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A new fuzzy-based supervisory control concept for the demand responsive optimization of HVAC control systems

: Bernard, T.; Kuntze, H.-B.

Postprint urn:nbn:de:0011-px-261596 (633 KByte PDF)
MD5 Fingerprint: f5fd9fae0e5ada752f63626aba370129
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Erstellt am: 23.12.1999

IEEE Control Systems Society:
37th IEEE Conference on Decision and Control 1998. Proceedings. Vol.3
Piscataway/NJ: IEEE Customer Center, 1998
ISBN: 0-7803-4394-8
ISBN: 0-7803-4395-6
ISBN: 0-7803-4396-4
ISBN: 0-7803-4397-2
Conference on Decision and Control <37, 1998, Tampa/Fla.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IITB ( IOSB) ()
comfort; Fuzzy control; HVAC; optimization

In many cases the user of multi-variable control systems is interested in operating them in a demand- or event-responsive manner according to various, sometimes opposing performance criteria. E.g. within well isolated low-energy houses there is an increasing requirement to coordinate the control of heating, ventilation and air conditioning systems (HVAC) in such a way that both economy and comfort criteria can be considered with a user-specific tradeoff. In order to find an on-line solution of this multiobjective process optimization problem, a new supervisory control concept has been developed at IITB. By means of a simple slide button the user is enable to choose his individual weighting factors for the economy and comfort criteria which are taken to optimize the reference commands of heating and ventilation controllers. The disturbing influence ofexternal climate changes is considered as well as variations of the room occupancy. The performance of the fuzzy-based multiobjective optimization concept which has been implemented and is being trialled in a test environment at IITB is analyzed and discussed by means of practice-relevant simulation results.