Abstract
District heating and cooling (DHC) is attracting attention as a plant that uses a demand response. In this study, we focus on operation planning problem of the cooling water supply system. We thought that reflecting the latest equipment status and a electricity consumption trade-off between the turbo refrigerator and the cooling tower in terms of cooling water temperature are important in this operational planning problems. Therefore, in order to create a better operation plan, it is necessary to create optimization model using common information model (CIM) and directly optimize the temperature and cooling water flow rate. We propose a two-stage optimization method using a general-purpose linear optimization solver and a quantum-inspired annealing as a method for solving the problem including the bilinear terms. Using the proposed method, a case study was conducted using data from an actual DHC plant, and the results showed that CO2 emissions were reduced by about 17% compared to actual operation. In addition, when considering operational planning problems for energy equipment, it was found that by dividing the optimization problem into individual problems that are compatible with quantum-inspired annealing, it may be possible to approach problems that could not be handled previously.
