Waste bunker size optimization under uncertainty: Application of inventory models with real data simulation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63570818" target="_blank" >RIV/70883521:28140/23:63570818 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.seta.2023.103478" target="_blank" >https://doi.org/10.1016/j.seta.2023.103478</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.seta.2023.103478" target="_blank" >10.1016/j.seta.2023.103478</a>
Alternative languages
Result language
angličtina
Original language name
Waste bunker size optimization under uncertainty: Application of inventory models with real data simulation
Original language description
Waste-to-Energy (WtE) technologies play a prominent role in recovering energy from waste. One of the aspects ensuring the operability and economic sustainability of WtE plants is the size optimization of a waste bunker assigned to each WtE plant, whose main target is to ensure waste homogeneity for effective operation. Each WtE plant faces various uncertain challenges, such as planned and unplanned shutdowns during which the plant is inactive and not ideally coordinated with waste collection companies, further importing the collected waste into the waste bunker, mainly due to existing contracts. This work aims to develop a scenario-based model to support strategic capacity planning by capturing various uncertain attributes and optimizing the waste bunker size while minimizing the total costs composing the investment, inventory, and waste shortage costs. The model is tested on a case study from the Czech Republic. The main result can be summarized such that for a specific case of a newly situated WtE facility with a considered capacity of 100kt/y, the model suggests a bunker of size ca. 4,200m3 for a middle scenario. However, this is strongly related to other attributes of a particular WtE project (e.g., waste properties or cost parameters). © 2023 Elsevier Ltd
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/GJ20-00091Y" target="_blank" >GJ20-00091Y: Development of Sustainable Waste Management: Methods and Operations Research Perspectives</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sustainable Energy Technologies and Assessments
ISSN
2213-1388
e-ISSN
2213-1396
Volume of the periodical
60
Issue of the periodical within the volume
Neuveden
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
1-11
UT code for WoS article
001159357600001
EID of the result in the Scopus database
2-s2.0-85172674641