干旱区生态环境知识资源中心(Arid): Multi-attribute criteria applied to electric generation energy system analysis LDRD.

Arid

DOI	10.2172/923152
报告编号	SAND2005-6505
来源ID	OSTI_ID: 923152
	Multi-attribute criteria applied to electric generation energy system analysis LDRD.
	Kuswa, Glenn W.; Tsao, Jeffrey Yeenien; Drennen, Thomas E.; Zuffranieri, Jason V.; Paananen, Orman Henrie; Jones, Scott A.; Ortner, Juergen G. (DLR, German Aerospace, Cologne); Brewer, Jeffrey D.; Valdez, Maximo M.
英文摘要	This report began with a Laboratory-Directed Research and Development (LDRD) project to improve Sandia National Laboratories multidisciplinary capabilities in energy systems analysis. The aim is to understand how various electricity generating options can best serve needs in the United States. The initial product is documented in a series of white papers that span a broad range of topics, including the successes and failures of past modeling studies, sustainability, oil dependence, energy security, and nuclear power. Summaries of these projects are included here. These projects have provided a background and discussion framework for the Energy Systems Analysis LDRD team to carry out an inter-comparison of many of the commonly available electric power sources in present use, comparisons of those options, and efforts needed to realize progress towards those options. A computer aid has been developed to compare various options based on cost and other attributes such as technological, social, and policy constraints. The Energy Systems Analysis team has developed a multi-criteria framework that will allow comparison of energy options with a set of metrics that can be used across all technologies. This report discusses several evaluation techniques and introduces the set of criteria developed for this LDRD.
出版年	2005
报告类型	Technical Report
语种	英语
国家	美国
来源学科分类	29 ENERGY PLANNING, POLICY AND ECONOMY ; COMPUTERS ; ELECTRIC POWER ; ELECTRICITY ; ENERGY SYSTEMS ; EVALUATION ; METRICS ; NUCLEAR POWER ; SANDIA NATIONAL LABORATORIES ; SECURITY ; SIMULATION Energy development. ; Electric power systems-Mathematical models. ; Energy industries.
URL	http://www.osti.gov/scitech/servlets/purl/923152
资源类型	科技报告
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/269062
推荐引用方式 GB/T 7714	Kuswa, Glenn W.,Tsao, Jeffrey Yeenien,Drennen, Thomas E.,et al. Multi-attribute criteria applied to electric generation energy system analysis LDRD.,2005.