Risk and Systems Analysis for Renewable Power Generation with Environmental and Other Stressors

Megan C. Marcellin, Gigi Pavur, John J. Cardenas, Saddam Q. Waheed, Benjamin D. Trump, Igor Linkov, Venkataraman Lakshmi, James H. Lambert
{"title":"Risk and Systems Analysis for Renewable Power Generation with Environmental and Other Stressors","authors":"Megan C. Marcellin,&nbsp;Gigi Pavur,&nbsp;John J. Cardenas,&nbsp;Saddam Q. Waheed,&nbsp;Benjamin D. Trump,&nbsp;Igor Linkov,&nbsp;Venkataraman Lakshmi,&nbsp;James H. Lambert","doi":"10.1002/iis2.13167","DOIUrl":null,"url":null,"abstract":"<p>The effects of climate change and water scarcity threaten the stability of critical infrastructure systems in developing regions. In particular, the interconnectedness of energy systems, natural resources, economic growth, and social welfare requires a systems-level framework to identify scenarios which most impact these systems. This paper evaluates and quantifies infrastructure system risk, defined as the influence of scenarios on system priorities. A scenario-based multi-criteria preferences model assesses system component priorities for a baseline scenario as well as climate and related scenarios. The shift in priorities between the baseline and other future scenarios define scenario disruptiveness, or level of risk. The methods are demonstrated for the case of the emerging renewable energy sector of Iraq. Twenty-five renewable energy system assets are prioritized by an assessment of system success criteria, which include economic, social, political, and climate considerations. The system prioritization is reevaluated in the case of seven disruptive scenarios relating to water scarcity, climate volatility, and social and economic shifts. This paper advances methods of the Systems Engineering Body of Knowledge (SEBoK) Part 3: Engineering and Management, by defining system risk and proposing methods for risk identification and risk analysis.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"631-648"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INCOSE International Symposium","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/iis2.13167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The effects of climate change and water scarcity threaten the stability of critical infrastructure systems in developing regions. In particular, the interconnectedness of energy systems, natural resources, economic growth, and social welfare requires a systems-level framework to identify scenarios which most impact these systems. This paper evaluates and quantifies infrastructure system risk, defined as the influence of scenarios on system priorities. A scenario-based multi-criteria preferences model assesses system component priorities for a baseline scenario as well as climate and related scenarios. The shift in priorities between the baseline and other future scenarios define scenario disruptiveness, or level of risk. The methods are demonstrated for the case of the emerging renewable energy sector of Iraq. Twenty-five renewable energy system assets are prioritized by an assessment of system success criteria, which include economic, social, political, and climate considerations. The system prioritization is reevaluated in the case of seven disruptive scenarios relating to water scarcity, climate volatility, and social and economic shifts. This paper advances methods of the Systems Engineering Body of Knowledge (SEBoK) Part 3: Engineering and Management, by defining system risk and proposing methods for risk identification and risk analysis.

具有环境和其他压力因素的可再生能源发电的风险和系统分析
气候变化和水资源短缺的影响威胁着发展中地区关键基础设施系统的稳定性。特别是,能源系统、自然资源、经济增长和社会福利之间的相互联系需要一个系统级框架,以确定对这些系统影响最大的情景。本文对基础设施系统风险进行了评估和量化,将其定义为情景对系统优先级的影响。基于情景的多标准偏好模型评估了基线情景以及气候和相关情景下的系统组件优先级。基线情景与其他未来情景之间优先级的变化定义了情景破坏性或风险水平。该方法以伊拉克新兴的可再生能源部门为例进行了演示。通过对系统成功标准(包括经济、社会、政治和气候因素)的评估,对 25 个可再生能源系统资产进行了优先排序。在水资源短缺、气候波动以及社会和经济变化等七种破坏性情景下,对系统优先级进行了重新评估。本文通过定义系统风险并提出风险识别和风险分析方法,推进了系统工程知识体系(SEBoK)第 3 部分:工程与管理的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信