A Study on Regression Modelling Methods for Heat Source Systems and Effects of Performance Changes on the Optimum Operations

Abstract

In order to operate heat source systems effectively, it is necessary to make clear their optimum operations which based on the actual performances of the equipment. In past study, the target is limited to a part of the system and also the study hasn't enough about the influence that the change of the actual performance on the optimal operation. Therefore, this paper propose regression modeling methods based on actual operation data for each component of heat source systems first. The model for refrigerators is secured versatility by applying piecewise linear regression method. Then, optimum operations including the start / stop of refrigerators are shown through numerical simulations using the proposed models. It showed that the optimum cooling water temperature and the start / stop changed due to the actual performance change of the refrigerators. Finally, this paper describes the test results applying the proposed method to actual machine controls, and 3.6% energy saving effect and the usefulness of the proposed method are verified.