DocumentCode :
2707005
Title :
A Power Market Model with Renewable Portfolio Standards, Green Pricing and GHG Emissions Trading Programs
Author :
Chen, Yihsu ; Wang, Lizhi
Author_Institution :
Sierra Nevada Res. Inst., Univ. of California, Merced, CA
fYear :
2008
fDate :
17-18 Nov. 2008
Firstpage :
1
Lastpage :
7
Abstract :
Models based on complementarity formulation have been a useful tool to simulate the interactions between environmental policies and the power market. This paper presents a power market model that considers renewable portfolio standards (RPS), greenhouse gas (GHG) emissions cap-and-trade and green pricing programs. These are three concurrent policies in the United States that are expected to be implemented to reduce our reliance of electricity on carbon intensity sources. Under these policies, electricity generated from renewable sources would incur little or no GHG costs, and also can be used to meet RPS, or sell into green pricing programs. Therefore, load serving entities (LSEs) would view electricity as differential products and price it differently based on its emission rate. As an illustration, the model is applied to analyze the interactions of three policies using a three-node power system. The result suggests that the green premium and the price of renewable energy credits (RECs) are closely related and the interactions among three policies can effectively increase profits earned by renewables generators. RECs market needs to be carefully designed to prevent double counting.
Keywords :
air pollution control; power markets; power system economics; pricing; GHG emissions; United States; carbon intensity sources; environmental policies; green premium; green pricing; greenhouse gas emissions; load serving entities; power market model; renewable energy credits; renewable portfolio standards; renewable sources; renewables generators; three-node power system; trading programs; Carbon dioxide; Costs; Environmental economics; Global warming; Portfolios; Power generation; Power markets; Power system analysis computing; Power system modeling; Pricing; emissions trading; green pricing; power market model; renewable portfolio standard;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy 2030 Conference, 2008. ENERGY 2008. IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-2850-2
Electronic_ISBN :
978-1-4244-2851-9
Type :
conf
DOI :
10.1109/ENERGY.2008.4780995
Filename :
4780995
Link To Document :
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