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17 May 2022 Modeling and multi-objective optimization of biogas high pressure water scrubbing
Shengdong Xie, Lijuan Li, Shipin Yang
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Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 1225943 (2022) https://doi.org/10.1117/12.2639267
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China
Abstract
For the problem of modeling and optimization of biogas high pressure water scrubbing (HPWS) process, this paper proposes an adaptive online sequential extreme learning machine (AOS-ELM) modeling method and a novel multiobjective differential evolutionary (NMODE) optimization method. AOS -ELM established the adaptive models successfully for the product gas quality and equipment energy consumption. Compared with other four algorithms mentioned in this paper, the models obtained by our proposed AOS-ELM modeling method are of higher prediction accuracy. Furthermore, considering that the two goals of product gas quality and energy consumption are contradictory, the proposed NMODE outperforms the other two methods (NSGA-II and MODE) in terms of Pareto diversity and distribution, which means that our overall achievements are helpful and can provide enterprise decision makers with better operating conditions candidate sets in the HPWS process.
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Shengdong Xie, Lijuan Li, and Shipin Yang "Modeling and multi-objective optimization of biogas high pressure water scrubbing", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 1225943 (17 May 2022); https://doi.org/10.1117/12.2639267
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KEYWORDS
Biogases
Optimization (mathematics)
Data modeling
Mathematical modeling
Process modeling
Evolutionary algorithms
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