This book addresses the concept and applications of Finite Time Thermodynamics to various thermal energy conversion systems including heat engines, heat pumps, and refrigeration and air-conditioning systems. The book is the first of its kind, presenting detailed analytical formulations for the design and optimisation of various power producing and cooling cycles including but not limited to: • Vapour power cycles • Gas power cycles • Vapour compression cycles • Vapour absorption cycles • Rankine cycle coupled refrigeration systems Further, the book addresses the thermoeconomic analysis for the optimisation of thermal cycles, an important field of study in the present age and which is characterised by multi-objective optimization regarding energy, ecology, the environment and economics. Lastly, the book provides the readers with key techniques associated with Finite Time Thermodynamics, allowing them to understand the relevance of irreversibilities associated with real processes and the scientific reasons for deviations from ideal performance. The book is aimed at a broad readership, and offers a valuable reference book for graduate students, scholars and professionals working in the areas of thermal science and engineering.

Over 170 years ago, Sadi Carnot, a French engineer, published his famous article "Reflections on the motive power of fire" and established a new field of science: classical thermodynamics. Since 1985, the scholars in the Naval University of Engineering (from 1949 to 1998) have been making the research work in the field of finite time thermodynamics. This multi-authored book deals with the recent advances of finite time thermodynamics in the Naval University of Engineering. It illustrates how the gap between thermodynamics, heat transfer, and fluid mechanics is bridged. It also illustrates how the gap between physics and engineering is bridged. The readers should find the papers informative and useful for analysis and design of thermodynamic systems with improved performance. The authors hope that this collection of work devoted to finite thermodynamics will provide encouragement for further research in the field.

Finite-time thermodynamics (FTT) is one of the newest and most challenging areas in thermodynamics. The objective of this book is to provide results from research, which continues at an impressive rate. The authors make a concentrated effort to reach out and encourage academic and industrial participation in this book and to select papers that are relevant to current problems and practice. The numerous contributions from the international community are indicative of the continuing global interest in finite-time thermodynamics. All represent the newest developments in their respective areas.

This book focuses on modern technologies and systems for solving problems in the energy sector. It is shown that bioenergy is one of the promising areas of energy development. The book collected the experience of scientists from many countries in the research of renewable energy. The advantages of renewable energy are general availability, renewability, environmental friendliness. The analysis carried out by the authors shows the current state of renewable energy in the world, its trends and prospects. New measuring systems are presented, which can become the basis for measuring the thermal characteristics of various types of fuels, including biofuels, insulating materials, enclosing structures, etc. System for monitoring of grainy biomass comminution with the use of genetic algorithms has been presented and described. New technologies for the construction of power plants based on renewable energy sources have been proposed and investigated.

In Indian context.

A comprehensive assessment of the methodologies of thermodynamic optimization, exergy analysis and thermoeconomics, and their application to the design of efficient and environmentally sound energy systems. The chapters are organized in a sequence that begins with pure thermodynamics and progresses towards the blending of thermodynamics with other disciplines, such as heat transfer and cost accounting. Three methods of analysis stand out: entropy generation minimization, exergy (or availability) analysis, and thermoeconomics. The book reviews current directions in a field that is both extremely important and intellectually alive. Additionally, new directions for research on thermodynamics and optimization are revealed.

Due to the rapid advances in computer technology, intelligent computer software and multimedia have become essential parts of engineering education. Software integration with various media such as graphics, sound, video and animation is providing efficient tools for teaching and learning. A modern textbook should contain both the basic theory and principles, along with an updated pedagogy. Often traditional engineering thermodynamics courses are devoted only to analysis, with the expectation that students will be introduced later to relevant design considerations and concepts. Cycle analysis is logically and traditionally the focus of applied thermodynamics. Type and quantity are constrained, however, by the computational efforts required. The ability for students to approach realistic complexity is limited. Even analyses based upon grossly simplified cycle models can be computationally taxing, with limited educational benefits. Computerised look-up tables reduce computational labour somewhat, but modelling cycles with many interactive loops can lie well outside the limits of student and faculty time budgets. The need for more design content in thermodynamics books is well documented by industry and educational oversight bodies such as ABET (Accreditation Board for Engineering and Technology). Today, thermodynamic systems and cycles are fertile ground for engineering design. For example, niches exist for innovative power generation systems due to deregulation, co-generation, unstable fuel costs and concern for global warming. Professor Kenneth Forbus of the computer science and education department at Northwestern University has developed ideal intelligent computer software for thermodynamic students called CyclePad. CyclePad is a cognitive engineering software. It creates a virtual laboratory where students can efficiently learn the concepts of thermodynamics, and allows systems to be analyzed and designed in a simulated, interactive computer aided design environment. The software guides students through a design process and is able to provide explanations for results and to coach students in improving designs. Like a professor or senior engineer, CyclePad knows the laws of thermodynamics and how to apply them. If the user makes an error in design, the program is able to remind the user of essential principles or design steps that may have been overlooked. If more help is needed, the program can provide a documented, case study that recounts how engineers have resolved similar problems in real life situations. CyclePad eliminates the tedium of learning to apply thermodynamics, and relates what the user sees on the computer screen to the design of actual systems. This integrated, engineering textbook is the result of fourteen semesters of CyclePad usage and evaluation of a course designed to exploit the power of the software, and to chart a path that truly integrates the computer with education. The primary aim is to give students a thorough grounding in both the theory and practice of thermodynamics. The coverage is compact without sacrificing necessary theoretical rigor. Emphasis throughout is on the applications of the theory to actual processes and power cycles. This book will help educators in their effort to enhance education through the effective use of intelligent computer software and computer assisted course work.

