曹昉, 郭培林, 孙畅. 基于能耗模拟的精密空调温湿度协同优化控制[J]. 现代电力, 2017, 34(5): 22-29.
引用本文: 曹昉, 郭培林, 孙畅. 基于能耗模拟的精密空调温湿度协同优化控制[J]. 现代电力, 2017, 34(5): 22-29.
CAO Fang, GUO Peilin, SUN Chang. Cooperative Optimal Control on Temperature and Humidity of Precision Air Conditioning Based on Energy Consumption Simulation[J]. Modern Electric Power, 2017, 34(5): 22-29.
Citation: CAO Fang, GUO Peilin, SUN Chang. Cooperative Optimal Control on Temperature and Humidity of Precision Air Conditioning Based on Energy Consumption Simulation[J]. Modern Electric Power, 2017, 34(5): 22-29.

基于能耗模拟的精密空调温湿度协同优化控制

Cooperative Optimal Control on Temperature and Humidity of Precision Air Conditioning Based on Energy Consumption Simulation

  • 摘要: 精密空调应用广泛,但在精密空调应用场所,空调系统能耗占场所总能耗的很大比例。为优化精密空调运行及节约能耗,建立基于能耗模拟的精密空调温湿度协同控制优化运行模型。采用热平衡理论,结合场所室内设备的散热功率及室外温度变化,建立室内温度设定值与空调负荷的热平衡方程;进一步考虑室内外相对湿度的差异,建立空调加湿与除湿的能耗平衡模型;并以空调运行的经济性和稳定性为目标,建立精密空调温湿度协同控制优化运行模型。采用理想点法和遗传算法对模型求解,实现兼顾稳定及经济性的空调运行方式的优化控制,最后通过算例分析证明模型的正确性和有效性。

     

    Abstract: Precision air conditioning is widely used, and energy consumption of air-conditioning system accounts for large proportion of the total energy consumption in its application. In order to optimize the operation of precision air conditioning and save its energy consumption, the optimal operation model of coordinated temperature and humidity control system is established based on energy consumption simulation. By using the heat balance theory and combing with the cooling power of the indoor equipment and the outdoor temperature changes, the setting value of indoor temperature and the heat balance equation of load are built. In addition, the difference of the indoor and outdoor relative humidity is further considered, and energy balance model of humidification and dehumidification of air conditioning is established. And aiming to the operation economy and stability of the air conditioning, the optimized operation model for coordinated temperature and humidity controlling of precision air conditioning is built. The ideal point method and genetic algorithm are used to solve the model, and the optimal control of the air conditioning operation mode is achieved by considering of stability and economic. In the end, the correctness and validity of model are verified through case analysis.

     

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