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Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems
Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy life cycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants’ behavior and vehicle driving schedule with ...
Solar Energy: Advancements and Challenges
Energy is a key source of economic growth due to its involvement as the primary input. Energy drives economic productivity and industrial growth. It can be considered as the prime requirement for the modern economy. Solar energy is a renewable source of energy that can be used to produce heat or generate electricity. The total amount of solar energy available on Earth’s surface is vastly in excess of the world’s current and anticipated energy requirements. In the 21st century, solar energy is expected to become increasingly attractive as a renewable energy source. An increase in the share of solar energy may destabilize the grid. To overcome the issues of grid instability, specifically i...
Highly Efficient Thermal Renewable Energy Systems
The text comprehensively highlights the latest methodologies, models, techniques, and applications along with a description of modeling, optimization, and experimental works in the energy sector. It further explains key concepts such as finite element analysis tools, hybrid energy systems, mechanical components design, and optimization, solar coupled systems, and vertical heat exchanger. This book • Discusses the role and integration of solar, geothermal, and hydrogen‐based thermal energy storage (TES) technologies in different sectors for space heating and cooling applications. • Covers mechanical modeling and optimization of hybrid energy storage systems for performance improvement a...
Applications of Big Data and Artificial Intelligence in Smart Energy Systems
In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and contro...
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. A...
Utilization of Thermal Potential of Abandoned Wells
Utilization of Thermal Potential of Abandoned Wells: Fundamentals, Applications and Research is a lucid treatment of the fundamental concepts related to the energy harvesting of abandoned wells. The book provides a journey through recent technological developments to harvest energy from abandoned geothermal wells and allows the reader to view the process from a thermodynamic and numerical modeling perspective. Various applications and future prospects are also discussed to help inform reader’s future work and research. Students, researchers and engineers will gain a thorough understanding on how to harvest energy from abandoned geothermal wells, particularly to make sound thermodynamic and...
Eco-efficient Materials for Reducing Cooling Needs in Buildings and Construction
Eco-efficient Materials for Reducing Cooling Needs in Buildings and Construction: Design, Properties and Applications provides a comprehensive review on building envelope materials and technologies for reducing cooling needs in buildings. The book offers in-depth analysis of the performance of new innovative materials and technologies used in pavements, facade and roofing materials, PCMs and chromogenic smart materials. Includes practical case study examples of their applications in building and construction. The book is an essential reference resource for researchers, architects and civil engineers, city planners, product developers, manufacturers, and other professionals working in eco-efficient cooling materials and sustainable and zero-energy building design. Offers a comprehensive review of building envelope materials and technologies for reducing cooling needs Features practical case studies, which are fundamental for building design and applications Provides in-depth analysis of performance for different materials and technologies Features brand new chapters on pavements, facade and roofing materials, PCMs and chromogenic smart materials
Photovoltaic Systems
This book provides comprehensive insight into the fault detection techniques implemented for photovoltaic (PV) panels. It includes studies related to predictive maintenance needed to improve the performance of the solar PV systems using Artificial Intelligence (AI) techniques. The readers gain knowledge on the fault identification algorithm and the significance of all such algorithms in real-time power system applications. Gives detailed overview of fundamental concepts of fault diagnosis algorithm for solar PV system Explains AC and DC side of the solar PV system-based electricity generation with real-time examples Covers effective extraction of the energy from solar radiation Illustrates artificial intelligence techniques for detecting the faults occurring in the solar PV system Includes MATLAB® based simulations and results on fault diagnosis including case studies This book is aimed at researchers, professionals and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics.
Fashion, Identity, and Power in Modern Asia
This edited volume on radical dress reforms in East Asia takes a fresh look at the symbols and languages of modernity in dress and body. Dress reform movements around the turn of the twentieth century in the region have received little critical attention as a multicultural discourse of labor, body, gender identity, colonialism, and government authority. With contributions by leading experts of costume/textile history of China, Korea, and Japan, this book presents up-to-date scholarship using diverse methodologies in costume history, history of consumption, and international trade. Thematically organized into sections exploring the garments and uniforms, accessories, fabrics, and fashion styles of Asia, this edited volume offers case studies for students and scholars in an ever-expanding field of material culture including, but not limited to, economic history, visual culture, art history, history of journalism, and popular culture. Fashion, Identity, and Power in Modern Asia stimulates further research on the impact of modernity and imperialism in neglected areas such as military uniform, school uniform, women’s accessories, hairstyles, and textile trade.
