G2TT
来源类型Article
规范类型其他
DOI10.1016/j.eneco.2008.10.004
ISBN0140-9883
A load factor based mean-variance analysis for fuel diversification.
Gotham, Douglas; Muthuraman, Kumar; Preckel, Paul; Rardin, Ronald; Ruangpattana, Suriya
发表日期2009-03
出处Energy Economics
出版者Elsevier
出版年2009
页码249-256
语种英语
摘要Fuel diversification implies the selection of a mix of generation technologies for long-term electricity generation. The goal is to strike a good balance between reduced costs and reduced risk. The method of analysis that has been advocated and adopted for such studies is the mean–variance portfolio analysis pioneered by Markowitz (Markowitz, H., 1952. Portfolio selection. Journal of Finance 7(1) 77–91). However the standard mean–variance methodology, does not account for the ability of various fuels/technologies to adapt to varying loads. Such analysis often provides results that are easily dismissed by regulators and practitioners as unacceptable, since load cycles play critical roles in fuel selection. To account for such issues and still retain the convenience and elegance of the mean–variance approach, we propose a variant of the mean–variance analysis using the decomposition of the load into various types and utilizing the load factors of each load type. We also illustrate the approach using data for the state of Indiana and demonstrate the ability of the model in providing useful insights.
特色分类HG4900 By region or country$QA0299 Analysis. Including analytical methods connected with physical problems$T0057.6 Operations research. Systems analysis$TA0168 Systems engineering$TK1001 Production of electric energy or power. Powerplants. Central stations
关键词Fuel diversity Mean variance Fuel selection Energy risk management Portfolio choice
URLhttp://sro.sussex.ac.uk/id/eprint/39802/
来源智库Science Policy Research Unit (United Kingdom)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/467564
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GB/T 7714
Gotham, Douglas,Muthuraman, Kumar,Preckel, Paul,et al. A load factor based mean-variance analysis for fuel diversification.. 2009.
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