| Title |
Optimal Design of Residential Ventilation Systems using Integration of Genetic Algorithm, Pareto Optimality and CONTAMW 2.4 |
| Authors |
Kim Young-Jin ; Park Cheol-Soo |
| Keywords |
Optimal Design ; Ventilation ; Genetic Algorithm ; Pareto Optimality ; Multi-criteria ; Apartment Building |
| Abstract |
This paper addresses optimal design of ventilation system in an apartment floor plan in Korea. In the paper, the optimal design means optimal sizing and location of supply diffusers/exhaust registers. Performance criteria of decision-making for optimal design includes initial and operation costs, indoor air quality, energy use and comfort. The multi-criteria optimal design problem introduced multi-objective optimization with Pareto optimality. In the study, the Genetic Algorithm (GA) was chosen for solving a constrained discontinuous optimization problem. The CONTAMW 2.4 developed by NIST(National Institute of Science and Technology) was used to simulate ventilation phenomena. This multi-criteria optimization problem was then solved using integration of GA, Pareto optimality and CONTAMW simulation runs. The paper shows an example of an optimal design problem for a chosen apartment plan. |