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Technical Briefs

Modeling and Technical-Economic Optimization of Electricity Supply Network by Three Photovoltaic Systems

[+] Author and Article Information
Sahar Safarian

Graduate Research Assistant
Sharif Energy Research Institute,
Tehran 1459777611, Iran
e-mail: safarian@energy.sharif.ir

Pooya Khodaparast

Department of Energy Engineering,
Sharif University of Technology,
Tehran 11365-11155, Iran
e-mail: khodaparast@energy.sharif.ir

Movaffaq Kateb

Department of Electronic and Computer Engineering,
University of Tehran,
Tehran 14395-515, Iran
e-mail: m.kateb@ut.ac.ir

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received July 9, 2012; final manuscript received July 15, 2013; published online September 16, 2013. Assoc. Editor: Santiago Silvestre.

J. Sol. Energy Eng 136(2), 024501 (Sep 16, 2013) (5 pages) Paper No: SOL-12-1173; doi: 10.1115/1.4025120 History: Received July 09, 2012; Revised July 15, 2013

To attain an ongoing electricity economy, developing novel widespread electricity supply systems based on diverse energy resources are critically important. Several photovoltaic (PV) technologies exist, which cause various pathways to produce electricity from solar energy. This paper evaluates the competition between three influential solar technologies based on photovoltaic technique to find the optimal pathways for satisfying the electricity demand: (1) multicrystalline silicon; (2) copper, indium, gallium, and selenium (CIGS); and (3) multijunction. Besides the technical factors, there are other effective parameters such as cost, operability, feasibility, and capacity that should be considered when assessing the different pathways as optimal and viable long-term alternatives. To aid this decision-making process, a generic optimization-based model was developed for the long-range energy planning and design of future electricity supply system from solar energy. By applying dynamic programming techniques, the model is capable of identifying the optimal investment strategies and integrated supply system configurations from the many alternatives. The features and capabilities of the model were shown through application to Iran as a case study.

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Figures

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Fig. 1

Optimal planning to satisfy the demand: (a) base scenario and (b) scenario A

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Fig. 2

Total cost of electricity supply system: (a) scenario C not executed and (b) scenario C

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Fig. 3

Capacity construction of PV technologies for case studies: (a) base scenario and (b) scenario A

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Fig. 4

The total capital cost for different scenarios

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