CIESC Journal ›› 2025, Vol. 76 ›› Issue (S1): 237-245.DOI: 10.11949/0438-1157.20241354

• Fluid dynamics and transport phenomena • Previous Articles    

Airflow simulation and optimization based on CO2 concentration in plant factory

Jichao GUO(), Xiaoxiao XU(), Yunlong SUN   

  1. Key Laboratory of Low-grade Energy Utilization Technology and System, Ministry of Education, Chongqing University, Chongqing 400044, China
  • Received:2024-11-25 Revised:2024-12-13 Online:2025-06-26 Published:2025-06-25
  • Contact: Xiaoxiao XU

基于植物工厂中的CO2浓度气流模拟及优化研究

郭纪超(), 徐肖肖(), 孙云龙   

  1. 重庆大学低品位能源利用技术及系统教育部重点实验室,重庆 400044
  • 通讯作者: 徐肖肖
  • 作者简介:郭纪超(2000—),男,硕士研究生,202210131098@stu.cqu.edu.cn
  • 基金资助:
    国家自然科学基金项目(52376001)

Abstract:

The accurate analysis of the distribution of airflow tissue in plant factories is an important basis for the study of plant healthy growth, but there is a lack of research on the distribution of CO2 concentration in plant factories. Computational fluid dynamics (CFD) method was used to establish a mathematical model of porous media and net photosynthesis, and the concentration of CO2 and energy consumption of air supply fans under different air supply speeds were explored. Based on the NSGA-Ⅱ genetic algorithm, multi-objective optimization was carried out with the velocity of the air supply outlet as the decision variable, the airflow velocity of the plant area, the concentration of CO2 and the energy consumption of the fan as the objective functions, and the Pareto optimal solution was obtained. When the air supply speed was 3.26 m/s, the average velocity of the plant area is 0.37 m/s and CO2 concentration of the plant area is 277 μmol/mol, and the energy consumption of the fan is 23.26 W.

Key words: plant factory, porous media, carbon dioxide, mathematical models for photosynthesis, genetic algorithm

摘要:

植物工厂内气流组织的精准化分析是探究植物健康生长的重要基石,然而,目前针对植物工厂内部CO2浓度分布的研究仍较为匮乏。采用计算流体力学(CFD)方法构建了植物多孔介质模型及净光合作用数学模型,旨在探讨不同送风速度下植物区域内气流速度CO2、浓度分布以及送风风机能耗的情况。基于NSGA-Ⅱ遗传算法,以送风口速度为决策变量,植物区域的气流速度、CO2浓度以及风机能耗作为目标函数,进行了多目标优化。优化结果得出了帕累托最优解:当送风速度为3.26 m/s时,植物区域的平均气流速度为0.37 m/s,CO2浓度为277 μmol/mol,同时风机的能耗为23.26 W。

关键词: 植物工厂, 多孔介质, 二氧化碳, 光合作用模型, 遗传算法

CLC Number: