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Author: Jesús Polo
Publisher: Mdpi AG
ISBN: 9783036578705
Category : Science
Languages : en
Pages : 0
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Book Description
This reprint gathers several works focused on recent and novel research in solar radiation modeling and forecasting where remote sensing techniques and retrieval information is employed as a part of the methodology. The use of machine learning algorithms in solar irradiance modeling and solar power forecasting is included in some of the works here presented. This is a topic with high interest nowadays because of the impact in solar energy deployment and in atmospheric studies as well. The recent improved remote sensing information and available data and the advances in machine learning algorithms have a relevant presence in this reprint indicating the current ad near future path of the contributions in solar radiation modeling.
Author: Jesús Polo
Publisher: Mdpi AG
ISBN: 9783036578705
Category : Science
Languages : en
Pages : 0
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Book Description
This reprint gathers several works focused on recent and novel research in solar radiation modeling and forecasting where remote sensing techniques and retrieval information is employed as a part of the methodology. The use of machine learning algorithms in solar irradiance modeling and solar power forecasting is included in some of the works here presented. This is a topic with high interest nowadays because of the impact in solar energy deployment and in atmospheric studies as well. The recent improved remote sensing information and available data and the advances in machine learning algorithms have a relevant presence in this reprint indicating the current ad near future path of the contributions in solar radiation modeling.
Author: Dimitris Kaskaoutis
Publisher: MDPI
ISBN: 3039210041
Category : Technology & Engineering
Languages : en
Pages : 230
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Book Description
Accurate solar radiation knowledge and its characterization on the Earth’s surface are of high interest in many aspects of environmental and engineering sciences. Modeling of solar irradiance from satellite imagery has become the most widely used method for retrieving solar irradiance information under total sky conditions, particularly in the solar energy community. Solar radiation modeling, forecasting, and characterization continue to be broad areas of study, research, and development in the scientific community. This Special Issue contains a small sample of the current activities in this field. Both the environmental and climatology community, as the solar energy world, share a great interest in improving modeling tools and capabilities for obtaining more reliable and accurate knowledge of solar irradiance components worldwide. The work presented in this Special Issue also remarks on the significant role that remote sensing technologies play in retrieving and forecasting solar radiation information.
Author: Dimitris Kaskaoutis
Publisher:
ISBN: 9783039210053
Category : Physics
Languages : en
Pages : 230
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Book Description
Accurate solar radiation knowledge and its characterization on the Earth's surface are of high interest in many aspects of environmental and engineering sciences. Modeling of solar irradiance from satellite imagery has become the most widely used method for retrieving solar irradiance information under total sky conditions, particularly in the solar energy community. Solar radiation modeling, forecasting, and characterization continue to be broad areas of study, research, and development in the scientific community. This Special Issue contains a small sample of the current activities in this field. Both the environmental and climatology community, as the solar energy world, share a great interest in improving modeling tools and capabilities for obtaining more reliable and accurate knowledge of solar irradiance components worldwide. The work presented in this Special Issue also remarks on the significant role that remote sensing technologies play in retrieving and forecasting solar radiation information.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Accurate solar radiation knowledge and its characterization on the Earth's surface are of high interest in many aspects of environmental and engineering sciences. Modeling of solar irradiance from satellite imagery has become the most widely used method for retrieving solar irradiance information under total sky conditions, particularly in the solar energy community. Solar radiation modeling, forecasting, and characterization continue to be broad areas of study, research, and development in the scientific community. This Special Issue contains a small sample of the current activities in this field. Both the environmental and climatology community, as the solar energy world, share a great interest in improving modeling tools and capabilities for obtaining more reliable and accurate knowledge of solar irradiance components worldwide. The work presented in this Special Issue also remarks on the significant role that remote sensing technologies play in retrieving and forecasting solar radiation information.
Author: Viorel Badescu
Publisher: Springer Science & Business Media
ISBN: 3540774556
Category : Technology & Engineering
Languages : en
Pages : 537
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Book Description
Solar radiation data is important for a wide range of applications, e.g. in engineering, agriculture, health sector, and in many fields of the natural sciences. A few examples showing the diversity of applications may include: architecture and building design, e.g. air conditioning and cooling systems; solar heating system design and use; solar power generation; evaporation and irrigation; calculation of water requirements for crops; monitoring plant growth and disease control; skin cancer research.
