Advanced Methods for Processing and Visualizing the Renewable Energy
Advanced Methods for Processing and Visualizing the Renewable Energy

Author: Samsul Ariffin Abdul Karim

Publisher: Springer Nature

Published: 2020-10-21

Total Pages: 157

ISBN-13: 9811586063

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This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.

Advanced Concepts for Renewable Energy Supply of Data Centres
Advanced Concepts for Renewable Energy Supply of Data Centres

Author: Jaume Salom

Publisher: CRC Press

Published: 2022-09-01

Total Pages: 337

ISBN-13: 1000799352

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The rapid increase of cloud computing, high performance computing (HPC) and the vast growth in Internet and Social Media use have aroused the interest in energy consumption and the carbon footprint of Data Centres. Data Centres primarily contain electronic equipment used for data processing (servers), data storage (storage equipment), and communications (network equipment). Collectively, this equipment processes, stores, and transmits digital information and is known as information technology (IT) equipment. Advanced Concepts for Renewable Energy Supply of Data Centres introduces a number of technical solutions for the supply of power and cooling energy into Data Centres with enhanced utilisation of renewable energy sources in order to achieve low energy Data Centres. Because of the high energy density nature of these unique infrastructures, it is essential to implement energy efficiency measures and reduce consumption before introducing any renewable energy source. A holistic approach is used with the objective of integrating many technical solutions such as management of the IT (Information Technology) load, efficient electrical supply to the IT systems, Low-Ex air-conditioning systems, interaction with district heating and cooling networks, re-use of heat, free cooling (air, seawater, groundwater), optimal use of heat and cold storage, electrical storage and integration in smart grids. This book is therefore a catalogue of advanced technical concepts that could be integrated into Data Centres portfolio in order to increase the overall efficiency and the share of renewable energies in power and cooling supply. Based on dynamic energy models implemented in TRNSYS some concepts are deeply evaluated through yearly simulations. The results of the simulation are illustrated with Sankey charts, where the energy flows per year within the subsystems of each concept for a selected scenario are shown, and graphs showing the results of parametric analysis. A set of environmental metrics (as the non-renewable primary energy) and financial metrics (CAPEX and OPEX) as well of energy efficiency metrics like the well-known PUE, are described and used to evaluate the different technical concepts.

Advanced Computational Techniques for Renewable Energy Systems
Advanced Computational Techniques for Renewable Energy Systems

Author: Mustapha Hatti

Publisher: Springer Nature

Published: 2023-02-13

Total Pages: 844

ISBN-13: 3031212169

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In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

Numerical Modeling of Nanoparticle Transport in Porous Media
Numerical Modeling of Nanoparticle Transport in Porous Media

Author: Mohamed F. El-Amin

Publisher: Elsevier

Published: 2023-06-17

Total Pages: 432

ISBN-13: 0323905129

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Numerical Modeling of Nanoparticle Transport in Porous Media: MATLAB/PYTHON Approach focuses on modeling and numerical aspects of nanoparticle transport within single- and two-phase flow in porous media. The book discusses modeling development, dimensional analysis, numerical solutions and convergence analysis. Actual types of porous media have been considered, including heterogeneous, fractured, and anisotropic. Moreover, different interactions with nanoparticles are studied, such as magnetic nanoparticles, ferrofluids and polymers. Finally, several machine learning techniques are implemented to predict nanoparticle transport in porous media. This book provides a complete full reference in mathematical modeling and numerical aspects of nanoparticle transport in porous media. It is an important reference source for engineers, mathematicians, and materials scientists who are looking to increase their understanding of modeling, simulation, and analysis at the nanoscale. - Explains the major simulation models and numerical techniques used for predicting nanoscale transport phenomena - Provides MATLAB codes for most of the numerical simulation and Python codes for machine learning calculations - Uses examples and results to illustrate each model type to the reader - Assesses major application areas for each model type

Smart Cities: Power Electronics, Renewable Energy, and Internet of Things
Smart Cities: Power Electronics, Renewable Energy, and Internet of Things

Author: Ahteshamul Haque

Publisher: CRC Press

Published: 2024-02-15

Total Pages: 338

ISBN-13: 1003844731

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This book discusses the integration of power electronics, renewable energy, and the Internet of Things (IoT) from the perspective of smart cities in a single volume. The text will be helpful for senior undergraduate, graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, and computers. The book: Covers the integration of power electronics, energy harvesting, and the IoT for smart city applications Discusses concepts of power electronics and the IoT in electric vehicles for smart cities Examines the integration of power electronics in renewable energy for smart cities Discusses important concepts of energy harvesting including solar energy harvesting, maximum power point tracking (MPPT) controllers, and switch-mode power supplies (SMPS) Explores IoT connectivity technologies such as long-term evolution (LTE), narrow band NB-IoT, long-range (LoRa), Bluetooth, and ZigBee (IEEE Standard 802.15.4) for low data rate wireless personal communication applications The text provides the knowledge about applications, technologies, and standards of power electronics, renewable energy, and IoT for smart cities. It will serve as an ideal reference text for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, civil engineering, and environmental engineering.

The Renewable Energy Landscape
The Renewable Energy Landscape

Author: Dean Apostol

Publisher: Routledge

Published: 2016-08-19

Total Pages: 411

ISBN-13: 1317211014

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Winner of the 2017 EDRA Great Places Award (Research Category) Winner of the 2017 VT ASLA Chapter Award of Excellence (Communications Category) The Renewable Energy Landscape is a definitive guide to understanding, assessing, avoiding, and minimizing scenic impacts as we transition to a more renewable energy future. It focuses attention, for the first time, on the unique challenges solar, wind, and geothermal energy will create for landscape protection, planning, design, and management. Topics addressed include: Policies aimed at managing scenic impacts from renewable energy development and their social acceptance within North America, Europe and Australia Visual characteristics of energy facilities, including the design and planning techniques for avoiding or mitigating impacts or improving visual fit Methods of assessing visual impacts or energy projects and the best practices for creating and using visual simulations Policy recommendations for political and regulatory bodies. A comprehensive and practical book, The Renewable Energy Landscape is an essential resource for those engaged in planning, designing, or regulating the impacts of these new, critical energy sources, as well as a resource for communities that may be facing the prospect of development in their local landscape.

Advanced Hybrid Information Processing
Advanced Hybrid Information Processing

Author: Weina Fu

Publisher: Springer Nature

Published: 2023-03-21

Total Pages: 806

ISBN-13: 3031287878

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This two-volume set constitutes the post-conference proceedings of the 6th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2022, held in Changsha, China, in September 29-30, 2022. The 109 full papers presented were selected from 276 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: Information Extracting and Processing in Digital World; Education Based methods in Learning and Teaching; Various Systems for Digital World.

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

Author: Ashutosh Kumar Dubey

Publisher: Elsevier

Published: 2022-11-11

Total Pages: 500

ISBN-13: 0323997155

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Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action. - Includes case studies on the application of AI and machine learning for monitoring climate change effects and management - Features applications of software and algorithms for modeling and forecasting climate change - Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability

Advanced Methods for Processing and Visualizing the Renewable Energy
Advanced Methods for Processing and Visualizing the Renewable Energy

Author: Samsul Ariffin Abdul Karim

Publisher:

Published: 2021

Total Pages: 0

ISBN-13: 9789811586071

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This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.