Mixed‑integer quadratic optimization for waste flow quantifcation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Mixed‑integer quadratic optimization for waste flow quantifcation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Mixed‑integer quadratic optimization for waste flow quantifcation

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

OPTIMIZATION AND ENGINEERING

ISSN

1389-4420

e-ISSN

1573-2924

Svazek periodika

neuveden

Číslo periodika v rámci svazku

27.8.2022

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

25

Strana od-do

1-25

Kód UT WoS článku

000846342200001

EID výsledku v databázi Scopus

2-s2.0-85137014705