Author: Jan Kleissl
Publisher: Academic Press
ISBN: 012397772X
Category : Technology & Engineering
Languages : en
Pages : 503
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Book Description
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: Stuart Elwood Waterman
Publisher:
ISBN:
Category : Remote sensing
Languages : en
Pages : 412
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Book Description
Author: Jesús Polo
Publisher: Springer
ISBN: 331997484X
Category : Technology & Engineering
Languages : en
Pages : 367
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Book Description
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: Zhouyi Liao
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
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Book Description
Solar PV installation is growing fast in recent decades across the world but high variability of solar power hinders its further penetration to the energy market. This variability mainly comes from cloud coverage, water vapor content and aerosol loadings, and has the greatest effect in short-term solar power prediction. This high volatility nature of solar insolation makes it difficult to integrate PV output to electricity grid. A more accurate short-term solar power prediction helps to develop bidding strategies for real-time markets or to determine the need for operating reserves. This work aims to tackle this problem by employing comprehensive spectral radiative models to calculate longwave and shortwave radiation through the atmosphere, estimating cloud properties from remote sensing data with the atmospheric model and building convolutional neural network model to model and forecast solar radiation. First, a Line-by-Line (LBL) spectral radiative model is built to capture details of the highly wavenumber-dependent nature of the irradiance fluxes. Then the broadband empirical model serves as a benchmark to validate the LBL model. For longwave spectrum that is emitted and absorbed by gases, aerosols, clouds and the ground, a high-resolution two-flux model with a recursive scattering method is developed. For the shortwave (solar) part of the spectrum, which includes scattering from atmospheric constituents and the ground, 3D comprehensive Monte-Carlo simulations are used. Beyond the basic model, some corrections or calibrations are made. Comprehensive Monte Carlo simulations are used for correcting deviations on the atmospheric downwelling longwave (DLW) flux caused by isotropic scattering assumptions in high aerosol loading regimes.The [delta]-M approximation input-based scaling rule is validated for a wide range of aerosol loading values except for very high aerosol loading conditions. This proposed scaling rules minimize substantially the computational effort of calculating anisotropic downwelling radiation from diverse types of aerosols under these extreme conditions. Earth curvature effect (air mass correction) is also tested. Although for solar zenith angles larger than 75°, the attenuation of the direct solar beam is overestimated in a plane-parallel atmosphere comparing to in a real spherical atmosphere, for most solar rays, a plane-parallel atmosphere approximation is accurate enough for modeling. A Spectral Cloud Optical Property Estimation (SCOPE) method that integrates the high-resolution imagery from GOES-R satellite and a two-stream, spectrally-resolved longwave radiative model was proposed, for the estimation of cloud optical depth and cloud bottom height. An improved model SCOPE 2.0 is also proposed which considers multi-layer clouds, clouds with ice crystals and aerosol corrections. A shortwave Monte Carlo simulation is developed and used to validate the derived cloud optical properties. With this comprehensive cloud cover estimate model, a convolutional neural networks (CNN) model is developed to correlate global horizontal irradiance (GHI) to the satellite-derived cloud cover (a "now-cast"). The performance of SCOPE method as well as CNN+SCOPE model is evaluated using one year (2018) of downwelling longwave (DLW) radiation and GHI measurements from the Surface Radiation Budget Network, which consists of seven sites spread across climatically diverse regions of the contiguous United States. CNN+SCOPE model achieves test-set root-mean-square error (RMSE) of 30.5 - 62.6 W[subscript m]−2 with an average of 47.2 W[subscript m]−2, which is better then the National Solar Radiation Database (NSRDB) model (average RMSE is 66.9 W[subscript m]−2). A reference CNN model is also tested which directly use satellite ABI data that the SCOPE model uses with an average error equal to 69.4 W[subscript m]−2. This success at CNN+SCOPE "now-cast" model points to possible future uses for short-term forecast.
Author: Anatoly Kuznetsov
Publisher: Springer Science & Business Media
ISBN: 3642148980
Category : Technology & Engineering
Languages : en
Pages : 193
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Book Description
The interaction of the solar and heat radiation with the atmosphere and surface is the subject of the book. It is useful also for wide circle scientists involved in environmental studies. The book contains the description of 17 computer studying programs supporting different topics of courses. It includes only the base ground for comprehension of key topics and provides the accomplishment of practical works with using specially elaborated computer programs. Themes of practical works reflect main sections of mentioned courses of lectures. The packet of computer programs is added for solution of direct and inverse problems. It promotes deep and reliable comprehension of corresponding topics by students. All described approaches and computer programs are valuable resources for solving radiative transfer problems and they could be used by students for courses and diploma studies concerned atmospheric optics.