Waste-to-energy plant operation planning based on stochastic simulation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F14%3APU110290" target="_blank" >RIV/00216305:26210/14:PU110290 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3303/CET1439113" target="_blank" >http://dx.doi.org/10.3303/CET1439113</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3303/CET1439113" target="_blank" >10.3303/CET1439113</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Waste-to-energy plant operation planning based on stochastic simulation

Popis výsledku v původním jazyce

In many cases, waste-to-energy (WtE) plants are combined heat and power producers. They are often integrated into a central heating system and they also export electricity to a grid. Therefore, they have to plan their operation for the next day, next month, etc. However, it may be a challenging task due to stochastic nature of some input variables such as varying lower heating value of waste, boiler performance resulting in fluctuating steam parameters, irregular internal steam consumption or its export. This paper presents a novel tool for a WtE plant operation planning under uncertainty. The crucial part of the tool is a stochastic model of a technology. The stochastic model was developed using operational data from an existing plant. The model was then implemented into simulation tool and well-known Monte Carlo simulation method was applied. Utilization of simulation results for operation planning is described on an example and the contribution of stochastic approach is evaluated using historical data.

Název v anglickém jazyce

Waste-to-energy plant operation planning based on stochastic simulation

Popis výsledku anglicky

In many cases, waste-to-energy (WtE) plants are combined heat and power producers. They are often integrated into a central heating system and they also export electricity to a grid. Therefore, they have to plan their operation for the next day, next month, etc. However, it may be a challenging task due to stochastic nature of some input variables such as varying lower heating value of waste, boiler performance resulting in fluctuating steam parameters, irregular internal steam consumption or its export. This paper presents a novel tool for a WtE plant operation planning under uncertainty. The crucial part of the tool is a stochastic model of a technology. The stochastic model was developed using operational data from an existing plant. The model was then implemented into simulation tool and well-known Monte Carlo simulation method was applied. Utilization of simulation results for operation planning is described on an example and the contribution of stochastic approach is evaluated using historical data.

Druh

D - Stať ve sborníku

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

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 17th CONFERENCE ON PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION PRES 2014

ISBN

978-88-95608-30-3

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

673-678

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Prague

Datum konání akce

23. 8. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000346757600113