Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load
This paper presents a sizing optimization methodology of panel and battery capacity in a standalone photovoltaic system with lighting load. Performance of the system is identified by performing Loss of Power Supply Probability (LPSP) calculation. Input data used for the calculation is the daily weat...
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2015
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my.utp.eprints.261002021-08-30T08:52:12Z Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load Al Riza, D.F. Gilani, S.I.U.H. Aris, M.S. This paper presents a sizing optimization methodology of panel and battery capacity in a standalone photovoltaic system with lighting load. Performance of the system is identified by performing Loss of Power Supply Probability (LPSP) calculation. Input data used for the calculation is the daily weather data and system components parameters. Capital Cost and Life Cycle Cost (LCC) is calculated as optimization parameters. Design space for optimum system configuration is identified based on a given LPSP value, Capital Cost and Life Cycle Cost. Excess energy value is used as an over-design indicator in the design space. An economic analysis, including cost of the energy and payback period, for selected configurations are also studied. © 2015, School of Engineering, Taylor�s University. Taylor's University 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84933505566&partnerID=40&md5=801cc02cfdc7a33ecff86a68abbf17c0 Al Riza, D.F. and Gilani, S.I.U.H. and Aris, M.S. (2015) Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load. Journal of Engineering Science and Technology, 10 (7). pp. 943-957. http://eprints.utp.edu.my/26100/ |
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This paper presents a sizing optimization methodology of panel and battery capacity in a standalone photovoltaic system with lighting load. Performance of the system is identified by performing Loss of Power Supply Probability (LPSP) calculation. Input data used for the calculation is the daily weather data and system components parameters. Capital Cost and Life Cycle Cost (LCC) is calculated as optimization parameters. Design space for optimum system configuration is identified based on a given LPSP value, Capital Cost and Life Cycle Cost. Excess energy value is used as an over-design indicator in the design space. An economic analysis, including cost of the energy and payback period, for selected configurations are also studied. © 2015, School of Engineering, Taylor�s University. |
| format |
Article |
| author |
Al Riza, D.F. Gilani, S.I.U.H. Aris, M.S. |
| spellingShingle |
Al Riza, D.F. Gilani, S.I.U.H. Aris, M.S. Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load |
| author_facet |
Al Riza, D.F. Gilani, S.I.U.H. Aris, M.S. |
| author_sort |
Al Riza, D.F. |
| title |
Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load |
| title_short |
Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load |
| title_full |
Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load |
| title_fullStr |
Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load |
| title_full_unstemmed |
Standalone photovoltaic systems sizing optimization using design space approach: Case study for residential lighting load |
| title_sort |
standalone photovoltaic systems sizing optimization using design space approach: case study for residential lighting load |
| publisher |
Taylor's University |
| publishDate |
2015 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84933505566&partnerID=40&md5=801cc02cfdc7a33ecff86a68abbf17c0 http://eprints.utp.edu.my/26100/ |
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