2018年
Exergy analysis and optimisation of naphtha reforming process with uncertainty
International Journal of Exergy
- ,
- ,
- ,
- 巻
- 26
- 号
- 3
- 開始ページ
- 247
- 終了ページ
- 262
- 記述言語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1504/IJEX.2018.093138
Copyright © 2018 Inderscience Enterprises Ltd. Conventional exergy analysis methods face the challenge of coping with the effect of process uncertainty. In thiswork,weproposed a novel framework which incorporates the concepts of uncertainty analysis and optimisation in the conventional exergy analysis. The proposed framework was realised as a MATLAB®-based algorithm which connects with an Aspen PLUS® model of naphtha reforming process, extracts process information, and calculates the process exergy efficiency. Then a statistical model, i.e., random forests (RF), combined with a bootstrap filter is used to analyse the effect of process uncertainty on the exergy efficiency. Finally, an optimisation method is devised by combining genetic algorithm (GA) with artificial neural networks (ANN). The MATLAB®- based system is supported by an extensive database of standard chemical exergies of elements. The algorithm and the database can be customised for any model simulated in the Aspen PLUS® environment.
- リンク情報
- ID情報
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- DOI : 10.1504/IJEX.2018.093138
- ISSN : 1742-8297
- eISSN : 1742-8300
- SCOPUS ID : 85049914562