Hu, Y;
Tan, CK;
Broughton, J;
Roach, PA;
Varga, L;
(2017)
Model-based multi-objective optimisation of reheating furnace operations using genetic algorithm.
Energy Procedia
, 142
pp. 2143-2151.
10.1016/j.egypro.2017.12.619.
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Abstract
An effective optimisation strategy for metal reheating processes is crucial for the economic operation of the furnace while supplying products of a consistent quality. An optimum reheating process may be defined as one which produces heated stock to a desired discharge temperature and temperature uniformity while consuming minimum amount of fuel energy. A strategic framework to solve this multi-objective optimisation problem for a large-scale reheating furnace is presented in this paper. For a given production condition, a model-based multi-objective optimisation strategy using genetic algorithm was adopted to determine an optimal temperature trajectory of the bloom so as to minimise an appropriate cost function. Definition of the cost function has been facilitated by a set of fuzzy rules which is easily adaptable to different trade-offs between the bloom desired discharge temperature, temperature uniformity and specific fuel consumption. A number of scenarios with respect to these trade-offs were evaluated and the results suggested that the developed furnace model was able to provide insight into the dynamic heating behaviour with respect to the multi-objective criteria. Suggest findings that current furnace practice places more emphasis on heated product quality than energy efficiency.
| Type: | Article |
|---|---|
| Title: | Model-based multi-objective optimisation of reheating furnace operations using genetic algorithm |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.egypro.2017.12.619 |
| Publisher version: | http://doi.org/10.1016/j.egypro.2017.12.619 |
| Language: | English |
| Additional information: | Copyright © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed. |
| Keywords: | zone model, reheating furnace, multi-objective optimisation, genetic algorithm |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10066193 |
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