Energy Optimization in Process Systems and Fuel Cells, 2nd Edition . With rising energy prices, imminent energy shortages, and increasing environmental impacts of energy production, energy optimization and systems integration is critically important. The book applies thermodynamics, kinetics and economics to study the effect of equipment size, environmental parameters, and economic factors on optimal power production and heat integration. Author Stanislaw Sieniutycz, highly recognized for his expertise and teaching, shows how costs can be substantially reduced, particularly in utilities common in the chemical industry. This second edition contains substantial revisions, with particular focus on the rapid progress in the field of fuel cells, related energy theory, and recent advances in the optimization and control of fuel cell systems. Readership. Graduate students and researchers in chemical, mechanical, materials and environmental engineering, as well as those engaged in system theory, operation research, chemistry, applied physics, applied mathematics. Stanislaw Sieniutycz. Stanislaw Sieniutycz is Professor of Chemical Engineering at the Institute of Chemical and Process Engineering at the Warsaw University of Technology in Poland. His research focuses on thermal and chemical engineering with special emphasis on the control, stability and optimization of chemical and electrochemical reaction systems. He published 1. 0 books with international scientific publishers and 2. He is Associate Editor and Member of Editorial Board of the Journal of Non- Equilibrium Thermodynamics, Associate Editor and Member of Editorial Board of the Journal: Open Systems and Information Dynamics, Associate Editor and Member of Editorial Board of the Journal: International Journal of Applied Thermodynamics, Member of Editorial Board of the Journal: Energy & Conversion Management, Associate Editor of Advances in Thermodynamics Series, Member of Committee of Chemical Engineering at Polish Academy of Sciences. Brief review of static optimization methods. Introduction: significance of mathematical models. Issuu is a digital publishing platform that makes it simple to publish magazines, catalogs, newspapers, books, and more online. Easily share your publications and get them in front of Issuu’s millions of monthly readers. Optimization of hybrid renewable energy power systems. Hybrid renewable energy systems Optimization Mathematical modeling. A., “Solar Engineering of Thermal Process,” Wiley & Sons, 1991. Introduction to Process Optimization. Go back to Home Page Energy Optimization in Process Systems and Fuel Cells (2nd Edition).
Unconstrained problems. Equality constraints and lagrange multipliers. Methods of mathematical programming. Iterative search methods. Mobi (for Kindle), PDF. Overview; Authors; Table of Contents. Energy Optimization in Process Systems and Fuel Cells. On some stochastic optimization techniques. Dynamic optimization problems. Discrete representations and dynamic programming algorithms. Recurrence equations. Discrete processes linear with respect to the time interval. Discrete algorithm of Pontryagin’s type for processes linear in ? N2. 5 Hamilton–Jacobi–Bellman equations for continuous systems. Continuous Maximum Principle. Calculus of variations. Viscosity solutions and nonsmooth analyses. Stochastic control and stochastic Maximum Principle. Energy limits for thermal engines and heat pumps at steady states. Introduction: role of optimization in determining thermodynamic limits. Classical problem of thermal engine driven by heat flux. Toward work limits in sequential systems. Energy utilization and heat pumps. Thermal separation processes. Steady chemical, electrochemical, and other systems. Limits in living systems. Final remarks. 4. Hamiltonian optimization of imperfect cascades. Basic properties of irreversible cascade operations with a work flux. Description of imperfect units in terms of carnot temperature control. Single- stage formulae in a model of cascade operation. Work optimization in cascade by discrete maximum principle. Example. 4. 6 Continuous imperfect system with two finite reservoirs. Final remarks. 5. Maximum power from solar energy. Introducing Carnot controls for modeling solar- assisted operations. Thermodynamics of radiation. Classical exergy of radiation. Flux of classical exergy. Efficiencies of energy conversion. Towards a dissipative exergy of radiation at flow. Basic analytical formulae of steady pseudo- Newtonian model. Steady nonlinear models applying Stefan–Boltzmann equation. Dynamical theory for pseudo- Newtonian models. Dynamical models using the Stefan–Boltzmann equation. Towards the Hamilton–Jacobi–Bellman approaches. Final remarks. 6. Hamilton–Jacobi–Bellman theory of energy systems. Introduction. 6. 2 Dynamic optimization of power in a finite- resource process. Two different works and finite- rate exergies. Some aspects of classical analytical HJB theory for continuous systems. HJB equations for nonlinear power generation systems. Analytical solutions in systems with linear kinetics. Extensions for systems with nonlinear kinetics and internal dissipation. Generalized exergies for nonlinear systems with minimum dissipation. Final remarks. 