The demand for chiller equipment that keeps each machine at a constant temperature to maintain the best possible condition is growing rapidly. PID (Proportional Integral Derivation) control is a popular temperature control method. The error, which is the difference between the desired target value and the current system output value, is calculated and used as an input to the system using a proportional, integrator, and differentiator. Through such a closed-loop configuration, a desired final output value of the system can be reached using only the target value and the feedback signal. Furthermore, various temperature control methods have been devised as the control performance of various high-performance equipment becomes important. Therefore, it is necessary to design for accurate data-driven temperature control for chiller equipment. In this research, support vector regression is applied to the classic PID control for accurate temperature control. Simulated annealing is applied to find optimal PID parameters. The results of the proposed control method show fast and effective control performance for chiller equipment.

산업체에서 사용하고 있는 칠러 냉각 장치에는 침전물이나 부유물이 많이 발생한다. 칠러 냉각장치에 마그네슘을 적용시켰을 때 나타나는 냉각수와 침전물 및 부유물의 변화를 연구하기 위하여 ICP-AES, IC, XRD, SEM 분석을 실시하였다. 칠러 냉각장치에 Mg를 적용할 경우 대부분의 용해 성분이 감소하는 경향을 보여주고 있어 냉각수의 수질이 상당히 개선되었다. 또한 유기물 형태로 존재하던 부유물이나 침전물이 거의 생성되지 않아 유기물 생성을 억제시키는 효과도 있는 것으로 판단된다.