Energy Engineering

AI for Wind Turbine Performance and Condition Monitoring

Mon, 13 Apr 2026 08:42:26 GMT

Wind power is unanimously recognized as one of the major drivers of the energy transition. Increasing renewable power generation introduces significant challenges for both the operation and planning of power systems, driven by the intrinsic uncertainty of stochastic renewable resources and by the growing spatial distribution of generation assets. Wind power presents a distinctive set of challenges in this context.

Wind turbines are complex machines operating under highly non-stationary conditions and are composed of tightly coupled mechanical, electrical, and electronic subsystems. In order to ensure reliable power system operation and to minimize the levelized cost of energy, it is essential to continuously monitor the health status of wind turbines, and to improve the efficiency of wind energy conversion as much as possible. Artificial intelligence has the potential to help address these challenges.

The objective of this book is to address the gap between domain expertise in wind energy and the rapid proliferation of machine learning techniques. While advanced data-driven models offer unprecedented flexibility and predictive capabilities, their increasing complexity can come at the cost of transparency, physical interpretability, and engineering insight. Bridging this gap demands a critical understanding of the problem at hand, a clear definition of the operational objective, and a conscious selection of the most appropriate techniques compatible with the available data sources.

Offering concise but thorough coverage of the topic, AI for Wind Turbine Performance and Condition Monitoring explores data sources from turbines and fleets, reviews the fundamentals of ML, then covers AI-based wind turbine performance analysis, AI-based detection of static misalignment and sensor errors, and condition monitoring for wind turbine maintenance.

Wind power researchers in academia and industry, grid operators, and maintenance managers will find this book offers a valuable overview and analysis of AI-based methodologies for wind generators.

Thermal Energy Networks and Storage

Mon, 13 Apr 2026 08:40:26 GMT

Scientists and policymakers worldwide recognise that continuing to use fossil fuels (coal, oil and gas) to produce useful energy with the inevitable emissions of CO₂ and other greenhouse gasses is leading to changes in the world's climate with potentially catastrophic consequences. Both mitigation of the emissions of greenhouse gases as well as adaptation to the changing environment are urgently required to manage the worst effects of climate change.

Limiting greenhouse gas emissions from thermal energy is a key part of the solution, with its own set of challenges and opportunities. Widespread use of technologies for transporting and storing thermal energy is needed. District heating and cooling networks are well established in some countries but are now being adopted much more widely. Low carbon thermal energy can be sourced from heat pumps, combined heat and power plants using renewable fuels, and from waste heat, increasingly from IT facilities. Technologies exist at various power levels and timescales. Energy storage materials range from water and concrete to phase change materials.

Thermal Energy Networks and Storage discusses thermal energy networks and thermal energy storage as well as buildings that maintain comfortable temperatures with minimum energy requirements. Chapters systematically cover these topics, and then the necessary integration of thermal energy and electricity networks.

This book has been written with an audience of research and development professionals, providers of thermal energy network components as well as academic researchers in mind. It will also be a valuable reference for undergraduate and postgraduate students with an interest in thermal energy.

Condition Monitoring of Rotating Electrical Machines, 4th Edition

Fri, 06 Mar 2026 17:33:21 GMT

Rotating electrical machines are embedded in nearly every sector of modern industry; they are widely used in industrial settings, as motors in transportation applications - including electric vehicles - and in power generation, where they are a key component of wind turbines.

Technical advances are transforming what these machines can achieve. New developments in rotating electrical machinery have arisen from novel or improved materials, including new insulation materials, as well as advances in electrical steels and high-performance permanent magnets, and more rapid mass production techniques. These improvements deliver benefits such as cheaper and faster manufacturing and enhanced performance from the final products. At the same time, condition monitoring and maintenance techniques are also changing rapidly through increased application and further research and development, and are becoming essential to ensuring reliability, availability and cost-effectiveness for electrical machine systems, from small industrial drives to multi-megawatt generators.

