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Unique complex tools supporting decision/making in waste management

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU119499" target="_blank" >RIV/00216305:26210/16:PU119499 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Unique complex tools supporting decision/making in waste management

  • Popis výsledku v původním jazyce

    In this contribution, a unique complex approach towards modeling of future changes in different waste flows between producers and processors (processing facilities) in an investigated region is introduced first. The approach consists of an application of two original tools NERUDA and JUSTYNE. NERUDA stands for an advanced network flow optimization model. It is able to handle a network with hundreds nodes representing waste producers and facilities (i.e. landfills, mechanical-biological treatment, waste-to-energy. These nodes are interconnected by a model of transportation infrastructure obtained from GIS (Graphical Information Systems). The processing capacities and collection areas of single facilities are proposed based on economic performance of each locality, specific local conditions and waste transportation. The second tool JUSTYNE represents a computational system for simulation and forecasting in waste management incomplete data problems. From the mathematical pal point of view it is a wait-and-see optimization model recursively applied to region divided into several sub-regions and also their parts. It processes variety of spatially distributed statistical data (data related from different regions) bound together through equations and constraints (e.g. mass and energy balances). This data is supposed to be incomplete (some local information might be unavailable or data from some regions are completely missing) and uncertain (the quality of some data is supposed to be poor or of lower relevance). The wait-and-see optimization model (sensitivity analysis) is used to obtain point estimates of desired parameters. JUSTYNE generates inputs for NERUDA. These are mainly future predictions about separate-collection rates, amount of residual waste or its composition. An effective cooperation of these tools will be presented via several examples. For instance, they have been used within complex study for the Ministry of Environment of the Czech Republic. This study p

  • Název v anglickém jazyce

    Unique complex tools supporting decision/making in waste management

  • Popis výsledku anglicky

    In this contribution, a unique complex approach towards modeling of future changes in different waste flows between producers and processors (processing facilities) in an investigated region is introduced first. The approach consists of an application of two original tools NERUDA and JUSTYNE. NERUDA stands for an advanced network flow optimization model. It is able to handle a network with hundreds nodes representing waste producers and facilities (i.e. landfills, mechanical-biological treatment, waste-to-energy. These nodes are interconnected by a model of transportation infrastructure obtained from GIS (Graphical Information Systems). The processing capacities and collection areas of single facilities are proposed based on economic performance of each locality, specific local conditions and waste transportation. The second tool JUSTYNE represents a computational system for simulation and forecasting in waste management incomplete data problems. From the mathematical pal point of view it is a wait-and-see optimization model recursively applied to region divided into several sub-regions and also their parts. It processes variety of spatially distributed statistical data (data related from different regions) bound together through equations and constraints (e.g. mass and energy balances). This data is supposed to be incomplete (some local information might be unavailable or data from some regions are completely missing) and uncertain (the quality of some data is supposed to be poor or of lower relevance). The wait-and-see optimization model (sensitivity analysis) is used to obtain point estimates of desired parameters. JUSTYNE generates inputs for NERUDA. These are mainly future predictions about separate-collection rates, amount of residual waste or its composition. An effective cooperation of these tools will be presented via several examples. For instance, they have been used within complex study for the Ministry of Environment of the Czech Republic. This study p

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

    JP - Průmyslové procesy a zpracování

  • OECD FORD obor

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)

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Proceedings of 6th International Conference on Engineering for Waste and Biomass Valorisation (WasteEng 2016) Ed. Nzihou A.

  • ISBN

    979-10-91526-05-0

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    15

  • Strana od-do

    1-15

  • Název nakladatele

    WasteEng2016 Conference, Albi Mines/ Carmaux

  • Místo vydání

    Albi, France

  • Místo konání akce

    Albi

  • Datum konání akce

    23. 5. 2016

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku