Abstract
In the air-conditioning control systems of office buildings, keeping inhabitant thermally comfortable and saving energy have been requested. New control system for room temperature setting using comfort index PMV with neural network and fuzzy theories have been developed. The intelligent air-conditioning control function has been installed as a key function of total building control system as well as other functions. The evaluation of energy-saving and thermal comfort effects have been tested by the process simulator in the first phase. The experimental evaluation has been done later at the real office building. Good results have been obtained for cooling control during summer season. This system will be a powerful control method realizing both energy-saving and comfort to air-conditioning in the office buildings.