Title: Exergy analysis and optimisation of naphtha reforming process with uncertainty

Authors: Asad Ullah Akram; Iftikhar Ahmad; Arshad Chughtai; Manabu Kano

Addresses: School of Chemical and Materials Engineering, National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan ' School of Chemical and Materials Engineering, National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan ' School of Chemical and Materials Engineering, National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan ' Department of Systems Science, Kyoto University, Kyoto, 606-8501, Japan

Abstract: Conventional exergy analysis methods face the challenge of coping with the effect of process uncertainty. In this work, we proposed 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.

Keywords: exergy analysis; naphtha reforming process; uncertainty quantification; bootstrap filter; genetic algorithm.

DOI: 10.1504/IJEX.2018.093138

International Journal of Exergy, 2018 Vol.26 No.3, pp.247 - 262

Received: 04 Aug 2017
Accepted: 17 Nov 2017

Published online: 29 Jun 2018 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article