The time-varying feature of heating loads of public buildings creates a considerable space for exploring control strategies of matching the balance between the supply and demand side of district heating system (DHS). However, the strong coupling relationship between hydraulic conditions of each building has brought great difficulties for the operation regulation of DHS. Therefore, an operation strategy based on real-time indoor temperatures was proposed and a new integrated model based on dynamic hydraulic conditions combining with real-time temperatures were developed. The integration model-based strategy selects the operation costs as the main objective function and then a set of optimum neighborhood points were acquired according to the optimum financial point. Finally, the optimum operation solution was determined with consideration of the thermal comfort factor. By this decision-making process, the approach is available to obtain the operation solution which can guarantee a more comfortable indoor environment from energy point of view with a slight increase of financial expenditure. A university campus in Harbin was chosen as the case study to investigate optimization strategy and to evaluate the optimization results. The results showed that, compared with the current experience-based operation procedure, operation costs of heating system can be maximumly cut down by 38.18% with satisfying the requirement of indoor thermal comfort.

公共建筑供暖负荷的时变特征为探索控制策略以匹配区域供热系统（DHS）供需双方之间的平衡创造了可观的空间。但是，各建筑物的水力条件之间的强耦合关系给DHS的运行调节带来了很大的困难。因此，提出了一种基于室内实时温度的运行策略，并提出了一种基于动态液压工况结合实时温度的集成模型。基于集成模型的策略选择运营成本作为主要目标函数，然后根据最优财务点获得一组最优邻域点。最后，在考虑热舒适系数的情况下确定最佳运行解决方案。通过这一决策过程，该方法可用于获得可从能源角度保证较舒适的室内环境且财务支出略有增加的操作解决方案。选择哈尔滨某大学校园作为案例研究，研究优化策略并评估优化结果。结果表明，与现行的基于经验的运行程序相比，在满足室内热舒适性要求的前提下，供暖系统的运行成本可最大降低38.18％。从能源的角度来看，该方法可用于获得可确保室内环境更舒适，财务支出略有增加的操作解决方案。选择哈尔滨某大学校园作为案例研究，研究优化策略并评估优化结果。结果表明，与现行的基于经验的运行程序相比，在满足室内热舒适性要求的情况下，供暖系统的运行成本可最大降低38.18％。从能源的角度来看，该方法可用于获得可确保室内环境更舒适，财务支出略有增加的操作解决方案。选择哈尔滨某大学校园作为案例研究，研究优化策略并评估优化结果。结果表明，与现行的基于经验的运行程序相比，在满足室内热舒适性要求的情况下，供暖系统的运行成本可最大降低38.18％。