유전알고리즘을 이용한 중앙공조시스템 냉수배관계의 최적제어 방법

Abstract

This paper suggests the real-time optimal control method of central air-conditioning system using chilled water. The control variables for optimization are differential pressure of the pump and the supply chilled water temperature supplied to the air conditioning system produced from the central chiller. The optimal control variables of the control point are calculated using genetic algorithm in one-hour time step. The objective function of algorithm was the energy consumption of the HVAC system, and the energy consumption was calculated using the mathematical model. The results of the operation of the normal mode under the initial design conditions and the optimal operation mode with the optimal control variables were evaluated by comparing the energy consumption of the HVAC system with the variation of the control volume at the control point selected in this study. As a result, the chilled water supply temperature of the chilled water loop was operated by changing between approximately 9°C and the differential pressure of the pump between 34.87 kPa and 78.91 kPa for the optimal control method. The total energy consumption of the HVAC system during optimal control operation was reduced by 16.98% compared to operation of the normal mode.