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Title:SPREMLJANJE PORABE ENERGIJE SISTEMOV HVAC V INTELIGENTNIH ZGRADBAH
Authors:ID Potočnik, Sandi (Author)
ID Muškinja, Nenad (Mentor) More about this mentor... New window
Files:.pdf MAG_Potocnik_Sandi_2014.pdf (5,25 MB)
MD5: 0B79F2CC854E5F5F115CAB68DF5CAE76
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomi je predstavljena energetska optimizacija sistema HVAC na podlagi meritev in izboljšanega vodenja sistema z nadzornim mehkim regulatorjem. Objekt vodenja je bil zaprt sistem, ker želimo aktivno voditi želene vrednosti ključnim regulatorjem, na podlagi pridobljenega znanja o procesu. Izvedba in testiranje je bilo realizirano v okolju Matlab z OPC vmesnikom za zajem procesnih spremenljivk. Preizkušeni so bili različni režimi in parametri zveznih regulatorjev v kombinaciji z diskretnimi, nadzorni mehki regulator v kombinaciji z diskretnim ter mehki regulator za vodenje sistemov HVAC. Rezultati doseženi na laboratorijskem modelu toplotnega menjalnika in konvektorja nakazujejo na energetsko bolj učinkovito delovanje celotnega sistema.
Keywords:HVAC, Nadzorni mehki regulator, Energijski menedžment, Optimizacija, Komunikacija v avtomatizaciji
Place of publishing:Maribor
Publisher:[S. Potočnik]
Year of publishing:2014
PID:20.500.12556/DKUM-46218 New window
UDC:681.5.015.23(043.2)
COBISS.SI-ID:18504982 New window
NUK URN:URN:SI:UM:DK:IWKC8OT5
Publication date in DKUM:19.02.2015
Views:1438
Downloads:189
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:ENERGY CONSUMPTION MONITORING OF HVAC SYSTEMS IN INTELLIGENT BUILDINGS
Abstract:In master thesis an energy optimization of HVAC systems is presented based on measurements and improved supervisory control system with fuzzy logic. Development was realized on existing system, where supervisory control scheme actively drives necessary process variables (set points of local controllers) based on knowledge about the process (rules) to achieve more efficient operation. Implementation and testing has been implemented in Matlab with OPC interface for acquisition of process variables. To improve operation various regimes and sets of parameters of local controller were tested in combination with discrete controller, a scheme of fuzzy supervisory controller in combination with discrete controller, and a scheme with fuzzy controller of complete system was used. The results achieved on a laboratory model of the heat exchanger and fan coil indicate a more energy efficient operation of the entire system.
Keywords:HVAC, Supervisory fuzzy control, Energy management, Optimization, Communication in automation


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