Based on articles from Hydrocarbon Processing magazine, this book is a collection of actual case histories, techniques and guidelines with a proven track record in the process industries. It provides practical, problem-solving advice from well-known authorities in their fields.
Advanced Process Control and Information Systems for the Process Industries is an invaluable guide that provides an extensive digest of perspectives from various experts. This handy volume contains an overview of the latest developments in the field, along with the information on new technology - all contained in this one source. If you are involved in process control, instrumentation, or process and information systems, then this book is an important reference for your operations.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Maße
Höhe: 279 mm
Breite: 216 mm
Gewicht
ISBN-13
978-0-88415-239-2 (9780884152392)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
PART I: PROJECT JUSTIFICATION AND IMPLEMENTATION. Conduct process control technology audit. Estimating control function benefits. Develop a strategic automation plan. Hoe to justify small-refinery info/control system modernization. Quantify quality control's intangible benefits. Improve return to advanced controls. Process Control: CLIFFTENT shows it's more profitable than expected. How to lose money with advanced controls. Avoid advanced control project mistakes. Tips for control engineers. Benefits of advanced process control maintenance. PART II: MODEL-BASED CONTROL AND OPTIMIZATION. Online optimization: what, where and estimating ROI. Online Optimization: what have we learned? What's wrong with unit closed-loop optimization? Why a simulation system doesn't match the plant. Successful closed-loop olefins plant optimization. Real-time optimization: an alternative approach. Integrate empirical and physical modeling. Applying neural networks. Neural network modeling for distillation columns. Consider neural networks for process identification. Estimate product quality with ANNs. Improve control with software monitoring technologies. Online soft analyzers benefit refining. Online data reconciliation and error detection. Data reconciliation with unmeasured variables. Statistical analysis updates online predictive models. Simplify fuzzy controller implementation. Meet changing fuel requirements with online blend optimization. LP integrates economics into dynamic matrix control. PART III: INFORMATION SYSTEMS. Understand operation information systems. Information system master planning. Quantify information system benefits. System integration improves refining. Re-engineering refinery systems: the next generation desktop. Computerization: problems and solutions. Select and implement a plantwide information system. Integrate real-time data with decision support. Measuring, managing and maximizing refinery performance. Manage fuel gas with an expert system. Integrated terminal operations improves profitability. Optimize the supply chain. PART IV: FRONTLINE CONTROL. Controlling fired heaters. Controlling shell and tube exchangers. Controlling positive displacement pumps. Controlling steam heaters. Controlling centrifugal pumps. Selecting and applying flowmeters. Using mass meters for liquid measurement. Advanced level control: explained and analyzed. Tuning averaging level controllers. How to choose an online analytical system. Improve process analyzer performance. Use NIR technology to optimize plant operations. Using PLCs in safety applications. How control valves impact process optimization. Index.
