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Accident risk-based life cycle assessment methodology for green and safe fuel selection


Khakzad, S and Khan, F and Abbassi, R and Khakzad, N, Accident risk-based life cycle assessment methodology for green and safe fuel selection, Process Safety and Environmental Protection, 109 pp. 268-287. ISSN 0957-5820 (2017) [Refereed Article]


Copyright Statement

Copyright 2017 Institution of Chemical Engineers

DOI: doi:10.1016/j.psep.2017.04.005


Using the emissions produced during the entire life-cycle of a fuel or a product, Life-cycle assessment (LCA) is an effective technique widely used to estimate environmental impacts. However, most of the conventional LCA methods consider the impacts of voluntary releases such as discharged toxic substances and overlook involuntary risks such as risk of accidents associated with exploration, production, storage, process and transportation. Involuntary risk of hazardous materials such as fuels could be quite significant and if ignored may result in inaccurate LCA. The present study aims to develop a methodology for accident risk-based life cycle assessment (ARBLCA) of fossil fuels by considering both the voluntary and involuntary risks. The application of the developed methodology is demonstrated for liquefied natural gas (LNG) and heavy fuel oil (HFO) as fuels of a hypothetical power plant. Adopting a Bayesian network approach, the comparative analysis of the fuels helps an analyst not only overcome data uncertainty but also to identify holistically greener and safer fuel options.

Item Details

Item Type:Refereed Article
Keywords:risk analysis, life cycle analysis, risk-based LCA, accident analysis, product selection
Research Division:Engineering
Research Group:Environmental engineering
Research Field:Air pollution modelling and control
Objective Division:Mineral Resources (Excl. Energy Resources)
Objective Group:Environmentally sustainable mineral resource activities
Objective Field:Environmentally sustainable mineral resource activities not elsewhere classified
UTAS Author:Khan, F (Professor Faisal Khan)
UTAS Author:Abbassi, R (Dr Rouzbeh Abbassi)
ID Code:116002
Year Published:2017
Web of Science® Times Cited:10
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-04-27
Last Modified:2018-08-28
Downloads:13 View Download Statistics

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