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/
| id |
UNIANDES2_385985824c4430645de7c7d7d828a763 |
|---|---|
| oai_identifier_str |
oai:repositorio.uniandes.edu.co:1992/44465 |
| network_acronym_str |
UNIANDES2 |
| network_name_str |
Séneca: repositorio Uniandes |
| repository_id_str |
|
| dc.title.es_CO.fl_str_mv |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics |
| title |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics |
| spellingShingle |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics Química industrial Industrias químicas Ingeniería química Programación heurística Ingeniería |
| title_short |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics |
| title_full |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics |
| title_fullStr |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics |
| title_full_unstemmed |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics |
| title_sort |
Inherent safety-driven plant layout design using bacterial foraging optimization meta-heuristics |
| dc.creator.fl_str_mv |
Ortiz Caro, Valentina |
| dc.contributor.advisor.none.fl_str_mv |
Ríos Ratkovich, Nicolás Mura, Iván |
| dc.contributor.author.none.fl_str_mv |
Ortiz Caro, Valentina |
| dc.contributor.jury.none.fl_str_mv |
Hernández Carrión, María |
| dc.subject.armarc.es_CO.fl_str_mv |
Química industrial Industrias químicas Ingeniería química Programación heurística |
| topic |
Química industrial Industrias químicas Ingeniería química Programación heurística Ingeniería |
| dc.subject.themes.none.fl_str_mv |
Ingeniería |
| description |
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. |
| publishDate |
2019 |
| dc.date.issued.none.fl_str_mv |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2020-09-03T14:53:29Z |
| dc.date.available.none.fl_str_mv |
2020-09-03T14:53:29Z |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Pregrado |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TP |
| format |
http://purl.org/coar/resource_type/c_7a1f |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/1992/44465 |
| dc.identifier.pdf.none.fl_str_mv |
u830296.pdf |
| dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de los Andes |
| dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Séneca |
| dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
| url |
http://hdl.handle.net/1992/44465 |
| identifier_str_mv |
u830296.pdf instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
| dc.language.iso.es_CO.fl_str_mv |
eng |
| language |
eng |
| dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.es_CO.fl_str_mv |
24 hojas |
| dc.format.mimetype.es_CO.fl_str_mv |
application/pdf |
| dc.publisher.es_CO.fl_str_mv |
Universidad de los Andes |
| dc.publisher.program.es_CO.fl_str_mv |
Ingeniería Química Ingeniería Industrial |
| dc.publisher.faculty.es_CO.fl_str_mv |
Facultad de Ingeniería |
| dc.publisher.department.es_CO.fl_str_mv |
Departamento de Ingeniería Química Departamento de Ingeniería Industrial |
| dc.source.es_CO.fl_str_mv |
instname:Universidad de los Andes reponame:Repositorio Institucional Séneca |
| instname_str |
Universidad de los Andes |
| institution |
Universidad de los Andes |
| reponame_str |
Repositorio Institucional Séneca |
| collection |
Repositorio Institucional Séneca |
| bitstream.url.fl_str_mv |
https://repositorio.uniandes.edu.co/bitstreams/2ee3656a-d33e-44ee-a8dd-7c76a7e7a650/download https://repositorio.uniandes.edu.co/bitstreams/62b548ad-537d-4e75-a7a5-383a5a8f1a21/download https://repositorio.uniandes.edu.co/bitstreams/66173fbb-12e0-4fd3-8115-ca4e2c0fa53a/download |
| bitstream.checksum.fl_str_mv |
276a5bdd89a0669562fb7d9cc490fa40 0b35d41d361e31b47bb2896d210b5b48 3b4898d3c683cc7805f4b42941c5e61c |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio institucional Séneca |
| repository.mail.fl_str_mv |
adminrepositorio@uniandes.edu.co |
| _version_ |
