magistrsko delo
Sandi Potočnik (Author), Nenad Muškinja (Mentor)

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

nadzorni mehki regulatorji;energijski menedžment;optimizacija;komunikacija v avtomatizaciji;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [S. Potočnik]
UDC: 681.5.015.23(043.2)
COBISS: 18504982 Link will open in a new window
Views: 890
Downloads: 104
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Other data

Secondary language: English
Secondary title: ENERGY CONSUMPTION MONITORING OF HVAC SYSTEMS IN INTELLIGENT BUILDINGS
Secondary 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.
Secondary keywords: supervisiory fuzzy control;energy management;optimization;communication in automation;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Elektrotehnika
Pages: IX, 76 str.
ID: 8731169