1. 제 목 : Performance monitoring and fault detection and diagnosis of
air-conditioning systems

2. 연 사 : 장 영 수 교수(국민대 발효융합학과)

3. 일 시 : 2012년 5월 4일 (금) 16:30-17:30

4. 장 소 : 301동 105호

5. 내용 :
As HVAC&R systems in building become complex and instrumented with highly automated controllers, the operator gets more difficult to understand the processes and systems and to detect the faults of HVAC systems. It is known that poorly maintained, degraded, and improperly controlled equipment under faulty condition wastes 15% to 30% of energy used in commercial buildings. There are several approaches to detecting and diagnosing faults for HVAC system. They differ widely depending on the type of system to which they are applied, the necessary degree of knowledge about the diagnosed object, cost-to-benefit ratio (including monetary as well as life safety related issues), the degree of automation, tolerance to false alarms, and the input data required. In this study, FDD algorithm was developed using the normalized distance method and general pattern classifier method that can be applied to HVAC system. We tested FDD algorithm for a water chiller using the data from simulation model and experiment. Developed FDD method can detect refrigerant leak failure, when 20% amount of charged refrigerant for normal operation leaks from the water chiller. The refrigerant leak failure caused COP reduction by 6.7% compared with normal operation performance. We also tested FDD algorithm of a CAV AHU system using data from simulation model. Fault modes in this study included mixed air damper stock, mixed air filter plugging and faulty sensing of return air temperature.

6. 연사약력 :
1997.2. - 2000.11. 한국과학기술연구원 열유동제어연구센터 post-doc.
1998.5. - 1999.9. 프랑스 파리 Ecole des Mines 에너지센터 post-doc.
2000.12. - 2002.2. 한국과학기술연구원 열유동제어연구센터 연구원
2002.12. - 2003.2. 기계공학과 방문연구원
2002.3. - 2009.2. 한국과학기술연구원 에너지메카닉스연구센터 선임연구원
2009.3. - 2010.2. 한국과학기술연구원 에너지메카닉스연구센터 책임연구원
2010.3. - 현재 국민대학교 발효융합학과 부교수

7. 문 의 : 기계항공공학부 김호영 교수 (hyk@snu.ac.kr)