Mixed‑integer quadratic optimization for waste flow quantifcation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU145371" target="_blank" >RIV/00216305:26210/22:PU145371 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007/s11081-022-09762-z.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/s11081-022-09762-z.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11081-022-09762-z" target="_blank" >10.1007/s11081-022-09762-z</a>
Alternative languages
Result language
angličtina
Original language name
Mixed‑integer quadratic optimization for waste flow quantifcation
Original language description
The transition to a circular economy can be realized with higher waste recycling. With the knowledge of waste fows and the links between them, it is possible to plan the infrastructure of the entire system and set the goals needed for the transition to a circular economy. If the statistical analysis does not provide quality models, it is possible to describe waste fows using basic balance relationships. This contribution presents an optimization model based on quadratic programming. The output of the model is an estimate of the waste amount that was managed to divert from mixed municipal waste to separate fractions in the past period. A key input is an estimate of the composition of mixed municipal waste. For a more detailed territorial model, composition estimates are often not available, so an optimization model using the principle of credibility has been proposed. Uncertain information for lower territorial units is corrected by aggregated results for the national level. The resulting optimization models were tested on the data of the Czech Republic for the period 2010–2018 in annual detail. The result interprets what part of the newly separated waste comes from mixed municipal waste. For the signifcant monitored fractions this value is low, 0.26 for bio-waste in the Czech Republic. On the contrary, the high part of the shift from mixed municipal waste is for plastic, 0.82. The results showed the advantage of correction at lower territory levels due to the high variability of the input data.
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
10102 - Applied mathematics
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
OPTIMIZATION AND ENGINEERING
ISSN
1389-4420
e-ISSN
1573-2924
Volume of the periodical
neuveden
Issue of the periodical within the volume
27.8.2022
Country of publishing house
CH - SWITZERLAND
Number of pages
25
Pages from-to
1-25
UT code for WoS article
000846342200001
EID of the result in the Scopus database
2-s2.0-85137014705