| 논문명 |
유전자 알고리즘, 파레토 최적, 환기 시뮬레이션을 통합한 환기 시스템 최적설계 / Optimal Design of Residential Ventilation Systems using Integration of Genetic Algorithm, Pareto Optimality and CONTAMW 2.4 |
| 저자명 |
김영진 (Kim Young-Jin) ; 박철수(Park Cheol-Soo) |
| 수록사항 |
대한건축학회논문집 계획계, v.24 n.1 (2008-01) |
| 주제어 |
최적설계 ; 환기 ; 유전자 알고리즘 ; 파레토 최적 ; 다기준 ; 공동주택 ; Optimal Design ; Ventilation ; Genetic Algorithm ; Pareto Optimality ; Multi-criteria ; Apartment Building |
| 요약1 |
본 연구의 목적은 건축적인 관점에서의 공동주택 환기시스템 최적설계를 구하는 것이다. |
| 요약2 |
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. |
