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Utilization of regression technique to develop a predictive model for hazard radius from release of typical methane-rich natural gas
Institution:1. University of Tehran, Tehran, Iran;2. Amirkabir University of Technology, Tehran, Iran;1. Center for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, PR China;2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, 257061, PR China;3. Department of Environment and Safety Engineering, China University of Petroleum, Qingdao, 266580, PR China;1. Department of Mechanical Engineering, Indian Institute of Technology Patna, Bihta, Bihar, 801103, India;2. Division 2.2, Reactive Substances and Systems, Federal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany;3. Department of Mechanical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India;1. Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 305-701, Republic of Korea;2. Hyundai Heavy Industries, 17-10, Mabuk-ro 240 Beon-gil, Giheung-gu, Yongin-si, Gyeonggi-do, 446-912, Republic of Korea;1. School of Chemical Machinery and Safety Engineering, Dalian University of Technology, Dalian 116024, China;2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China;3. Department of Chemical System Engineering, School of Engineering, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, Japan
Abstract:The aim of hazardous area classification around equipment handling or storing of flammable fluids is to avoid the ignition of those releases that may occur from time to time in the operation of these equipment. There is a point source approach for the classification of hazardous areas which can estimate hazard radius by using hole size and release pressure. Methane-rich natural gas is widely used or produced in the process industries. Till date, there exist no reference that represents hazard radii for the wide range of possible hole sizes and release pressures of this fluid. The aim of the present study was to propose a predictive model for estimation of hazard radii due to releases of typical methane-rich natural gas based on hole size and release pressure. In this study, a complete database of hazard radii due to a broad range of hole sizes and release pressures was provided using available discharge and dispersion models. A regression-based model for estimation of hazard radii was developed based on the provided database. Performance investigation of the proposed model and a case study showed that the results are reliable with an acceptable standard error.
Keywords:Hazardous area classification  Hazard radius  Hole size  Release pressure  Regression
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