Hierarchical model predictive control of temperature in building zones.

doctoral thesis

• Title (croatian): Hijerarhijsko modelsko prediktivno upravljanje temperaturom u zonama zgrade.
• Author: Anita Martinčević
• Mentor: Mario Vašak (mentor)
• Committee member: Mario Vašak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Control and Computer Engineering); Zagreb
• Defense date and country: 2020, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering; Automation and Robotics
• Universal decimal classification (UDC): 621.3; APPLIED SCIENCES. MEDICINE. TECHNOLOGY; Electrical engineering

Abstract

Buildings belong to the large energy consumers class and account for 40% of worldwide primary energy consumption. Application of advanced control and diagnosis algorithms in buildings has been intensively investigated with the aim to improve their energy efficiency and bring the buildings sector into the smart city arena. In the thesis, a general methodology for minimizing thermal energy consumption using current energy sources and minimal retrofitting through the use of advanced identification and control techniques is presented and validated via simulation studies and on-line implementation on a real 248-zones skyscraper building. The developed framework paves the way to fast deployment of model-based energy management strategies in buildings and unleashes significant energy and cost-saving potentials of a smart building in a smart city. The following contributions of the developed approach are highlighted: i) a method for identification of an energy model of a system of fan coil units, which gives a direct relation between the thermal energy provided to a zone, actuation commands, heating/cooling medium conditions and the zone temperature, ii) a method for identification of a thermodynamic building model suitable for predictive control design and disturbance estimation, iii) predictive control strategy for zone temperature control and hierarchical coordination with the central heating/cooling medium conditioning system, building microgrid, smart grid or some other building subsystem sharing a common energy link with zones, iv) validation of the developed hierarchical predictive control system within a living-lab environment in terms of achieved thermal comfort and energy cost reduction, v) validation of the developed zone temperature control via on-line implementation on a full-scale skyscraper building.

Abstract (croatian)

Povećanje energetske učinkovitosti u zgradarstvu jedan je od ključnih uvjeta za smanjenje ukupne potrošnje energije u svijetu. U sklopu disertacije prezentirana je generalna metodologija za smanjenje potrošnje energije u zgradama korištenjem naprednih upravljačkih i estimacijskih algoritama uz minimalna ulaganja i korištenje trenutno dostupnih izvora energije. Razvijeni algoritmi verificirani su na simulacijskim studijama i kroz implementaciju na primjeru neboderske zgrade Sveučilišta u Zagrebu Fakulteta elektrotehnike i računarstva (FERa). Razvijenim algoritmima omogućuje se ostvarivanje značajnih ušteda energije pretvaranjem zgrada u pametne zgrade koje su sastavni dio budućih pametnih gradova. Istaknuti su sljedeći znanstveni doprinosi predloženih algoritama: i) metoda za identifikaciju energetskog modela sustava ventilokonvektora koja daje direktnu vezu između toplinske energije prenesene u zone zgrade, upravljačkih akcija na aktuatorima ventilokonvektora, stanja medija za grijanje/hlađenje i temperature zraka u zonama zgrade, ii) metoda za identifikaciju termodinamičkog modela zgrade pogodnog za upravljanje i estimaciju nemjerljivih toplinskih poremećaja po zonama zgrade, iii) strategija modelskog prediktivnog upravljanja temperaturom u zonama zgrade s mogućnošću hijerarhijske koordinacije s centralnim sustavom pripreme medija za grijanje/hlađenje, mikromrežom ili nekim drugim podsustavom zgrade koji je spregnut sa zonama preko energije, iv) validacija razvijenog sustava za hijerarhijsko prediktivno upravljanje u smislu ostvarenog komfora i ušteda energije na primjeru neboderske zgrade FERa, v) validacija razvijenih algoritama za upravljanje temperaturom u zonama zgrade implementacijom sustava za rad u stvarnom vremenu na cijeloj neboderskoj zgradi FERa.

• Keywords: building energy management system; zone comfort control; model predictive control; mathematical modelling; identication; energy eciency; comfort-savings trade-o; building thermal model; constrained unscented Kalman lter; semi-physical modelling; control-oriented fan coil unit model; hydraulic and thermodynamic modelling; multi-parametric model predictive control; hierarchical coordination.
• Keywords (croatian): gospodarenje energijom u zgradama; upravljanje komforom u zonama zgrade; modelsko prediktivno upravljanje; matematičko modeliranje; identikacija; energetska učinkovitost; termodinamički procesi u zgradama; nederivacijski Kalmanov filtar s ograničenjima; polu-fizikalno modeliranje; model ventilokonvetkora pogodan za upravljanje; hidrauličko i termodinamičko modeliranje; višeparametarsko modelsko prediktivno upravljanje; hijerarhijska koordinacija
• Language: english
• URN:NBN: urn:nbn:hr:168:049605
• Promotion: 2020
• Study programme: Title: Doctoral study programme "Electrical Engineering and Computing"; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
• Catalog URL: https://lib.fer.hr:8443/cgi-bin/koha/catalogue/detail.pl?biblionumber=51825
• Type of resource: Text
• Extent: 274 str.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-09-15 13:38:29