Optimal gas detector placement under uncertainty considering Conditional-Value-at-Risk

A stochastic programming formulation considering Conditional-Value-at-Risk (CVaR) is developed for the optimal placement of gas detectors in petrochemical process facilities. A rigorous gas dispersion simulator, FLACS, is used to generate release scenario data for a real process geometry. We conside...

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Veröffentlicht in:	Journal of loss prevention in the process industries Jg. 26; H. 3; S. 410 - 417
Hauptverfasser:	Legg, S.W., Wang, C., Benavides-Serrano, A.J., Laird, C.D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.05.2013 Elsevier Science Ltd
Schlagworte:	Chemical process industries Conditional-Value-at-Risk Gas detection Mixed-integer linear programming Process safety Sensor placement Simulators Stochastic models Stochastic programming Uncertainty Conditional-Value-at-Risk Sensor placement Process safety Gas detection Mixed-integer linear programming Stochastic programming
ISSN:	0950-4230, 1873-3352
Online-Zugang:	Volltext
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