Multi-objective Optimization of Fan-Pad System Operation for Venlo Greenhouse Using CFD Model based Data Interactive Mechanism

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• 英文论文题名：Multi-objective Optimization of Fan-Pad System Operation for Venlo Greenhouse Using CFD Model based Data Interactive Mechanism
• 论文作者：Wei Zhou ; Kangji Li ; Wenping Xue ; Hui Jiang ; Hanping Mao
• 英文论文作者：Wei Zhou ; Kangji Li ; Wenping Xue ; Hui Jiang ; Hanping Mao ; School of Electrical and Information Engineering ; Jiangsu University ; Institute of Agricultural Engineering ; Jiangsu University
• 年：2017
• 作者机构：School of Electrical and Information Engineering,Jiangsu University;Institute of Agricultural Engineering,Jiangsu University;
• 英文论文关键词：Climate control ; Greenhouse ; CFD simulation ; Interactive framework ; Multi-objective optimization
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：S625.3
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：6
• 文件大小：459k
• 原文格式：D
• 会议级别：全国

摘要

Greenhouse is a complex distributed parameters system where multiple climatic variables have great impacts on crop growth. In order to analyze the relationships of different factors inside greenhouse, a CFD model is constructed to simulate the microclimatic distribution in the greenhouse located in Zhenjiang, Jiangsu Province. The reliability of the model is validated by experimental data. On this basis, an interactive optimization framework which couples Matlab based multi-objective genetic algorithm(MOGA) with CFD simulations is applied to search optimal climate control scheme for crop growth. The objective functions include indexes of temperature, CO_2 concentration and energy consumption. Simulation results prove the effectiveness of the proposed method.
Greenhouse is a complex distributed parameters system where multiple climatic variables have great impacts on crop growth. In order to analyze the relationships of different factors inside greenhouse, a CFD model is constructed to simulate the microclimatic distribution in the greenhouse located in Zhenjiang, Jiangsu Province. The reliability of the model is validated by experimental data. On this basis, an interactive optimization framework which couples Matlab based multi-objective genetic algorithm(MOGA) with CFD simulations is applied to search optimal climate control scheme for crop growth. The objective functions include indexes of temperature, CO_2 concentration and energy consumption. Simulation results prove the effectiveness of the proposed method.

引文

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