Salinity Gradient Heat Engines classifies all the existing SGHEs and presents an in-depth analysis of their fundamentals, applications and perspectives. The main SGHEs analyzed in this publication are Osmotic, the Reverse Electrodialysis, and the Accumulator Mixing Heat Engines. The production and regeneration unit of both cycles are described and analyzed alongside the related economic and environmental aspects. This approach provides the reader with very thorough knowledge on how these technologies can be developed and implemented as a low-impact power generation technique, wherever low-temperature waste-heat is available. This book will also be a very beneficial resource for academic researchers and graduate students across various disciplines, including energy engineering, chemical engineering, chemistry, physics, electrical and mechanical engineering.

Physical Capital Development and Energy Transition in Latin America and the Caribbean introduces the reader to applied theory and potential solutions to manage the transition from fossil energies to renewables given the resource wealth and infrastructural limitations of Latin American and Caribbean (LAC) countries. The work presents consistent empirical approaches and relevant econometric approaches grounded in case studies that offer realistic portrayals of complex multidisciplinary phenomena. It provides policymakers with the knowledge needed for economic decision-making, especially regarding the energy transition and the physical capital development in the LAC (and similar developing regions). The work concludes by road mapping future LAC physical capital investment options to promote 21st-century sustainable energy development.

Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more. This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems.

Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current measurement trends required by increasingly more sophisticated grids. Chapters outline core definitions, concepts and the network analysis procedures involved in the real-time operation of EPS. Specific sections introduce power flow problem in EPS, highlighting network component modeling and power flow equations for state estimation before addressing quasi static state estimation in electrical power systems using Weighted Least Squares (WLS) classical and alternatives formulations. Particularities of the state estimation process in distribution systems are also considered. Finally, the work goes on to address observability analysis, measurement redundancy and the processing of gross errors through the analysis of WLS static state estimator residuals.

Innovation Dynamics and Policy in the Energy Sector discusses the process and future of global innovation in the energy sector based on the innovation leadership example of Texas. The book proposes that the positive dynamics of Texas energy sector innovations arises from a confluence of factors, including supportive institutions, the management of technological change, competitive markets, astute public policy, intraindustrial collaboration, a cultural focus on change and risk-taking, and natural resource abundance. Heavily case-study focused chapters review the fundamental drivers of innovation, from key discoveries at Spindletop; the proliferation of oil production through major field development; through electric sector deregulation; and recent innovation in hydraulic fracking, renewable integration, and carbon capture. The work closes to argue that sustainable global innovation addressing the twin challenges of climate change and the energy transition must be driven by the promotion of competition and risk-taking which continually promotes the development of ideas, a process jointly funded by the public and private sectors and supported by collaborative and competitive institutions.

Power Processing Circuits Design seamlessly infuses important mathematical models and approaches into the optimization of power processing circuits and linear systems. The work unites a constellation of challenging mathematical topics centered on differential equations, linear algebra and implicit functions, with multiple perspectives from electrical, mathematical and physical viewpoints, including power handling components, power filtering and power regulation. Power applications covered encompass first order RC and RL, second order RLC circuits with periodic drives, constant current source, close-loop feedback practices, control loop types, linear regulator, switch-mode regulator and rotation control.

Microgrid Protection and Control is the result of numerous research works and publications by R&D engineers and scientists of the Microgrid and Energy Internet Research Centre. Through the authors long-routed experience in the microgrid and energy internet industry, this book looks at the sophisticated protection and control issues connected to the special nature of microgrid. The book explains the different ways of classifying types of microgrids and common misconceptions, looking at industrial and research trends along with the different technical issues and challenges faced with deploying microgrid in various settings. Forecasting short-term demand and renewable generation for optimal operation is covered with techniques for accurate enhancement supported with practical application examples. With chapters on dynamic, transient and tertiary control and experimental and simulation tests this reference is useful for all those working in the research, engineering and application of microgrids and power distribution systems.

Operation, Maintenance, and Repair of Land-Based Gas Turbines provides a toolkit for practitioners seeking to make technoeconomic decisions on life extension of power turbine equipment. The work describes essential degradation modes affecting critical components and proven methods of restoration. Sections discuss key elements of life extensions for aging units and components, together with critical reviews of available methodologies. Coverage includes advanced nondestructive testing methods essential for effective life extension programs, including lessons learned from firsthand experience working with multiple machine designs, classes and operating conditions. The final sections cover a body of solutions intended to refocus ORM processes on overcoming the shortfalls caused by volatilities and system restructuring.

