基于智能寻优算法的医院空调节能应用研究

Research on energy-saving application of air conditioning in hospital based on intelligent optimization algorithm

目的:构建一个基于智能寻优算法的医院空调节能方案,在尽可能满足舒适度的前提下最大限度地节能降耗。方法:在整个系统层面通盘考虑的基础上,基于空调系统操作寻优模型设计,针对不同环境条件及制冷负荷要求做出最节能控制方案。结果:针对现场设备性能进行模拟实验补充完善了设备运行数据,并基于以上数据构建神经网络模型+寻优算法,针对不同环境条件及制冷负荷要求做出最节能控制方案。结论:提出了改进及完善空调智能化节能的解决方案,为全国公立医院后勤智能化管理提供了新思路。

Objective:To construct an energy-saving application of hospital air conditioning based on intelligent optimization algorithm,and to maximize energy saving and consumption reduction under the premise of satisfying the comfort level as much as possible.Methods:On the basis of the overall consideration of the whole system level,based on the optimization model design of air conditioning system operation,the most energy-saving control scheme was made according to different environmental conditions and refrigeration load requirements.Results:According to the performance of the field equipment,simulation experiments were carried out to supplement and improve the equipment operation data,and based on the above data,the neural network model+optimization algorithm was constructed to make the most energy-saving control scheme according to different environmental conditions and refrigeration load requirements.Conclusion:The paper proposes solutions to improve and perfect the intelligent energy saving of air conditioning,hoping to provide a new idea for the intelligent logistics management of public hospitals nationwide.