Stratification and multi-representative optimization approach to waste composition analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU141181" target="_blank" >RIV/00216305:26210/21:PU141181 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/21:10433757

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s11081-021-09645-9" target="_blank" >https://link.springer.com/article/10.1007/s11081-021-09645-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11081-021-09645-9" target="_blank" >10.1007/s11081-021-09645-9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Stratification and multi-representative optimization approach to waste composition analysis

Popis výsledku v původním jazyce

The amounts of mixed municipal waste in the EU countries differ during the last decades. Waste composition is influenced especially by the recent trends in the packaging of products that are daily purchased and the attitude towards sorting of municipal solid waste. Waste composition is one of the most important factors that shape future waste management planning. The sortable waste fraction in the mixed municipal waste specifies the potential for an increase in separation efficiency. The composition of the waste can be determined via analysis, but only a limited number of such analyses can be carried out. Moreover, the respective analysis is a challenging task and presents a complex statistical problem which must reflect many aspects of human activity. Appropriate waste sampling based on spatial stratification is crucial to estimate the waste composition quality in different regions. The waste samples for analysis are defined using principles of operational research to cover the regional variability. Mathematical models are developed to identify optimum clustering of waste generation areas. The principals and practice from local investigations are used to reveal waste composition. Decisions are made as to where to sample the waste and how many representative samples are necessary to faithfully describe the waste composition in the entire area. This means that suitable division into sub-areas and optimal choice of representative sub-areas in the sense of waste composition must be made. These results are then used to design the waste treatment infrastructure. The described approach to waste composition is also shown via a micro-region-level case study.

Název v anglickém jazyce

Stratification and multi-representative optimization approach to waste composition analysis

Popis výsledku anglicky

The amounts of mixed municipal waste in the EU countries differ during the last decades. Waste composition is influenced especially by the recent trends in the packaging of products that are daily purchased and the attitude towards sorting of municipal solid waste. Waste composition is one of the most important factors that shape future waste management planning. The sortable waste fraction in the mixed municipal waste specifies the potential for an increase in separation efficiency. The composition of the waste can be determined via analysis, but only a limited number of such analyses can be carried out. Moreover, the respective analysis is a challenging task and presents a complex statistical problem which must reflect many aspects of human activity. Appropriate waste sampling based on spatial stratification is crucial to estimate the waste composition quality in different regions. The waste samples for analysis are defined using principles of operational research to cover the regional variability. Mathematical models are developed to identify optimum clustering of waste generation areas. The principals and practice from local investigations are used to reveal waste composition. Decisions are made as to where to sample the waste and how many representative samples are necessary to faithfully describe the waste composition in the entire area. This means that suitable division into sub-areas and optimal choice of representative sub-areas in the sense of waste composition must be made. These results are then used to design the waste treatment infrastructure. The described approach to waste composition is also shown via a micro-region-level case study.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

<a href="/cs/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategické partnerství pro environmentální technologie a produkci energie</a><br>

Návaznosti

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

Rok uplatnění

2021

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

22

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

28

Strana od-do

1-28

Kód UT WoS článku

000655068100001

EID výsledku v databázi Scopus

2-s2.0-85106516874