Simulation Study on Supply Temperature Optimization of University Campus Heating System

The article deals with optimizing supply temperature at the district heating plant using simulations. It describes a new method of supply temperature optimization based on penalty functions considering indoor temperature and heat energy consumed. According to the method proposed the supply temperature is calculated and adjusted for maintaining the most comfortable indoor temperature in the buildings which lack an automated individual heating system. The article offers a scheme of the heating plant model predictive control making use of the optimization method developed.