Article(id=1242141012399825516, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242141005403730110, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2023.08.01298, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1690473600000, receivedDateStr=2023-07-28, revisedDate=1700928000000, revisedDateStr=2023-11-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1715702400000, onlineDateStr=2024-05-15, pubDate=1712937600000, pubDateStr=2024-04-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1715702400000, onlineIssueDateStr=2024-05-15, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079095218, creator=sys-migrate, updateTime=1774079095218, updator=sys-migrate, issue=Issue{id=1242141005403730110, tenantId=1146029695717560320, journalId=1146031591421210625, year='2024', volume='42', issue='7', pageStart='1', pageEnd='124', issueExtLink='null', onlineDate='null', pubDate='1712937600000', pubDateStr='2024-04-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774079093550, creator='sys-migrate', updateTime=1774079093550, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=25, endPage=39, ext={EN=ArticleExt(id=1242141015189041387, articleId=1242141012399825516, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Economic assessment of China's power supply reliability, columnId=1242141015109349610, journalTitle=Science & Technology Review, columnName=Exclusive: Carbon Neutrality and Green and Low-carbon Development, runingTitle=null, highlight=null, articleAbstract=In the context of maintaining energy security and implementing low-carbon development, ensuring the power system reliability is becoming increasingly challenging. The interdependence between power industry and other sectors within the supply chain network exposes the entire economy to unpredictable higher-order economic impact resulting from power interruption. To explore the heterogeneous regional effects by improving power supply reliability in mitigating national economic losses, this study employs an agent-based complex network supply chain model to conduct an economic assessment of power supply reliability in China. Using a top-down approach, the study estimates the direct economic losses of production activities due to power interruption in China in 2018 and incorporates them as external shocks in the complex network model to simulate the higherorder indirect economic losses caused by power disruption in the supply chain network on a daily basis. By setting up 298 scenarios that reduce power outage duration in each region one by one, the study identifies 15 key regions for safeguarding power supply reliability. Enhancing the power supply reliability in these areas can result in an average reduction of indirect economic losses ranging from CNY 439 million to CNY 1.96 billion nationwide, representing a decrease of 0.39% to 1.76% compared to the baseline scenario. The findings of this research may provide guidance for relevant departments in identifying priority areas, assessing the value of power supply reliability, considering additional costs for power security maintenance, and formulating policy implications for the development of power security construction in different regions., authors=QU Shen^1,2, WANG Qianzi^1,2, LIN Jin^1,2, ZHANG Jiaqi^1,2, BEN Yawen^1,2, ZHOU Qi^1,2, authorsList=QU Shen, WANG Qianzi, LIN Jin, ZHANG Jiaqi, BEN Yawen, ZHOU Qi, authorCompany=1. Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China;
2. School of Management, Beijing Institute of Technology, Beijing 100081, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141014564086396, articleId=1242141012399825516, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=中国电力供应可靠性经济价值评估, columnId=1242141014375342713, journalTitle=科技导报, columnName=专题：碳中和与绿色低碳发展, runingTitle=null, highlight=null, articleAbstract=电力行业与其他经济部门在供应链网络上相互依赖，电力中断会对整个经济造成不可预见的高阶影响。为探究不同地区通过提高供电可靠性从而减缓全国经济损失的程度，利用基于适应性主体的复杂网络供应链模型对中国电力供应可靠性进行经济价值评估。研究采用自上而下的方法，估算了2018年中国电力中断事件对生产活动造成的直接经济损失，并将其作为外部冲击输入该复杂网络模型，逐日模拟电力中断对供应链网络产生的高阶间接经济损失。通过设置298种情景逐个减少全国各地区的停电时间，识别出了15个电力供应可靠性的重点保障地区。提高这些地区的电力供应可靠性，可以将全国的间接经济损失平均降低4.39亿~19.63亿元，相对于基准情景下的间接经济损失减少了0.39%~1.76%。, authors=曲申^1,2, 王千姿^1,2, 林瑾^1,2, 张佳琪^1,2, 贲雅雯^1,2, 周琪^1,2, authorsList=曲申, 王千姿, 林瑾, 张佳琪, 贲雅雯, 周琪, authorCompany=1. 北京理工大学能源与环境政策研究中心, 北京 100081;
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