Condition Monitoring of Rotating Electrical Machines has established itself as a definitive reference for researchers and engineers in the energy, transport, process engineering and manufacturing industries and in related academic research. Coverage includes fundamental principles of condition monitoring, plus in-depth discussion of reliability, signal processing, online temperature, chemical and vibration monitoring, current, flux and power monitoring, partial discharge detection, drive monitoring, off-line monitoring, condition-based maintenance, use of AI and machine learning, and safety and training.

This 4th Edition has been expanded, revised and updated throughout, and features new chapters, addressing novel machine designs, new materials, clean energy and transport, the use of AI, and strategies for reliability, availability and maintenance.

Communication, Control and Security Challenges for the Smart Grid, 2nd Edition

Wed, 11 Feb 2026 15:07:41 GMT

Smart grids are electrical grids using ICT and two-way communications to enable varying two-way flows of electricity and information for the integration of distributed renewable generation and power storage. Research and development in this field centres on three main areas; the infrastructure system, the management system, and the protection. The integration of advanced communication, sensing, control, and optimization techniques into traditional power systems is a key challenge in transforming conventional grids into smart grids, and so empowering consumers with real-time information and control over their power usage and production.

This second edition of a well-established book strengthens the interdisciplinary approach of the original, combining technical depth with practical relevance, and offering updated information on recent developments. Content has been added on AI, machine learning, advanced power electronics, and the energy internet, highlighting their potential to revolutionize the power sector.

Volume 1 covers smart grid architecture and communications, sensing devices, WAM, bad data detection, energy management and smart distribution, role of energy storage, and integration of plug-in electric vehicles.

Volume 2 conveys multi-agent-based control, compressive sensing, stability enhancement, security analysis and related policies and regulations, controlled islanding, machine learning for solar power prediction, use of blockchain technology in smart grids, and peer-to-peer and peer-to-grid (P2G) energy trading.

These volumes are intended as references for researchers in academia and industry who are involved with power grids, related power electronics and distributed renewable generation. Policy makers, grid operators, and advanced students in electrical and energy engineering, will also find useful and relevant content here.

Communication, Control and Security Challenges for the Smart Grid, 2nd Edition

Wed, 11 Feb 2026 15:09:57 GMT

SiC Power Devices and Applications

Tue, 12 Jun 2018 00:06:37 GMT

Semiconductor power switches are essential to the operation of power electronic converters and systems. Traditional silicon-based semiconductor power switches have intrinsic physical limits to their performance. Wide Bandgap (WBG) devices deliver higher efficiency, smaller size, and/or lighter weight. Applications in power grid electronics as well as in electromobility are on the rise, but WBG devices also pose new challenges, in particular due to their fast switching speed and the need for protection.

SiC Power Devices and Applications covers the progress made in the area of WBG technologies, with a particular focus on silicon carbide, and a strong emphasis on their applications. Following an introduction to the topic, chapters cover fabrication and packaging, applications in data centres and telecom, motors and generators, transport and drives, avionics, power grids and HVDC, PV and energy storage, and in wind turbine converters. The book systematically and thoroughly addresses the important aspects of real-life applications of WBG devices.

The book is important reading for researchers and engineers in academia and industry, especially those involved in R&D of state-of-the-art power electronics, as well as advanced students in power electronics and semiconductor science.

Understanding and Managing Power Quality Issues

Fri, 19 Dec 2025 09:02:48 GMT

The increasing complexity of today's power systems, and the growing numbers of power electronic devices that are being introduced, adds to the risk of power quality problems caused by harmonics. Non-linear loads into power systems, non-sinusoidal and distorted current waveforms, and voltage distortion have become more common, and these phenomena can lead to power losses and damage to equipment.

Understanding and Managing Power Quality Issues is a reference for researchers involved with power systems, professionals in power equipment industry and at grid operators, as well as for advanced students, transmission network and grid operators. The authors use mathematical analysis to describe the mechanisms of various power quality issues. Harmonics in the power system are a major focus, and coverage also encompasses power quality of power supply systems, reliability indices, sinusoidal and non-sinusoidal conditions, techniques for control of voltage variation, reactive power, active power quality management, and current trends.

AI-Based Forecasting of Solar Photovoltaics Power Generation

Mon, 13 Oct 2025 08:05:28 GMT

The widespread deployment of photovoltaics (PV) technology has emerged as a key element in the global shift toward a carbon-neutral and sustainable energy system. Driven by a combination of supportive regulatory frameworks, government incentive programs, technical developments, and increasing environmental awareness, the adoption of PV technologies has witnessed remarkable growth in recent years. However, the rapid integration of distributed PV systems into existing electricity grid infrastructure introduces new challenges, particularly concerning voltage regulation, reverse power flow, and congestion within the electricity grid. These issues are intensified when PV systems are integrated without proper strategy. In this context, solar PV power forecasting has become an essential tool for ensuring the reliable and efficient integration of solar PV systems into power systems. Artificial intelligence (AI) and machine learning (ML) offer means to forecast PV power and energy generation based on historical data of PV generation, meteorological data, and/or weather forecasts.

AI-Based Forecasting of Solar Photovoltaics Power Generation blends theoretical knowledge with practical case studies, serving as a comprehensive and timely contribution to the rapidly evolving field of solar PV forecasting. It covers topics such as data collection and processing, solar forecasting based on statistical time-series, machine and deep learning, hybrid and probabilistic approaches, model optimization, hyperparameter tuning, and solar PV forecasting for energy system integration and control.

As solar PV systems become increasingly integrated into energy systems, a dedicated book on PV generation forecasting is incredibly useful, making this book an important resource for energy system operators, policymakers, researchers, and students seeking to improve the reliability, resiliency, and efficiency of solar PV systems and the broader systems into which they are integrated.

Hybrid Energy Systems

Mon, 13 Oct 2025 08:04:11 GMT

Hybrid energy systems are essential for combining different clean generation technologies into a clean and stable power system, incorporating solar, wind and hydropower, as well as energy storage solutions.

This book is written by a group of experts from Asia and Europe, bringing together expertise in handling power distribution for regions with high population density, where demand for electricity is high and continues to rise. Hybrid energy systems are explored in the context of this high-demand environment.

Chapters cover stability analysis, various combinations of generators such as wind and solar, and solar-wind-biomass, harmonizing PV and wind, energy storage, operation and planning, distributed optimization, reactive power management, energy management in smart mesh networks, hybrid renewable energy integration in smart grids, and microgrids, transaction strategies in energy markets, smart transmission, optimization algorithms for maximum power point tracking (MPPT) of PV under shading, and distribution networks with shunt capacitors and on-site generation. Case studies reinforce the lessons learned.

Hybrid Energy Systems: Planning, operation and optimization is written by and for researchers and practitioners involved with energy systems, and will also be of interest to grid and utility operators and policy makers in the energy engineering field.

Bifacial Photovoltaics, 2nd Edition

Mon, 13 Oct 2025 08:01:56 GMT

Bifacial photovoltaic technology has completed its transition from an emerging innovation to a mainstream solution within the solar industry. Bifacial modules are no longer regarded as a niche product and are now widely deployed, representing the predominant choice in most utility scale, commercial and many other solar projects. The change is being driven by the ability of bifacial PV systems to significantly increase energy yield and reduce levelized cost of energy (LCOE). Double-glass bifacial modules, in particular, offer durability, long-term stability, and enhanced performance in diverse environmental conditions.

This second edition of Bifacial Photovoltaics: Technology and systems reflects the current state of bifacial PV technology and its future direction. The new edition has been substantially updated and revised, while retaining the structure of the original, offering systematic coverage from cells through to modules, systems, applications, impact on levelized costs, and the effects of environmental conditions. The editors and contributors have taken care to ensure that the content is comprehensive enough for newcomers to understand the topics without needing to refer to the first edition. They have aimed to cover all essential elements in this key technology that supports progress towards a clean, sustainable, decentral and independent energy supply.

Attention is given to the developments in technology, manufacturing processes, standardized testing and performance outcomes that have led to bifacial photovoltaics becoming an established solution in utility-scale solar deployment. For example, advancements in cell architectures—such as PERC, TOPCon, HJT and BC tech - have further enhanced bifacial efficiency and power output. Larger wafer sizes and improved manufacturing processes continue to drive down costs, making bifacial modules an economically attractive choice worldwide. The development of standardized testing, performance measurement, and quality assurance practices has helped instil confidence among investors and project developers.

Bifacial Photovoltaics, 2nd Edition: Technology and systems offers insightful and thorough coverage of this increasingly important topic for researchers in academia and industry involved in solar cell and solar cell module development. It is also a valuable resource for grid operators, policy makers, and anyone in the energy engineering field.

Distributed Small Wind Turbines

Fri, 12 Sep 2025 14:40:55 GMT

Small wind turbines can contribute substantially to both a low-carbon energy system, as well as to the autarky and resilience of rural or remote communities and facilities. They can be deployed on building roofs as well as on the ground, and are a useful complement to photovoltaic systems, because they can generate power overnight or in cloudy weather. A range of technologies and designs are available, and suitability depends on the situation, so systematic modelling combined with collection of experience are necessary in making successful, efficient and cost-effective selection decisions.

This book is intended for researchers from academia and industry involved with small wind turbines, for small wind turbine manufacturers, as well as for wind power experts and power grid operators. Edited by two renowned wind power experts and written by an international author team, chapters cover standard development, aeroelastic modelling, tail fin dynamics, small blade manufacturing, from sustainable materials, small ducted wind turbines, low tip speed ratio design, high latitude and arid area applications, distributed wind systems, small wind turbines in microgrids, as well as planning and siting, and including case studies describing the manufacture and installation of small wind turbines.

Surveillance and Diagnostics of Next Generation Nuclear Reactors

Thu, 21 Aug 2025 08:11:08 GMT

Next generation nuclear reactors are expected to contribute to the future energy mix, forming part of the transition to an emission-free energy system. Diagnostics and monitoring are a necessary part of the design, development and operation of the new generation of nuclear power plants.

Reactor diagnostics, particularly methods based on neutron noise analysis, have been used for traditional light and heavy water reactors, and offer benefits for early detection, identification and quantification of incipient failures. Diagnostic techniques will be useful for the next generation of power plants, including small, medium and small modular reactors (SMR), which use alternative coolant types.

To expedite the planning of effective diagnostics, one needs knowledge of what problems might occur, and what methods are suitable for detecting and quantifying those problems. This book conveys a thorough study of the dynamic transfer properties of the main Gen-IV and SMR types; it also serves as a handbook for two-group power reactor noise theory for both traditional and fast systems.

Chapters cover principles of reactor diagnostics and noise analysis for both thermal and fast systems, the structure of the core response in basic planned Gen-IV types and SMRs to some basic perturbations, a survey of dynamic core transfer calculational codes, zero power noise methods, instrumentation and control systems, and worldwide activities in design and planned diagnostics of SMRs.

Surveillance and Diagnostics of Next Generation Nuclear Reactors is a concise and logically-structured reference for nuclear scientists, researchers and engineers involved in exploring new reactor concepts and developing designs for the coming generation of nuclear power plants.

Structural Control and Fault Detection of Wind Turbine Systems, 2nd Edition

Thu, 15 May 2025 14:55:02 GMT

With the rapid growth of wind energy worldwide, and the increasing size of wind turbine systems, addressing challenges in their operation and control is becoming increasingly important. These challenges affect all components of wind turbine systems, and require an integrated approach to optimize safety, cost, structural integrity and system survivability, while maintaining the desired performance quality.

This book has established itself as a reliable reference for researchers and engineers in mechatronics and control, specifically for wind power, as well as for manufacturers of wind farm equipment and turbine systems. It conveys theoretical and practical techniques that are instrumental for the control of wind turbine systems, such as load analysis, control concepts, health diagnosis and monitoring, and fuzzy fault tolerant control.

The new edition features revised as well as all-new chapters covering recent advances in the field, on both small turbines and large systems. Topics include numerical and experimental tools for turbine load analysis, health monitoring, control, transformer models, power prediction, robust fuzzy fault tolerant control, and use of digital twins.

