Municipal Solid Waste Fractions and Their Source Separation: Forecasting for Large Geographical Area and Its Subregions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU134049" target="_blank" >RIV/00216305:26210/19:PU134049 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s12649-019-00764-0" target="_blank" >https://link.springer.com/article/10.1007/s12649-019-00764-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12649-019-00764-0" target="_blank" >10.1007/s12649-019-00764-0</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Municipal Solid Waste Fractions and Their Source Separation: Forecasting for Large Geographical Area and Its Subregions

Popis výsledku v původním jazyce

This paper introduces an approach toward forecasting municipal solid waste and its fractions in a large geographical area divided into subregions. A multi-commodity system, where components overlap between streams of residual waste and separately collected recyclables, is developed to predict composition, future amounts and separation efficiencies. The approach combines a reconciliation-based balancing model with regression analysis and time series analysis. Regression analysis provides models which are later used to get complete information for all nodes of tree-like structure describing the geographical area of interest. Time series analysis proposes initial models on future amounts for all fractions. The balancing model with newly formulated composition constraints corrects initial estimates, which is a key issue especially for short-time series where precise extrapolation models can hardly be secured. The developed approach contributes to analysing rational recovery targets by reflecting the current situation in individual (micro) regions and, at the same time, it exploits examples of good practice from regions with high recovery rates. Here the analogy with rigorous regression models (historical data from one region can serve as one scenario for another region) is utilised. The algorithm is demonstrated through a case study inspired by an extensive project for the Ministry of the Environment of the Czech Republic.

Název v anglickém jazyce

Municipal Solid Waste Fractions and Their Source Separation: Forecasting for Large Geographical Area and Its Subregions

Popis výsledku anglicky

This paper introduces an approach toward forecasting municipal solid waste and its fractions in a large geographical area divided into subregions. A multi-commodity system, where components overlap between streams of residual waste and separately collected recyclables, is developed to predict composition, future amounts and separation efficiencies. The approach combines a reconciliation-based balancing model with regression analysis and time series analysis. Regression analysis provides models which are later used to get complete information for all nodes of tree-like structure describing the geographical area of interest. Time series analysis proposes initial models on future amounts for all fractions. The balancing model with newly formulated composition constraints corrects initial estimates, which is a key issue especially for short-time series where precise extrapolation models can hardly be secured. The developed approach contributes to analysing rational recovery targets by reflecting the current situation in individual (micro) regions and, at the same time, it exploits examples of good practice from regions with high recovery rates. Here the analogy with rigorous regression models (historical data from one region can serve as one scenario for another region) is utilised. The algorithm is demonstrated through a case study inspired by an extensive project for the Ministry of the Environment of the Czech Republic.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

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

2019

Kód důvěrnosti údajů

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

Název periodika

Waste and Biomass Valorization

ISSN

1877-2641

e-ISSN

1877-265X

Svazek periodika

11

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

18

Strana od-do

1-18

Kód UT WoS článku

000519980600025

EID výsledku v databázi Scopus

2-s2.0-85070089971