The Cost of Electricity is an essential tool for any researcher or practitioner seeking to establish the economic and environmental cost of power generation, and thereby to analyse the economic feasibility of power systems. Chapters cover capital cost, fuel cost, levelised cost, subsidies and tariffs, lifetime emission analysis, net energy analysis, traditional generation costs and renewable generation costs. The work is based on published analyses of generation costs and generation cost predictions from trusted organisations such as the US Energy Information Administration and the IEA. Chapters proceed in a logical manner through cost factors before concluding with the current and future cost of electricity generation.

Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies. Interactions among various energy carriers in local energy systems are investigated in scalable and flexible optimization models for adaptation to a number of real contexts thanks to the wide variety of generation, conversion and storage technologies considered, the exploitation of demand side flexibility, emerging technologies, and through the general mathematical formulations established.

Power System Flexibility provides a consolidated foundation in the design, planning, and operation of intermittent highly renewable power systems—integrating core theory, mathematical analysis, and modern international applications in an unusually multidisciplinary approach. Opening with an expansive theoretical grounding in the definition, analysis, and modeling of power systems, the book demonstrates how to apply flexibility theory to critical problems involving intermittency and variability in power system planning and operation. The guide concludes with an international complement of case studies, demonstrating how flexibility theory has been applied to real-world projects of increasing complexity.

Advances in Smart Grid Power System: Network, Control and Security discusses real world problems, solutions, and best practices in related fields. The book includes executable plans for smart grid systems, their network communications, tactics on protecting information, and response plans for cyber incidents. Moreover, it enables researchers and energy professionals to understand the future of energy delivery systems and security. Covering fundamental theory, mathematical formulations, practical implementations, and experimental testing procedures, this book gives readers invaluable insights into the field of power systems, their quality and reliability, their impact, and their importance in cybersecurity.

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study-driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting.

Dry Syngas Purification Processes for Coal Gasification Systems illustrates the promising development status of dry syngas purification for various power generation systems based on coal gasification. The core advantages of dry syngas purification, methodologies for impurity measurement, sorbents development, and evaluation of process performance are described in-depth, and from a practical perspective that is based on current research and development. Reviewing key findings from process integration, the book encompasses scale-up strategies from pilot processes to achieve dry syngas processing for new build plants. The book provides researchers and engineers with practical information to realize dry syngas purification processes for each context.

Low Carbon Energy Technologies for Sustainable Energy Systems examines, investigates, and integrates current research aimed at operationalizing low carbon technologies within complex transitioning energy economies. Scholarly research has traditionally focused on the technical aspects of exploitation, R&D, operation, infrastructure, and decommissioning, while approaches which can realistically inform their reception and scale-up across real societies and real markets are piecemeal and isolated in separate literatures. Addressing both the technical foundations of each technology together with the sociotechnical ways in which they are spread in markets and societies, this work integrates the technoeconomic assessment of low carbon technologies with direct discussion on legislative and regulatory policies in energy markets. Chapters address issues, such as social acceptance, consumer awareness, environmental valuation systems, and the circular economy, as low carbon technologies expand into energy systems sustainability, sensitivity, and stability. This collective research work is relevant to both researchers and practitioners working in sustainable energy systems. The combination of these features makes it a timely book that is useful and attractive to university students, researchers, academia, and public or private energy policy makers.

Hybrid Renewable Energy Systems and Microgrids covers the modeling and analysis for each type of integrated and operational hybrid energy system. Looking at the fundamentals for conventional energy systems, decentralized generation systems, RES technologies and hybrid integration of RES power plants, the most important contribution this book makes is combining emerging energy systems that improve micro and smart grid systems and their components. Sections cover traditional system characteristics, features, challenges and benefits of hybrid energy systems over the conventional power grid, the deployment of emerging power electronic technologies, and up-to-date electronic devices and systems, including AC and DC waveforms. Conventional, emerging and hierarchical control methods and technologies applied in microgrid operations are covered to give researchers and practitioners the information needed to ensure reliability, resilience and flexibility of implemented hybrid energy systems.

Power Quality in Modern Power Systems presents an overview of power quality problems in electrical power systems, for identifying pitfalls and applying the fundamental concepts for tackling and maintaining the electrical power quality standards in power systems. It covers the recent trends and emerging topics of power quality in large scale renewable energy integration, electric vehicle charging stations, voltage control in active distribution network and solutions to integrate large scale renewable energy into the electric grid with several case studies and real-time examples for power quality assessments and mitigations measures. This book will be a practical guide for graduate and post graduate students of electrical engineering, engineering professionals, researchers and consultants working in the area of power quality.

