Solar Energy Forecasting and Resource Assessment Book

Solar Energy Forecasting and Resource Assessment

  • Author : Jan Kleissl
  • Publisher : Academic Press
  • Release Date : 2013-06-25
  • Genre: Technology & Engineering
  • Pages : 462
  • ISBN 10 : 9780123977724
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Solar Energy Forecasting and Resource Assessment is a vital text for solar energy professionals, addressing a critical gap in the core literature of the field. As major barriers to solar energy implementation, such as materials cost and low conversion efficiency, continue to fall, issues of intermittency and reliability have come to the fore. Scrutiny from solar project developers and their financiers on the accuracy of long-term resource projections and grid operators’ concerns about variable short-term power generation have made the field of solar forecasting and resource assessment pivotally important. This volume provides an authoritative voice on the topic, incorporating contributions from an internationally recognized group of top authors from both industry and academia, focused on providing information from underlying scientific fundamentals to practical applications and emphasizing the latest technological developments driving this discipline forward. The only reference dedicated to forecasting and assessing solar resources enables a complete understanding of the state of the art from the world’s most renowned experts. Demonstrates how to derive reliable data on solar resource availability and variability at specific locations to support accurate prediction of solar plant performance and attendant financial analysis. Provides cutting-edge information on recent advances in solar forecasting through monitoring, satellite and ground remote sensing, and numerical weather prediction.

Renewable Energy Resource Assessment and Forecasting Book

Renewable Energy Resource Assessment and Forecasting

  • Author : George Galanis
  • Publisher : MDPI
  • Release Date : 2020-11-27
  • Genre: Technology & Engineering
  • Pages : 306
  • ISBN 10 : 9783039430864
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In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Renewable Energy Resource Assessment and Forecasting Book

Renewable Energy Resource Assessment and Forecasting

  • Author : George Galanis
  • Publisher : Unknown
  • Release Date : 2020
  • Genre: Uncategoriezed
  • Pages : 306
  • ISBN 10 : 3039430874
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Download Renewable Energy Resource Assessment and Forecasting Ebook PDF/EPUB

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on 'Renewable Energy Resource Assessment and Forecasting' aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today's technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Solar Power System Planning Design Book

Solar Power System Planning Design

  • Author : Yosoon Choi
  • Publisher : MDPI
  • Release Date : 2020-12-04
  • Genre: Technology & Engineering
  • Pages : 308
  • ISBN 10 : 9783039436378
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Photovoltaic (PV) and concentrated solar power (CSP) systems for the conversion of solar energy into electricity are technologically robust, scalable, and geographically dispersed, and they possess enormous potential as sustainable energy sources. Systematic planning and design considering various factors and constraints are necessary for the successful deployment of PV and CSP systems. This book on solar power system planning and design includes 14 publications from esteemed research groups worldwide. The research and review papers in this Special Issue fall within the following broad categories: resource assessments, site evaluations, system design, performance assessments, and feasibility studies.

Assessment of Renewable Energy Resources with Remote Sensing Book

Assessment of Renewable Energy Resources with Remote Sensing

  • Author : Fernando Ramos Martins
  • Publisher : MDPI
  • Release Date : 2021-03-18
  • Genre: Science
  • Pages : 244
  • ISBN 10 : 9783036504803
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The book “Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security.

Renewable Energy Forecasting Book

Renewable Energy Forecasting

  • Author : Georges Kariniotakis
  • Publisher : Woodhead Publishing
  • Release Date : 2017-09-29
  • Genre: Technology & Engineering
  • Pages : 386
  • ISBN 10 : 9780081005057
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Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets. Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects. Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries Reviews state-of-the-science techniques for renewable energy forecasting Contains chapters on operational applications

Intelligent Data Analytics for Solar Energy Prediction and Forecasting Book

Intelligent Data Analytics for Solar Energy Prediction and Forecasting

  • Author : Hasmat Malik
  • Publisher : Elsevier
  • Release Date : 2023-11-01
  • Genre: Business & Economics
  • Pages : 0
  • ISBN 10 : 0443134820
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Download Intelligent Data Analytics for Solar Energy Prediction and Forecasting Ebook PDF/EPUB

Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural network, machine learning, and data analytics techniques for solar radiation prediction and solar energy forecasting, supporting installation and maximum power generation. The book addresses key questions relating to the analysis of relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules. This is supported by detailed methods, coding, modelling, and experimental analysis of PV power generation under outdoor conditions. This book is of interest to researchers, scientists, and advanced students across solar energy, renewable energy, electrical engineering, AI and machine learning, computer science and information technology, control engineering, mechanical engineering, and electronics, as well as engineers, R&D professionals, and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems more generally.

Data Analytics for Renewable Energy Integration Book

Data Analytics for Renewable Energy Integration

  • Author : Wei Lee Woon
  • Publisher : Springer
  • Release Date : 2017-01-18
  • Genre: Computers
  • Pages : 137
  • ISBN 10 : 9783319509471
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This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.

Advances in Solar Energy Research Book

Advances in Solar Energy Research

  • Author : Himanshu Tyagi
  • Publisher : Springer
  • Release Date : 2018-11-01
  • Genre: Technology & Engineering
  • Pages : 592
  • ISBN 10 : 9789811333026
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This book covers major technological advancements in, and evolving applications of, thermal and photovoltaic solar energy systems. Advances in technologies for harnessing solar energy are extensively discussed, with topics including the fabrication, compaction and optimization of energy grids, solar cells and panels. Leading international experts discuss the applications, challenges and future prospects of research in this increasingly vital field, providing a valuable resource for all researchers working in this field.

Renewable Energy Forecasting and Risk Management Book

Renewable Energy Forecasting and Risk Management

  • Author : Philippe Drobinski
  • Publisher : Springer
  • Release Date : 2018-12-27
  • Genre: Mathematics
  • Pages : 246
  • ISBN 10 : 9783319990521
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Gathering selected, revised and extended contributions from the conference ‘Forecasting and Risk Management for Renewable Energy FOREWER’, which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems.

The Performance of Concentrated Solar Power CSP Systems Book

The Performance of Concentrated Solar Power CSP Systems

  • Author : Peter Heller
  • Publisher : Woodhead Publishing
  • Release Date : 2017-05-15
  • Genre: Technology & Engineering
  • Pages : 298
  • ISBN 10 : 9780081004487
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The Performance of Concentrated Solar Power (CSP) Systems: Analysis, Measurement, and Assessment offers a unique overview of the information on the state-of-the-art of analysis, measurement, and assessment of the performance of concentrated solar power (CSP) components and systems in a comprehensive, compact, and complete manner. Following an introductory chapter to CSP systems and the fundamental principles of performance assessment, individual chapters explore the component performance of mirrors and receivers. Further expert-written chapters look at system performance assessment, durability testing, and solar resource forecasting for CSP systems. A final chapter gives an outlook on the actual methods and instruments for performance and durability assessment that are under development. The Performance of Concentrated Solar Power (CSP) Systems: Analysis, Measurement, and Assessment is an essential reference text for research and development professionals and engineers working on concentrated solar power systems, as well as for postgraduate students studying CSP. Presents a unique, single literature source for a complete overview of the performance assessment tools and methods currently used for concentrated solar power (CSP) technology Written by a team of experts in the field of CSP Provides information on the state-of-the-art of modeling, measurement, and assessment of the performance of CSP components and systems in a comprehensive, compact, and complete manner

Solar Resource Assessment with Sky Imagery and a Virtual Testbed for Sky Imager Solar Forecasting Book

Solar Resource Assessment with Sky Imagery and a Virtual Testbed for Sky Imager Solar Forecasting

