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description Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:MDPI AG Authors:Gianluca Serale;
Gianluca Serale
Gianluca Serale in OpenAIRELuca Gnoli;
Emanuele Giraudo;Luca Gnoli
Luca Gnoli in OpenAIREEnrico Fabrizio;
Enrico Fabrizio
Enrico Fabrizio in OpenAIREdoi: 10.3390/en14010202
Artificial lighting systems are used in commercial greenhouses to ensure year-round yields. Current Light Emitting Diode (LED) technologies improved the system efficiency. Nevertheless, having artificial lighting systems extended for hectares with power densities over 50W/m2 causes energy and power demand of greenhouses to be really significant. The present paper introduces an innovative supervisory and predictive control strategy to optimize the energy performance of the artificial lights of greenhouses. The controller has been implemented in a multi-span plastic greenhouse located in North Italy. The proposed control strategy has been tested on a greenhouse of 1 hectare with a lighting system with a nominal power density of 50 Wm−2 requiring an overall power supply of 1 MW for a period of 80 days. The results have been compared with the data coming from another greenhouse of 1 hectare in the same conditions implementing a state-of-the-art strategy for artificial lighting control. Results outlines that potential 19.4% cost savings are achievable. Moreover, the algorithm can be used to transform the greenhouse in a viable source of energy flexibility for grid reliability.
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