magistrsko delo
Rok Dretar (Author), Zdravko Kravanja (Mentor), Andreja Nemet (Co-mentor)

Abstract

V magistrskem delu smo preverjali dvostopenjski pristop k sintezi velikih omrežij toplotnih prenosnikov. V prvi stopnji smo s pomočjo mešano celoštevilskega linearnega programirnega (MILP) modela TransGen usmerili rešitve h globalnemu optimumu na osnovi lineariziranih ocen stroškov investicije, v drugi stopnji pa smo s pomočjo mešano celoštevilskega nelinearnega programirnega (MINLP) modela Synheat dobili končno rešitev, pri čemer smo reducirali superstrukturo na izbrane stike v prvi stopnji. Rešitev je omrežje toplotnih prenosnikov z minimalnimi celotnimi letnimi stroški. Raziskali smo, ali lahko z danim pristopom dobimo rešitve, primerljive s tistimi iz literature, v sprejemljivem času (nekaj ur), in ali lahko s tem pristopom rešujemo kompleksne primere iz industrije. V te namene smo najprej rešili primer, ki je objavljen v literaturi in vsebuje 22 toplih tokov, 17 hladnih in eno vroče ter eno mrzlo pogonsko sredstvo. Nato smo rešili problem iz industrije, ki vsebuje 43 toplih in 35 hladnih tokov, tri vroča pogonska sredstva in dve mrzli, zato da določimo, kako velike primere lahko rešujemo. Raziskava je pokazala, da smo z raziskanim pristopom uspešno tvorili velika omrežja toplotnih prenosnikov v sprejemljivem času. Rezultati, ki smo jih dobili, so nekoliko slabši od tistih iz literature. Do nekoliko slabših rezultatov pride najverjetneje zaradi precenitve investicije v prvi MILP-stopnji. Za zmanjšanje napake smo podali priporočilo za boljšo linearizacijo investicije. Predstavljena metoda je ustrezna za reševanje primerov industrijskih razsežnosti, saj smo rešitve dobili v kratkem času.

Keywords

velika omrežja toplotnih prenosnikov;dvostopenjski prenos;sinteza;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FKKT - Faculty of Chemistry and Chemical Engineering
Publisher: [R. Dretar]
UDC: 66.045.3:662.998(043.2)
COBISS: 21927958 Link will open in a new window
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Other data

Secondary language: English
Secondary title: Synthesis of large-scale heat exchanger networks
Secondary abstract: A two-stage approach to the synthesis of large-scale heat exchanger network was verified in this master’s thesis. In the first stage, we used a mixed integer linear programming (MILP) model TransGen to point the results towards a global optimum based on linearized approximations of investment cost, while in the second stage we used a mixed integer nonlinear programming (MINLP) model Synheat with a reduced superstructure to the matches picked in the first stage, to achieve the final solution of our problem. The goal of this thesis was to prove that we can use the aforementioned approach to generate results that are close to those from the literature in an acceptable time frame (a couple of hours), and that we can use the approach to synthesise large-scale heat exchanger networks on an industrial scale. We first solved a problem used in literature that contains 23 hot streams in 17 cold streams as well as one cold and one hot utility. On an industrial scale we solved a problem that contains 43 hot and 35 cold streams as well as three hot and two cold utilities. Research has proven that using the applied approach synthesises of large-scale heat exchanger networks can be carried out in an acceptable time frame. The results obtained, however, are somewhat worse than those from the literature. This is caused by an overestimation of investment costs in the first MILP stage. A new linearization strategy was proposed in order to reduce the error. In the final part, a synthesis of industrial scale heat exchanger network was performed. The results were obtained in a short time frame, which proves the applicability of the approach for solving industrial scale problems.
Secondary keywords: large-scale heat exchanger networks;two-stage approach;synheat;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za kemijo in kemijsko tehnologijo
Pages: VIII, 42 str.
ID: 10959899