Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology

This paper aims to show the use of the response surface methodology (RSM) in size optimization of an autonomous PV/wind integrated hybrid energy system with battery storage. RSM is a collection of statistical and mathematical methods which relies on optimization of response surface with design param...

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Bibliographic Details
Published in:Applied energy 2008-11, Vol.85 (11), p.1086-1101
Main Authors: Ekren, Orhan, Ekren, Banu Yetkin
Format: Article
Language:English
Subjects:
Applied sciences
Batteries
case studies
Communications
Computer programs
Direct energy conversion and energy accumulation
Electrical engineering. Electrical power engineering
Electrical power engineering
Electrochemical conversion: primary and secondary batteries, fuel cells
Energy
Equipments, installations and applications
Exact sciences and technology
Hybrid energy
Hybrid energy Optimization Simulation Response surface methodology
hybrids
Natural energy
Optimization
Q1
Q3
Response surface methodology
Simulation
Solar energy
Solar thermal conversion
Storage
Technology
Turkey
Turkey, Anatolia, Izmir
Wind energy
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Summary:This paper aims to show the use of the response surface methodology (RSM) in size optimization of an autonomous PV/wind integrated hybrid energy system with battery storage. RSM is a collection of statistical and mathematical methods which relies on optimization of response surface with design parameters. In this study, the response surface, output performance measure, is the hybrid system cost, and the design parameters are the PV size, wind turbine rotor swept area and the battery capacity. The case study is realized in ARENA 10.0, a commercial simulation software, for satisfaction of electricity consumption of the global system for mobile communications (GSM) base station at Izmir Institute of Technology Campus Area, Urla, Turkey. As a result, the optimum PV area, wind turbine rotor swept area, and battery capacity are obtained to be 3.95 m 2, 29.4 m 2, 31.92 kWh, respectively. These results led to $37,033.9 hybrid energy system cost, including auxiliary energy cost. The optimum result obtained by RSM is confirmed using loss of load probability (LLP) and autonomy analysis.
ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2008.02.016