prikaz prve stranice dokumenta HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI
  Download
PDF 23.56 MB
doctoral thesis
HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI
2019. urn:nbn:hr:200:713332
Belić, Filip
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Cite this document

Belić, F. (2019). HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI (Doctoral thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:713332

Belić, Filip. "HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:713332

Belić, Filip. "HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:713332

Belić, F. (2019). 'HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI', Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 31 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:713332

Belić F. HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI [Doctoral thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2019 [cited 2024 December 31] Available at: https://urn.nsk.hr/urn:nbn:hr:200:713332

F. Belić, "HIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI", Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:200:713332

Please login to the repository to save this object to your list.
Metadata
TitleHIBRIDNA METODA ZA IZRADU TERMODINAMIČKOG MODELA ZGRADE TEMELJENA NA OTPORNIČKOKAPACITIVNOJ ANALOGIJI
Title (english)Hybrid Method for Dynamic Thermal Modelling of Buildings Based on the Resistance- Capacitance Analogy
AuthorFilip Belić
MentorŽeljko Hocenski (mentor)
Committee memberDražen Slišković (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2019-02-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Automation and Robotics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
U ovoj disertaciji istražena je izrada termodinamičkog modela zgrade i HVAC sustava, s namjerom da se model koristi kao temelj upravljanja u modelskom prediktivnom upravljanju, a sve s ciljem poboljšavanja energetske učinkovitosti u zgradi. Cilj istraživanja bio je razvoj metode za izradu hibridnog termodinamičkog modela zgrade tipa siva kutija koji se temelji na otporničkokapacitivnoj analogiji za određivanje strukture modela i te određivanju parametara modela na temelju raspoloživih mjernih podataka. Predstavljen je algoritam koji omogućuje automatiziranu izradu strukture termodinamičkog modela zgrade u obliku prostora stanja iz građevinskog nacrta zgrade. Početni parametri modela postavljaju se na temelju nazivnih podataka o svojstvima korištenih materijala, no u drugom koraku koriste se mjerenja sa zgrade za prilagodbu modela kroz prepodešavanje njegovih parametara. Za prilagodbu se koristi minimalizacija funkcije greške definirane razlikom između mjerenja i izlaza modela. Razvijena metoda i njome dobiveni modeli testirani su korištenjem mjernih podataka sa stvarne zgrade te uspoređeni s mjerenjima i rezultatima dobivenim pomoću umjetnih neuronskih mreža. Rezultati pokazuju da se predložena metoda može koristiti za automatiziranu izradu termodinamičkog modela zgrade, s rezultatima koji su dovoljno točni za korištenje u modelskom prediktivnom upravljanju, a usporedba pokazuje da hibridni model daje bolje rezultate od umjetnih neuronskih mreža.
Abstract (english)
This thesis investigates the development of thermodynamic model of building and HVAC system, with purpose of using this model as a basis for Model Predictive Control, with goal of increasing the energy efficiency in buildings. The goal of the research was to develop a method for developing grey-box thermodynamic model of building based on resistance-capacitance analogy for structure of model and estimation of model parameters based on available measured data. It proposes an algorithm that enables automated development of structure of thermodynamic model in state-space representation based on construction drawing of building. Initial parameters of the model are based on nominal information of building materials' properties, but in second step, measured data from a building are used for fitting of model. The fitting is accomplished by minimization of error-function defined as difference between the measurements and outputs of the model. The method and developed models are tested with data from a real building and compared to measurements and results from Artificial Neural Network. Results show that proposed method enables automated development of thermal model of building, with results acceptable for use in Model Predictive Control, while comparison shows that hybrid model gives better results than Artificial Neural Network.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:713332
Promotion2019-02-01
Study programmeTitle: Postgraduate doctoral study programme; specializations in: branch Power Engineering and Communications, branch Informatics
Course: branch Informatics
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-03-29 16:07:23