Hybrid fuzzy logic control strategies for hot water district heating systems

Hybrid fuzzy logic control (FLC) strategies for hot water district heating (HWDH) systems are designed. A non-linear dynamic model of a HWDH system (heated floor area 90 000 m2) with 21 dynamic equations is developed. The dynamic model consists of a boiler, pipe network, heaters and buildings. Six different hybrid control strategies involving FL and PI control were designed to regulate fuel firing rate, water flow rate or water temperature in the system. Simulation results show that the control strategies, based on the use of return water temperature and indoor air temperature predictor (IATP), give good zone temperature control. Pumping costs were reduced by modulating water flow rate in the system. Results also showed that the proposed hybrid control strategies could save up to 17% energy in buildings.

[1]  J. D. Katzberg,et al.  A fuzzy logic and rough sets controller for HVAC systems , 1995, IEEE WESCANEX 95. Communications, Power, and Computing. Conference Proceedings.

[2]  Emre Kaymaz,et al.  Adaptive environmental control for optimal energy consumption in hospitals , 1995, Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems.

[3]  M. Zaheer-Uddin,et al.  A control strategy for energy optimal operation of a direct district heating system , 2004 .

[4]  Michio Sugeno,et al.  Industrial Applications of Fuzzy Control , 1985 .

[5]  Mo-Yuen Chow,et al.  Application of functional link neural network to HVAC thermal dynamic system identification , 1998, IEEE Trans. Ind. Electron..

[6]  Refrigerating.  ASHRAE handbook of fundamentals , 1967 .

[7]  Hao Ying,et al.  Fuzzy Control and Modeling: Analytical Foundations and Applications , 2000 .

[8]  Nick Sigrimis,et al.  FUZZY LOGIC CONTROLLER DESIGN FOR STAGED HEATING AND VENTILATING SYSTEMS , 2000 .

[9]  Lilong Cai,et al.  Decentralized nonlinear adaptive control of an HVAC system , 2002 .

[10]  Felix Felgner,et al.  Simulation of Thermal Building Behaviour in Modelica , 2002 .

[11]  G. Lachiver,et al.  A fuzzy control system based on the human sensation of thermal comfort , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[12]  Jose M. Benjorge,et al.  Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms , 2003 .

[13]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[14]  A. L. Dexter,et al.  An inferential control scheme for optimizing the operation of boilers in multi-zone heating systems , 2003 .

[15]  Tong Heng Lee,et al.  Robust PI controller design for nonlinear systems via fuzzy modeling approach , 2001, IEEE Trans. Syst. Man Cybern. Part A.