Energy Conservation Optimization of Compression Water Chiller Based on Critical Stability Constrain

The superheat of the evaporator is the key factor affecting the operational efficiency and stability of the compression water chiller, a new critical stable condition is proposed according to the saturated boiling theory to calculate the lower limit of the superheat constraint online in the optimization process. In this paper, the steady state model of the cold water chiller is established, minimizing the total energy conservation of the chiller is used as the optimization goal and the genetic algorithm is used to calculate the optimized set points. Basing on the critical stable condition, the lower limit of the superheat constraint is adjusted online to be the MSS value under different heat loads. The comparison of experiment results shows that the proposed method can effectively expand the optimization range, gains lower superheat value and achieve average 2.06% energy saving than general optimization methods under typical condition in summer.