Inherently safer design /

This book, titled 'Methods in Chemical Process Safety: Inherently Safer Design,' is an academic volume focused on advancing the understanding and application of inherently safer design (ISD) in chemical process safety. Edited by Faisal I. Khan, Paul R. Amyotte, and Mohammad Alauddin, it co...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Khan, Faisal I. (Editor), Amyotte, Paul R. (Editor), Alauddin, Mohammad (Editor)
Format: eBook
Language:English
Published: Cambridge, MA ; San Diego, CA : Academic Press, an imprint of Elsevier, 2023.
Edition:First editon.
Series:Methods in chemical process safety ; 7.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Intro
  • Inherently Safer Design
  • Copyright
  • Contents
  • Contributors
  • Preface
  • Chapter One: Introduction to inherently safer design
  • 1. Hierarchy of controls
  • 2. Inherently safer design
  • 3. Advantages, limitations, and implications of ISD
  • 3.1. Improved safety
  • 3.2. Reduced costs
  • 3.3. Improved sustainability
  • 3.4. Improved public perception and stakeholder confidence
  • 4. Applications of inherently safer design
  • 5. Overview and development of this volume
  • References
  • Chapter Two: Fundamentals of inherently safer design
  • 1. Inherently safer design strategies
  • 1.1. The elimination/minimization strategy of ISD
  • 1.1.1. Reducing the volume of hazardous materials
  • 1.1.2. Reducing inventory levels
  • 1.1.3. Minimization using process intensification
  • 1.1.4. Minimization by reducing the number and size of critical process equipment
  • 1.1.5. Minimization using reduced energy requirements
  • 1.1.6. Minimization using reducing waste and emissions
  • 1.1.7. Minimization by reducing formation of dust layers and dust clouds
  • 1.2. Substitution strategy of ISD
  • 1.2.1. Substitution of materials
  • 1.2.2. Substitution using alternative chemistry
  • 1.2.3. Substitution of process steps
  • 1.2.4. Substitution of equipment
  • 1.3. Moderation strategy of ISD
  • 1.3.1. Moderation using process conditions
  • 1.3.2. Moderation by dilution and refrigeration
  • 1.3.3. Moderation by inerting
  • 1.3.4. Moderation through control of the specific surface area
  • 1.4. Simplification strategy of ISD
  • 1.4.1. Simplifying system design
  • 1.4.2. Using simple, robust, and modular designs
  • 1.4.3. Using simpler equipment or materials
  • 1.4.4. Simplification of SOP
  • 1.4.5. Simplification of model or algorithm
  • 2. ISD implementation at various stages of the process design life cycle
  • 3. Practical considerations in ISD.
  • 4. Conclusion
  • References
  • Chapter Three: The history of inherently safer design (ISrD)
  • 1. Introduction
  • 2. Early days
  • 3. Trevor Kletz
  • 4. Two disasters incentivize IS
  • 5. Measurement of (inherent) safety
  • 6. Extending the index concept to environmental and occupational health impacts
  • 7. Process intensification
  • 8. Inherent safety regulation
  • 9. The future
  • References
  • Chapter Four: Multiscale process integration techniques for inherently safer design
  • 1. Introduction
  • 2. What is process integration?
  • 3. The multiscale nature of process integration towards ISD
  • 4. Incorporating process-integration targets into a multicriteria economic framework
  • 5. Conclusions
  • References
  • Chapter Five: ISD indices
  • 1. Introduction
  • 2. Indices based on material and chemistry aspects
  • 2.1. Prototype index of inherent safety (PIIS)
  • 2.2. iSafe Index
  • 3. Indices based on equipment aspects
  • 3.1. Inherent safety index (ISI)
  • 3.2. Inherent safety index calculation (ISIC)
  • 3.3. Multi-tier inherent safety indices
  • 3.4. Inherent safety assessment of process equipment (ISAPE)
  • 4. Indices including economic aspects
  • 4.1. Rapid risk analysis-based design
  • 4.2. Integrated inherent safety index (I2SI)
  • 4.3. Risk-based inherent safety index (RISI)
  • 5. Other indices
  • 5.1. Inherent Benign-ness Indicator (IBI)
  • 5.2. Inherent occupational health index (IOHI)
  • 6. Summary and discussion
  • References
  • Chapter Six: Application of inherently safer design in human factor engineering
  • 1. Introduction
  • 2. What is human factor engineering (HFE)
  • 3. Application of inherently safer design in human factor engineering
  • 4. Existing studies of inherently safer design on HFE
  • 4.1. Extensive discussions in the Trevor Kletz Compendium book
  • 4.2. Other related works.
