モデル予測制御を用いた蒸気圧縮式空調システムの省エネルギー性と室内快適性の評価

抄録

To promote decarbonization, energy saving is required in the air conditioning. Especially, vapor-compression type air-conditioning systems must greatly reduce power consumption during the operation subject to the satisfaction of indoor comfort. In the present study, a hierarchical control framework using an upper-level model predictive control and a lower-level multiple feedback controls with feedforward manipulation was developed to achieve energy-saving operation of the air-conditioning system and ensure indoor comfort. In the upper level, the operational planning of the air-conditioning system is optimized from the perspective of the power consumption of the air-conditioning system as well as indoor comfort. In the lower level, multiple feedback controls are employed to track the operational planning derived in the upper level. The feedforward control based on the operational planning result is combined to enhance the tracking capability. The developed hierarchical control framework was applied to the dynamic coupled simulation of the air-conditioning system and air-conditioned room under hourly variations in the cooling load. The results showed that the power consumption can be reduced by 6.6% in comparison with the conventional control method with a passive cascade control of the indoor temperature and the compressor inlet pressure on an extreme hot day.