NDLI: A switching control strategy of greenhouse cooling system based on temperature prediction model for energy saving.

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A switching control strategy of greenhouse cooling system based on temperature prediction model for energy saving.

Content Provider	Semantic Scholar
Author	Zhen-Feng, Xu Jun-Jie, Chen Gang, Yu Ya-Hui, Wang
Copyright Year	2017
Abstract	In order to reduce the energy consumption of greenhouse cooling in subtropical and tropical regions, we proposed a switching control strategy based on temperature prediction model. Due to the facilities driven by the on-off actuators in many greenhouses, the cooling system was treated as a hybrid system with discrete operating modes. When the indoor air temperature reaches the upper limit set by growers, the IARX model in each mode is used to predict the indoor air temperature over a specified horizon respectively. Then the energy consumption of each mode is pre-estimated and the mode with minimum estimation is selected. The control strategy was simulated. The energy saving potential of the proposed control strategy is related to a variety of factors. In this simulation, the results indicate that the control strategy saves 15.4% energy within the temperature range (20°C, 30°C); while it saves 24.6% energy within the temperature range (24°C, 30°C), compared with a reference with fixed switching rules. Finally, the main influencing factors of energy consumption were discussed. The conclusions are instructive for the future application of the control strategy.
Starting Page	77
Ending Page	84
Page Count	8
File Format	PDF HTM / HTML
Volume Number	51
Alternate Webpage(s)	http://www.inmateh.eu/INMATEH_1_2017/51-08%20Zhenfeng%20Xu_Abstract.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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