Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics
The design of a layout for a process plant is highly related with the concept of inherent safety, as both the likelihood of accidents and the extent of their consequences can be mitigated by the proper placement of equipment units. Inherent safety indices, such as the Hazard Identification and Ranki...
- Autores:
-
Ortiz Caro, Valentina
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2019
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/44465
- Acceso en línea:
- http://hdl.handle.net/1992/44465
- Palabra clave:
- Química industrial
Industrias químicas
Ingeniería química
Programación heurística
Ingeniería
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | The design of a layout for a process plant is highly related with the concept of inherent safety, as both the likelihood of accidents and the extent of their consequences can be mitigated by the proper placement of equipment units. Inherent safety indices, such as the Hazard Identification and Ranking System and the Safety Weighted Hazard Index, aim at assessing risk based on expert opinion, process reactivity and properties for a wide variety of processes. In this study, we address the problem of defining proper layout designs by using a safety assessment approach based on these two indices. The information provided by the indices along with parameters that characterize the chemical process are included in the mathematical formulation of an optimization problem, which aims at finding adequate trade-offs between capital costs and safety. The optimization problem is then solved by a Bacterial Foraging Optimization Algorithm. The meta-heuristic locates each process unit in a two-dimensional plane along with the piping connections between equipment, considering damage radii, safety devices and other secondary barriers minimizing the total costs of the layout. Using a case study, a comparison is conducted among the layouts that are obtained using each one of the two indices as well as with previous results obtained using the Fire and Explosion Index. The model allows variability in initialization and proves its applicability; it aims to be of substantial support in the complex decision-making process of a layout design. |
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