Risk Assessment in a Chemical Storage Facility

Boykin, Raymond F.; Freeman, Raymond A.; Levary, Reuven R.

doi:10.1287/mnsc.30.4.512

Cited by 14 publications

(7 citation statements)

References 8 publications

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“…For these reasons, they are similar, in complexity, to integrated assessment models used by other decision‐support tools in the environmental sciences (e.g., in climatic change studies). Moreover, this way of proceeding is similar to the modus operandi of quantitative risk assessment in the nuclear, space, and chemical sectors . A first difficulty associated with LCA is the cross‐comparison and validation of the results obtained.…”

Section: Introductionmentioning

confidence: 93%

“…Moreover, this way of proceeding is similar to the modus operandi of quantitative risk assessment in the nuclear, space, and chemical sectors. (15)(16)(17) A first difficulty associated with LCA is the cross-comparison and validation of the results obtained. Even studies compliant with the ISO 14044 standard series on LCA (11) and dealing with identical systems showed large differences in the assessed impacts.…”

Section: Introductionmentioning

confidence: 99%

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A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment

2015

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The life cycle assessment (LCA) framework has established itself as the leading tool for the assessment of the environmental impact of products. Several works have established the need of integrating the LCA and risk analysis methodologies, due to the several common aspects. One of the ways to reach such integration is through guaranteeing that uncertainties in LCA modeling are carefully treated. It has been claimed that more attention should be paid to quantifying the uncertainties present in the various phases of LCA. Though the topic has been attracting increasing attention of practitioners and experts in LCA, there is still a lack of understanding and a limited use of the available statistical tools. In this work, we introduce a protocol to conduct global sensitivity analysis in LCA. The article focuses on the life cycle impact assessment (LCIA), and particularly on the relevance of global techniques for the development of trustable impact assessment models. We use a novel characterization model developed for the quantification of the impacts of noise on humans as a test case. We show that global SA is fundamental to guarantee that the modeler has a complete understanding of: (i) the structure of the model and (ii) the importance of uncertain model inputs and the interaction among them.

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment

2015

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“…For additional details and examples of fault and event tree construction, we refer to Henley and Kumamoto (1981), Vesely et al (1981), and Rhyne (1994). Boykin et al (1984) applied FETA to analyze the risks associate with the selection of technology alternatives in the chemical storage system. Pet-Armacost et al (1999) used FETA in conjunction with two Monte Carlo simulations (one uses spreadsheet add-in @RISK and the other uses discrete event simulation software ARENA) to conduct a transportation risk analysis of Hydrazine in order to determine whether or not a relief valve should be used.…”

Section: Logical Diagram-based Techniquesmentioning

confidence: 99%

Chapter 9 Hazardous Materials Transportation

Erkut

Tjandra

Verter

2007

Handbooks in Operations Research and Management Science

180

102

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“…In the U.S. nuclear industry, the safety categorization of SSCs follows the procedures of 10 CRF 5059 and is risk informed, that is, it makes use of the insights gained from a probabilistic safety assessment (PSA) model . PSA models allow decisionmakers to estimate the risk metric of interest in a variety of applications, from chemical to nuclear to space risk assessment problems…”

Section: Introductionmentioning

confidence: 99%

On the Relationship between Safety and Decision Significance

2018

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Risk analysts are often concerned with identifying key safety drivers, that is, the systems, structures, and components (SSCs) that matter the most to safety. SSCs importance is assessed both in the design phase (i.e., before a system is built) and in the implementation phase (i.e., when the system has been built) using the same importance measures. However, in a design phase, it would be necessary to appreciate whether the failure/success of a given SSC can cause the overall decision to change from accept to reject (decision significance). This work addresses the search for the conditions under which SSCs that are safety significant are also decision significant. To address this issue, the work proposes the notion of a θ-importance measure. We study in detail the relationships among risk importance measures to determine which properties guarantee that the ranking of SSCs does not change before and after the decision is made. An application to a probabilistic safety assessment model developed at NASA illustrates the risk management implications of our work.

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Risk Assessment in a Chemical Storage Facility

Cited by 14 publications

References 8 publications

A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment

A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment

Chapter 9 Hazardous Materials Transportation

On the Relationship between Safety and Decision Significance

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