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Method for identifying errors in chemical process development and design base on accidents knowledge
Institution:1. Department of Chemical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia;2. Centre of Hydrogen Energy, Institute of Future Energy, Universiti Teknologi Malaysia, Johor Bahru, Malaysia;3. Department of Biotechnology and Chemical Technology, Aalto University, Espoo, Finland;1. University of Twente, Faculty of Geo-information Science and Earth Observation (ITC), P.O. Box 217, 7500AE, Enschede, The Netherlands;2. Indian Institute of Technology Gandhinagar (IITGN), Ahmedabad, Gujarat, 382355, India;3. Indian Institute of Technology Bombay (IITB), Mumbai, Maharashtra, 400076, India;1. Amirkabir University of Technology, Tehran, Iran;2. University of Tehran, Tehran, Iran
Abstract:It has been claimed that the high accident rate in the chemical process industry is due to poor dissemination of accident knowledge that affects directly the level of learning from accidents. In response to this situation, this paper utilized past accident knowledge as a basis to develop a safety oriented design tool whereby the accident information were directly disseminated into plant design. The method was developed based on our previous accident analysis of design error in which the common design errors were ranked in accordance to their frequency and its origins during normal plant design project. Based on the design error ranking and its origin at a specific design phases, a method for design error detection is proposed. The method is expected to be able to identify the possible design error and its causes throughout chemical process development and design. The main objective is to trigger safe design thinking at the specific design phases so that appropriate action for risk reduction could be timely implemented. The Bhopal and BP Texas tragedies are used as case studies to test and verify the method. The proposed method can detect up to 74% of design errors.
Keywords:Accident  Learning from accident  Design error  Error detection  Process lifecycle  Plant design
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