Energy optimization in process systems / / Stanislaw Sieniutycz

• Record Nr.: UNINA9911006628503321
• Autore: Sieniutycz Stanislaw
• Pubbl/distr/stampa: Oxford ; ; Amsterdam, : Elsevier, 2009
• ISBN: 1-282-16835-5; 9786612168352; 0-08-091442-X
• Descrizione fisica: 1 online resource (771 p.)
• Classificazione: VN 7300
• Disciplina: 660.281
• Soggetti: Energy conservation; Energy transfer
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front cover; Energy Optimization in Process Systems; Copyright; Contents; Preface; Acknowledgements; Chapter 1: Brief review of static optimization methods; 1.1. Introduction: Signifi cance of Mathematical Models; 1.2. Unconstrained Problems; 1.3. Equality Constraints and Lagrange Multipliers; 1.4. Methods of Mathematical Programming; 1.5. Iterative Search Methods; 1.6. On Some Stochastic Optimization Techniques; Chapter 2: Dynamic optimization problems; 2.1. Discrete Representations and Dynamic Programming Algorithms; 2.2. Recurrence Equations; 2.3. Discrete Processes Linear with Respect to the Time Interval2.4. Discrete Algorithm of the Pontryagin's Type for Processes Linear in èN; 2.5. Hamilton-Jacobi-Bellman Equations for Continuous Systems; 2.6. Continuous Maximum Principle; 2.7. Calculus of Variations; 2.8. Viscosity Solutions and Non-smooth Analyses; 2.9. Stochastic Control and Stochastic Maximum Principle; Chapter 3: Energy limits for thermal engines and heat-pumps at steady states; 3.1. Introduction: Role of Optimization in Determining Thermodynamic Limits; 3.2. Classical Problem of Thermal Engine Driven by Heat Flux; 3.3. Toward Work Limits in Sequential Systems3.4. Energy Utilization and Heat-pumps; 3.5. Thermal Separation Processes; 3.6. Steady Chemical, Electrochemical and Other Systems; 3.7. Limits in Living ; Systems; 3.8. Final Remarks; Chapter 4: Hamiltonian optimization of imperfect cascades; 4.1. Basic Properties of Irreversible Cascade Operations with a Work Flux; 4.2. Description of Imperfect Units in Terms of Carnot Temperature Control; 4.3. Single-stage Formulae in a Model of Cascade Operation; 4.4. Work Optimization in Cascade by Discrete Maximum Principle; 4.5. Example; 4.6. Continuous Imperfect System with Two Finite Reservoirs4.7. Final Remarks; Chapter 5: Maximum power from solar energy; 5.1. Introducing Carnot Controls for Modeling Solar-assisted Operations; 5.2. Thermodynamics of Radiation; 5.3. Classical Exergy of Radiation; 5.4. Flux of Classical Exergy; 5.5. Effi ciencies of Energy Conversion; 5.6. Towards a Dissipative Exergy of Radiation at Flow; 5.7. Basic Analytical Formulae of Steady Pseudo-Newtonian Model; 5.8. Steady Non-Linear Models applying Stefan-Boltzmann Equation; 5.9. Dynamical Theory for Pseudo-Newtonian Models; 5.10. Dynamical Models using the Stefan-Boltzmann Equation5.11. Towards the Hamilton-Jacobi-Bellman Approaches; 5.12. Final Remarks; Chapter 6: Hamilton-Jacobi-Bellman theory of energy systems; 6.1. Introduction; 6.2. Dynamic Optimization of Power in a Finite-resource Process; 6.3. Two Different Works and Finite-Rate Exergies; 6.4. Some Aspects of Classical Analytical HJB Theory for Continuous Systems; 6.5. HJB Equations for Non-Linear Power Generation Systems; 6.6. Analytical Solutions in Systems with Linear Kinetics; 6.7. Extensions for Systems with Non-Linear Kinetics and Internal Dissipation
• Sommario/riassunto: This book covers the optimization and integration of energy systems. The authors are world renowned specialists with extensive didactic experience. Their systematic approach uses thermodynamics, kinetics and economics to study the effect of equipment size, environmental parameters and economic factors on optimal power production and heat integration. They show that reduction of costs can be achieved, in particular costs of utilities common in chemical industry.Presents a unique synthesis of energy optimization and process integration that applies scientific information from thermodyna