Hierarchical fuzzy control of low-energy building systems

Solar Energy

Volumn 84, Issue 4, 2010, Pages 538-548

  Yu, Zhen ^a   Dexter, Arthur ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Fuzzy; Hierarchical control; Low energy building system

Indexed keywords

ENERGY CONSUMPTION; EXPERT RULE; HEATING , VENTILATING AND AIR-CONDITIONING SYSTEMS; HIERARCHICAL CONTROL; HIERARCHICAL FUZZY; HIERARCHICAL FUZZY CONTROL; INTERIOR SPACE; LOCAL CONTROLLERS; LOW ENERGY BUILDINGS; MODE OF OPERATIONS; MODES OF OPERATION; OPTIMAL ENERGY; SECOND LEVEL; SUPERVISORY CONTROL; SUPERVISORY CONTROLLERS; THIRD LEVEL;

AIR CONDITIONING; COMPUTER SIMULATION; CONTROLLERS; FUZZY CONTROL; FUZZY RULES; HIERARCHICAL SYSTEMS; OPTIMIZATION;

SOLAR ENERGY;

AIR CONDITIONING; BUILDING; COMPUTER SIMULATION; CONTROL SYSTEM; ENERGY USE; FUZZY MATHEMATICS; HIERARCHICAL SYSTEM; OPTIMIZATION; PERFORMANCE ASSESSMENT; SOLAR POWER;

EID: 77649234435     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2009.03.014     Document Type: Article

References (19)

1. Bellman R. Dynamic Programming, Dover Paperback Edition. 2003 ed. (1957), Princeton University Press pp. 4-9
2. Braun J.E. Load control using building thermal mass. ASME Journal of Solar Energy Engineering 125 (2003) 292-301
3. Caldas L.G., and Norford L.K. Genetic algorithms for optimization of building envelopes and the design and control of hvac systems. ASME Journal of Solar Energy Engineering 125 (2003) 343-351
4. Cartmell B.P., Shankland N.J., Fiala D., and Hanby V. A multi-operational ventilated photovoltaic and solar air collector: application, simulation and initial monitoring feedback. Solar Energy 76 (2004) 45-53
5. CSTB, 1998. Simbad building and hvac toolbox version 3.0 user manual: Centre Scientifique et Technique du Batiment.
6. Drees K.H., and Braun J.E. Development and evaluation of a rule-based control strategy for ice storage systems. HVAC&R Research 2 4 (1996) 312-336
7. EAW, 2006. Absorption chiller wegracal se 15 datasheet.
8. Henze G.P. An overview of optimal control for central cooling plants with ice thermal energy storage. ASME Journal of Solar Energy Engineering 125 (2003) 302-309
9. Kintner-Meyer M., and Emery A.F. Optimal control of an hvac system using cold storage building thermal capacitance. Energy and Buildings 23 (1995) 19-31
10. Koeppel E.A., Mitchell J.W., Klein S.A., and Flake B.A. Optimal supervisory control of an absorption chiller system. HVAC&R Research 1 4 (1995) 325-342
11. Kummert M., André P., and Nicolas J. Optimal heating control in a passive solar commercial building. Solar Energy 69 (2000) 103-116
12. Lu L., Cai W., Chai Y.S., and Xie L. Global optimization for overall hvac systems - Part I problem formulation and analysis. Energy Conversion and Management 46 (2004) 999-1014
13. Muneer T., and Uppal A.H. Modelling and simulation of a solar absorption cooling system. Applied Energy 19 (1985) 209-229
14. Nagai, T., 1999. Dynamic optimization technique for control of hvac system utilizing building thermal storage. Building Simulation Kyoto, Japan, CD-c18.
15. Nassif N., Kajl S., and Sabourin R. Optimization of hvac control system strategy using two-objective genetic algorithm. HVAC&R Research 11 3 (2005) 459-486
16. Sousa J.M., Babuika R., and Verbruggen H.B. Fuzzy predictive control applied to an air-conditioning system. Control Engineering Practice 5 (1997) 1395-1406
17. Wright J.A., Loosemore H.A., and Farmani R. Optimization of building thermal design and control by multi-criterion genetic algorithm. Energy and Buildings 34 9 (2002) 959-972
18. Yager R.R. On the construction of hierarchical fuzzy systems models. IEEE Transactions on Systems, Man and Cybernetics 28 1 (1998) 55-66
19. Zhang Y., and Hanby V.I. Model-based control of renewable energy systems in buildings. HVAC&R Research Special Issue 12 3a (2006) 739-760