Modeling Solar Radiation At The Earth S Surface

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.

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.

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.

Solar Irradiance: Types and Applications first presents intelligent models for sizing, parameters forecasting and control of a photovoltaic system on the basis of a modified fuzzy neural net. The modified fuzzy neural net provides automatic fulfillment and modification of all proposed intelligent models.Following this, the authors discuss modeling direct normal irradiance at the Earth's surface. In addition to looking traditionally at direct normal irradiance as a fuel for concentrating solar systems, its use in computing the sunshine number is also explored.The closing study explores the potential of using simple empirical and artificial neural network models to estimate global solar radiation on a horizontal surface. Algeria was used as a case study and four statistical parameters were chosen to assess the performances of each model or approach.

Solar Resources takes stock of the resource - sunlight - on which any plan for solar heat conversion technologies must be based. It describes the evolution of theoretical models, algorithms, and equipment for measuring, analyzing, and predicting the quantity and composition of solar radiation, and it reviews and directs readers to insolation databases and other references that have been compiled since 1975. Following an overview of solar energy research by the editor, Raymond J. Bahm presents a comprehensive guide to available insolation databases and other information resources in the United States. Charles M. Randall and Richard Bird discuss the theoretical models and algorithms used to characterize the transference of solar radiation through the earth's atmosphere. Their chapter also addresses the important question of the accuracy of the data sets produced by the various modeling methods and algorithms. The National Weather Service (NWS) monitoring network and other major monitoring networks in the United States are discussed by Kirby Hanson and Thomas Stoffel. And Eugene Zerlaut covers the instrumentation used to measure total solar irradiance and spectral solar irradiance; he describes types of equipment, their manufacturers, procedures for calibration, and the accuracy of the data produced. Richard Bird and Carol Riordan explain the nature of spectral solar irradiance at the earth's surface, and John Jensenius describes the NWS Operational Solar Insolation Forecast System, which predicts the daily total global-horizontal insolation for two days. In the concluding chapter, Claude Robbins summarizes daylighting models and resources, and details methods for converting insolation date to illuminance data. Solar Resources is volume 2 in the series Solar Heat Technologies: Fundamentals and Applications, edited by Charles A. Bankston

The cost of operating a building far exceeds the cost of constructing it, and yet until recently little attention was paid to the impact of solar radiation on the costs of heating, cooling and ventilation. And now that there has been a surge in interest in energy efficiency and solar design, architects and designers need a practical guide to the modelling and application of solar energy data. There are many different models and techniques available for calculating the distribution of solar radiation on and in buildings, and these algorithms vary considerably in scope, accuracy and complexity. This book demonstrates which of these predictive tools gives the best results in different circumstances, including explaining which models can be best used in different parts of the world. The author has had over twenty-five years of experience of dealing with solar energy data from four continents and has used that experience in this book to show the development not just of knowledge but also the growing sophistication of the models available to apply it.

This book presents the methods of quantitative determination of solar irradiation incident amount on a surface on the Earth. It brings together information not found elsewhere in a single source, and includes an innovative exposition of expert system methodologies used in the domain of solar irradiation and energy. The book provides a background to the underlying physical principles of solar irradiation and energy, with explanations as to how these can be modelled and applied.

Based on data from an experiment which ran for ten years, this book summarizes the results of the Atmospheric Physics Department of the St. Petersburg University and the Main Geophysical Observatory. The processed data now forms a rich dataset of spectral values of radiative characteristics under different atmospheric conditions. The analysis of this database clearly shows that the solar radiative absorption in a dusty and cloudy atmosphere is significantly higher than assumed to date. Both graduate students of atmospheric sciences as well as scientists and researchers in the field of meteorology and climatology will find a wealth of new data and information in this monograph.