S. Sukumar, M. Olama, M. Shankar, S. Hadley, J. Nutaro, V. Protopopescu, Sergey Malinchik, Barry Ives
{"title":"Modeling resource, infrastructure, and policy cost layers for optimizing renewable energy investment and deployment","authors":"S. Sukumar, M. Olama, M. Shankar, S. Hadley, J. Nutaro, V. Protopopescu, Sergey Malinchik, Barry Ives","doi":"10.1109/CITRES.2010.5619869","DOIUrl":null,"url":null,"abstract":"This paper presents a framework for creating a common spatial canvass that can bring together considerations of resource availability, infrastructure reliability, and development costs while strategizing renewable energy investment. We describe the underlying models and methodologies that annotate an investment plan for potential sites over a time-period with costs and constraints which may be imposed on distance from infrastructure, system impact on infrastructure, and policy incentives. The framework is intended as an enabler for visualization, optimization and decision making across diverse dimensions while searching for lucrative investment-plans.","PeriodicalId":354280,"journal":{"name":"2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITRES.2010.5619869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents a framework for creating a common spatial canvass that can bring together considerations of resource availability, infrastructure reliability, and development costs while strategizing renewable energy investment. We describe the underlying models and methodologies that annotate an investment plan for potential sites over a time-period with costs and constraints which may be imposed on distance from infrastructure, system impact on infrastructure, and policy incentives. The framework is intended as an enabler for visualization, optimization and decision making across diverse dimensions while searching for lucrative investment-plans.