Analysis of internal shading degree to a prototype of dynamics photovoltaic greenhouse through simulation software

Submitted: 16 June 2015
Accepted: 12 November 2015
Published: 18 December 2015
Abstract Views: 3009
PDF: 971
HTML: 2017
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In recent years the use of photovoltaic panels as cover materials for greenhouses developed a great interest due to the state’s incentives obtainable by such applications. Shading caused by these elements inside the structure appears to be often too much for the normal development of agricultural activity. In this study it was analyzed the behaviour of shading caused by the photovoltaic panels inside a prototype of dynamic photovoltaic greenhouse whose particularity lies in the possibility of rotation of the panels along the longitudinal axis. The panels’ rotation allows varying shading degree in function of some parameters such as latitude and the different solar angles. In order to avoid any reflection losses due to imperfect inclination of the photovoltaic panels, 24 highly reflective aluminium mirrors were prepared with the objective of recovering the portion of solar radiation otherwise lost by reflection. For the study it was used the simulation software Autodesk® Ecotect® Analysis which allows to analyse the path of the shadows during the day and throughout the year for any latitude considered. For this study it was analyzed shading with the panels in a horizontal position. It was also analyzed the evolution of the percentage of shading simulating different latitudes. The results obtained show a great variation of the shading degree inside the structure during a single day and during the year. We can conclude that integrating this analysis with the energy balance it is possible to study the behaviour of photovoltaic greenhouses in order to integrate the energy production from renewable energy sources and agricultural production.

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Marucci, A., Monarca, D., Cecchini, M., Colantoni, A. and Cappuccini, A. (2015) “Analysis of internal shading degree to a prototype of dynamics photovoltaic greenhouse through simulation software”, Journal of Agricultural Engineering, 46(4), pp. 144–150. doi: 10.4081/jae.2015.483.