Performance analysis and neural modelling of a greenhouse integrated photovoltaic system
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Pérez Alonso, José![University of Almería authority University of Almería authority](/themes/Mirage2/images/autoridades/autoridad.png)
![University of Almería authority University of Almería authority](/themes/Mirage2/images/autoridades/autoridad.png)
![University of Almería authority University of Almería authority](/themes/Mirage2/images/autoridades/autoridad.png)
Date
2012-06-27Abstract
In the modern agriculture, greenhouses are well established as technological solutions aimed to increase plants productivity and crops quality. Greenhouses can include added capabilities for the energy generation by the integration of photovoltaic solar modules in their cladding areas provided that the blocking effect of photosynthetically active radiation is not significant for plants growing. After a comprehensive literature survey on the integration of photovoltaic systems in greenhouses, this work describes the results of an experience carried out at Almería (South Eastern Spain), where it has been built and monitored a 1.024 m2 pilot photovoltaic greenhouse. The experimental set up has consisted of a greenhouse roof 9.79% coverage ratio by means of 24 flexible thin film modules, installed in two different checkerboard configurations. The obtained results indicate that, for the conditions of the undertaken experiment, the yearly electricity production normalised to the greenhouse g...
Palabra/s clave
Greenhouse
Thin film modules
Artificial neural network