Optimizing the 3D Distributed Climate inside Greenhouses Using Multi-Objective Optimization Algorithms and Computer Fluid Dynamics

Kangji Li, Wenping Xue, Hanping Mao, Xu Chen, Hui Jiang and Gang Tan
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Kangji Li: School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China
Wenping Xue: School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China
Hanping Mao: Institute of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Xu Chen: School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China
Hui Jiang: School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China
Gang Tan: Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY 82071, USA

Energies, 2019, vol. 12, issue 15, 1-19

Abstract: As one of the major production facilities in agriculture, a greenhouse has many spatial distributed factors influencing crop growth and energy consumption, such as temperature field, air flow pattern, CO 2 concentration distribution, etc. By introducing a hybrid computational fluid dynamics–evolutionary algorithm (CFD-EA) method, this paper constructs a micro-climate model of greenhouse with main environmental parameters optimized. Considering environmental factors’ spatial influences together with energy usage simultaneously, the optimal solutions of control variables for crop growth are calculated. A commercial greenhouse located in east China is chosen for the method validation. Field experiments using temperature/velocity sensor matrix are carried out for CFD accuracy investigation. On this basis, the proposed optimization method is employed to search for the optimal control variables and parameters corresponding to the environmental Pareto frontier. By the proposed multi-objective scheme, we believe the method can provide set point basis for the design and regulation of large/medium-sized greenhouse production with high spatial resolution.

Keywords: greenhouse; multiple environmental parameters; interactive optimization scheme; spatial distributed factors; online–offline strategy; CFD-EA (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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