Enhancing Smart Grid realisation with accurate prediction of photovoltaic performance based on weather forecast
Bibliographic Data
| ID | 19267751 |
|---|---|
| Authors | F Fouladi (University of Windsor), Paul Henshaw (0000-0002-5017-0732, University of Windsor, corresponding author), David S-K Ting (0000-0002-0919-6156) |
| Year | 2013 |
| Volume | 70 |
| Issue | 5 |
| Pages | 754-764 |
| Publication date | 2013-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Environmental Studies (JOURNAL) |
| Journal identifiers | ISSN: 0020-7233 • E-ISSN: 1026-7476 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00207233.2013.798497 |
| OpenAlex | W1963916813 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
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
Atmospheric sciences · Electrical engineering · Grid · Irradiance · Meteorology · Optics · Photovoltaic system · Physics · Renewable energy · Solar energy · Solar irradiance · Wind speed · Engineering · Environmental Science · Mathematics · Photovoltaic System Optimization Techniques · Solar Radiation and Photovoltaics · Solar Thermal and Photovoltaic Systems
| Citations per year | 0.09 |
|---|---|
| Citation span | 2015 - 2015 (1) |
| Highly cited | No |