Estimation of Output Energy Performance of Fixed and Sun-Tracking Photovoltaic Panels

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationCLIMA 2016 - proceedings of the 12th REHVA World Congress
Publication statusPublished - 22 May 2016

Conference

TitleCLIMA 2016 - the 12th REHVA World Congress
PlaceDenmark
CityAalborg
Period22 - 25 May 2016

Abstract

Photovoltaic (PV) is a promising solar energy technology which has been identified potentially suitable for wide scale applications in Hong Kong. The performance of PV systems is evaluated in terms of efficiency measuring based on laboratorial settings which may rarely occur in practice. This paper studies the energy performance for PV systems. On-site measurements including solar irradiance, temperatures and output energy for a PV generator were systematically recorded. An artificial neural network (ANN) was used to establish the energy efficiency and power output for various PV panel installations. The findings are reported and design implications are discussed.

Research Area(s)

  • Photovoltaic, Efficiency, Artificial neural networks, Simulation

Citation Format(s)

Estimation of Output Energy Performance of Fixed and Sun-Tracking Photovoltaic Panels. / LOU, Siwei; Li, Danny H.W.; Arliguié, Ulysse et al.
CLIMA 2016 - proceedings of the 12th REHVA World Congress. 2016.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review