Electricity Journal最新文献_第10页

Trusting clean energy: novel perspectives on transition pathways for coal phaseouts and clean electrification phase-ins 信任清洁能源：煤炭淘汰和清洁电气化阶段过渡路径的新视角

Electricity Journal Pub Date : 2023-08-01 DOI: 10.1016/j.tej.2023.107318

David O. Jermain , Raymond C. Pilcher

{"title":"Trusting clean energy: novel perspectives on transition pathways for coal phaseouts and clean electrification phase-ins","authors":"David O. Jermain , Raymond C. Pilcher","doi":"10.1016/j.tej.2023.107318","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107318","url":null,"abstract":"<div><p>Institutional barriers contribute to the ambivalent performance of energy decarbonization efforts. Unexpected increases in demand for coal, driven by war in Europe, coupled with new and growing Asia-based investment in coal mines and power plants prove the need for novel coal transition pathways. At the same time, the UN aims to electrify communities with little or no access to clean and affordable energy. This work, in part, serves to support the UN 2030 Agenda for Sustainable Development. The 2030 Agenda is seventeen sustainable development goals (SDGs). The sum of the goals is about improving environments and communities. And for communities, goals focus on improving living and working conditions. SDG 7 concerns provisioning clean and affordable energy and technology. Trust structures, which provide sources of funding and governance systems, are an underutilized means of supporting coal transitions. Also, they could be equally effective if used to electrify communities with little or no access to electricity. A Trust providing a globalized \"social security\" solution can strengthen coal transitions. A Trust that speeds the deployment of electricity to areas with little or no access uses an old-line model. Early 20th century electric utilities developed using a \"virtuous circle\" transaction through which investment in communities and their economic development grew electricity sales. Two novel Trust models offered in this work overlap on coal transitions. Also, they offer pragmatic ways to help decarbonize the world. That is, the models may be applicable in other economic sectors. Using novel Trust models can improve the quality of human lives through clean energy transitions.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"36 7","pages":"Article 107318"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181105","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

Electrification of mountainous rural areas and development: A case study of Eastern Pamirs 山区农村电气化与发展——以帕米尔高原东部为例

Electricity Journal Pub Date : 2023-08-01 DOI: 10.1016/j.tej.2023.107307

Elkhan Richard Sadik-Zada , Andrea Gatto , Nasiba Sodatshoeva

引用次数: 1

Multi-Agent Reinforcement Learning-Based Decentralized Controller for Battery Modular Multilevel Inverter Systems 基于多智能体强化学习的电池模块多电平逆变器分散控制器

Electricity Journal Pub Date : 2023-07-06 DOI: 10.3390/electricity4030014

Alireza Mashayekh, S. Pohlmann, Julian Estaller, Manuel Kuder, A. Lesnicar, Richard Eckerle, T. Weyh

{"title":"Multi-Agent Reinforcement Learning-Based Decentralized Controller for Battery Modular Multilevel Inverter Systems","authors":"Alireza Mashayekh, S. Pohlmann, Julian Estaller, Manuel Kuder, A. Lesnicar, Richard Eckerle, T. Weyh","doi":"10.3390/electricity4030014","DOIUrl":"https://doi.org/10.3390/electricity4030014","url":null,"abstract":"The battery-based multilevel inverter has grown in popularity due to its ability to boost a system’s safety while increasing the effective battery life. Nevertheless, the system’s high degree of freedom, induced by a large number of switches, provides difficulties. In the past, central computation systems that needed extensive communication between the master and the slave module on each cell were presented as a solution for running such a system. However, because of the enormous number of slaves, the bus system created a bottleneck during operation. As an alternative to conventional multilevel inverter systems, which rely on a master–slave architecture for communication, decentralized controllers represent a feasible solution for communication capacity constraints. These controllers operate autonomously, depending on local measurements and decision-making. With this approach, it is possible to reduce the load on the bus system by approximately 90 percent and to enable a balanced state of charge throughout the system with an absolute maximum standard deviation of 1.1×10−5. This strategy results in a more reliable and versatile multilevel inverter system, while the load on the bus system is reduced and more precise switching instructions are enabled.","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90281548","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

