Abstract
Air-conditioning control in a building is generally adopted as a way to keep room temperatures constant. However, this air-conditioning is controlled using the room temperature alone. As a result,energy might be uselessly expended through maintaining the cold or hot condition that depends on the value of the set-temperature. Moreover, it is said that the way people feel cool or warm condition is dependent on many factors,not just temperature. Therefore,in the course of this study, we have developed an algorithm for computing and outputting the optimum suitable temperature for indoor thermal environments by inputting the mathematical elements of the predicted mean vote(PMV),which is a therml comfort index,in order to creat better thermal environments.
We also created a program for the execution of this algorithm. The validity of this algorithm was then confirmed through simulations for the output of optimum temperature using this program. Furthermore ,this program was implemented in a DDC controller,and a prototype control unit incorporatimg this DDC controller was fabricated. A verification test was performed using actual equipment with this control unit, and the potential of this air-conditioning control system has been confirmed using the optimum temperature output as the desired value.
