基于热湿解耦的DOAS空调系统运行模型及快速优化方法

在高温高湿的气候条件下，传统空调系统采用温湿度耦合控制的空气调节方式存在能耗高、能源品位低值化等问题。采用DOAS空调系统对温湿度分别调节，具有提高室内热舒适性和提升系统节能潜力的优势。空调系统运行调节时存在严重的时滞性、超调和运行状态漂移的问题，导致控制过程剧烈震荡或控制精度有限。本项目拟开展DOAS空调系统热湿耦合传递过程和热、湿负荷形成机理的理论研究，揭示其热湿传递规律及关联性；提出热、湿负荷解耦预测方法，建立热、湿负荷解耦预测模型和空调系统设备性能快速仿真模型；发展快速优化运行方法，提前感知和调节空调系统设备的运行状态；研究强化DOAS空调系统事前优化控制的韧性和鲁棒性方法，开发适用于热湿地区的DOAS空调系统事前快速预测优化运行策略，提出利用过渡季自然能源最大程度地提升系统能效的方法，实现改善室内热舒适性的同时降低系统运行成本。

In high-temperature and high-humidity climate conditions, the traditional HVAC system adopts coupled temperature and humidity air conditioning, which has high energy consumption. Using the dedicated outdoor air systems (DOAS) to separately adjust the temperature and humidity has advantage for improving indoor thermal comfort and saving energy. For the problems such as time-lag or overshoot caused by air conditioning system adjustment, which results in limited control accuracy, the use of reasonable load prediction methods and fast optimization operation methods can optimize the status of air conditioning system equipment in advance. This project intends to carry out theoretical research on the heat-moisture coupling transfer process and heat-humidity load formation mechanism of DOAS system, reveal its heat-moisture transfer law and correlation, establish a heat-moisture load decoupling prediction model and a rapid simulation model of air-conditioning system equipment performance. This project studies methods to strengthen the toughness and robustness of prior optimization control for DOAS air-conditioning system, develops a rapid prediction and optimization operation strategy suitable for hot and humid areas, and proposes a method to improve indoor thermal comfort and reduce system operating costs during the transition season.