Combined heat and power production planning in a waste-to-energy plant on a short-term basis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU117545" target="_blank" >RIV/00216305:26210/15:PU117545 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.energy.2015.05.077" target="_blank" >http://dx.doi.org/10.1016/j.energy.2015.05.077</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.energy.2015.05.077" target="_blank" >10.1016/j.energy.2015.05.077</a>

Result language

angličtina

Original language name

Combined heat and power production planning in a waste-to-energy plant on a short-term basis

Original language description

In many cases, WtE (waste-to-energy) plants are CHP (combined heat and power) producers. They are often integrated into a central heating system and they also export electricity to the grid. Therefore, they have to plan their operation on a long-term basis (months, years) as well as on a short-term basis (hours, days). Simulation models can effectively support decision making in CHP production planning. In general, CHP production planning on a short-term basis is a challenging task for WtE plants. This article presents a simulation based support. It is demonstrated on an example involving a real WtE plant. Most of the models of relevant WtE sub-systems (boilers, steam turbine) are developed using operational data and applying linear regression and artificial neural network technique. The process randomness given mainly by fluctuating heating value of waste leads to uncertainty in a calculation of CHP production and a stochastic approach is appropriate. The models of the sub-systems are, therefore, extended of a stochastic part and Monte-Carlo simulation is applied. Compared to the current planning strategy in the involved WtE plant, the stochastic simulation based planning provides increased CHP production resulting in better net thermal efficiency and increased revenue. This is demonstrated through a comparison using real operational data.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20704 - Energy and fuels

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2015

Confidentiality

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

Name of the periodical

Energy

ISSN

0360-5442

e-ISSN

1873-6785

Volume of the periodical

neuveden

Issue of the periodical within the volume

90

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

137-147

UT code for WoS article

000364248100014

EID of the result in the Scopus database

2-s2.0-84933544648