Hierarchical fuzzy control of low-energy building systems

Journal Article · Thu Apr 15 00:00:00 EDT 2010 · Solar Energy

DOI:https://doi.org/10.1016/J.SOLENER.2009.03.014· OSTI ID:21305739

Yu, Zhen; Dexter, Arthur ^[1]

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1. Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ (United Kingdom)

A hierarchical fuzzy supervisory controller is described that is capable of optimizing the operation of a low-energy building, which uses solar energy to heat and cool its interior spaces. The highest level fuzzy rules choose the most appropriate set of lower level rules according to the weather and occupancy information; the second level fuzzy rules determine an optimal energy profile and the overall modes of operation of the heating, ventilating and air-conditioning system (HVAC); the third level fuzzy rules select the mode of operation of specific equipment, and assign schedules to the local controllers so that the optimal energy profile can be achieved in the most efficient way. Computer simulation is used to compare the hierarchical fuzzy control scheme with a supervisory control scheme based on expert rules. The performance is evaluated by comparing the energy consumption and thermal comfort. (author)

• OSTI ID: 21305739
• Journal Information: Solar Energy, Vol. 84, Issue 4; Conference: International Conference CISBAT 2007; Other Information: Elsevier Ltd. All rights reserved; ISSN 0038-092X
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
FUZZY LOGIC
LOW-ENERGY BUILDINGS
COMPUTERIZED SIMULATION
CONTROL
SOLAR HEATING SYSTEMS
OPERATION
COMPARATIVE EVALUATIONS
OCCUPANTS
ENERGY CONSUMPTION
THERMAL COMFORT
EQUIPMENT
SOLAR COOLING SYSTEMS
OPTIMIZATION
PERFORMANCE
SCHEDULES
WEATHER
SPACE HVAC SYSTEMS
ENERGY MANAGEMENT SYSTEMS
Hierarchical control