Energy Analysis

This textbook provides an introduction to energy analysis for those students who want to specialise in this challenging field. In comparison to other textbooks, this book provides a balanced treatment of complete energy systems, covering the demand side, the supply side, and the energy markets that connect these. The emphasis is very much on presenting a range of tools and methodologies that will help students find their way in analysing real world problems in energy systems. This new edition has been updated throughout and contains additional content on energy transitions and improvements in the treatment of several energy systems analysis approaches. Featuring learning objectives, further readings and practical exercises in each chapter, Introduction to Energy Analysis will be essential reading for upper-level undergraduate and postgraduate students with a background in the natural sciences and engineering. This book may also be useful for professionals dealing with energy issues, as a first introduction into the field.

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.

An interdisciplinary introduction to key-concepts and project applications of energy geostructures

Energy Analysis and Policy: Selected Works discusses the major aspect of electricity economics, including pricing, demand forecasting, investment analysis, and system reliability. This book provides a clear and comprehensive overview of the diversity of problems in analyzing energy markets and designing sound energy policies. Organized into 14 chapters, this book first discusses the energy economics in developing countries; integrated national energy planning (INEP) in developing countries; energy pricing; practical application of INEP using microcomputers; and energy strategies for oil-importing developing countries. Subsequent chapters describe the energy demand management and conservation; national energy policy implementation; energy demand analysis and forecasting; and energy project evaluation and planning. Other chapters explore non-conventional energy project analysis and national energy policy; rural energy issues and supply options; and bioenergy management policy. Rural-industrial energy and fossil fuel issues, as well as energy R&D decision-making in developing countries, are also presented. As the issues in this book are very important, this book will be helpful to a wide and appreciative audience.

The aim of energy analysis is to quantify the energy flows inherent in all systems. As applied to economic systems, it is concerned with the energy flows inherent in the production of goods and services. The claims made for the policy utility of that energy flow information, however, vary across a wide spectrum. The papers included in this symposium volume represent and reflect that spectrum of claims. In setting the stage for these papers, this intro-duction will sketch the areas of agreement and disagreement around which the energy analysis debate revolves. In delineating the nature and substance of the contro-versy over using energy analysis as a policy tool, it is convenient to distinguish between analyses at the micro level and at the macro level. This distinction applies both to the system level at which the analysis is carried out and to the system level to which results are applied. That is, analyses may be carried out for the purpose of comparing two indus-trial processes for producing the same commodity or for the purpose of identifying process changes which would change the energy costs of production (micro analysis) or they may be carried out for the purpose of identifying the contri-bution a technological system set in its environmental context makes to U. S. socioeconomic well-being (macro analysis).

This up-to-date second edition provides a comprehensive examination of the theory and application of Statistical Energy Analysis (SEA) in acoustics and vibration. Complete with examples and data taken from real problems this unique book also exploresthe influence of computers on SEA and emphasizes computer based SEA calculations. In addition to a discussion of the relationship between SEA and other procedures used in response estimation, Theory and Application of Statistical Energy Anlaysis, SecondEdition, explores the basic relationships between model and wave descriptions of systems.

Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with their fundamentals, modeling, analysis, design, realization and experimental results. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Presents some of the latest innovative approaches to renewable energy systems from the point-of-view of dynamic modeling, system analysis, optimization, control and circuit design Focuses on advances related to optimization techniques for renewable energy and forecasting using machine learning methods Includes new circuits and systems, helping researchers solve many nonlinear problems

Discover a straightforward and holistic look at energy conversion and conservation processes using the exergy concept with this thorough text. Explains the fundamental energy conversion processes in numerous diverse systems, ranging from jet engines and nuclear reactors to human bodies. Provides examples for applications to practical energy conversion processes and systems that use our naturally occurring energy resources, such as fossil fuels, solar energy, wind, geothermal, and nuclear fuels. With more than one-hundred diverse cases and solved examples, readers will be able to perform optimizations for a cleaner environment, a sustainable energy future, and affordable energy generation. An essential tool for practicing scientists and engineers who work or do research in the area of energy and exergy, as well as graduate students and faculty in chemical engineering, mechanical engineering and physics.

This book explains why conventional energy analysis and statistics are not useful for generating robust energy scenarios and effective assessments of the quality of alternative energy sources. Then it presents an innovative multi-scale approach, illustrated with empirical results, for effectively dealing with sustainability in face of the coming energy crisis.

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.