Heuristic Approximation and Optimization for Waste-to-Energy Capacity Expansion Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU121717" target="_blank" >RIV/00216305:26210/16:PU121717 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Heuristic Approximation and Optimization for Waste-to-Energy Capacity Expansion Problem
Original language description
The following paper is devoted to the construction of new waste-to-energy plants in a territory where is already another fossil-fuel power station built. The aim is to create a mathematical model and show that those two devices are able to cooperate effectively. The related mathematical programs are developed, linked, and implemented in GAMS. For computational purposes a specific heuristic that optimizes unknown approximated profit function relating IRR and plant capacity is considered. The built models focus on operational policies and can be characterised as non-linear integer programs. The optimization software GAMS is used for their calculation. Because of the model complexity the solution process starting in a certain initial point may end in a local optima or not found any at all. So, the paper also focuses on the elimination of nonlinear terms by using binary variables in such a way that the transformed optimization program can be solved within acceptable time limits and the suboptimal solution is reached.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel Journal series
ISSN
1803-3814
e-ISSN
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Volume of the periodical
2016
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
123-130
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85014971385