IoT and Analytics in Renewable Energy Systems (Volume 1)

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Author :
Publisher : CRC Press
ISBN 13 : 1000909794
Total Pages : 471 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems (Volume 1) by : O.V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems (Volume 1) written by O.V. Gnana Swathika and published by CRC Press. This book was released on 2023-08-11 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems

Iot Analytics and Renewable Energy Systems, Volume 1 and 2

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Author :
Publisher : CRC Press
ISBN 13 : 9781032536132
Total Pages : 0 pages
Book Rating : 4.5/5 (361 download)

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Book Synopsis Iot Analytics and Renewable Energy Systems, Volume 1 and 2 by : O. V. Gnana Swathika

Download or read book Iot Analytics and Renewable Energy Systems, Volume 1 and 2 written by O. V. Gnana Swathika and published by CRC Press. This book was released on 2023-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: V1: Smart grid techniques support the extensive inclusion of clean renewable generation in power system and energy saving. V2: Smart grids phenomenally contribute to facilitate cities reach those sustainability goals over time. Together, both the volumes provide a complete picture of IoT Analytics and Renewable Energy Systems.

IoT and Analytics in Renewable Energy Systems (Volume 1)

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Author :
Publisher : CRC Press
ISBN 13 : 1000909778
Total Pages : 335 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems (Volume 1) by : O.V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems (Volume 1) written by O.V. Gnana Swathika and published by CRC Press. This book was released on 2023-08-11 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems

IoT and Analytics in Renewable Energy Systems (Volume 2)

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Author :
Publisher : CRC Press
ISBN 13 : 1000911063
Total Pages : 481 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems (Volume 2) by : O.V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems (Volume 2) written by O.V. Gnana Swathika and published by CRC Press. This book was released on 2023-08-11 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications

IoT and Analytics in Renewable Energy Systems (Volume 2)

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Author :
Publisher : CRC Press
ISBN 13 : 1000911020
Total Pages : 345 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems (Volume 2) by : O.V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems (Volume 2) written by O.V. Gnana Swathika and published by CRC Press. This book was released on 2023-08-11 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications

IOT and Analytics in Renewable Energy Systems

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Author :
Publisher :
ISBN 13 : 9781003374121
Total Pages : 0 pages
Book Rating : 4.3/5 (741 download)

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Book Synopsis IOT and Analytics in Renewable Energy Systems by : O. V. Gnana Swathika

Download or read book IOT and Analytics in Renewable Energy Systems written by O. V. Gnana Swathika and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Fivesalient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications

AI and IOT in Renewable Energy

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Author :
Publisher : Springer Nature
ISBN 13 : 9811610118
Total Pages : 109 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis AI and IOT in Renewable Energy by : Rabindra Nath Shaw

Download or read book AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Springer Nature. This book was released on 2021-05-12 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

Applications of AI and IOT in Renewable Energy

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Author :
Publisher : Academic Press
ISBN 13 : 0323984010
Total Pages : 248 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Applications of AI and IOT in Renewable Energy by : Rabindra Nath Shaw

Download or read book Applications of AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Academic Press. This book was released on 2022-02-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data

IoT and Analytics in Renewable Energy Systems: Sustainable smart grids & renewable energy systems

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Author :
Publisher :
ISBN 13 : 9781003331117
Total Pages : 0 pages
Book Rating : 4.3/5 (311 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems: Sustainable smart grids & renewable energy systems by : O. V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems: Sustainable smart grids & renewable energy systems written by O. V. Gnana Swathika and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Smart Grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power system. Smart grid also promotes energy saving in power system. Cyber security objectives for the Smart Grid focusses on Availability, integrity, and confidentiality. 5 Salient Features: 1. AI and IoT in improving resilience of Smart Energy infrastructure 2. IoT, Smart Grids & Renewable Energy: An Economic Approach 3. AI and ML towards Sustainable solar energy 4. Electrical Vehicles & Smart Grid 5. Intelligent Condition Monitoring for Solar and Wind Energy Systems"--

Artificial Intelligence and Internet of Things for Renewable Energy Systems

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Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110714043
Total Pages : 318 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Artificial Intelligence and Internet of Things for Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Artificial Intelligence and Internet of Things for Renewable Energy Systems written by Neeraj Priyadarshi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

AI-Powered IoT in the Energy Industry

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Author :
Publisher : Springer Nature
ISBN 13 : 3031150449
Total Pages : 318 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis AI-Powered IoT in the Energy Industry by : S. Vijayalakshmi

Download or read book AI-Powered IoT in the Energy Industry written by S. Vijayalakshmi and published by Springer Nature. This book was released on 2023-04-05 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. ​Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.

