Solar Irradiance And Photovoltaic Power Forecasting

Author : Dazhi Yang,Jan Kleissl
Publisher : CRC Press
Page : 682 pages
File Size : 49,5 Mb
Release : 2024-02-05
Category : Technology & Engineering
ISBN : 9781003830856

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Solar Irradiance and Photovoltaic Power Forecasting by Dazhi Yang,Jan Kleissl Pdf

Forecasting plays an indispensable role in grid integration of solar energy, which is an important pathway toward the grand goal of achieving planetary carbon neutrality. This rather specialized field of solar forecasting constitutes both irradiance and photovoltaic power forecasting. Its dependence on atmospheric sciences and implications for power system operations and planning make the multi-disciplinary nature of solar forecasting immediately obvious. Advances in solar forecasting represent a quiet revolution, as the landscape of solar forecasting research and practice has dramatically advanced as compared to just a decade ago. Solar Irradiance and Photovoltaic Power Forecasting provides the reader with a holistic view of all major aspects of solar forecasting: the philosophy, statistical preliminaries, data and software, base forecasting methods, post-processing techniques, forecast verification tools, irradiance-to-power conversion sequences, and the hierarchical and firm forecasting framework. The book’s scope and subject matter are designed to help anyone entering the field or wishing to stay current in understanding solar forecasting theory and applications. The text provides concrete and honest advice, methodological details and algorithms, and broader perspectives for solar forecasting. Both authors are internationally recognized experts in the field, with notable accomplishments in both academia and industry. Each author has many years of experience serving as editors of top journals in solar energy meteorology. The authors, as forecasters, are concerned not merely with delivering the technical specifics through this book, but more so with the hopes of steering future solar forecasting research in a direction that can truly expand the boundary of forecasting science.

Author : Jan Kleissl
Publisher : Academic Press
Page : 503 pages
File Size : 55,8 Mb
Release : 2013-06-25
Category : Technology & Engineering
ISBN : 9780123977724

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Solar Energy Forecasting and Resource Assessment by Jan Kleissl Pdf

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.

Author : Mohammadreza Aghaei
Publisher : BoD – Books on Demand
Page : 266 pages
File Size : 55,9 Mb
Release : 2022-10-26
Category : Technology & Engineering
ISBN : 9781839688584

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Solar Radiation by Mohammadreza Aghaei Pdf

This book includes up-to-date and detailed information on fundamental principles, measurement, modeling, and forecasting of solar radiation for technologies and applications of photovoltaic (PV) solar energy. The book also presents basic, modern, and contemporary knowledge and techniques of reliability and performance assessment for PV systems. It includes eleven chapters in four sections: “Introduction”, “Fundamentals, Measurements and Modeling of Solar Radiation”, “Forecasting and Characterization of Solar Radiation”, and “Solar Photovoltaic Technologies and Applications”. Chapters address such topics as fundamental principles, accurate measurements, and modeling of solar radiation; innovative methods for forecasting and characterization of solar radiation; PV technology and application, from conventional and emerging PV technologies to bifacial PV cells and modules and concentrator PV systems; and recent advances in reliability and performance assessment for PV systems, including outdoor characterization, degradation analysis, and PV power prediction.

Author : Fouzi Harrou,Ying Sun
Publisher : BoD – Books on Demand
Page : 212 pages
File Size : 52,5 Mb
Release : 2020-04-01
Category : Technology & Engineering
ISBN : 9781838800918

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Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems by Fouzi Harrou,Ying Sun Pdf

Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.

Author : Dazhi Yang,Jan Kleissl
Publisher : CRC Press
Page : 910 pages
File Size : 51,7 Mb
Release : 2024-02-05
Category : Technology & Engineering
ISBN : 9781003830917

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Solar Irradiance and Photovoltaic Power Forecasting by Dazhi Yang,Jan Kleissl Pdf

Forecasting plays an indispensable role in grid integration of solar energy, which is an important pathway toward the grand goal of achieving planetary carbon neutrality. This rather specialized field of solar forecasting constitutes both irradiance and photovoltaic power forecasting. Its dependence on atmospheric sciences and implications for power system operations and planning make the multi-disciplinary nature of solar forecasting immediately obvious. Advances in solar forecasting represent a quiet revolution, as the landscape of solar forecasting research and practice has dramatically advanced as compared to just a decade ago. Solar Irradiance and Photovoltaic Power Forecasting provides the reader with a holistic view of all major aspects of solar forecasting: the philosophy, statistical preliminaries, data and software, base forecasting methods, post-processing techniques, forecast verification tools, irradiance-to-power conversion sequences, and the hierarchical and firm forecasting framework. The book’s scope and subject matter are designed to help anyone entering the field or wishing to stay current in understanding solar forecasting theory and applications. The text provides concrete and honest advice, methodological details and algorithms, and broader perspectives for solar forecasting. Both authors are internationally recognized experts in the field, with notable accomplishments in both academia and industry. Each author has many years of experience serving as editors of top journals in solar energy meteorology. The authors, as forecasters, are concerned not merely with delivering the technical specifics through this book, but more so with the hopes of steering future solar forecasting research in a direction that can truly expand the boundary of forecasting science.

Author : M. Sengupta,Aron P. Dobos
Publisher : Unknown
Page : 0 pages
File Size : 52,9 Mb
Release : 2013
Category : Solar collectors
ISBN : OCLC:1396711697

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Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications by M. Sengupta,Aron P. Dobos Pdf

Author : Georges Kariniotakis
Publisher : Woodhead Publishing
Page : 386 pages
File Size : 53,6 Mb
Release : 2017-09-29
Category : Technology & Engineering
ISBN : 9780081005057

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Renewable Energy Forecasting by Georges Kariniotakis Pdf

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

Author : Xin-She Yang
Publisher : John Wiley & Sons
Page : 377 pages
File Size : 51,9 Mb
Release : 2010-07-20
Category : Mathematics
ISBN : 9780470640418

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Engineering Optimization by Xin-She Yang Pdf

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Author : Marius Paulescu,Eugenia Paulescu,Paul Gravila,Viorel Badescu
Publisher : Springer Science & Business Media
Page : 364 pages
File Size : 40,7 Mb
Release : 2012-11-05
Category : Technology & Engineering
ISBN : 9781447146490

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Weather Modeling and Forecasting of PV Systems Operation by Marius Paulescu,Eugenia Paulescu,Paul Gravila,Viorel Badescu Pdf

In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization. “p>

Author : Almoataz Y. Abdelaziz,Mahmoud A. Mossa,Najib El Ouanjli
Publisher : BoD – Books on Demand
Page : 136 pages
File Size : 44,6 Mb
Release : 2024-02-14
Category : Technology & Engineering
ISBN : 9780854660711

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Advances in Solar Photovoltaic Energy Systems by Almoataz Y. Abdelaziz,Mahmoud A. Mossa,Najib El Ouanjli Pdf

This book offers a thorough review of new ideas and developments for solar photovoltaic (PV) energy systems. Efforts to reduce costs often take two forms: enhancing the materials and physical construction of PV cells and utilizing power electronic circuits with the PV generator to increase the system's efficiency. Furthermore, random climatic factors, such as temperature and irradiance, have a significant impact on PV system performances. As a result, modeling PV panels and creating optimization plans to maximize power extracted and boost efficiency under various irradiance circumstances are crucial tasks. This book provides a comprehensive overview of cutting-edge techniques in solar PV energy systems.

