A load factor based mean-variance analysis for fuel diversification

Gotham, Douglas, Muthuraman, Kumar, Preckel, Paul, Rardin, Ronald and Ruangpattana, Suriya (2009) A load factor based mean-variance analysis for fuel diversification. Energy Economics, 31 (2). pp. 249-256. ISSN 0140-9883

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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.

Item Type: Article
Keywords: Fuel diversity; Mean variance; Fuel selection; Energy risk management; Portfolio choice
Schools and Departments: School of Business, Management and Economics > SPRU - Science Policy Research Unit
Subjects: H Social Sciences > HG Finance > HG4501 Investment, capital formation, speculation > HG4900 By region or country
Q Science > QA Mathematics > QA0299 Analysis. Including analytical methods connected with physical problems
T Technology > T Technology (General) > T0055.4 Industrial engineering. Management engineering > T0057 Applied mathematics. Quantitative methods > T0057.6 Operations research. Systems analysis
T Technology > TA Engineering (General). Civil engineering (General) > TA0168 Systems engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power. Powerplants. Central stations
Depositing User: Suriya Ruangpattana
Date Deposited: 03 Jul 2012 12:57
Last Modified: 03 Jul 2012 12:57
URI: http://srodev.sussex.ac.uk/id/eprint/39802

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