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Database for accidents and incidents in the fuel ethanol industry
Institution:1. CEDIAC Institute, Engineering Faculty, National University of Cuyo, CO M5502JMA, Mendoza, Argentina;2. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina;1. College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, China;2. Department of Computer Science, State University of New York, New Paltz, NY 12561, USA;1. Avantium Chemicals B.V., Zekeringstraat 29, 1014 BV, Amsterdam, the Netherlands;2. Université Côte d''Azur, Institut de Chimie de Nice, CNRS, UMR 7272, 06108, Nice, France;1. itt Performance, UNISINOS University, Brazil;2. ISISE – Institute for Sustainability and Innovation in Structural Engineering, Coimbra University, Portugal;3. Civil Engineering Department, Federal University of Rio Grande do Sul, Brazil;1. Department of Civil and Environmental Engineering, University of Delaware, Newark, DE, USA;2. Loosely Faculty Fellow, School of Civil and Construction Engineering, Oregon State University, Corvallis, OR, USA;3. Wood Science and Engineering, Oregon State University, Corvallis, OR, USA
Abstract:The purpose of the present research is to collect information about accidents and incidents that have occurred at fuel ethanol facilities from 1998 to October 2014, and to keep complete unified records of them in a database. The developed database contains general information about the accident or incident, its sequence, mitigation measures, its causes and consequences for humans, environment and for the plant. Until now, this information is not available. The work consisted in gathering information from different documental sources and subsequent organization in a database. It complements the previous work made for biodiesel industry and fills the existing gap in the field of ethanol. Knowledge about this information enables us to manage plant risks, since the accidents that are more likely to occur and the main sources of risk can be easily identified. Also, it makes it possible to exchange information with interested third parties. Statistical analysis shows that accident frequency has an oscillatory behavior, rising in the last year. Fire is the most common type of accident, while equipment mechanical failure is the main cause of accident. Partial material loss has been identified as the most common consequence. Finally, some conclusions are obtained concerning to the importance of having an updated and complete accident and incident database.
Keywords:Database  Accidents  Incidents  Fuel ethanol plants  Lessons learned  Near miss  Risk
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