The ‘Purple Book’

Haag, P.A.M. Uijt de; Ale, B.J.M.; Post, Jos

doi:10.1016/b978-044450699-3/50053-7

Cited by 23 publications

(35 citation statements)

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“…Probability of occurrence (PO) is defined as the average between fire probability and explosion probability (assumption explained in section ). , The same averaging principle was also applied for calculation of inventory (IN), closeness (CL), exposure duration (ED) and property value (PV). To calculate the closeness in either cases of fire and explosion, the Areal Locations of Hazardous Atmospheres (ALOHA) is used to calculate the heat radiation and overpressure spread from each tank as shown in Tables and .…”

Section: Case Studymentioning

confidence: 99%

Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities

Tong

Khan

et al. 2018

Ind. Eng. Chem. Res.

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Process facilities are vulnerable to catastrophic accidents due to the storage, transportation, and processing of large amounts of flammable/explosive materials. Among a variety of accident scenarios, fire and explosion are the most frequent ones. Fire and explosion are interactive events and may cause a "chain of accidents" (also known as the "domino effect"). Especially in processing facilities where units are located within a limited distance, fire or explosion occurring in one unit is likely to spread to other units. Currently, there is a lack of proper methodology that considers the effect of fire and explosion interaction. Ignoring this interaction provides uncertainty in the domino effect risk analysis. High complexity and uncertainty, due to the interaction of fire and explosion, thus make it challenging to analyze the domino effect propagation. The fuzzy inference system (FIS) is known to be an efficient tool for handling uncertainty and imprecision. The current study has developed a new methodology by adopting the FIS method to handle the data uncertainties in the dynamic Bayesian network (DBN) to conduct a robust domino effect analysis considering interactions of fire and explosion. Application of the proposed methodology demonstrates that the FIS acts as a quick semiquantitative method involved in the domino effect analysis. Results obtained from FIS are consistent with those obtained using the DBN. Moreover, it illustrates that DBN is an effective technique to analyze the combination of a fire and explosion accident.

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Section: Case Studymentioning

confidence: 99%

Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities

Tong

Khan

et al. 2018

Ind. Eng. Chem. Res.

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“…Subsequently, as a result of said deviation, the process can lead to an accident. More information can be obtained from the work reported by the AICHE and De Haag …”

Section: Process Risk Quantificationmentioning

confidence: 99%

“…A probit model is an equation that relates the response of the affected person (probability of injury or decease) with the dose received of a certain exposure like heat, pressure, or radiation. In this work, probit function models of the probability of death due to overpressure and third-degree burns are considered. ,, The parameters for eq are shown in Table . The probability of damage is obtained by replacing probit values in eq …”

Section: Process Risk Quantificationmentioning

confidence: 99%

“…In this work, probit function models of the probability of death due to overpressure and third-degree burns are considered. ,, The parameters for eq are shown in Table . The probability of damage is obtained by replacing probit values in eq Finally, the result obtained by eq is replaced inside eq to obtain the individual risk (IR).…”

Section: Process Risk Quantificationmentioning

confidence: 99%

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Reactive Distillation Column Design for Tetraethoxysilane (TEOS) Production. Part II: Dynamic Properties and Inherent Safety

Palma-Barrera

Sánchez‐Ramírez

Ramírez‐Márquez

et al. 2018

Ind. Eng. Chem. Res.

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Inherent safety and control properties of a reactive distillation column for the production of tetraethoxysilane are compared with those of a conventional process based in a reactordistillation column. The preliminary design of the reactive distillation column and the analysis of total annual cost and environmental indicator were obtained previously [Sańchez-Ramı ́rez et al. Ind. Eng. Chem. Res. 2018, 57, 5024−5034]. The control properties of the sequences considered were obtained by using the singular value decomposition technique and Nyquist criteria. A complementary closed-loop study using PI controller was carried out. The pairing of the variables in the control loops was carried out by the RGA technique. Process risk quantification was determined through hazard and operability study. The results indicate that reactive distillation columns seem a more appropriated technology for tetraethoxysilane production since its economic and control properties surpass those present by the conventional reaction separation process. Moreover, if the required purity for TEOS is between 98.5% and 99 wt % the profit of the process increases. Even though the inherent safe for the conventional process is slightly better, that difference is not high enough for comparative purposes.

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“…In Cozzani et al , 2007, different scenarios, caused by fires, or overpressure, or fragments are taken into account to calculate the various consequence distances, and in Reniers and Dullaert, 2007, it is also possible to know that for each type of installation with possible scenarios, each scenario has a quantified frequency. Moreover, the Guidelines for Quantitative Risk Assessment (Purple Book, in Uijt de Haag and Ale, 1999), give us the methods and principles used to calculate the various effect distances, using an expected consequence approach. This kind of approach is used in Godoy et al , 2007, where improving available tools and developing new ones to compute risk indexes, it is possible to estimate safe distances, useful for emergency and contingency planning.…”

Section: Introductionmentioning

confidence: 99%

Risk evaluation of real‐time accident scenarios in the transport of hazardous material on road

Tomasoni

Garbolino

Rovatti

et al. 2010

Management of Environmental Quality: An International Journal

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PurposeThis paper seeks to tackle the complex problem of integrating real‐time data information about the tracking of a hazardous material (hazmat) vehicle with classical risk evaluation methodologies in order to describe possible accident scenarios. The application deals with the transport of hydrocarbon dangerous goods, where the accident consequences may involve the population exposed along the infrastructure used for transportation.Design/methodology/approachThe approach taken consists of three phases. First, the acquisition of real‐time data about the travel and the carried hazmat; second, the evaluation of the risk area; and finally, a Geographic Information System (GIS) are taken into account.FindingsThe findings of this analysis constitute the methodological basis to implement a decision support system as regards hazmat transport risk analysis, also in real time, with important evaluations for planning criteria. Using TIP (Transport Integrated Platform), the data collection is received in real time and the scenario construction and visualization may represent a user‐friendly tool for prompt risk evaluation.Research limitations/implicationsThe information displayed by the GIS interface is easy to use, and gives prompt information about the accident consequences.Originality/valueIn terms of the total impact from the hazmat transport system to the whole environment (humans, goods, infrastructures, services and natural elements), the paper focuses on the importance of creating a historical real‐time database implemented from a real time information, that represents a standard set of information necessary to define an accident scenarios, for hazmat transport.

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The ‘Purple Book’

Cited by 23 publications

References 1 publication

Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities

Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities

Reactive Distillation Column Design for Tetraethoxysilane (TEOS) Production. Part II: Dynamic Properties and Inherent Safety

Risk evaluation of real‐time accident scenarios in the transport of hazardous material on road

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