Dynamic Process and Accident Simulations as Tools to Prevent Industrial Accidents
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Sara Brambilla
and Davide Manca
The dynamic simulation of chemical processes is an indispensable and central tool for process design, analysis, and operation. Compared to a steady state simulation, the dynamic process simulation has some outstanding advantages, such as the assessment of control system reliability before its implementation on the real plant, the planning and testing of start-up and shutdown procedures, the training of operators, the possibility to investigate the causes of previous accidents, and to determine the consequences of possible accidents. In particular, as far as the accidents are concerned, it is not of minor importance that they are an economic liability to the company and the community (Fewtrell and Hirst, 1998). Fewtrell and Hirst highlighted also that high-cost accidents have some common features. The coupled dynamic simulation of process and accidents allows identifying the aforementioned deficiencies while moving towards a more safe and productive management of chemical processes. This manuscript analyzes the possible plant/accident interactions and suggests the simultaneous dynamic integration of process simulators and accident simulators. In fact, to simulate a realistic accident dynamics, both the dynamics of the plant and of the accidental event should be run simultaneously since they are biuniquely interrelated and they influence one another. The manuscript investigates the feedbacks and interactions between the process and the accident by means of a specific case study.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Articles in the same Issue
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- Process Modeling & Control: A Special Issue of Chemical Product & Process Modeling
- Determination of Kinetic and Stoichiometric Parameters of Pseudomonas putida F1 by Chemostat and In Situ Pulse Respirometry
- Exponential Observer Design for State Estimation in a Class of Anaerobic Sulfate Reducing Bioreactor
- From Reacting to Predicting Technologies: A Novel Performance Monitoring Technique Based on Detailed Dynamic Models
- Nonlinear Analysis of Heterogeneous Model for an Industrial Ammonia Reactor
- Iterative Design of Dynamic Experiments in Modeling for Optimization of Innovative Bioprocesses
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- Modeling Disturbance Dynamics to Improve Controller Performance in Industrial Loops
- On the Design of an In-Line Control System for a Vial Freeze-Drying Process: The Role of Chamber Pressure
- A Takagi-Sugeno Fuzzy Dynamic Model of a Concentric-Tubes Heat Exchanger
- Design of Dynamics of a Recuperative Catalytic Combustor: Enhancement in Operation and Control
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