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

Zhongshi Li, Wei Zhou, Hongxing Yang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publication2009 International Conference on Energy and Environment Technology, ICEET 2009
Pages225-228
Number of pages4
Volume1
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 International Conference on Energy and Environment Technology, ICEET 2009 - Guilin, China
Duration: 16 Oct 200918 Oct 2009

Conference

Conference2009 International Conference on Energy and Environment Technology, ICEET 2009
Country/TerritoryChina
CityGuilin
Period16/10/0918/10/09

Keywords

  • Genetic algorithm
  • Optimization
  • Shading effect
  • Solar lighting design

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Pollution

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