1818111989303476224 |
| spelling |
Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ríos Ratkovich, Nicolásvirtual::14749-1Mura, Ivánvirtual::14750-1Ortiz Caro, Valentina85814fc5-16c2-448a-aeef-3773f7daa8a1500Hernández Carrión, María2020-09-03T14:53:29Z2020-09-03T14:53:29Z2019http://hdl.handle.net/1992/44465u830296.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/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."El diseño de una planta de proceso está muy relacionado con el concepto de seguridad inherente, como la probabilidad de accidentes y el alcance de sus consecuencias puede mitigarse mediante la ubicación adecuada de equipos de proceso. Índices de seguridad inherentes, tales como el Hazard Identificayion and Ranking System y el Safety Weigheted Hazard Index, apunte a evaluar el riesgo basado en la opinión de expertos, la reactividad del proceso y las propiedades para una amplia variedad de procesos. En este estudio, abordamos el problema de definir adecuadamente diseños de distribución utilizando un enfoque de evaluación de seguridad basado en estos dos índices. La información provista por los índices junto con parámetros que caracterizan el proceso químico están incluidos en la formulación matemática de un problema de optimización, que tiene como objetivo encontrar compensaciones adecuadas entre los costos de capital y la seguridad. El problema de optimización se resuelve mediante un Algoritmo de optimización de búsqueda de bacterias. La metaheurística ubica cada unidad de proceso en un plano bidimensional junto con las conexiones de tuberías entre equipos, considerando radios de daño, dispositivos de seguridad y otras barreras secundarias que minimizan los costos totales del diseño. Usando un caso de estudio, se realiza una comparación entre los diseños que se obtienen utilizando cada uno de los dos índices así como con resultados previos obtenidos utilizando el Índice de Fuego y Explosión. El modelo permite la variabilidad en la inicialización y demuestra su aplicabilidad; pretende ser de apoyo sustancial en el complejo proceso de toma de decisiones de un diseño de diseño."--Tomado del Formato de Documento de Grado.Ingeniero QuímicoIngeniero IndustrialPregrado24 hojasapplication/pdfengUniversidad de los AndesIngeniería QuímicaIngeniería IndustrialFacultad de IngenieríaDepartamento de Ingeniería QuímicaDepartamento de Ingeniería Industrialinstname:Universidad de los Andesreponame:Repositorio Institucional SénecaInherent safety-driven plant layout design using bacterial foraging optimization meta-heuristicsTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TPQuímica industrialIndustrias químicasIngeniería químicaProgramación heurísticaIngenieríaPublicationhttps://scholar.google.es/citations?user=7ISqcHUAAAAJvirtual::14749-10000-0003-2094-3420virtual::14749-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001509207virtual::14749-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001482881virtual::14750-1b11b7f3b-5856-46a2-8e45-86d408c8f25fvirtual::14749-1ef9c84bd-7528-41a8-8fc7-b3f39cf3bc3evirtual::14750-1b11b7f3b-5856-46a2-8e45-86d408c8f25fvirtual::14749-1ef9c84bd-7528-41a8-8fc7-b3f39cf3bc3evirtual::14750-1TEXTu830296.pdf.txtu830296.pdf.txtExtracted texttext/plain45275https://repositorio.uniandes.edu.co/bitstreams/2ee3656a-d33e-44ee-a8dd-7c76a7e7a650/download276a5bdd89a0669562fb7d9cc490fa40MD54THUMBNAILu830296.pdf.jpgu830296.pdf.jpgIM Thumbnailimage/jpeg11376https://repositorio.uniandes.edu.co/bitstreams/62b548ad-537d-4e75-a7a5-383a5a8f1a21/download0b35d41d361e31b47bb2896d210b5b48MD55ORIGINALu830296.pdfapplication/pdf1360228https://repositorio.uniandes.edu.co/bitstreams/66173fbb-12e0-4fd3-8115-ca4e2c0fa53a/download3b4898d3c683cc7805f4b42941c5e61cMD511992/44465oai:repositorio.uniandes.edu.co:1992/444652024-03-13 15:16:56.193http://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |