Self-Tuning Control With Fuzzy Rule-Based Supervision for Hvac Applications

Ling, Keck Voon; Dexter, A.L.; Geng, G.; Haves, P.

doi:10.1016/b978-0-08-040935-1.50037-5

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The theory of fuzzy logic and control is not discussed in this paper as there are many publications already detailing this 4,5,6,7 . Fuzzy logic has previously been used to control HVAC plant with claims of performance improvements over conventional control techniques 8,9,10,11,12,13,14,15,16,17,18,19,20,21 . The research project detailed here aimed to build on the supervisory abilities of fuzzy control using a computer model for assessment purposes.…”

Section: Fuzzy Logic As a Control Methodologymentioning

confidence: 99%

Fuzzy control strategies to provide cost and energy efficient high quality indoor environments in buildings with high occupant densities

Shepherd¹,

Batty²

2003

Building Services Engineering Research and Technology

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Since the oil crises of the 1970s building professionals have become increasingly aware of the effects of their design decisions on the energy consumption rates in buildings. Often this has led to strategies that have compromised aspects of human requirements such as thermal comfort or air quality. When this has been combined with an architectural approach that often takes little heed of local climate or custom the result has been uncomfortable buildings that are disliked by and have often affected the health of their occupants.The comfort of building occupants is dependant on many environmental parameters including those provided by the building envelope, building environmental services and control systems. Inadequate design and control can lead to reductions of occupant comfort, energy ef ciency and cost ef ciency. To achieve a high quality internal environment with good energy and cost ef ciencies, the interactions between the contributory factors must be taken into consideration. An examination of the notion of indoor environmental quality and the potential for control strategies and methodologies for this multivariate problem are considered within the contexts of energy ef ciency and running costs. The use of fuzzy logic control is examined as a technical response to this dilemma. A high level fuzzy supervisor was used to make control decisions on the best course of action to achieve high levels of indoor environmental quality while taking into account effects on energy and cost ef ciency. Simulation results indicated the potential for improvements in system operation. List of symbols BPbuilding performance CE cost ef ciency CO2 error zone CO 2 concentration error from set point (ppm) CO2 z zone air CO 2 concentration (ppm)

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