Practical receding-horizon optimization control of the air handling unit in HVAC systems

Industrial and Engineering Chemistry Research

Volumn 44, Issue 8, 2005, Pages 2848-2855

  Xu, Min ^a   Li, Shaoyuan ^a   Cai, Wenjian ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AIR CONDITIONING; COMPUTER SIMULATION; OPTIMIZATION; PROCESS CONTROL; VENTILATION;

AIR HANDLING UNITS (AHU); CONTROLLER PARAMETERS; PROPORTIONAL-INTEGRAL-DERIVATIVE (PID); RECEDING-HORIZON OPTIMIZATION METHOD;

HEATING;

OPTIMIZATION;

EID: 18144427544     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0499411     Document Type: Article

References (19)

1. ASHRAE. ASHRAE handbook-fundamentals; American Society of Heating, Refrigerating and Air-Conditioning Engineers Inc.: Atlanta, GA, 1997.
2. Astrom, K. J.; Hagglund, T. PID Controllers: theory, design, and tuning; Instrument Society of America: Research Triangle Park, NC, 1995.
3. Prabhat, A.; Lakshminarayanan, S. Tuning proportionalintegral-derivative controllers using achievable performance indices. Ind. Eng. Chem. Res. 2003, 42 (22), 5576-5582.
4. Rahmati, A.; Rashidi, F.; Rashidi, M. A hybrid fuzzy logic and PID controller for control of nonlinear HVAC systems, IEEE International Conference on Systems, Man and Cybernetics; IEEE: Piscataway, NJ, 2003; pp 2249-2254.
5. Wu, J.; Cai, W. J. Development of an adaptive neuro-fuzzy method for supply air pressure control in HVAC system. IEEE International Conference on Systems, Man and Cybernetics; IEEE: Piscataway, NJ, 2000; pp 3806-3809.
6. Nassif, N.; Kaji. S.: Sabourin. R. Evolutionary algorithm for multi-objective optimization in HVAC system control strategy. IEEE Annual Meeting of Fuzzv Information; IEEE: Piscataway, NJ, 2004; pp 51-56.
7. Chow, T. T.; Zhang, Q. G.; Lin, Z.; Song, C. L. Global optimization of absorption chiller system by genetic algorithm and neural network. Energy Buildings 2002, 34 (1), 103-109.
8. Bi. Q.; Cai, W. J.; et al. Advanced controller auto-tuning and its application in HVAC systems. Control Eng. Pract. 2000, 8 (2), 633-644.
9. Dexter. A. L.; Haves. P. A robust self-tuning controller for HVAC applications. ASHRAE Trans. 1989, 2, 431-439.
10. Qin. S. J.: Badgwell. T. A. A survey of industrial model predictive control technology, Control Eng. Pract. 2003, 11 (7), 733-764.
11. Virk, G. S.; Loveday, D. L. A comparison of predictive, PID and on/off control techniques for energy management control. ASHRAE Trans. 1991, 97 (2), 3-10.
12. Jorgl, H. P.; Pargfrieder, J. An integrated control system for optimizing the energy consumption and user comfort in buildings. IEEE International Symposium on Computer Aided Control System Design Proceedings, Glasgow, Scotland, U.K., Sept 2002; IEEE: Piscataway, NJ, 2002; pp 127-132.
13. Cho, S. H.; Zaheer, M. Predictive control of intermittently operated radiant floor heating systems. Energy Confers. Manage. 2003, 44 (8), 1333-1342.
14. Lu, L.; Cai, W. J.; et al. HVAC system optimization-condenser water loop. Energy Convers. Manage. 2004, 45 (4), 613-663.
15. Salsbury, T. I. A temperature controller for VAV air-handling units based on simplified physical models. ASHRAE HVAC&R Res. J. 1998, 4 (3), 200-214.
16. Clarke, D. W. Generalized Predictive Control. Automatica 1987, 23 (5), 149-16.
17. Mayne, D. Q.; Rawlings, J. B.; et al. Constrained model predictive control: stability and optimality. Automatica 2000, 36 (6), 789-814.
18. Cohen, G. H.; Coon, G. A. Theoretical consideration of retarded control. ASHRAE Trans. 1953, 75 (2), 827-834.
19. Ljung, L.; Soderstrom, T. Theory and practices of recursive identification; MIT Press: Cambridge, MA, 1983; pp 24-33.