Title
Enhancing Smart Grid realisation with accurate prediction of photovoltaic performance based on weather forecast
Document Type
Article
Publication Date
10-1-2013
Publication Title
International Journal of Environmental Studies
Volume
70
Issue
5
First Page
754
Keywords
Cell efficiency, Cell temperature, NOCT, PV
Last Page
764
Abstract
The energy conversion efficiency of photovoltaic (PV) panels depends on solar irradiance and cell temperature. The cell temperature is affected by ambient and sky temperature, wind speed and direction, in addition to solar irradiance. This study summarises relevant relationships in the literature and describes a method of calculating cell temperature and efficiency, based only on field-measured solar irradiance, ambient temperature and wind speed. These equations have been applied to a 500 kW PV site on a typical spring day and all results were within 1.6% of measured values, with an average error of 0.05%. This provides a predictive capability for solar PV to be efficiently integrated into a Smart Grid. © 2013 © 2013 Taylor & Francis.
DOI
10.1080/00207233.2013.798497
ISSN
00207233
E-ISSN
10290400
Recommended Citation
Fouladi, F.; Henshaw, P.; and Ting, D. S.K.. (2013). Enhancing Smart Grid realisation with accurate prediction of photovoltaic performance based on weather forecast. International Journal of Environmental Studies, 70 (5), 754-764.
https://scholar.uwindsor.ca/mechanicalengpub/214