Variable Generation, Flexible Demand looks at a future in which power system researchers, operators and analysts need to predict variable renewable generation and schedule demand to match it. Contributors survey the significant expansion in the role of flexible demand in balancing supply and demand in conjunction with flexible generation in 'peaking plants' and energy storage as the proportion of variable renewable generation rises in many systems across the world. Supported with case studies, the book examines practical ways that demand flexibility can play a constructive role as more systems move towards higher levels of renewable generation in their electricity mix.

Converter-Based Dynamics and Control of Modern Power Systems addresses the ongoing changes and challenges in rotating masses of synchronous generators, which are transforming dynamics of the electrical system. These changes make it more important to consider and understand the role of power electronic systems and their characteristics in shaping the subtleties of the grid and this book fills that knowledge gap. Balancing theory, discussion, diagrams, mathematics, and data, this reference provides the information needed to acquire a thorough overview of resilience issues and frequency definition and estimation in modern power systems. This book offers an overview of classical power system dynamics and identifies ways of establishing future challenges and how they can be considered at a global level to overcome potential problems. The book is designed to prepare future engineers for operating a system that will be driven by electronics and less by electromechanical systems.

Modelling, Assessment, and Optimization of Energy Systems provides comprehensive methodologies for the thermal modelling of energy systems based on thermodynamic, exergoeconomic and exergoenviromental approaches. It provides advanced analytical approaches, assessment criteria and the methodologies to obtain analytical expressions from the experimental data. The concept of single-objective and multi-objective optimization with application to energy systems is provided, along with decision-making tools for multi-objective problems, multi-criteria problems, for simplifying the optimization of large energy systems, and for exergoeconomic improvement integrated with a simulator EIS method. This book provides a comprehensive methodology for modeling, assessment, improvement of any energy system with guidance, and practical examples that provide detailed insights for energy engineering, mechanical engineering, chemical engineering and researchers in the field of analysis and optimization of energy systems.

Simulation of Software Tools for Electrical Systems: Theory and Practice offers engineers and students what they need to update their understanding of software tools for electric systems, along with guidance on a variety of tools on which to model electrical systems-from device level to system level. The book uses MATLAB, PSIM, Pspice and PSCAD to discuss how to build simulation models of electrical systems that assist in the practice or implementation of simulation software tools in switches, circuits, controllers, instruments and automation system design. In addition, the book covers power electronic switches and FACTS controller device simulation model building with the use of Labview and PLC for industrial automation, process control, monitoring and measurement in electrical systems and hybrid optimization software HOMER is presented for researchers in renewable energy systems.

Power Generation Technologies for Low-Temperature and Distributed Heat presents a systematic and detailed analysis of a wide range of power generation systems for low-temperature (lower than 700-800 DegreesC) and distributed heat recovery applications. Each technology presented is reviewed by a well-known specialist to provide the reader with an accurate, insightful and up-to-date understanding of the latest research and knowledge in the field. Technologies are introduced before the fundamental concepts and theoretical technical and economic aspects are discussed, as well as the practical performance expectations. Cutting-edge technical progress, key applications, markets, as well as emerging and future trends are also provided, presenting a multifaceted and complete view of the most suitable technologies. A chapter on various options for thermal and electrical energy storage is also included with practical examples, making this a valuable resource for engineers, researchers, policymakers and engineering students in the fields of thermal energy, distributed power generation systems and renewable and clean energy technology systems.

Power Electronics Converters and their Control for Renewable Energy Applications provides information that helps to solve common challenges with power electronics converters, including loss by switching, heating of power switches, management of switching time, improvement of the quality of the signals delivered by power converters, and improvement of the quality of energy produced by renewable energy sources. This book will be of interest to academics, researchers and engineers in renewable energy, power systems, electrical engineering, electronics and mechanical engineering.

Energy from Toxic Organic Waste for Heat and Power Generation presents a detailed analysis on using scientific methods to recover and reuse energy from Toxic waste. Dr. Barik and his team of expert authors recognize that there has been a growing rise in the quantum and diversity of toxic waste materials produced by human activity, and as such there is an increasing need to adopt new methods for the safe regeneration and minimization of waste produce around the world. It is predominately broken down into 5 sections: The first section provides and overview on the Toxic waste generation addressing the main components for the imbalance in ecosystem derived from human activity The second section sets out ways in which toxic waste can be managed through various methods such as chemical treatment, cracking and Electro-beam treatment The final 3 sections deliver an insight in to how energy can be extracted and recycled into power from waste energy and the challenges that these may offer This book is essential reference for engineering industry workers and students seeking to adopt new techniques for reducing toxic waste and in turn extracting energy from it whilst complying with pollution control standards from across the world.