Modelling the impacts of carbon pricing in India’s power system using a dynamic optimization approach 使用动态优化方法模拟印度电力系统中碳定价的影响

Electricity Journal Pub Date : 2023-07-01 DOI: 10.1016/j.tej.2023.107291

Liliana E. Benitez , Maarten Brinkerink , Abhishek Shivakumar , Paul Deane

{"title":"Modelling the impacts of carbon pricing in India’s power system using a dynamic optimization approach","authors":"Liliana E. Benitez , Maarten Brinkerink , Abhishek Shivakumar , Paul Deane","doi":"10.1016/j.tej.2023.107291","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107291","url":null,"abstract":"<div><p>India has a significant importance in achieving the global Paris agreement’s long-term goal as it is the world's third-largest consumer of energy. This paper aims to improve the understanding of the opportunities and constraints of decarbonizing India’s electricity sector and adds to the growing body of literature by modelling the electricity sector in India with a dynamic optimization approach that assesses options for effective greenhouse reductions through carbon pricing. Attaining significant variable renewable energy penetration in India by 2050 is consistent with the lowest cost power generation options identified through our simulations, where solar and wind can provide 66 % of the electricity needs by 2050, even without a carbon price. With a carbon price of US$50/tCO2e, the simulations project that wind and power generation share in the electricity mix will rise to 81 %, leading to significant emission reductions. In this scenario, power sector emissions will be 164 million tCO2e by 2050, which is only about 14 % of the emissions levels in 2019. The analysis also indicates that fossil fuels remain part of India’s electricity mix in 2050, but their role and operation would dramatically change. When a carbon price of US$50/tCO2e is introduced, coal capacity remains valuable to fill demand when solar and wind are not available. This would require modifications in operation schedules and repurposing coal power plants for frequent ramping up and down.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"36 6","pages":"Article 107291"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177200","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

Does it matter when the wind blows? Differential impacts of wind generation on the PJM wholesale electricity market 刮风有关系吗？风力发电对PJM批发电力市场的不同影响

Electricity Journal Pub Date : 2023-07-01 DOI: 10.1016/j.tej.2023.107303

Bolarinwa A. Ajanaku , Alan R. Collins

{"title":"Does it matter when the wind blows? Differential impacts of wind generation on the PJM wholesale electricity market","authors":"Bolarinwa A. Ajanaku , Alan R. Collins","doi":"10.1016/j.tej.2023.107303","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107303","url":null,"abstract":"<div><p>As wind power continues to gain traction as a sustainable energy source, important questions arise as to how and when increasing penetration of wind power undermines its own revenues as well as revenues from other generating technologies in the wholesale electricity market. To answer this question, we analyzed data from the Pennsylvania-New Jersey-Maryland (PJM) market (with relatively low, approximately 3% wind penetration) from 2016 to 2019 using quantile regression methods that provide a comprehensive picture of market conditions. Our findings demonstrate that the merit order effect exists for wind power supply expansion with unit revenue declines across all quantiles and generators. These declines occur consistently throughout market conditions but at different magnitudes. Each additional GWh of wind power is associated with a fall in wind revenue ranging from $0.01/MWh to $0.08/MWh. Wind power's cross-cannibalization effect also reduces gas and baseload capacity revenues across all quantiles, ranging from $0.02/MWh to $0.06/MWh per additional GWh of wind power. Interestingly, our results also reveal positive impacts of wind power supply on value factors (a measure of the energy's worth to the market) at low price market conditions, but negative impacts at high price conditions of the 95% and 99% quantiles. These findings confirm differential impacts of wind power across market conditions – more wind increases its worth at low market values but decreases its worth at high market values. Although the observed effects are exceedingly small, the findings of negative and unequal impacts on unit revenue in this research provide some insights and possible policy recommendations for energy market analysts, wind developers, and energy policymakers.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"36 6","pages":"Article 107303"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177204","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

