To reduce the operational cost and energy consumption of energy supply systems, the operational planning and control are important subjects, and these should be considered simultaneously. In this paper, as one of the ways for coadunation of these subjects, they are combined with each other hierarchically. This approach is applied to the operational planning and control of a heat supply system for air conditioning. At the upper level, the revolutions of pumps and the electric power consumption of the heat pump chiller are determined to minimize the electric power consumption of the system using a static model. At the lower level, the model predictive control is adopted to manipulate the revolutions of pumps and the electric power consumption of the heat pump chiller using a dynamic model with their desired values determined at the upper level. At the first phase of the research, the dynamic response of the system obtained by a numerical simulation is used in place of that obtained by the measurement. The effectiveness of the proposed approach is investigated through a case study.
