A Stochastic Programming Approach for the Optimal Placement of Gas Detectors: Unavailability and Voting Strategies-Reference-Cited by-同舟云学术

A Stochastic Programming Approach for the Optimal Placement of Gas Detectors: Unavailability and Voting Strategies

Published:2013-10-30 Issue:13 Volume:53 Page:5355-5365
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Benavides-Serrano A. J.¹²,Legg S. W.¹,Vázquez-Román R.³,Mannan M. S.¹²,Laird C. D.¹

Affiliation:

1. Department of Chemical Engineering, Texas A&M University, 3122 TAMU, College Station, Texas 77843, United States

2. Mary Kay O’Connor Process Safety Center, Texas A&M University, 3122 TAMU, College Station, Texas 77843, United States

3. Departamento de Ingeniería Química, Instituto Tecnológico de Celaya, Av. Tecnológico y A, G. Cubas, Celaya, Gto, CP 38010, Mexico

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie401369v

Reference81 articles.

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3. Bratteteig, A., Hansen, O. R., Gavelli, F., and Davis, S.Using CFD to Analyze Gas Detector Placement in Process Facilities.14th Annual Symposium;Mary Kay O’Connor Process Safety Center, Texas A&M University:College Station, TX, 2011.

4. A stochastic programming approach for gas detector placement using CFD-based dispersion simulations

5. Legg, S.; Siirola, J.; Watson, J.; Davis, S.; Bratteteig, A.; Laird, C.A Stochastic Programming Approach for Gas Detector Placement in Process Facilities.Proceedings of the FOCAPO Conference, Savannah, GA, 2012.

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