One novel optimum sizing method for solar lighting system by using genetic algorithm

Zhongshi Li; Wei Zhou; Hongxing Yang

doi:10.1109/ICEET.2009.61

One novel optimum sizing method for solar lighting system by using genetic algorithm

Zhongshi Li, Wei Zhou, Hongxing Yang

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

6 Citations (Scopus)

Abstract

Based on Genetic Algorithm (GA), which has the ability to attain the global optimum with relative computational simplicity, one optimum sizing method for solar lighting system with battery banks was recommended. The decision variables included in the optimization process are the PV module capacity, battery capacity and PV module slope angle. A case study is presented which has been working reliably in Hong Kong for several years, and useful experience in system optimization and operation/performance has been obtained. This paper also considers the shading effects which can influence the final sizing results significantly in some cases.

Original language	English
Title of host publication	2009 International Conference on Energy and Environment Technology, ICEET 2009
Pages	225-228
Number of pages	4
Volume	1
DOIs	https://doi.org/10.1109/ICEET.2009.61
Publication status	Published - 1 Dec 2009
Event	2009 International Conference on Energy and Environment Technology, ICEET 2009 - Guilin, China Duration: 16 Oct 2009 → 18 Oct 2009

Conference

Conference	2009 International Conference on Energy and Environment Technology, ICEET 2009
Country/Territory	China
City	Guilin
Period	16/10/09 → 18/10/09

Keywords

Genetic algorithm
Optimization
Shading effect
Solar lighting design

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Pollution

More information

10.1109/ICEET.2009.61

Cite this

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title = "One novel optimum sizing method for solar lighting system by using genetic algorithm",

abstract = "Based on Genetic Algorithm (GA), which has the ability to attain the global optimum with relative computational simplicity, one optimum sizing method for solar lighting system with battery banks was recommended. The decision variables included in the optimization process are the PV module capacity, battery capacity and PV module slope angle. A case study is presented which has been working reliably in Hong Kong for several years, and useful experience in system optimization and operation/performance has been obtained. This paper also considers the shading effects which can influence the final sizing results significantly in some cases.",

keywords = "Genetic algorithm, Optimization, Shading effect, Solar lighting design",

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Li, Z, Zhou, W & Yang, H 2009, One novel optimum sizing method for solar lighting system by using genetic algorithm. in 2009 International Conference on Energy and Environment Technology, ICEET 2009. vol. 1, 5366005, pp. 225-228, 2009 International Conference on Energy and Environment Technology, ICEET 2009, Guilin, China, 16/10/09. https://doi.org/10.1109/ICEET.2009.61

One novel optimum sizing method for solar lighting system by using genetic algorithm. / Li, Zhongshi; Zhou, Wei; Yang, Hongxing.
2009 International Conference on Energy and Environment Technology, ICEET 2009. Vol. 1 2009. p. 225-228 5366005.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - Based on Genetic Algorithm (GA), which has the ability to attain the global optimum with relative computational simplicity, one optimum sizing method for solar lighting system with battery banks was recommended. The decision variables included in the optimization process are the PV module capacity, battery capacity and PV module slope angle. A case study is presented which has been working reliably in Hong Kong for several years, and useful experience in system optimization and operation/performance has been obtained. This paper also considers the shading effects which can influence the final sizing results significantly in some cases.

AB - Based on Genetic Algorithm (GA), which has the ability to attain the global optimum with relative computational simplicity, one optimum sizing method for solar lighting system with battery banks was recommended. The decision variables included in the optimization process are the PV module capacity, battery capacity and PV module slope angle. A case study is presented which has been working reliably in Hong Kong for several years, and useful experience in system optimization and operation/performance has been obtained. This paper also considers the shading effects which can influence the final sizing results significantly in some cases.

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One novel optimum sizing method for solar lighting system by using genetic algorithm

Abstract

Conference

Keywords

ASJC Scopus subject areas

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