7. Numerical optimization in allocation, storage and recovery of thermal energy and resources. Introduction. 7. 2 A discrete model for a nonlinear problem of maximum power from radiation. Nonconstant Hamiltonians and convergence of discrete DP algorithms to viscosity solutions of HJB equations. Dynamic programming equation for maximum power from radiation. Discrete approximations and time adjoint as a Lagrange multiplier. Mean and local intensities in discrete processes. Legendre transform and original work function. Numerical approaches applying dynamic programming. Dimensionality reduction in dynamic programming algorithms. Concluding remarks. Optimal control of separation processes. General thermokinetic issues. Thermodynamic balances toward minimum heat or work. Results for irreversible separations driven by work or heat. Thermoeconomic optimization of thermal drying with fluidizing solids. Solar energy application to work- assisted drying. Concluding Remarks. Optimal decisions for chemical reactors. Introduction. 9. 2 Driving forces in transport processes and chemical reactions. General nonlinear equations of macrokinetics. Classical chemical and electrochemical kinetics. Inclusion of nonlinear transport phenomena. Continuous description of chemical (electrochemical) kinetics and transport phenomena. Toward power production in chemical systems. Thermodynamics of power generation in nonisothermal chemical engines. Nonisothermal engines in terms of carnot variables. Entropy production in steady systems. Dissipative availabilities in dynamic systems. Characteristics of steady isothermal engines. Sequential models for dynamic power generators. A computational algorithm for dynamic process with power maximization. Results of computations. Some additional comments. Complex chemical power systems with internal dissipation. Fuel cells and limiting performance of electrochemobiological systems. Introduction. 10. Electrochemical engines. Thermodynamics of entropy production and power limits in fuel cells. Calculation of operational voltage. Thermodynamic account of current- dependent and current- independent imperfections. Evaluation of mass flows, power output, and efficiency. Quality characteristics and feasibility criteria. Some experimental results. Assessing power limits in steady thermoelectrochemical engines. Hybrid systems. 10. Unsteady states, dynamic units, and control problems. Biological fuel cells and biological sources of hydrogen. Energy and size limits for living organisms in biological systems. A brief commentary on development and evolution of species. Systems theory in thermal and chemical engineering. Introduction. 11. System energy analyses. Mathematical modeling of industrial energy management. Linear model of the energy balance for an industrial plant and its applications. Nonlinear mathematical model of short- term balance of industrial energy system. Mathematical optimization model for the preliminary design of industrial energy systems. Remarks on diverse methodologies and link with ecological criteria. Control thermodynamics for explicitly dynamical systems. Interface of energy limits, structure design, thermoeconomics and ecology. Towards the thermoeconomics and integration of heat energy. Heat integration within process integration. Maximum heat recovery and its consequences for process system design. Introduction and problem formulation. Composite curve (CC) plot. Problem table (Pr- T) method. Grand composite curve (GCC) plot. Special topics in MER/MUC calculations. Summary and further reading. Targeting and supertargeting in heat exchanger network design. Targeting stage in overall design process. Basis of sequential approaches for HEN targeting. Basis of simultaneous approaches for HEN targeting. Minimum utility cost (MUC) target by optimization approaches. Introduction and MER problem solution by mathematical programming. MUC problem solution methods. Dual matches. 15. Minimum utility cost under disturbances. Minimum number of units (MNU) and minimum total surface area (MTA) targets. Introduction. 16. Minimum number of matches (MNM) target. Minimum total area for matches (MTA- m) target. Minimum number of shells (MNS) target. Minimum total area for shells (MTA- s) target. Simultaneous HEN targeting for total annual cost. TAC- Transp model. Heat exchanger network synthesis. Introduction. 18. Sequential approaches. Simultaneous approaches to HEN synthesis. Heat exchanger network retrofit. Introduction. 19. Network pinch method. Simultaneous approaches for HEN retrofit. Approaches to water network design. Introduction. 20. Mathematical models and data for water network problem. Overview of approaches in the literature. Reference. Glossary. Symbols in thermal integration algorithms (Chapters 1. Index. Quotes and reviews.
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