Towards efficient waste management: identification of waste flow chains in micro-regional detail through monitored data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0189057" target="_blank" >RIV/00216305:26210/26:0189057 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s11081-024-09897-1" target="_blank" >https://link.springer.com/article/10.1007/s11081-024-09897-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11081-024-09897-1" target="_blank" >10.1007/s11081-024-09897-1</a>

Result language

angličtina

Original language name

Towards efficient waste management: identification of waste flow chains in micro-regional detail through monitored data

Original language description

Countries around the world are gradually implementing the transition to a circular economy in waste management. This effort should be initiated already at the waste producers. It is necessary to plan and monitor waste management in as much detail as possible, i.e. at the level of micro-regions. At present, only indicators at the national level are analysed, as more detailed data at the micro-regional level are often not available or are burdened with significant errors and inconsistencies. The calculation of waste management indicators for micro-regions will allow to identify the potential for increasing material or energy recovery and to plan the necessary infrastructure directly to these locations instead of blanket and often ineffective legislative actions. This paper presents an approach for determining the producer-treatment linkage, i.e., provides information about each produced waste, where it was treated, and in what way. Such information is often not available based on historical waste management data as there are repeated waste transfers and often aggregated within a micro-region. The network flow approach is based on an iterative procedure combining a simulation with multi-criteria optimization. The chosen criteria replicate expert estimates in investigated issue such as minimum flow splitting, and minimum transfer micro-regions. A data reconciliation is performed where the deviation from all simulations is minimized, given that the capacity constraints of nodes and arcs resulting from the database must be satisfied. The approach is tested on a generated sample task to evaluate the precision and time complexity of the developed tool. Finally, the presented approach is applied to address a case study in the Czech Republic, within which it is possible to identify treatment location and methods for waste from individual regions.

Czech name

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Czech description

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Type

J_imp - 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

Project

<a href="/en/project/SS02030008" target="_blank" >SS02030008: Centre of environmental research: Waste management, circular economy and environmetal secutiry</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

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

Name of the periodical

Optimization and engineering

ISSN

1389-4420

e-ISSN

1573-2924

Volume of the periodical

26

Issue of the periodical within the volume

1

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

22

Pages from-to

805-826

UT code for WoS article

001249372700003

EID of the result in the Scopus database

2-s2.0-85196174748