.tej.2025.107505

Gaurav Gupta, Anoop Singh

{"title":"Modernizing India’s electricity market: Opportunities for market-based PPAs, contracts for difference, and revenue-sharing contracts","authors":"Gaurav Gupta, Anoop Singh","doi":"10.1016/j.tej.2025.107505","DOIUrl":"10.1016/j.tej.2025.107505","url":null,"abstract":"<div><div>India’s power sector has transitioned from a regulated framework to a more market-driven structure. These changes have contributed to improved energy access and grid reliability, although progress remains uneven across regions. However, challenges such as price volatility and rigid procurement mechanisms persist. Traditional long-term Power Purchase Agreements (PPAs), with fixed tariffs and inflexible terms, limit market adaptability. As India expands its renewable energy capacity and competitive electricity markets, modernizing procurement mechanisms is essential. Market-based PPAs enhance flexibility through dynamic pricing and real-time market alignment, while Contracts for Difference (CfDs) provide revenue stability for generators and allow utilities to benefit from market fluctuations. Revenue-sharing Contracts (RSC) create a risk-reward balance by linking revenues to market conditions and generation performance, thereby incentivizing efficiency and investment in renewables. By integrating these market-based mechanisms, India can develop a more resilient and sustainable electricity market that supports its renewable energy and decarbonization goals. Innovative financial contracts are key to managing price volatility, ensuring economic security, and fostering long-term investments in the evolving power sector.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 4","pages":"Article 107505"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Electricity Journal Pub Date : 2025-12-01 Epub Date: 2025-09-25 DOI: 10.1016/j.tej.2025.107503

Sreelatha Aihloor Subramanyam, Xuewei Zhang

{"title":"Pricing in the shadows of inattention: An information-theoretic model of prosumer inattention in residential solar tariff","authors":"Sreelatha Aihloor Subramanyam, Xuewei Zhang","doi":"10.1016/j.tej.2025.107503","DOIUrl":"10.1016/j.tej.2025.107503","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 4","pages":"Article 107503"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0