This book presents the diverse and rapidly expanding field of Entropy Generation Minimization (EGM), the method of thermodynamic optimization of real devices. The underlying principles of the EGM method - also referred to as "thermodynamic optimization," "thermodynamic design," and "finite time thermodynamics" - are thoroughly discussed, and the method's applications to real devices are clearly illustrated. The EGM field has experienced tremendous growth during the 1980s and 1990s. This book places EGM's growth in perspective by reviewing both sides of the field - engineering and physics. Special emphasis is given to chronology and to the relationship between the more recent work and the pioneering work that outlined the method and the field. Entropy Generation Minimization combines the fundamental principles of thermodynamics, heat transfer, and fluid mechanics. EGM applies these principles to the modeling and optimization of real systems and processes that are characterized by finite size and finite time constraints, and are limited by heat and mass transfer and fluid flow irreversibilities. Entropy Generation Minimization provides a straightforward presentation of the principles of the EGM method, and features examples that elucidate concepts and identify recent EGM advances in engineering and physics. Modern advances include the optimization of storage by melting and solidification; heat exchanger design; power from hot-dry-rock deposits; the on & off operation of defrosting refrigerators and power plants with fouled heat exchangers; the production of ice and other solids; the maximization of power output in simple power plant models with heat transfer irreversibilities; the minimization of refrigerator power input in simple models; and the optimal collection and use of solar energy.

This book and the accompanying computer software are intended to enhance and streamline the study of the field of thermodynamics. The package is design and problem-solving oriented. Released from the drain of repetitive and iterative hand calculation, students can be led to a far wider and deeper study than has been possible previously.

Despite the vast research on energy optimization and process integration, there has to date been no synthesis linking these together. This book fills the gap, presenting optimization and integration in energy and process engineering. The content is based on the current literature and includes novel approaches developed by the authors. Various thermal and chemical systems (heat and mass exchangers, thermal and water networks, energy converters, recovery units, solar collectors, and separators) are considered. Thermodynamics, kinetics and economics are used to formulate and solve problems with constraints on process rates, equipment size, environmental parameters, and costs. Comprehensive coverage of dynamic optimization of energy conversion systems and separation units is provided along with suitable computational algorithms for deterministic and stochastic optimization approaches based on: nonlinear programming, dynamic programming, variational calculus, Hamilton-Jacobi-Bellman theory, Pontryagin's maximum principles, and special methods of process integration. Integration of heat energy and process water within a total site is shown to be a significant factor reducing production costs, in particular costs of utilities for the chemical industry. This integration involves systematic design and optimization of heat exchangers and water networks (HEN and WN). After presenting basic, insight-based Pinch Technology, systematic, optimization-based sequential and simultaneous approaches to design HEN and WN are described. Special consideration is given to the HEN design problem targeting stage, in view of its importance at various levels of system design. Selected, advanced methods for HEN synthesis and retrofit are presented. For WN design a novel approach based on stochastic optimization is described that accounts for both grassroot and revamp design scenarios. - Presents a unique synthesis of energy optimization and process integration that applies scientific information from thermodynamics, kinetics, and systems theory - Discusses engineering applications including power generation, resource upgrading, radiation conversion and chemical transformation, in static and dynamic systems - Clarifies how to identify thermal and chemical constraints and incorporate them into optimization models and solutions