1. bookVolume 29 (2021): Issue 1 (March 2021)
Journal Details
License
Format
Journal
eISSN
2450-5781
First Published
30 Mar 2017
Publication timeframe
4 times per year
Languages
English
access type Open Access

Sustainable Coal Supply Chain Management Using Exergy Analysis and Genetic Algorithm

Published Online: 02 Dec 2020
Volume & Issue: Volume 29 (2021) - Issue 1 (March 2021)
Page range: 44 - 53
Received: 01 Jul 2020
Accepted: 01 Oct 2020
Journal Details
License
Format
Journal
eISSN
2450-5781
First Published
30 Mar 2017
Publication timeframe
4 times per year
Languages
English
Abstract

Environmental threats of coal usage in the electricity production combined with the consumption of renewable and non-renewable resources had led to worldwide energy challenges. The cost of coal mining and economical and environmentally sustainable usage of mined coal could be optimized by efficient management of coal supply chain. This paper provides a mathematical model for improving coal supply chain sustainability including the cost of exergy destruction (entropy). In the proposed method, exergy analysis is used to formulate the model considering not only economic costs but also destructed exergy cost, while genetic algorithm is applied to efficiently solve the proposed model. In order to validate the proposed methodology, some numerical examples of coal supply chains are presented and discussed to show the usability of the proposed exergetic coal supply chain model and claim its benefits over the existing models. According to the results, the proposed method provides 17.6% saving in the consumed exergy by accepting 2.7% more economic costs. The presented model can be used to improve the sustainability of coal supply chain for either designing new projects or upgrading existing processes.

Keywords

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