<p>U ovom radu je prezentirana metodologija razvoja modela optimizacije<br />podsticaja proizvodnje električne i toplotne energije u<br />kogenerativnim postrojenjima koja koriste drvnu biomasu kao gorivo.<br />Model optimizacije je razvijen koristeći matematičku metodu<br />linearnog programiranja u kome je maksimizirana ukupna ekonomska<br />korist za raspoloživi iznos sredstava za podsticaje. Model<br />optimizacije je primijenjen na kogenerativna postrojenja u drvo-<br />prerađivačkoj industriji u Bosni i Hercegovini i pokazano da se<br />primjenom modela optimizacije, kroz iterativni proces, mogu odrediti<br />optimalne vrijednosti podsticaja za proizvedenu električnu i<br />toplotnu energiju koji rezultuju u maksimalnoj ukupnoj ekonomskoj<br />koristi za društvo u cjelini.</p> / <p>This thesis presents a methodology for the development of a mathematical<br />model for optimization of the level of subsidies for generating electricity and<br />heat in co-generating plants that use woody biomass as fuel. The optimization<br />model is developed using the mathematical method of linear programming to<br />maximize the total economic benefits for a defined amount of available funds<br />for subsidies. This model is applied to co-generating plants in the woodprocessing<br />industry in Bosnia and Herzegovina and shows that the application<br />of this optimization model can, through an iterative process, determine the<br />optimal levels of incentives for electricity and heat that result in the maximum<br />economic benefits for the society as a whole.</p>
Identifer | oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)101285 |
Date | 29 September 2016 |
Creators | Kulić Fahrudin |
Contributors | Gvozdenac Dušan, Grković Vojin, Stojiljković Mladen, Petrović Jovan, Gvozdenac‐Urošević Branka |
Publisher | Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, University of Novi Sad, Faculty of Technical Sciences at Novi Sad |
Source Sets | University of Novi Sad |
Language | Serbian |
Detected Language | Unknown |
Type | PhD thesis |
Page generated in 0.0021 seconds