AI and Digitalization in Energy Management

Thu, 15 May 2025 14:53:57 GMT

Energy management involves the planning and operation of energy production, consumption, distribution and storage, with objectives including resource conservation, climate protection and cost savings. Growth in renewable energy - essential for the transition to a decarbonised energy system - adds the challenge of intermittency, making energy management all the more important.

This book explores the role of digitalization and the growing interest in using AI for energy management. Edited by a team of senior scientists, with ample project and industry experience, the book systematically covers methods, applications including forecasting and maintenance, and economic aspects.

The chapters cover solar and meteorological data collection and simulation, digital twins and data wrangling, ML, game theory and AI for energy management, edge to cloud, federated learning and quantum computing for energy management, intra-hour solar forecasting, use of synchrophasor technology, AI-powered energy conversion and resilience, explainable AI, electric mobility integration, optimization for EV adoption, predictive PV maintenance, AI and robotics for PV inspection, and blockchain-based microgrids.

AI and Digitalization in Energy Management will prove a useful resource for researchers in universities, research institutes and in industry involved with clean energy and AI systems, grid operators, as well as energy policy makers and advanced students in energy engineering.

Vehicle-to-Grid Technology in Power Distribution Systems

Fri, 11 Apr 2025 13:44:11 GMT

Electric vehicles offer more than just transportation; they hold the key to a more resilient energy grid. Vehicle-to-Grid (V2G) technology makes this possible, but significant technical, economic, social, and legal challenges stand in the way. This requires advancements in grid planning and operation, power electronics and control, communication, and charging infrastructure. The race is on to maximize the benefits of V2G while minimizing the risks.

Vehicle-to-Grid Technology in Power Distribution Systems is written for researchers and experts interested in EV-grid integration, solution providers for EV charging and power grid operation and planning, as well as experts in intelligent transport systems and policymakers. It investigates the lessons learned about the connection between V2G infrastructure and the distribution grid. After an introduction to V2G, chapters cover the adoption of EV and V2G in existing grids, EVs for demand side management, transactive EV management with V2G, bi-directional charging technologies, market landscapes in Europe, microgrid-based V2G-enabled charging stations, and emerging EV charging technologies and V2G applications, as well as legislative and regulatory effects.

Clean Energy in South-East Asia

Fri, 14 Mar 2025 09:27:03 GMT

Southeast Asia is witnessing a significant increase in energy demand due to industrialization and rapid economic growth. To prevent the escalation of carbon emissions, researchers, energy experts, and policymakers in the region are keenly aware that clean energy must become an integral part of economic expansion. With the immense potential for renewable energy, Southeast Asia has an opportunity to make a breakthrough in sustainable development for the future.

This book is compiled by interdisciplinary experts from both industrial and academic fields, providing a systems approach to clean energy deployment in Vietnam and Southeast Asia. It serves as a vital reference for researchers in energy systems, solar (PV), wind power, as well as investors, policymakers, and businesses in renewable energy equipment manufacturing.

The book focuses on the core content of the clean energy sector, providing a comprehensive view of sustainable development solutions. It first delves into wind power, solar power, and smart clean energy systems, including smart grids and microgrids, to optimize the use of renewable energy sources. Additionally, advanced electricity storage and transmission technologies, especially high-voltage direct current (HVDC) transmission, are introduced to enhance the efficiency of power systems.

A key highlight of the book is the application of artificial intelligence (AI) in power systems, including accurate load forecasting, inertia constant prediction, and data analysis to improve grid stability. Furthermore, it explores optimization methods for system operations, such as harmonic analysis and equipment loss calculations using specialized software, to effectively select protection equipment for electrical systems.

Beyond technology, the book also addresses the application of IoT in sustainable energy development and analyses the impact of policies and market mechanisms on the energy sector, helping to guide strategies for policymakers and businesses. Finally, the book presents a circular economy model for managing waste from solar panels and assesses the impact of clean energy on developing countries, aiming for a greener future.

With a comprehensive approach, this book is not only a research resource but also an essential guide for those who wish to engage in the sustainable energy revolution in Southeast Asia.

