Conference proceeding
Design for Process Safety - A Perspective
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN, v 34, pp 795-800
01 Jan 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Key safety-related elements in process design are discussed: inherent safety, Hazard and Operability (HAZOP) analysis, process integration with improved safety, Model-Predictive Control (MPC) for improved control and risk reduction, identification of special causes, and multi-objective optimization. Recent developments in data mining to extract risk estimates from extensive near- miss records (e.g., alarm databases) are reviewed. Building upon these techniques, the development and application of statistical methods to both predict abnormal events (generally resulting in alarm activations) with leading indicators and to diagnose their special (e.g., root) causes follows. In our view, the goal is to develop and implement techniques and safety systems to better provide plant operators actionable (e.g., valid, timely, non-redundant) information on emerging abnormal situations. These improved techniques should account for today's dynamic operation of process plants, which are more integrated and therefore have increased multivariable interactions that must be taken into account.
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Details
- Title
- Design for Process Safety - A Perspective
- Creators
- Warren D. Seider - Univ Penn, Dept Biomol & Chem Engn, Philadelphia, PA 19104 USAMasoud Soroush - Drexel Univ, Dept Chem & Biol Eng, Philadelphia, PA 19104 USAJeffrey E. Arbogast - Delaware Res Technol Ctr, Air Liquide, Newark, DE 19702 USAUlku G. Oktem - Univ Penn, Risk Manage & Dec Sci Ctr, Philadelphia, PA 19104 USA
- Contributors
- M R Eden (Editor)J D Siirola (Editor)G P Towler (Editor)
- Publication Details
- PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN, v 34, pp 795-800
- Series
- Computer Aided Chemical Engineering
- Publisher
- Elsevier
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000343487400117
- Other Identifier
- 991019170583904721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Engineering, Chemical