Publication detail
Combined heat and power production planning in a waste-to-energy plant on a short-term basis
TOUŠ, M. PAVLAS, M. PUTNA, O. STEHLÍK, P. CRHA, L.
English title
Combined heat and power production planning in a waste-to-energy plant on a short-term basis
Type
journal article in Web of Science
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
Waste-to-energy; Short-term; Combined heat and power; Black-box modelling; Planning; Stochastic simulation
RIV year
2015
Released
30.06.2015
ISSN
0360-5442
Number
90
Pages from–to
137–147
Pages count
11
BIBTEX
@article{BUT121007,
author="Michal {Touš} and Martin {Pavlas} and Ondřej {Putna} and Petr {Stehlík} and Lukáš {Crha},
title="Combined heat and power production planning in a waste-to-energy plant on a short-term basis",
year="2015",
number="90",
month="June",
pages="137--147",
issn="0360-5442"
}