  • 5. ISD to reduce workers exposure in occupational health study
  • 5.1. Health hazards and risks factors
  • 5.2. Health hazards
  • 5.3. Health risks
  • 5.4. Human exposure assessment
  • 5.5. Assumptions in the exposure assessment
  • 5.6. Fugitive emissions
  • 6. Inherent safety strategies on HFE
  • References
  • Chapter Seven: Conceptual and practical applications of ISD
  • 1. Introduction
  • 2. Process risk management incorporating ISD
  • 2.1. Integrating ISD with HAZID/PHA
  • 2.2. Risk-based inherently safer design
  • 2.2.1. Risk-based Inherent Safety Index (RISI)
  • 2.2.2. Risk estimation of base design (RiskBD)
  • 2.2.3. Estimation of inherent safety risk (ISRisk) and selection of optimal design
  • 3. ISD framework for technical and non-technical initiatives
  • 3.1. Road map for incorporating ISD concepts through the life cycle
  • 3.2. Selection of optimal initiatives
  • 3.3. Evaluation indexes and decision-making
  • 4. Inherently safer design considering potential accident costs
  • 4.1. Gaps in the cost analysis of ISD
  • 4.2. Methodology for selecting optimal ISD scheme
  • 4.3. Case study
  • 5. Dust explosions
  • 5.1. Inherent safety principles of dust explosions
  • 5.2. Application to process hazard analysis
  • 5.3. Application to risk management of dust explosions
  • 6. Applications to the nuclear industry
  • 7. Conclusions
  • References
  • Chapter Eight: Challenges to ISD application
  • 1. Introduction
  • 2. Approaches to inherent safety assessment and to ISD
  • 3. ISD implementation in design and monitoring practices
  • 4. Limits in current ISD approach
  • 5. Challenges related to industry perception of ISD
  • 6. Challenges related to regulatory requirements for other measures in the hierarchy of controls
  • 7. Implementation of risk metrics in ISD
  • 7.1. Widening the scope of ISD.
  • 7.2. Integrating ISD with a broader framework concerning sustainability analysis
  • 8. Conclusions
  • References
  • Chapter Nine: ISD regulatory requirements
  • 1. Introduction
  • 2. Regulatory design types
  • 3. Inherent safety in united states regulations
  • 3.1. Environmental protection agency
  • 3.2. New Jersey toxic catastrophe prevention act
  • 3.3. California accidental release prevention regulations
  • 3.3.1. Contra Costa County Ordinance
  • 4. United kingdom inherent safety regulations
  • 5. Concluding remarks
  • References
  • Chapter Ten: Inherently safer design: Case studies
  • 1. Introduction
  • 2. Detailed case studies
  • 2.1. The Flixborough disaster
  • 2.1.1. Minimization or intensification
  • 2.1.2. Moderation
  • 2.2. The Bhopal gas tragedy
  • 2.2.1. Minimization or intensification
  • 2.2.2. Substitution
  • 2.3. Mexico City disaster
  • 2.3.1. Minimization
  • 2.3.2. Moderation
  • 2.3.3. Substitution
  • 2.3.4. Simplification
  • 2.4. Westray coal mine explosion
  • 2.4.1. Minimization
  • 2.4.2. Substitution
  • 2.4.3. Moderation
  • 2.4.4. Simplification
  • 2.5. West fertilizer explosion
  • 2.5.1. Minimization
  • 2.5.2. Simplification
  • 2.5.3. Substitution
  • 3. Lessons from other accidents
  • 4. Conclusion
  • References
  • Further reading
  • Chapter Eleven: Information security risk-based inherently safer design for intelligent oil and gas pipeline systems
  • 1. Introduction
  • 2. Bibliometric and knowledge graph analysis
  • 3. Information security risk and novel accident-causing mechanisms for intelligent pipeline systems
  • 3.1. Attack issues
  • 3.2. Vulnerability issues
  • 3.3. Propagation issues
  • 4. Early warning of different types of attacks on information security threats
  • 5. Conclusion
  • References
  • Chapter Twelve: Deep probability learning-based release consequence estimation approach for inherently safer design of ch.
  • 1. Introduction
  • 2. Framework of deep probability learning-based release consequence estimation for inherently safer design of chemical plant
  • 2.1. Input data related to chemical process
  • 2.2. Deep probability learning-based release and dispersion consequence modeling
  • 2.3. Application to inherent safer design of chemical plant
  • 3. Case study 1: Hydrogen refueling station
  • 3.1. Benchmark dataset
  • 3.2. Model development, validation and comparison
  • 4. Case study 2: LNG plant
  • 4.1. Benchmark dataset
  • 4.2. Model development, validation and comparison
  • 5. Case study 3: Offshore platform
  • 5.1. Benchmark datasets
  • 5.2. Model development, validation and comparison
  • 6. Conclusions
  • References
  • Chapter Thirteen: ISD and inherently safer operation (ISO)
  • 1. Introduction
  • 1.1. Dimensions of inherent assessment
  • 1.2. Inherent safety and process life cycle
  • 2. Inherently safer operation (ISO)
  • 2.1. Scope of ISO
  • 2.2. How to implement ISO
  • 2.3. How ISO can be helpful
  • 3. Guidewords for ISO
  • 4. Case studies for ISO implementation
  • 4.1. Bromine storage facility-Minimization and simplification
  • 4.2. Ammonia storage-Substitution
  • 4.3. Ethylene oxide-Moderation and simplification
  • 4.4. Waste heat boiler-Substitution and screening review importance
  • 5. Available research and future prospects
  • 6. Summary and conclusions
  • References
  • Chapter Fourteen: Future of inherently safer design
  • 1. Introduction
  • 2. What can the history of ISD teach us?
  • 3. ISD in education
  • 4. ISD success stories
  • 5. ISD in other industries
  • 6. ISD in regulations and standards
  • 7. Concluding remarks
  • References.