A Hybrid Fuzzy MCDM Approach to Identify Critical Factors and CO2 Capture Technology for Sustainable Iron and Steel Manufacturing
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- 作者：M. Abdul Quader ; Shamsuddin Ahmed
- 关键词：CCS ; CO2 emissions ; Iron and steel industry ; Fuzzy AHP ; 2 ; Tuple DEMATEL ; MCDM
- 刊名：Arabian Journal for Science and Engineering
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：41
- 期：11
- 页码：4411-4430
- 全文大小：1,401 KB
- 刊物类别：Engineering
- 刊物主题：Engineering, general
Mathematics
Science, general - 出版者：Springer Berlin / Heidelberg
- 卷排序：41
文摘
The iron and steel industry is known as the largest energy-consuming and CO2-emitting manufacturing sector in the world. Therefore, investigation, development and deployment of alternative energy-efficient iron-making breakthrough technologies along with CO2 capture technology are receiving high priority to mitigate environmental concerns by reducing pollutants and greenhouse gas emissions of around level 50 % by 2050 compared to 2007. This research evaluates the CCS systems in the iron and steel industry considering four prominent aspects (engineering, economic, environmental and social) of sustainability using questionnaire with group of experts having relevant experience. A novel hybrid multi-criteria decision model is proposed integrating Delphi, 2-tuple decision-making trial and evaluation laboratory, and extent analysis method on fuzzy AHP to select the dimensions and critical factors for evaluating alternative iron-making technologies with CCS systems. Case studies are conducted in iron and steel industries in Malaysia and Bangladesh to illustrate the proposed framework and to demonstrate its usefulness and validity.