Energy Management Systems for Microgrids with Wind, PV and Battery Storage

Tue, 21 Jan 2025 10:16:19 GMT

Growing shares of intermittent clean generation as well as variable loads lead to challenges for distribution systems at all levels. Energy management systems (EMS) are systems of computer-aided tools used by operators of electric utility grids to monitor, control, and optimize the performance of the generation, distribution or transmission system. EMS help to ensure grid stability and power quality, and can also be used in smaller scale systems such as microgrids.

Energy Management Systems for Microgrids with Wind, PV and Battery Storage gives a broad overview of EMS technologies for researchers, designers, operators at electric utilities involved with managing power systems, as well as advanced energy engineering students working on power systems.

Chapters cover AC network performance with flexible alternating current transmission system (FACTS) devices, metaheuristic optimization and hidden neuron count effect on microgrid management. Ensuing chapters will focus on microgrids with storage, with control of microgrids with renewables and storage, while several chapters look at wind energy in smart grids, battery charge in wind turbines, field-programmable gate array for wind turbines, fuzzy logic for wind energy, and classical Boolean methods for hybrid systems with wind, PV and batteries. Later chapters convey model predictive control and particle swarm optimization, and integration of and energy management for EV with support vector regression.

Power Systems and Smart Grids

Tue, 21 Jan 2025 10:14:04 GMT

Power systems need to be optimised for efficient use of resources and in order to meet stringent requirements for power quality and reliability. Algorithms exist and are in development for various tasks including sizing, voltage and frequency control, demand response, fault identification, and for specific situations and systems such as hybrid energy systems and hot climates. Especially in urban areas with high population densities, researchers and experts need to be abreast of R&D trends, both for energy systems for communities as well as for smart grid developments.

This work on power systems for residential areas is presented in two volumes. Volume 1: Sizing and optimization of energy systems for communities begins with an overview of power systems and smart grids optimizations for sustainable cities, then goes on to explore optimization algorithms for sizing, economic dispatch, assessment of configuration of renewable energy systems, optimization and sizing of hybrid systems and 100% green hybrid energy systems.

Volume 2: Control, management and power quality of smart grids begins with a review of optimization algorithms. Further chapters cover smart grid concepts and dispatch strategies, energy allocation, power quality indices, load frequency control in smart grids, optimization for fault identification and protection, communication systems, and community energy cells.

These volumes offer a valuable resource for researchers, policymakers, and industry professionals involved with designing and refitting electric power systems, and for anyone seeking to advance the field of power systems and smart grid technology. By providing a comprehensive overview, highlighting key challenges and opportunities, and suggesting future research directions, the book contributes to the ongoing efforts to build a sustainable and resilient energy future.

Power Systems and Smart Grids

Tue, 21 Jan 2025 10:15:09 GMT

Simulation and Analysis of Circuits for Power Electronics

Tue, 21 Jan 2025 10:12:18 GMT

Power electronics play a vital role in many spheres, including integrating renewable energy, ensuring the reliability of complex power distribution systems, and in increasing efficiency of electric vehicles and industrial machines. Simulation of power electronic circuitry is thus a key and cost-effective means to detect and avoid problems during development of circuitry in power generation, distribution and use. This is true for both novel and established circuit designs.

Simulation and Analysis of Circuits for Power Electronics gives particular consideration to power electronics consisting of piece-wise circuits, focusing especially on LTspice circuit simulation and performance analysis. The book integrates the free-version LTspice for drawing schematics and simulating to generate waveforms of the output voltage and currents, mathematical derivations of the circuits, and the Mathcad software tool for computation of the mathematical derivations to determine the performance parameters.

Starting with fundamentals, chapters cover switched RLC circuits, diode rectifiers, DC-DC and DC-AC converters; thereafter, treatment focuses on resonant pulse inverters, rectifiers, AC voltage controllers, and protection of semiconductor devices. Readers become enabled to apply simulation to novel circuitry as part of their research activities. Each chapter follows a unified structure in presenting the circuit, modelling approach, numerical examples, and use of data and results.

Presenting fundamentals and strategies for circuitry simulation for power electronics, this book offers structured information from principles through to applications, so is a useful guide for students, researchers and anyone wishing to refresh their knowledge of this field. It will also be useful for working engineers with some background in electric circuits and differential equations.