Advanced

Development of an artificial neural network model for the steam process of a coal biomass cofired combined heat and power (CHP) plant in Sweden

De, S.; Kaiadi, Mehrzad LU ; Fast, Magnus LU and Assadi, Mohsen LU (2007) In Energy 32(11). p.2099-2109
Abstract
The development of a model for any energy system is required for proper design, operation or its monitoring. Models based on accurate mathematical expressions for physical processes are mostly useful to understand the actual operation of the plant. However, for large systems like combined heat and power (CHP) plants, such models are usually complex in nature. The estimation of output parameters using these physical models is generally time consuming, as these involve many iterative solutions. Moreover, the complete physical model for new equipment may not be available. However, artificial neural network (ANN) models, developed by training the network with data from an existing plant, may be very useful especially for systems for which the... (More)
The development of a model for any energy system is required for proper design, operation or its monitoring. Models based on accurate mathematical expressions for physical processes are mostly useful to understand the actual operation of the plant. However, for large systems like combined heat and power (CHP) plants, such models are usually complex in nature. The estimation of output parameters using these physical models is generally time consuming, as these involve many iterative solutions. Moreover, the complete physical model for new equipment may not be available. However, artificial neural network (ANN) models, developed by training the network with data from an existing plant, may be very useful especially for systems for which the full physical model is yet to be developed. Also, such trained ANN models have a fast response with respect to corresponding physical models and are useful for realtime monitoring of the plant. In this paper, the development of an ANN model for the biomass and coal cofired CHP plant of Visthamnsverket at Helsingborg, Sweden has been reported. The feed forward with back propagation ANN model was trained with data from this plant. The developed model is found to quickly predict the performance of the plant with good accuracy. (C) 2007 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
coal biomass cofired CHP plant, ANN modeling, steam processes
in
Energy
volume
32
issue
11
pages
2099 - 2109
publisher
Elsevier
external identifiers
  • wos:000250370500008
  • scopus:34548495142
ISSN
1873-6785
DOI
10.1016/j.energy.2007.04.008
language
English
LU publication?
yes
id
615e813b-4b3b-4528-80b7-05cccded8ada (old id 654064)
date added to LUP
2007-12-10 12:25:41
date last changed
2017-10-01 03:38:50
@article{615e813b-4b3b-4528-80b7-05cccded8ada,
  abstract     = {The development of a model for any energy system is required for proper design, operation or its monitoring. Models based on accurate mathematical expressions for physical processes are mostly useful to understand the actual operation of the plant. However, for large systems like combined heat and power (CHP) plants, such models are usually complex in nature. The estimation of output parameters using these physical models is generally time consuming, as these involve many iterative solutions. Moreover, the complete physical model for new equipment may not be available. However, artificial neural network (ANN) models, developed by training the network with data from an existing plant, may be very useful especially for systems for which the full physical model is yet to be developed. Also, such trained ANN models have a fast response with respect to corresponding physical models and are useful for realtime monitoring of the plant. In this paper, the development of an ANN model for the biomass and coal cofired CHP plant of Visthamnsverket at Helsingborg, Sweden has been reported. The feed forward with back propagation ANN model was trained with data from this plant. The developed model is found to quickly predict the performance of the plant with good accuracy. (C) 2007 Elsevier Ltd. All rights reserved.},
  author       = {De, S. and Kaiadi, Mehrzad and Fast, Magnus and Assadi, Mohsen},
  issn         = {1873-6785},
  keyword      = {coal biomass cofired CHP plant,ANN modeling,steam processes},
  language     = {eng},
  number       = {11},
  pages        = {2099--2109},
  publisher    = {Elsevier},
  series       = {Energy},
  title        = {Development of an artificial neural network model for the steam process of a coal biomass cofired combined heat and power (CHP) plant in Sweden},
  url          = {http://dx.doi.org/10.1016/j.energy.2007.04.008},
  volume       = {32},
  year         = {2007},
}