LAPSE:2023.35862
Published Article
LAPSE:2023.35862
An Optimal Control Method for Greenhouse Climate Management Considering Crop Growth’s Spatial Distribution and Energy Consumption
Kangji Li, Yanhui Mi, Wen Zheng
May 24, 2023
The environmental factors of greenhouses affect crop growth greatly and are mutually coupled and spatially distributed. Due to the complexity of greenhouse climate modeling, the current optimal control of greenhouse crop growth rarely considers the spatial distribution issues of environmental parameters. Proper Orthogonal Decomposition (POD) is a technique to reduce the order of a model by projecting it onto an orthogonal basis. In this paper, POD is used to extract environmental features from Computational Fluid Dynamics (CFD) simulations, and a low-dimensional feature subspace is obtained by energy truncation. With multi-dimensional interpolation, fast and low-dimensional reconstruction of the dynamic variation of greenhouse climates is achieved. On this basis, a rolling-horizon optimal control scheme is proposed. For each finite horizon, the external meteorological data are updated, and the response of the greenhouse environment is quickly calculated by the POD model. With the performance criterion J of maximizing crop production and energy efficiency, through the particle swarm optimization algorithm, the optimal settings for the greenhouse shading rate and the fan speed are derived. Such control computations are rolled forward during the whole planting season. Results of a case study show that the proposed method has low computation cost and high spacial resolution and can effectively improve the spatiotemporal accuracy of greenhouse climate management. In addition, different from traditional global optimal control methods, the proposed rolling-horizon scheme can correct various external disturbances in the procedure of crop growth, and thus it is more robust and has potential for engineering applications.
Keywords
crop growth, Energy Efficiency, greenhouse climate, optimal control, POD, rolling horizon
Suggested Citation
Li K, Mi Y, Zheng W. An Optimal Control Method for Greenhouse Climate Management Considering Crop Growth’s Spatial Distribution and Energy Consumption. (2023). LAPSE:2023.35862
Author Affiliations
Li K: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Mi Y: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zheng W: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Journal Name
Energies
Volume
16
Issue
9
First Page
3925
Year
2023
Publication Date
2023-05-06
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16093925, Publication Type: Journal Article
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LAPSE:2023.35862
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doi:10.3390/en16093925
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May 24, 2023
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May 24, 2023
 
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Calvin Tsay
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