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    Enabling Methodologies for Renewable and Sustainable Energy

Enabling Methodologies for Renewable and Sustainable Energy

Enabling Methodologies for Renewable and Sustainable Energy
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      This book aims to provide practical aspects of, and an introduction to, the applications of various technological advancement tools, such as AI, machine learning to design, big data, cloud computing, and IoT, to model, characterize, optimize, forecast, and do performance prediction of renewable energy exploitation. It further discusses new avenues for energy sources such as hydrogen energy generation and energy storage technologies including existing policies and case studies for a better understanding of renewable energy generation.Features:Covers technologies considered to explore, predict, and perform operation and maintenance of renewable energy sourcesAids in the design and use of renewable energy sources, including the application of artificial intelligence in a real-time environmentIncludes IoT, cloud computing, big data, smart grid, and different optimization techniques for resource forecasting, installation, operation, and optimization of energyDiscusses the principle of integration/hybridization of renewable energy sources along with their optimization based on energy requirementsReviews the concepts and challenges involved in the implementation of smart gridsThis book is aimed at researchers and graduate students in renewable energy engineering, computer and mechanical engineering, novel technologies, and intelligent systems.
      Format: CONTRIBUTORS: Enabling Methodologies for Renewable and Sustainable Energy EAN: 9781032224787 COUNTRY: United Kingdom PAGES: 232 WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-10-07 CITY: GENRE: SCIENCE / Energy, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable WIDTH: 156 cm SPINE:

      Book Themes:

      Energy, Electrical engineering, Alternative and renewable energy sources and technology, Automatic control engineering, Environmental science, engineering and technology

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      Gaurav Saini is presently working as the Professor (Assistant) in the Department of Mechanical Engineering, Harcourt Butler Technical University Kanpur, Uttar Pradesh. He has Post-Doctoral Fellow experience with the Department of Sustainable Energy Engineering, Indian Institute of Technology Kanpur. Prior to joining IIT Kanpur, he was serving as the Professor (Assistant) in the School of Advanced Materials, Green Energy and Sensor Systems, Indian Institute of Engineering Science and Technology (IIEST) Shibpur, India. He received his Ph.D. in Turbomachines (Hydrokinetic Turbines) in the year 2020 and M. Tech (Fluid Machinery and Energy Systems) in the year 2014 from the Indian Institute of Technology Roorkee, Uttarakhand, India. After his Ph.D. from IIT Roorkee, he was working as project fellow in the department of hydro and renewable energy, Indian Institute of Technology Roorkee. His research areas include renewable energy (hydrokinetic energy, wind power, and biomass), Computational Fluid Dynamics (CFD) and fluid mechanics and turbomachines; fluid power. He has published several research publications on renewable energy technologies in different international journals of repute. He has also presented his research at different international and national platforms and he received accolades from various peers working in the same area across the globe. He is skilled in computational fluid dynamics (CFD) – numerical modelling and roto-dynamics analysis, multiphase flow analysis, modeling of various renewable energy resources viz. wind, marine, solar and hydrokinetic energy for rural applications, wind and hydrokinetic – technology selection and design, installation strategies, performance evaluation and O&M issues.Ramani Kannan is a Senior Lecturer in Universiti Teknologi PETRONAS, Malaysia. He received his BEng degree from Bharathiar University, India. Later, he completed his MEng and PhD in Power Electronics and Drives in Anna University. He holds more than 125 publications in reputed international and national journals and conferences; also, he has published six books. He has completed five funded projects and has seven research projects in progress. The grants are FRGS, ASEAN-India, YUTP, KETTHA, and STIRF. He is a chartered engineer (CEng, the UK), active senior member of IEEE (the USA), and member of IE (I), IET (the UK), ISTE (I), and Institute of Advanced Engineering and Science (IAENS). Dr. Ramani is recognized with many awards, including "Career Award for Young Teacher" from AICTE India, 2012; "Young Scientist Award" in power electronics and drives, 2015; "Highest Research Publication Award" 2017; Award for Outstanding Performance, Service and Dedication 2019 at UTP, Malaysia; "Outstanding Researcher Award" at UTP, Q Day 2019; and Best Presenter Award, IEEE CENCON 2019 international conference at Indonesia. He actively serves as Secretary, IEEE Power Electronics Society, Malaysia, since 2020. He is the Editor-in-Chief of the Journal of Asi
      This book aims to provide practical aspects of, and an introduction to, the applications of various technological advancement tools, such as AI, machine learning to design, big data, cloud computing, and IoT, to model, characterize, optimize, forecast, and do performance prediction of renewable energy exploitation. It further discusses new avenues for energy sources such as hydrogen energy generation and energy storage technologies including existing policies and case studies for a better understanding of renewable energy generation.Features:Covers technologies considered to explore, predict, and perform operation and maintenance of renewable energy sourcesAids in the design and use of renewable energy sources, including the application of artificial intelligence in a real-time environmentIncludes IoT, cloud computing, big data, smart grid, and different optimization techniques for resource forecasting, installation, operation, and optimization of energyDiscusses the principle of integration/hybridization of renewable energy sources along with their optimization based on energy requirementsReviews the concepts and challenges involved in the implementation of smart gridsThis book is aimed at researchers and graduate students in renewable energy engineering, computer and mechanical engineering, novel technologies, and intelligent systems.
      Format: CONTRIBUTORS: Enabling Methodologies for Renewable and Sustainable Energy EAN: 9781032224787 COUNTRY: United Kingdom PAGES: 232 WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-10-07 CITY: GENRE: SCIENCE / Energy, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable WIDTH: 156 cm SPINE:

      Book Themes:

      Energy, Electrical engineering, Alternative and renewable energy sources and technology, Automatic control engineering, Environmental science, engineering and technology

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      Gaurav Saini is presently working as the Professor (Assistant) in the Department of Mechanical Engineering, Harcourt Butler Technical University Kanpur, Uttar Pradesh. He has Post-Doctoral Fellow experience with the Department of Sustainable Energy Engineering, Indian Institute of Technology Kanpur. Prior to joining IIT Kanpur, he was serving as the Professor (Assistant) in the School of Advanced Materials, Green Energy and Sensor Systems, Indian Institute of Engineering Science and Technology (IIEST) Shibpur, India. He received his Ph.D. in Turbomachines (Hydrokinetic Turbines) in the year 2020 and M. Tech (Fluid Machinery and Energy Systems) in the year 2014 from the Indian Institute of Technology Roorkee, Uttarakhand, India. After his Ph.D. from IIT Roorkee, he was working as project fellow in the department of hydro and renewable energy, Indian Institute of Technology Roorkee. His research areas include renewable energy (hydrokinetic energy, wind power, and biomass), Computational Fluid Dynamics (CFD) and fluid mechanics and turbomachines; fluid power. He has published several research publications on renewable energy technologies in different international journals of repute. He has also presented his research at different international and national platforms and he received accolades from various peers working in the same area across the globe. He is skilled in computational fluid dynamics (CFD) – numerical modelling and roto-dynamics analysis, multiphase flow analysis, modeling of various renewable energy resources viz. wind, marine, solar and hydrokinetic energy for rural applications, wind and hydrokinetic – technology selection and design, installation strategies, performance evaluation and O&M issues.Ramani Kannan is a Senior Lecturer in Universiti Teknologi PETRONAS, Malaysia. He received his BEng degree from Bharathiar University, India. Later, he completed his MEng and PhD in Power Electronics and Drives in Anna University. He holds more than 125 publications in reputed international and national journals and conferences; also, he has published six books. He has completed five funded projects and has seven research projects in progress. The grants are FRGS, ASEAN-India, YUTP, KETTHA, and STIRF. He is a chartered engineer (CEng, the UK), active senior member of IEEE (the USA), and member of IE (I), IET (the UK), ISTE (I), and Institute of Advanced Engineering and Science (IAENS). Dr. Ramani is recognized with many awards, including "Career Award for Young Teacher" from AICTE India, 2012; "Young Scientist Award" in power electronics and drives, 2015; "Highest Research Publication Award" 2017; Award for Outstanding Performance, Service and Dedication 2019 at UTP, Malaysia; "Outstanding Researcher Award" at UTP, Q Day 2019; and Best Presenter Award, IEEE CENCON 2019 international conference at Indonesia. He actively serves as Secretary, IEEE Power Electronics Society, Malaysia, since 2020. He is the Editor-in-Chief of the Journal of Asi

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