Conference Paper

Proceedings of ASim Conference 2012: 1st Asia conference of IBPSA-China, Japan, Korea

An optimum design method for primary system in buildings using GA

Dongseok Kong, Yong-Sung Jang, Myung-Ho Ahn, Jung-ho Huh

Abstract: A number of specialists have been studied a method to introduce high-performance equipment and to apply a renewable energy source in order to increase energy efficiency and to reduce energy consumption. To achieve high energy saving, the best combination of energy system and operation schedules must be planned. This is because energy consumption of energy system is highly dependent on the equipment capacity and operational conditions. As a result, type of equipment and capacity changes the actual energy efficiency in buildings. Consequently, a new design method should be presented to ensure effectiveness, primary HVAC system design in buildings. For this purpose, a numerical optimization-based selection approach has been proposed to find at the best solution for a given application in the primary HVAC system. This study presented a new method to use a genetic algorithm for the optimum design of a primary system. Using the equipment load factor and size as variables, this study conducted optimization to minimize primary energy use. The considered equipment were represented by the cooling source, the turbo-refrigerator, the absorption-refrigerator, and the heat pump, and were organized with 2 units per heat source after considering number of devices(unit). The boiler and the heat pump were considered as heat sources, and the equipment was organized with 2 units per heat source. According to the result of the optimization using the genetic algorithm, this design method has led to a potential energy reduction of 10%-18%. Therefore, it was found that energy reduction could be introduced, and equipment efficiency increased.
Pages: 173 - 180
Paper: