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Logistic model-based tool for policy-making towards sustainable waste management

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F14%3APU109034" target="_blank" >RIV/00216305:26210/14:PU109034 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1007/s10098-014-0744-5" target="_blank" >http://dx.doi.org/10.1007/s10098-014-0744-5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10098-014-0744-5" target="_blank" >10.1007/s10098-014-0744-5</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Logistic model-based tool for policy-making towards sustainable waste management

  • Popis výsledku v původním jazyce

    The aim of this paper is to introduce a novel approach which supports facility planning in the field of waste management. Only 23 % of municipal solid waste (MSW) was thermally treated in the EU 27 in 2011. Increased exploitation of its potential for energy recovery must be accompanied by massive investments into highly-efficient and reliable incineration technologies. Therefore, the challenge is to be efficient and optimal at the same time. Even feasibility studies of every intended plant providing its service for a region creates a complex task. The gate fee (charge for waste processing in the facility) represents one of the most crucial input parameters for the assessment. The gate fee is driven by technology solution, competition, market development, environmental taxation and costs of waste transport to fill the plant capacity. Valid prediction of the gate fee thus presents a demanding task. In this paper, first, an advanced tool called NERUDA which addresses logistic optimization is introduced. The key idea is to focus on the problem of competition modelling among waste-to-energy plants, landfill sites, and mechanical-biological treatment plants producing refuse-derived fuel. Then, the main theoretical concepts are discussed and followed by the development of a suitable mathematical model. The goal is to obtain a minimized cost of MSW treatment for the waste producers (municipalities). The application of the developed tool is demonstrated through a case study, where uncertain parameters entering the calculation are handled by repetitive Monte Carlo simulation based on real-world data.

  • Název v anglickém jazyce

    Logistic model-based tool for policy-making towards sustainable waste management

  • Popis výsledku anglicky

    The aim of this paper is to introduce a novel approach which supports facility planning in the field of waste management. Only 23 % of municipal solid waste (MSW) was thermally treated in the EU 27 in 2011. Increased exploitation of its potential for energy recovery must be accompanied by massive investments into highly-efficient and reliable incineration technologies. Therefore, the challenge is to be efficient and optimal at the same time. Even feasibility studies of every intended plant providing its service for a region creates a complex task. The gate fee (charge for waste processing in the facility) represents one of the most crucial input parameters for the assessment. The gate fee is driven by technology solution, competition, market development, environmental taxation and costs of waste transport to fill the plant capacity. Valid prediction of the gate fee thus presents a demanding task. In this paper, first, an advanced tool called NERUDA which addresses logistic optimization is introduced. The key idea is to focus on the problem of competition modelling among waste-to-energy plants, landfill sites, and mechanical-biological treatment plants producing refuse-derived fuel. Then, the main theoretical concepts are discussed and followed by the development of a suitable mathematical model. The goal is to obtain a minimized cost of MSW treatment for the waste producers (municipalities). The application of the developed tool is demonstrated through a case study, where uncertain parameters entering the calculation are handled by repetitive Monte Carlo simulation based on real-world data.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10511 - Environmental sciences (social aspects to be 5.7)

Návaznosti výsledku

  • 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)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2014

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Clean Technologies and Environmental Policy

  • ISSN

    1618-954X

  • e-ISSN

    1618-9558

  • Svazek periodika

    16

  • Číslo periodika v rámci svazku

    10098

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    12

  • Strana od-do

    1275-1286

  • Kód UT WoS článku

    000342195000007

  • EID výsledku v databázi Scopus

    2-s2.0-84921068955