Computational system for simulation and forecasting in waste management incomplete data problem

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU115209" target="_blank" >RIV/00216305:26210/15:PU115209 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3303/CET1545128" target="_blank" >http://dx.doi.org/10.3303/CET1545128</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3303/CET1545128" target="_blank" >10.3303/CET1545128</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Computational system for simulation and forecasting in waste management incomplete data problem

Popis výsledku v původním jazyce

In this contribution, we present a tool for verification and forecasting of current and future production of residual municipal waste and its lower heating value (LHV) to support WTE design process. Newly developed tool JUSTINE is introduced. From the principal point of view it is a wait-and-see optimization model recursively applied to region divided into several subregions and also their parts. It processes variety of spatially distributed statistical data bound together through equations and constraints. This data is supposed to be incomplete (some local information might be unavailable) and uncertain. The wait-and-see optimization model is used to obtain point estimates of desired parameters that can be used for waste production and LHV forecasts.In addition, for randomly simulated input data reflecting real-world uncertainties empirical confidence intervals of input and output values can be computed. The practical contribution of this tool is presented through a case study.

Název v anglickém jazyce

Computational system for simulation and forecasting in waste management incomplete data problem

Popis výsledku anglicky

In this contribution, we present a tool for verification and forecasting of current and future production of residual municipal waste and its lower heating value (LHV) to support WTE design process. Newly developed tool JUSTINE is introduced. From the principal point of view it is a wait-and-see optimization model recursively applied to region divided into several subregions and also their parts. It processes variety of spatially distributed statistical data bound together through equations and constraints. This data is supposed to be incomplete (some local information might be unavailable) and uncertain. The wait-and-see optimization model is used to obtain point estimates of desired parameters that can be used for waste production and LHV forecasts.In addition, for randomly simulated input data reflecting real-world uncertainties empirical confidence intervals of input and output values can be computed. The practical contribution of this tool is presented through a case study.

Druh

D - Stať ve sborníku

CEP obor

JP - Průmyslové procesy a zpracování

OECD FORD obor

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Projekt

<a href="/cs/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 18th International Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES 2015)

ISBN

978-88-95608-36-5

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

763-768

Název nakladatele

Aidic Servizi Srl

Místo vydání

Miláno, Itálie

Místo konání akce

Kuching

Datum konání akce

23. 8. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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