New life at old plants: Exploring solar power development at former nuclear power plant sites in the United States 旧核电站的新生命：探索美国前核电站的太阳能开发

Electricity Journal Pub Date : 2023-07-01 DOI: 10.1016/j.tej.2023.107301

Elisabeth Sinclair, Jim A. Hamilton

引用次数: 0

A balanced scorecard to enable electricity distribution sector reforms in India 实现印度配电部门改革的平衡记分卡

Electricity Journal Pub Date : 2023-07-01 DOI: 10.1016/j.tej.2023.107302

Soumya Deep Das , R. Srikanth

引用次数: 1

Corrigendum to “Building a green future: Examining the job creation potential of electricity, heating, and storage in low-carbon buildings” [Electr. J. 36(5) (2023) 107274] “建设绿色未来：研究低碳建筑中电力、供暖和储能创造就业机会的潜力”更正[Electr.J.36（5）（2023）107274]

Electricity Journal Pub Date : 2023-07-01 DOI: 10.1016/j.tej.2023.107306

Benjamin K. Sovacool , Darrick Evensen , Thomas A. Kwan , Vincent Petit

引用次数: 0

Are utilities overspending on electric power resilience? How can that be? 公用事业公司是否在电力弹性方面超支？怎么可能呢？

Electricity Journal Pub Date : 2023-07-01 DOI: 10.1016/j.tej.2023.107304

Kenneth W. Costello

{"title":"Are utilities overspending on electric power resilience? How can that be?","authors":"Kenneth W. Costello","doi":"10.1016/j.tej.2023.107304","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107304","url":null,"abstract":"<div><p>Few people doubt that the U.S. will encounter future electric power outages of long durations, disrupting a large number of people and businesses. Most industry observers believe that any improvement in the resilience of the U.S. electric-power network would be cost-beneficial. From an economic perspective, the desirability of improved resilience depends on the marginal benefits and marginal costs. Marginal benefits are especially hard to measure. There is also the question of whether utilities are applying the most cost-effective actions to improve resilience, which is difficult to judge but often ignored by state utility regulators in evaluating utility “resilience” plans. State utility regulators and electric system operators face the burden of answering to the heated public after an extended power outage. They will, not surprisingly, tend to err on the side of excessive resilience, which translates into higher electricity prices. Two probable explanations for this behavior are <em>probability neglect</em> and the <em>precautionary principle</em>. This essay concludes by posing less standard alternatives for policymakers to consider in addressing electric power resilience and the “outage” problem. Two alternatives are exploiting the price mechanism and compensating utility customers for extended power outages.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"36 6","pages":"Article 107304"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177206","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

A new approach in forecasting Greek electricity demand: From high dimensional hourly series to univariate series transformation 希腊电力需求预测的一种新方法：从高维小时序列到单变量序列变换

Electricity Journal Pub Date : 2023-07-01 DOI: 10.1016/j.tej.2023.107305

George Varelas , Giannis Tzimas , Panayiotis Alefragis

{"title":"A new approach in forecasting Greek electricity demand: From high dimensional hourly series to univariate series transformation","authors":"George Varelas , Giannis Tzimas , Panayiotis Alefragis","doi":"10.1016/j.tej.2023.107305","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107305","url":null,"abstract":"<div><p>This article presents a different approach to power consumption forecasting problem. This forecasting can help power supply companies to program their production or purchases. Based on this forecasting the companies take part in auctions that determine the price of the MWh in the electricity market and at the end of the day, the price for the end consumer. So far, the problem of forecasting power supply time series has mainly been dealt with the use of classical time series algorithms or VAR models. In this paper, we use a method from the insurance sector to forecast Greek power consumption hourly values. The innovation in this method is that it allows converting the forecasting of a system of time series (high dimensional time series) into forecasting a single time series and propagating the results back to each time series. It leaves the forecasting algorithm choice to the researcher, making it very flexible and removing the necessity of choosing complex algorithms. We demonstrate the forecasting of the results of this method by applying the ARIMA algorithm.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"36 6","pages":"Article 107305"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177203","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