  • Author : Benjamin Bernard Kurtz
  • Publisher : Unknown
  • Release Date : 2017
  • Genre: Uncategoriezed
  • Pages : 90
  • ISBN 10 : OCLC:1018312084
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Download Solar Resource Assessment with Sky Imagery and a Virtual Testbed for Sky Imager Solar Forecasting Ebook PDF/EPUB

In recent years, ground-based sky imagers have emerged as a promising tool for forecasting solar energy on short time scales (0 to 30 minutes ahead). Following the development of sky imager hardware and algorithms at UC San Diego, we present three new or improved algorithms for sky imager forecasting and forecast evaluation. First, we present an algorithm for measuring irradiance with a sky imager. Sky imager forecasts are often used in conjunction with other instruments for measuring irradiance, so this has the potential to decrease instrumentation costs and logistical complexity. In particular, the forecast algorithm itself often relies on knowledge of the current irradiance which can now be provided directly from the sky images. Irradiance measurements are accurate to within about 10%. Second, we demonstrate a virtual sky imager testbed that can be used for validating and enhancing the forecast algorithm. The testbed uses high-quality (but slow) simulations to produce virtual clouds and sky images. Because virtual cloud locations are known, much more advanced validation procedures are possible with the virtual testbed than with measured data. In this way, we are able to determine that camera geometry and non-uniform evolution of the cloud field are the two largest sources of forecast error. Finally, with the assistance of the virtual sky imager testbed, we develop improvements to the cloud advection model used for forecasting. The new advection schemes are 10-20% better at short time horizons.

Photovoltaics for Sustainable Electricity and Buildings Book

Photovoltaics for Sustainable Electricity and Buildings

  • Author : Ali Sayigh
  • Publisher : Springer
  • Release Date : 2016-12-01
  • Genre: Technology & Engineering
  • Pages : 186
  • ISBN 10 : 9783319392806
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This leading-edge volume on advances in photovoltaic technology features diverse contributions from experts in every major geographic PV market. It examines emerging applications such as electricity grid load-balancing and demand- response, PV storage systems, photovoltaic/thermal solar collectors and carbon-offset in buildings. Engineers, researchers, developers and students alike will find new avenues for exploration and fresh insights into this continually evolving field. Highlights the most recent advances in Photovoltaics, from Next-Gen Storage Systems to Bifacial PV/T Solar Collectors; Provides expert insights on the recent evolution and near future of PV markets around the globe; Covers applications from grid-tied storage and power generation to green buildings.

Solar and Infrared Radiation Measurements Second Edition Book

Solar and Infrared Radiation Measurements Second Edition

  • Author : Frank Vignola
  • Publisher : CRC Press
  • Release Date : 2019-08-16
  • Genre: Technology & Engineering
  • Pages : 494
  • ISBN 10 : 9781351600200
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The rather specialized field of solar and infrared radiation measurements has become increasingly important due to the increased demands by the renewable energy and climate change research communities for data with higher accuracy and increased temporal and spatial resolutions. Recent advances in radiometry, measurement systems, and information dissemination also have increased the need for refreshing the literature available for this topic. This book provides the reader with an up-to-date review of the important aspects of solar and infrared radiation measurements: radiometer design; equipment installation, operation, maintenance, and calibration; data quality assessment parameters; and the knowledge necessary to properly interpret and apply the measured data to a variety of topics. Each of the authors has more than 40 years of experience with this subject, primarily as the result of developing and operating multiple measurement stations, working with the industry to improve radiometry, and conducting various research projects. The book’s scope and subject matter have been designed to help a wide audience gain a general understanding of this subject and to serve as a technical reference. A student new to the field will benefit from the review of terminology and the historical perspective for radiometry before addressing more detailed topics in radiometry that we hope will be of interest to the more experienced reader.  Describes the strengths and weaknesses of irradiance instruments  Provides detailed information on how to assess uncertainty in measurements  Offers comprehensive background information needed to understand the use of solar instrumentation  Discusses design concepts for shadowband radiometers, sky imagers, and satellite-based estimates of solar irradiance at the Earth’s surface  Includes chapter-end questions, references, and useful links