PV system design with the effect of soiling on the optimum tilt angle
| Autor: | Hugo G. Silva, Francis M. Lopes, Ricardo Conceição, Manuel Collares-Pereira, Luis Fialho |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
060102 archaeology
Renewable Energy Sustainability and the Environment business.industry 020209 energy Photovoltaic system Irradiance 06 humanities and the arts 02 engineering and technology Solar energy Solar irradiance 7. Clean energy Tilt (optics) Performance ratio 13. Climate action 0202 electrical engineering electronic engineering information engineering Environmental science 0601 history and archaeology business Energy (signal processing) Particle deposition Marine engineering |
| Zdroj: | Renewable Energy |
| ISSN: | 0960-1481 |
| Popis: | Local particle deposition and solar irradiance data, from Photovoltaic Geographical Information System (PVGIS) in the Alentejo region (southern Portugal), are used for the development of a modified effective irradiance model featuring soiling. The model allows to calculate the optimum tilt angle for soiled PV systems, as the inclusion of soiling gives realistic results for different tilt angles to be used in the absence of cleaning; instead of using an optimum tilt angle solely based on irradiance. Consequently, the proposed model enables an increase of maximum energy production and the design of multiple tilt angle configurations to further maximize the annual energy yield, regarding a common fixed structure. The presented calculations include the seasonal soiling effect for the region, showing the applicability that this type of approach has for multiple tilt angle configurations. An economic analysis is also carried out to choose the best design, taking into account the trade-off between the increase in energy production and the costs of changing the tilt angle. The effective irradiance model for clean and soiled scenarios is also explored with the development of a method to infer when a PV installation should be cleaned for the desired efficiency. |
| Databáze: | OpenAIRE |
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