DocumentCode :
3195643
Title :
Optimization of on-site renewable energy generation for industrial sites
Author :
Ruangpattana, Suriya ; Klabjan, Diego ; Arinez, Jorge ; Biller, Stephan
Author_Institution :
Dept. of Ind. Eng. & Manage. Sci., Northwestern Univ., Evanston, IL, USA
fYear :
2011
fDate :
20-23 March 2011
Firstpage :
1
Lastpage :
8
Abstract :
We consider the energy sourcing decision problem faced by industrial power consumers who must determine their long-term electricity procurement plan and need to evaluate various options to meet load requirements for their facilities including those which may involve on-site renewable generation. Other than sourcing from on-site renewable generation such as solar photovoltaic or wind, power can be purchased from spot markets or through a power purchase agreement, i.e. energy supply contract. We develop a mixed-integer linear model to make decisions that include investments in renewable generation, power purchases from spot markets, and amount sourced from supply contracts. Taking into account renewable energy certificates, the model´s objective is to maximize revenue from trading renewable certificates minus the expected total costs of investing and operating on-site renewable generation, and purchasing from electricity markets. Real load data from manufacturing plants are used to illustrate a numerical case study for our model.
Keywords :
decision making; electricity supply industry; integer programming; investment; linear programming; power generation economics; power markets; purchasing; electricity markets; energy sourcing decision problem; energy supply contract; industrial power consumers; industrial sites; long-term electricity procurement plan; manufacturing plants; mixed-integer linear model; on-site renewable energy generation optimisation; power purchase agreement; renewable certificate trading; renewable generation investment; spot markets; supply contracts; Contracts; Electricity; Investments; Load modeling; Manufacturing; Procurement; Renewable energy resources; industrial consumers; mixed integer linear programming; on-site generation; renewable energy; sustainability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-61284-789-4
Electronic_ISBN :
978-1-61284-787-0
Type :
conf
DOI :
10.1109/PSCE.2011.5772448
Filename :
5772448
Link To Document :
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