A MINLP approach for layout designs based on the domino hazard index

Lira-Flores, Julio Armando de; Vázquez-Román, Richart; López‐Molina, Antíoco; Mannan, M. Sam

doi:10.1016/j.jlp.2013.07.007

Cited by 41 publications

(20 citation statements)

References 19 publications

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“…The layout optimization is based on the hypothesis of overpressure due to jet fire or vapor cloud explosion producing propagation and scaling, and an objective function is defined according to geometrical units footprint, location coordinates, and costs for pipe network, land, and damage, resulting in an optimization problem [52][53][54]. Similar works are performed considering injury of people, collapsed structures and loss of production, using Bayesian networks and an analytical hierarchical process [55,56].…”

Section: Preventive Methodologiesmentioning

confidence: 99%

Analysis and Characterization of Risk Methodologies Applied to Industrial Parks

et al. 2020

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It is important to evaluate the risks in industrial parks and their processes due to the consequences of major accidents and especially the domino effect. Scientific works present a wide possibility of models to deal with these situations. In this work, based on the information extracted from the scientific literature, six groups of risk methodologies are defined, analyzed, and characterized with methods that cover the standards, preventive, probabilistic, traditional, modern, and dynamic evaluation that are applied or could be used in industrial parks. It also tries to achieve the objective of determining which are more appropriate if the possible situations and causes that can produce an accident are taken into account, identifying and evaluating them with characteristics of simultaneity and immediacy, determining the probability of an accident occurring with sufficient advance in time to avoid it under the use of a working operational procedure. There is no definitive methodology, and it is necessary that they complement each other, but considering the proposed objective, the integrated application of traditional methodologies together with the management of safety barriers, the dynamic evaluation of risks, and the inclusion of machine learning systems could fulfill the proposed objective.

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Section: Preventive Methodologiesmentioning

confidence: 99%

Analysis and Characterization of Risk Methodologies Applied to Industrial Parks

et al. 2020

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“…Fire, explosion, toxic release and other closely related scenarios are considered. de Lira-Flores et al (2014) presented a mixed integer non-linear programming (MINLP) approach for single oor layout designs based on this index for pool res, jet res, ash res, reballs and blast waves events. The resulting model was solved using a local MINLP solver and globally optimally results were not guaranteed.…”

Section: Figure 1: Process Safety Strategiesmentioning

confidence: 99%

Section: Figure 1: Process Safety Strategiesmentioning

confidence: 99%

“…The model proposed in this work seeks to build upon the work of de Lira-Flores et al (2014), presenting a more ecient mixed integer linear programming (MILP) model for safe layout conguration using the DHI. de Lira-Flores et al (2014) considered connections by pipes, installation of protection device and the domino escalation costs owing to pool res, jet res, ash res, reballs and blast wave events for single oor layout congurations. In this work, additional features including multi-oor layout congurations, tall-equipment items, vertical and horizontal pumping costs, and a more realistic estimation of separation distances for the DHI metrics are considered.…”

Section: Figure 1: Process Safety Strategiesmentioning

confidence: 99%

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An MILP model for safe multi-floor process plant layout using the domino hazard index

Ejeh

Liu

Papageorgiou

2021

Process Safety and Environmental Protection

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In this paper, an optimisation-based approach to obtain safe multi-oor process plant layout designs using the Domino Hazard Index (a sub-index of the Integrated Inherent Safety Index) is presented. A mixed integer linear programming (MILP) model is proposed to obtain the economically optimal multi-oor layout design considering connection by pipes, horizontal and vertical pumping of process uids, purchase of land, xed and area-dependent construction of oors, the nancial risk associated with hazardous events and their escalation potential, and the installation of passive protection devices. Hazardous events such as pool res, jet res, ash res, reballs and blast waves resulting from explosions are considered using a novel and more realistic estimation of safety distances between equipment items. A bi-objective optimisation problem is also considered, minimising the layout costs and the total domino hazard index values for the plant, adopting the -constraint method. The proposed model is then applied to an 11-unit case study susceptible to each of these hazardous events, obtaining results with the optimal layout and protection device congurations in a relatively short amount of time.

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“…Principles from the Dow's re and explosion index guide (American Institute of Chemical Engineers, 1994) were incorporated into an MILP model by Patsiatzis et al (2004) in estimating risk levels within a plant, and more recently, the Domino Hazard index has also been adopted to model potential hazardous events that can be mitigated with proper layout considerations (Brunoro Ahumada et al, 2018, de Lira-Flores et al, 2014, López-Molina et al, 2013, Tugnoli et al, 2008. In the later case, the domino eect of hazardous scenarios such as ash re, reball, pool and jet res, and explosions were formulated as an MINLP (López-Molina et al, 2013, de Lira-Flores et al, 2014 or MILP (Brunoro Ahumada et al, 2018) model, with an overall objective to minimize the total layout costs, damage costs and purchase of protection devices. In recent times, owing to problems of scalability, heuristics, the use of evolutionary techniques and the combination of both have been developed for the layout problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal layout of multi-floor process plants using MILP

Ejeh

Liu

Papageorgiou

2019

Computers & Chemical Engineering

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In this work, a new mixed integer linear programming (MILP) model is proposed for the multi-oor process plant layout problem with additional considerations. Multi-oor process plant layout determines the spatial arrangement of process plant units considering their connectivity amongst other factors and aects the cost of constructing the plant, the ease of plant operation and expansion, general safety levels within the plant and its neighbouring environment, as well as operational costs. Over the past years, mathematical programming models have been developed to describe the layout problem considering connectivity costs, pumping costs, installation of safety devices, and piping, in single and multiple oors. Features such the representation of irregularly shaped items, tall equipment spanning multiple oors and others have been successfully modelled. This work builds on such past considerations with additional features that allow multi-oor equipment items extend above the maximum potential number of oors, and the selection of an available number of oors less than the maximum number required by any equipment item. Integer cuts are also developed for the proposed model to enhance its eciency. The performance and limitations of the proposed model are demonstrated with industry-relevant case studies of up to 25 units, and results show a potential cost savings when compared to existing models with additional computational benets of the integer cuts in all of the cases explored.

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A MINLP approach for layout designs based on the domino hazard index

Cited by 41 publications

References 19 publications

Analysis and Characterization of Risk Methodologies Applied to Industrial Parks

Analysis and Characterization of Risk Methodologies Applied to Industrial Parks

An MILP model for safe multi-floor process plant layout using the domino hazard index

Optimal layout of multi-floor process plants using MILP

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