Journal article 891 views 258 downloads
Data-driven multi-objective optimisation of coal-fired boiler combustion systems
Applied Energy, Volume: 229, Pages: 446 - 458
Swansea University Author: Alma Rahat
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DOI (Published version): 10.1016/j.apenergy.2018.07.101
Abstract
Data-driven multi-objective optimisation of coal-fired boiler combustion systems
Published in: | Applied Energy |
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ISSN: | 0306-2619 |
Published: |
Elsevier BV
2018
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa52254 |
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Keywords: |
Evolutionary multi-objective optimization under uncertainty; Coal combustion optimisation; NOx; Unburned carbon content in fly ash; Gaussian processes; Probabilistic dominance |
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College: |
Faculty of Science and Engineering |
Start Page: |
446 |
End Page: |
458 |