Multiscale Modeling For Process Safety Applications

Multiscale Modeling for Process Safety Applications is a new reference demonstrating the implementation of multiscale modeling techniques on process safety applications. It is a valuable resource for readers interested in theoretical simulations and/or computer simulations of hazardous scenarios. As multi-scale modeling is a computational technique for solving problems involving multiple scales, such as how a flammable vapor cloud might behave if ignited, this book provides information on the fundamental topics of toxic, fire, and air explosion modeling, as well as modeling jet and pool fires using computational fluid dynamics. The book goes on to cover nanomaterial toxicity, QPSR analysis on relation of chemical structure to flash point, molecular structure and burning velocity, first principle studies of reactive chemicals, water and air reactive chemicals, and dust explosions. Chemical and process safety professionals, as well as faculty and graduate researchers, will benefit from the detailed coverage provided in this book. Provides the only comprehensive source addressing the use of multiscale modeling in the context of process safety Bridges multiscale modeling with process safety, enabling the reader to understand mapping between problem detail and effective usage of resources Presents an overall picture of addressing safety problems in all levels of modeling and the latest approaches to each in the field Features worked out examples, case studies, and a question bank to aid understanding and involvement for the reader

This book is the result of a careful selection of contributors in the field of CFD. It is divided into three sections according to the purpose and approaches used in the development of the contributions. The first section describes the "high-performance computing" (HPC) tools and their impact on CFD modeling. The second section is dedicated to "CFD models for local and large-scale industrial phenomena." Two types of approaches are basically contained here: one concerns the adaptation from global to local scale, - e.g., the applications of CFD to study the climate changes and the adaptations to local scale. The second approach, very challenging, is the multiscale analysis. The third section is devoted to "CFD in numerical modeling approach for experimental cases." Its chapters emphasize on the numerical approach of the mathematical models associated to few experimental (industrial) cases. Here, the impact and the importance of the mathematical modeling in CFD are focused on. It is expected that the collection of these chapters will enrich the state of the art in the CFD domain and its applications in a lot of fields. This collection proves that CFD is a highly interdisciplinary research area, which lies at the interface of physics, engineering, applied mathematics, and computer science.

Introduces Machine Learning Techniques and Tools and Provides Guidance on How to Implement Machine Learning Into Chemical Safety and Health-related Model Development There is a growing interest in the application of machine learning algorithms in chemical safety and health-related model development, with applications in areas including property and toxicity prediction, consequence prediction, and fault detection. This book is the first to review the current status of machine learning implementation in chemical safety and health research and to provide guidance for implementing machine learning techniques and algorithms into chemical safety and health research. Written by an international team of authors and edited by renowned experts in the areas of process safety and occupational and environmental health, sample topics covered within the work include: An introduction to the fundamentals of machine learning, including regression, classification and cross-validation, and an overview of software and tools Detailed reviews of various applications in the areas of chemical safety and health, including flammability prediction, consequence prediction, asset integrity management, predictive nanotoxicity and environmental exposure assessment, and more Perspective on the possible future development of this field Machine Learning in Chemical Safety and Health serves as an essential guide on both the fundamentals and applications of machine learning for industry professionals and researchers in the fields of process safety, chemical safety, occupational and environmental health, and industrial hygiene.

This book presents the main concepts, state of the art, advances, and case studies of fault detection, diagnosis, and prognosis. This topic is a critical variable in industry to reach and maintain competitiveness. Therefore, proper management of the corrective, predictive, and preventive politics in any industry is required. This book complements other subdisciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc. The book presents real case studies in multiple disciplines. It considers the main topics using prognostic and subdiscipline techniques. It is essential to link these topics with the areas of finance, scheduling, resources, downtime, etc. to increase productivity, profitability, maintainability, reliability, safety, and availability, and reduce costs and downtime. Advances in mathematics, modeling, computational techniques, dynamic analysis, etc. are employed analytically. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of prognostic problems with defined constraints and requirements. The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance or needing to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from academia.

To ensure a healthy lifestyle, fire safety and protocols are essential. The population boom, economic crunches, and excessive exploitation of nature have enhanced the possibilities of destruction due to an event of a fire. Computational simulations enacting case studies and incorporation of fire safety protocols in daily routines can help in avoiding such mishaps.

When accidents occur in the oil and gas industry, the impacts can be profound. Serious injury or death to workers, environmental disasters and colossal costs for insurance or clean ups make the industry a hazardous one to operate in. Disasters become major news events such as the Prestige oil spill, Piper Alpha, Exxon Valdez oil spill and Deepwater Horizon. A move towards improving the health and safety of the industry is underway. This book emphasizes controlling, managing, and mitigating the risk of hazards in the oil and gas industry, increasing safety, and protecting the environment by identifying the hazards in the oil and gas industry through safety engineering techniques and management methods. Safety Engineering in the Oil and Gas Industry discusses how to improve safety and reliability in the oil and gas industry so that hazards can be reduced to the lowest level feasible. It covers the techniques needed to operate safely in an oil and/or gas industry setting, the standards that should be adhered to, the impacts of PPE, fire and explosions, equipment and infrastructure failures and storage and reliability engineering, amongst many other topics. This book is written in an easy-to-read and appealing style and multiple-choice questions are included to help with learning and understanding the concepts included. Underpinned by real life case studies and examples, this book aims to allow readers to consider how they can reduce the costs associated with bad safety practices to their business through maintained and consistent health, safety and environmental (HSE) standards. This book is a must-read for any student or professional studying or working in the oil and gas industries. It also has additional appeal to those with an academic or professional interest in occupational health and safety, civil engineering, offshore engineering and maritime engineering.

Electronic Enclosures, Housings and Packages considers the problem of heat management for electronics from an encasement perspective. It addresses enclosures and their applications for industrial electronics, as well as LED lighting solutions for stationary and mobile markets. The book introduces fundamental concepts and defines dimensions of success in electrical enclosures. Other chapters discuss environmental considerations, shielding, standardization, materials selection, thermal management, product design principles, manufacturing techniques and sustainability. Final chapters focus on business fundamentals by outlining successful technical propositions and potential future directions. Introduces the concepts of materials recycling and sustainability to electronic enclosures Provides thorough coverage of all technical aspects relating to the design and manufacturing of electronic packaging Includes practical information on environmental considerations, shielding, standardization, materials selection, and more

The Impact of Nanoscience in the Food Industry, Volume 12 in The Handbook of Food Bioengineering series, explores how nanoscience applications in food engineering offer an alternative to satisfying current food needs that cannot be fulfilled by natural products. Nanotechnology enables the development of tailored food ingredients and structures to replace products that are difficult to obtain. The book discusses how specialized nano-preservatives, sensors and food degradation and contamination detectors were developed and how they can be introduced in food products without degrading quality or properties of the final product. A valuable resource for food engineering researchers and students alike. Identifies common nanomaterials used in food preservation and food packaging Provides industrial applications to increase food production Describes analytical methods for assessing food safety Identifies how nanoscience advances allow for new developments in functional foods and nutraceuticals Discusses safety concerns, regulations and restricted use of nanomaterials in food bioengineering