Intelligent Data Analytics for Power and Energy Systems

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Publisher : Springer Nature
ISBN 13 : 9811660816
Total Pages : 649 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Data Analytics for Power and Energy Systems by : Hasmat Malik

Download or read book Intelligent Data Analytics for Power and Energy Systems written by Hasmat Malik and published by Springer Nature. This book was released on 2022-02-17 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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Publisher : CRC Press
ISBN 13 : 1000963829
Total Pages : 318 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applications of Big Data and Artificial Intelligence in Smart Energy Systems by : Neelu Nagpal

Download or read book Applications of Big Data and Artificial Intelligence in Smart Energy Systems written by Neelu Nagpal and published by CRC Press. This book was released on 2023-09-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, domestic loads, and 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 & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.

IoT Enabled Multi-Energy Systems

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Publisher : Elsevier
ISBN 13 : 0323957803
Total Pages : 191 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis IoT Enabled Multi-Energy Systems by : Mohammadreza Daneshvar

Download or read book IoT Enabled Multi-Energy Systems written by Mohammadreza Daneshvar and published by Elsevier. This book was released on 2023-02-20 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. Reviews core applications of IoT technologies in grid modernization of multi-energy networks Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources

IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities

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Author :
Publisher : Springer
ISBN 13 : 9783031606281
Total Pages : 0 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities by : Mustapha Hatti

Download or read book IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities written by Mustapha Hatti and published by Springer. This book was released on 2024-07-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.

Big Data Analytics in Future Power Systems

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Publisher : CRC Press
ISBN 13 : 1351601288
Total Pages : 243 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Big Data Analytics in Future Power Systems by : Ahmed F. Zobaa

Download or read book Big Data Analytics in Future Power Systems written by Ahmed F. Zobaa and published by CRC Press. This book was released on 2018-08-14 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids. Provide a general description and definition of big data, which has been gaining significant attention in the research community. Introduces a comprehensive overview of big data optimization methods in power system. Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks. Presents applications in power systems, such as power flow and protection. Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.

Integrated Green Energy Solutions, Volume 1

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Publisher : John Wiley & Sons
ISBN 13 : 1119847435
Total Pages : 404 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Integrated Green Energy Solutions, Volume 1 by : Milind Shrinivas Dangate

Download or read book Integrated Green Energy Solutions, Volume 1 written by Milind Shrinivas Dangate and published by John Wiley & Sons. This book was released on 2023-06-20 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTEGRATED GREEN ENERGY SOLUTIONS This first volume in a two-volume set presents the state of the art for the concepts, practical applications, and future of renewable energy and how to move closer to true sustainability. Renewable energy supplies are of ever-increasing environmental and economic importance in every country worldwide. A wide range of renewable energy technologies has been established commercially and recognized as an important set of growth industries for most governments. World agencies, including the United Nations, have extensive programs to encourage these emerging technologies. This book will bridge the gap between descriptive reviews and specialized engineering technologies. It centers on demonstrating how fundamental physical processes govern renewable energy resources and their applications. Although the applications are updated continually, the fundamental principles remain the same, and this book will provide a useful platform for those advancing the subject and its industries. Integrated Resilient Energy Solutions is a two-volume set covering subjects of proven technical and economic importance worldwide. Energy supply from renewables is an essential component of every nation’s strategy, especially when there is responsibility for the environment and sustainability. These two volumes will consider the timeless renewable energy technologies’ principles yet demonstrate modern applications and case studies. Whether for the veteran engineer, student, or other professional, these two volumes are a must-have for any library.