Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals provides an analysis of current approaches for preventing disasters, and gives readers an overview on which methods to adopt. The book covers safety regulations, history and trends, industrial disasters, safety problems, safety tools, and capital and operational costs versus the benefits of safety, all supporting project decision processes. Tools covered include present day array of risk assessment, tools including HAZOP, LOPA and ORA, but also new approaches such as System-Theoretic Process Analysis (STPA), Blended HAZID, applications of Bayesian data analytics, Bayesian networks, and others. The text is supported by valuable examples to help the reader achieve a greater understanding on how to perform safety analysis, identify potential issues, and predict the likelihood they may appear. - Presents new methods on how to identify hazards of low probability/high consequence events - Contains information on how to develop and install safeguards against such events, with guidance on how to quantify risk and its uncertainty, and how to make economic and societal decisions about risk - Demonstrates key concepts through the use of examples and relevant case studies

Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals provides an analysis of current approaches for preventing disasters, and gives readers an overview on which methods to adopt. The book covers safety regulations, history and trends, industrial disasters, safety problems, safety tools, and capital and operational costs versus the benefits of safety, all supporting project decision processes. Tools covered include present day array of risk assessment, tools including HAZOP, LOPA and ORA, but also new approaches such as System-Theoretic Process Analysis (STPA), Blended HAZID, applications of Bayesian data analytics, Bayesian networks, and others. The text is supported by valuable examples to help the reader achieve a greater understanding on how to perform safety analysis, identify potential issues, and predict the likelihood they may appear.

Dynamic Risk Analysis in the Chemical and Petroleum Industry focuses on bridging the gap between research and industry by responding to the following questions: - What are the most relevant developments of risk analysis? - How can these studies help industry in the prevention of major accidents? Paltrinieri and Khan provide support for professionals who plan to improve risk analysis by introducing innovative techniques and exploiting the potential of data share and process technologies. This concrete reference within an ever-growing variety of innovations will be most helpful to process safety managers, HSE managers, safety engineers and safety engineering students. This book is divided into four parts. The Introduction provides an overview of the state-of-the-art risk analysis methods and the most up-to-date popular definitions of accident scenarios. The second section on Dynamic Risk Analysis shows the dynamic evolution of risk analysis and covers Hazard Identification, Frequency Analysis, Consequence Analysis and Establishing the Risk Picture. The third section on Interaction with Parallel Disciplines illustrates the interaction between risk analysis and other disciplines from parallel fields, such as the nuclear, the economic and the financial sectors. The final section on Dynamic Risk Management addresses risk management, which may dynamically learn from itself and improve in a spiral process leading to a resilient system. - Helps dynamic analysis and management of risk in chemical and process industry - Provides industry examples and techniques to assist you with risk- based decision making - Addresses also the human, economic and reputational aspects composing the overall risk picture

Crises in Oil, Gas and Petrochemical Industries: Loss Prevention and Disaster Management, Volume Two provides an overview of both natural and manmade disasters occurring in oil, gas and petrochemical industries and prepares special solutions based on their types. The book focuses on loss prevention and disaster management in petrochemical industries from different points-of-view. Sections review methods for making the apparatus safer and continue with discussions on the process of facing and managing disasters during the occurrence. Final sections cover loss and economic analysis after disasters and methods of reversibility are presented with case studies from around the world. - Introduces pre-disaster strategies in oil, gas and petrochemical industries - Describes during-disaster strategies in oil, gas and petrochemical industries - Discusses post-disaster management methods in oil, gas and petrochemical industries

Control and Safety Analysis of Intensified Chemical Processes Resource on the control and safety analysis of intensified chemical processes, ranging from general methods to specific applications Control and Safety Analysis of Intensified Chemical Processes covers the basic principles of and recent developments in control and safety analysis of intensified chemical processes, ranging from dynamic simulations and safety analysis to the design and control of important processes. The text discusses general methods and tools such as dynamic simulation, control and safety analysis as well as design aspects and analysis of important applications in order to provide scientists and engineers with an understanding of the design, control and safety considerations involved in intensified chemical processes. Sample topics covered in Control and Safety Analysis of Intensified Chemical Processes include: Simulation and optimization methods, common programs and simulators for simulation and optimization, and interfacing of simulators and optimizers Programs/simulators for dynamic simulation and control, tuning of controllers, and popular criteria for control assessment Control of a hybrid reactive-extractive distillation systems for ternary azeotropic mixtures, reactive distillation in recycle systems, and middle vessel batch distillation with vapor recompression Safety analysis of intensified processes (e.g. extractive distillation, dividing wall column, dividing wall column with mechanical vapor recompression, and algal biodiesel process) A comprehensive resource on the subject, Control and Safety Analysis of Intensified Chemical Processes is a highly valuable reference for researchers, students and practitioners interested in process intensification and their applications. The text can be adopted by instructors for use in advanced courses on process control and safety.

Methods in Chemical Process Safety, Volume Four focuses on the process of learning from experience, including elements of process safety management, human factors in the chemical process industries, and the regulation of chemical process safety, including current approaches. Users will find this book to be an informative tool and user manual for process safety for a variety of professionals with this new release focusing on Advanced Methods of Risk Assessment and Management, Logic Based Methods for Dynamic Risk Assessment, Bayesian Methods for Dynamic Risk Assessment, Data Driven Methods, Rare Event Risk Assessment, Risk Management and Multi Criteria, and much more. - Helps acquaint the reader/researcher with the fundamentals of process safety - Provides the most recent advancements and contributions on the topic from a practical point-of-view - Presents users with the views/opinions of experts in each topic - Includes a selection of authors who are leading researchers and/or practitioners for each given topic

This book is a valuable resource for achieving and promoting a culture of risk awareness and integrating risk management principles and practices into the educational environment. This integration is essential to ensure that students have the knowledge and skills to identify hazards, and assess and control risks in different contexts through the development and implementation of a risk management curriculum. Besides theoretical considerations and learning to ask the right questions at all times for the sake of critical thinking, effective risk management education also involves the use of case studies, simulations and other experiential learning tools to help students understand and apply risk management concepts in real-life situations. This approach helps students develop a questioning attitude and problem-solving skills, which are essential for effective risk management. Overall, the interface between risk management and education is essential to develop a generation of professionals who can effectively deal with risks in a variety of contexts. By integrating risk management principles and practices into the educational process, educational institutions can help ensure that their students are well prepared to meet the challenges of the modern world.

"Product and process design - driving sustainable innovation" is the 2nd edition of a comprehensive textbook for product and process design courses at BSc, MSc, EngD, and PhD level. It covers both heuristics based design methods as well as systems engineering approaches. It contains specific methods to co-design products and processes, so that both designs are better than when these designs are made separately. This integrated combination makes the book unique. For making designs that contribute to the Sustainable Development Goals of the United Nations specific methods are provided for the People, Planet, and Prosperity dimensions. This second edition of the book includes examples and exercises for each design method, which makes it very suitable for teaching purposes. The book is furthermore of interest to industrial process and product developers for many industry branches as it provides methods for design, modelling, and experimental validation for each innovation stage. It is also very useful for R&D managers as it provides guidelines for essential activities in each innovation stage (discovery, concept, feasibility, development, detailed engineering), leading to successful implementations of new processes and new products.

This book discusses the current trends in and applications of artificial intelligence research in intelligent systems. Including the proceedings of the Artificial Intelligence Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held in April 2019, it features papers on neural networks algorithms, optimisation algorithms and real-world issues related to the application of artificial methods.