Solar Irradiance: Types and Applications

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Daryl M. Welsh (Editor)

Series: Advances in Astronomy and Astrophysics
BISAC: SCI005000

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.

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Table of Contents

Preface

Chapter 1. Photovoltaic Applications on the Basis of Modified Fuzzy Neural Net
(Ekaterina A. Engel, Department of Information Technologies and Systems, Katanov State University of Khakassia, Abakan, Russian)

Chapter 2. Direct Normal Irradiance: Measurement, Modeling and Applications
(Marius Paulescu, Department of Physics, West University of Timisoara, Timisoara, Romania)

Chapter 3. Potential Assessment of Global Solar Radiation Resources Based on Empirical and ANN Models: Algeria as a Case Study
(T. E. Boukelia, M. S. Mecibah, A. Ghellab and A. Bouraoui, Mechanical Engineering Department, Jijel University, Jijel, Algeria, and others)

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