The University of Southampton
University of Southampton Institutional Repository

Multi-objective optimization of operational variables in a waste incineration plant

Multi-objective optimization of operational variables in a waste incineration plant
Multi-objective optimization of operational variables in a waste incineration plant
One of the primary objectives of the operation of a waste incineration plant is to maximise throughput. However, increasing throughput can intensify the loading on the gas-clean-up system and also cause a violation of operational constraints. This may result in penalty costs due to excessive pollution emissions and the need for increased maintenance. Therefore, a multi-objective strategy is required to optimize plant operation in terms of economic and environmental goals, and operational constraints.
This paper develops a supervisory level optimization tool for a waste incineration plant, which utilises a multi-objective genetic algorithm (MOGA). A MOGA is ideally suited to providing decision support to a human operator because it returns a Pareto-optimal set of solutions; this allows the user to transparently assess the benefits and penalties associated with a range of candidate control decisions. Specifically, the tool enables controllable parameters to be adjusted for maximum throughput, whilst minimising emissions and keeping within operational constraints. The optimization procedure is independent of plant construction and waste stream input, and is demonstrated here on the model of a municipal solid waste incineration plant.
waste incineration, multi-objective optimization, genetic algorithms
0098-1354
1121-1130
Anderson, S.R.
22672aff-8359-4703-aa27-659f85db215a
Kadirkamanathan, V.
944ce8e4-3f64-4e0a-9809-29355ee6294b
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Sharifi, V.
7511a83d-b3bf-40f7-91b5-2543333b8b35
Swithenbank, J.
0bf17bc0-47bc-4b34-ba5b-62afbb0382d2
Anderson, S.R.
22672aff-8359-4703-aa27-659f85db215a
Kadirkamanathan, V.
944ce8e4-3f64-4e0a-9809-29355ee6294b
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Sharifi, V.
7511a83d-b3bf-40f7-91b5-2543333b8b35
Swithenbank, J.
0bf17bc0-47bc-4b34-ba5b-62afbb0382d2

Anderson, S.R., Kadirkamanathan, V., Chipperfield, A.J., Sharifi, V. and Swithenbank, J. (2005) Multi-objective optimization of operational variables in a waste incineration plant. Computers and Chemical Engineering, 29 (5), 1121-1130. (doi:10.1016/j.compchemeng.2004.12.001).

Record type: Article

Abstract

One of the primary objectives of the operation of a waste incineration plant is to maximise throughput. However, increasing throughput can intensify the loading on the gas-clean-up system and also cause a violation of operational constraints. This may result in penalty costs due to excessive pollution emissions and the need for increased maintenance. Therefore, a multi-objective strategy is required to optimize plant operation in terms of economic and environmental goals, and operational constraints.
This paper develops a supervisory level optimization tool for a waste incineration plant, which utilises a multi-objective genetic algorithm (MOGA). A MOGA is ideally suited to providing decision support to a human operator because it returns a Pareto-optimal set of solutions; this allows the user to transparently assess the benefits and penalties associated with a range of candidate control decisions. Specifically, the tool enables controllable parameters to be adjusted for maximum throughput, whilst minimising emissions and keeping within operational constraints. The optimization procedure is independent of plant construction and waste stream input, and is demonstrated here on the model of a municipal solid waste incineration plant.

PDF
ande_04.pdf - Accepted Manuscript
Download (3MB)

More information

Published date: 2005
Keywords: waste incineration, multi-objective optimization, genetic algorithms

Identifiers

Local EPrints ID: 23158
URI: https://eprints.soton.ac.uk/id/eprint/23158
ISSN: 0098-1354
PURE UUID: c08bc319-a0e2-4eb1-95b8-22bf17f05417
ORCID for A.J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

Catalogue record

Date deposited: 15 Mar 2006
Last modified: 06 Jun 2018 12:46

Export record

Altmetrics

Contributors

Author: S.R. Anderson
Author: V. Kadirkamanathan
Author: V. Sharifi
Author: J. Swithenbank

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×