Publication detail

Mixed‑integer quadratic optimization for waste flow quantifcation

ŠOMPLÁK, R. SMEJKALOVÁ, V. KŮDELA, J.

Original Title

Mixed‑integer quadratic optimization for waste flow quantifcation

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

Data reconciliation; mixed-integer quadratic optimization; data aggregation; waste production; mixed municipal waste; waste fow

Authors

ŠOMPLÁK, R.; SMEJKALOVÁ, V.; KŮDELA, J.

Released

27. 8. 2022

ISBN

1389-4420

Periodical

OPTIMIZATION AND ENGINEERING

Number

27.8.2022

State

Swiss Confederation

Pages from

1

Pages to

25

Pages count

25

URL

https://link.springer.com/content/pdf/10.1007/s11081-022-09762-z.pdf

BibTex

@article{BUT178940,
  author="Radovan {Šomplák} and Veronika {Smejkalová} and Jakub {Kůdela}",
  title="Mixed‑integer quadratic optimization for waste flow
quantifcation",
  journal="OPTIMIZATION AND ENGINEERING",
  year="2022",
  number="27.8.2022",
  pages="1--25",
  doi="10.1007/s11081-022-09762-z",
  issn="1389-4420",
  url="https://link.springer.com/content/pdf/10.1007/s11081-022-09762-z.pdf"
}