Title
Metodologija tehno-ekonomske optimizacije poligeneracionih sistema zasnovanih na korišćenju obnovljivih izvora energije
Creator
Mančić, Marko V. 1983-
Copyright date
2018
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 29.03.2018.
Other responsibilities
mentor
Živković, Dragoljub
član komisije
Petrović, Milan 1959-
član komisije
Vukić, Mića 1965-
član komisije
Stefanović, Vidoje 1952-
član komisije
Mitrović, Dejan
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Nišu
Faculty
Mašinski fakultet
Group
Katedra za termotehniku, termoenergetiku i procesnu tehniku
Alternative title
Мethodology for techno-economic optimization of poligeneration systems
based on utilization of renewable energy sources
Publisher
[М. М. Мančić]
Format
258 str.
description
Bibliografija: listovi 207-225
description
Thermoenergetics, thermotechnique and process engineering
Abstract (en)
Polygeneration systems transform available primary energy into different
types of final energy. Many available technologies for utilization of fossil and
renewable energy sources (RES) for decentralized energy production imply the
problem of optimal polygeneration technology.In this paper, a methodology for
techno-economic optimisation of configuration and capacity of polygeneration
systems based on RES is presented, based on research results. The methodology is
tested on two real objects: an indoor swimming pool building and a livestock farm.
Physical and mathematical models of dynamic behaviour of demand and supply of
final energy of real objects and cost function of polygeneration systems are created
for testing optimization methods. Validation is done by real object measurements,
while mathematical and optimization models are solved numerically using TRNSYS
and Genopt software. GenOpt algorytms were tested during optimisation of real
object problems, and the best algorytm for optimisation of polygeneration systems
was determined. Based on research results, a general methodology for technoeconomic
optimization of polygeneration systems based on RES is defined for
choosing technology, configuration and capacity of the system.
Authors Key words
poligeneracija, tehno-ekonomska optimizacija, metodologija
Authors Key words
polygeneration, techno-economic optimisation, methodology
Classification
620.95/.97:502.171]:519.6(043.3)
Type
Elektronska teza
Abstract (en)
Polygeneration systems transform available primary energy into different
types of final energy. Many available technologies for utilization of fossil and
renewable energy sources (RES) for decentralized energy production imply the
problem of optimal polygeneration technology.In this paper, a methodology for
techno-economic optimisation of configuration and capacity of polygeneration
systems based on RES is presented, based on research results. The methodology is
tested on two real objects: an indoor swimming pool building and a livestock farm.
Physical and mathematical models of dynamic behaviour of demand and supply of
final energy of real objects and cost function of polygeneration systems are created
for testing optimization methods. Validation is done by real object measurements,
while mathematical and optimization models are solved numerically using TRNSYS
and Genopt software. GenOpt algorytms were tested during optimisation of real
object problems, and the best algorytm for optimisation of polygeneration systems
was determined. Based on research results, a general methodology for technoeconomic
optimization of polygeneration systems based on RES is defined for
choosing technology, configuration and capacity of the system.
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