Author : Mostafa Ezziyyani
Publisher : Springer Nature
Page : 331 pages
File Size : 50,9 Mb
Release : 2020-01-03
Category : Technology & Engineering
ISBN : 9783030364755

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) by Mostafa Ezziyyani Pdf

This book summarizes the latest research on advanced intelligent systems in the fields of energy and electrical engineering, presented at the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), held in Marrakech from 8 to 11 July 2019, Morocco. This book is intended for researchers, professionals and anyone interested in the development of advanced intelligent systems in the electrical engineering sector. The solutions featured focus on three main areas: motion control in complex electromechanical systems, including sensorless control; fault diagnosis and fault-tolerant control of electric drives; and new control algorithms for power electronics converters. In addition, the book includes a range of research using new technologies and advanced approaches. Offering a platform for researchers in the field of energy to share their work related to the problem of management and optimization of energy, which is a major current concern, the book mainly focuses on areas that go hand in hand with the Industrial Revolution 4.0, such as solar energy computing systems, smart grids, hydroelectric power computing systems, thermal and recycling computing systems, eco-design intelligent computing systems, renewable energy for IT equipment, modeling green technology, and renewable energy systems in smart cities. The authors of each chapter report the state of the art in the topics addressed and the results of their own research, laboratory experiments, and successful applications in order to share the concept of advanced intelligent systems and appropriate tools and techniques for modeling, storage management, as well as decision support in the field of electrical engineering. Further, the book discusses a number of future trends and the potential for linking control theory, power electronics, artificial neural networks, embedded controllers and signal processing.

Author : John Paul Mueller,Luca Massaron
Publisher : John Wiley & Sons
Page : 471 pages
File Size : 51,7 Mb
Release : 2021-02-09
Category : Computers
ISBN : 9781119724018

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Machine Learning For Dummies by John Paul Mueller,Luca Massaron Pdf

One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

Author : Yosoon Choi
Publisher : MDPI
Page : 308 pages
File Size : 46,6 Mb
Release : 2020-12-04
Category : Technology & Engineering
ISBN : 9783039436378

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Solar Power System Planning & Design by Yosoon Choi Pdf

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.

Author : Jesús Polo,Luis Martín-Pomares,Antonio Sanfilippo
Publisher : Springer
Page : 367 pages
File Size : 48,6 Mb
Release : 2019-01-22
Category : Technology & Engineering
ISBN : 9783319974842

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Solar Resources Mapping by Jesús Polo,Luis Martín-Pomares,Antonio Sanfilippo Pdf

This book presents methods for optimising the spatial and network configuration of solar radiation measuring stations. Various physical and mathematical models are demonstrated, which together with high quality measurements, provide the essential tools to generate and validate solar resource estimates to improve the mapping of solar resources. Each chapter deals with a specific topic, showing its methodology, and providing examples of how to apply these techniques with reference to current projects around the world. These topics include: · Radiometric measurement campaigns;· Equipment calibration, installation, operation, and maintenance;· Data quality assurance and assessment;· Solar radiation modelling from satellite images and numerical models;· Downscaling and kriging interpolation of solar radiation;· Simulation of electric solar power plant generation;· Solar radiation forecasting;· Applications of solar energy; and· Socio-economic benefits of solar energy. The contributors present the statistical and physical models needed to derive solar radiation from satellite images and numerical models, emphasising the importance of measuring solar radiation accurately. They also show the classical models used to generate synthetic data, clear sky models and ancillary air quality and meteorological data from different input sources. Solar Resources Mapping provides industry professionals with methodologies and tools to build solar irradiance maps for different applications. The book will also benefit students and researchers as it serves as a main technical reference, presenting the basic terminology and fundamentals for solar resource mapping that include methods for assessing measurement uncertainty.

Author : Radu-Emil Precup,Tariq Kamal,Syed Zulqadar Hassan
Publisher : Springer
Page : 250 pages
File Size : 44,7 Mb
Release : 2019-02-07
Category : Technology & Engineering
ISBN : 9789811361517

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Solar Photovoltaic Power Plants by Radu-Emil Precup,Tariq Kamal,Syed Zulqadar Hassan Pdf

This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated.