TY - GEN
T1 - Accident simulator for risk assessment of non-steady work of chemical plant
AU - Nakai, A.
AU - Suzuki, K.
N1 - Publisher Copyright:
© 2017 Taylor & Francis Group, London.
PY - 2017
Y1 - 2017
N2 - Large-scale facilities now are highly diversified and complicated in Japan. Therefore, chemical plant operators cannot grasp the overall situation in emergency. Human error was piled up the mechanical failure caused unexpected accidents. It becomes more important to perform of the “risk assessment” which is assumed accidents and causes. In this paper we propose to adopt of the philosophy of HAZOP analysis to the system. Accidents often happen in non-steady situation due to human factors. Operators cannot control enough when the plant conditions are changed depending on time and operation. This study shows the system linked with dynamic simulator for chemical plant. Initial condition for simulation and basal condition for operation should be set to the system, then preprocessor automatically generate accident case examples. Using the example data, accident solver operate dynamic plant simulator. Simulation results show fault propagation scenarios. Post processor of the system can analyze fault propagation scenarios. This system has been designed to support chemical plant operators by predicting accident cases on dynamic simulator. To convey accurately indication information of the risk, it is useful to recognize hazard identification.
AB - Large-scale facilities now are highly diversified and complicated in Japan. Therefore, chemical plant operators cannot grasp the overall situation in emergency. Human error was piled up the mechanical failure caused unexpected accidents. It becomes more important to perform of the “risk assessment” which is assumed accidents and causes. In this paper we propose to adopt of the philosophy of HAZOP analysis to the system. Accidents often happen in non-steady situation due to human factors. Operators cannot control enough when the plant conditions are changed depending on time and operation. This study shows the system linked with dynamic simulator for chemical plant. Initial condition for simulation and basal condition for operation should be set to the system, then preprocessor automatically generate accident case examples. Using the example data, accident solver operate dynamic plant simulator. Simulation results show fault propagation scenarios. Post processor of the system can analyze fault propagation scenarios. This system has been designed to support chemical plant operators by predicting accident cases on dynamic simulator. To convey accurately indication information of the risk, it is useful to recognize hazard identification.
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U2 - 10.1201/9781315210469-154
DO - 10.1201/9781315210469-154
M3 - Conference contribution
AN - SCOPUS:85061352679
SN - 9781138629370
T3 - Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
SP - 1223
EP - 1226
BT - Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
A2 - Cepin, Marko
A2 - Briš, Radim
PB - CRC Press/Balkema
T2 - 27th European Safety and Reliability Conference, ESREL 2017
Y2 - 18 June 2017 through 22 June 2017
ER -