Weather Modeling and Forecasting of PV Systems Operation
By: by Marius Paulescu, Eugenia Paulescu, Paul Gravila, Viorel Badescu
Contributors: Paulescu, Eugenia; Gravila, Paul; Badescu, Viorel; SpringerLink (Online service)
Series: Green Energy and Technology
Publisher: Springer London; Imprint: Springer
Published: 2013
Place of publication: London
Language: eng
Format: [electronic resource] /
Number of pages: 355
ISBN-13: 9781447146490
Subjects: Energy harvesting; Environmental Monitoring/Analysis; Renewable and Green Energy; Meteorology; Power (Mechanics); Appl.Mathematics/Computational Methods of Engineering; Engineering mathematics; Renewable energy sources; Force and energy; Power resources; Meteorology/Climatology
Description: <p><p><p>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. </p><p><i>Weather modeling and forecasting of PV systems operation</i> 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. </p><p><i>Weather modeling and forecasting of PV systems operation</i> is written for researchers, engineers, physicists and students interested in PV systems design and utilization.<br></p><p><p><p><p><p><p><p><p><p><p>
Table of contents: title: The future of the energy mix paradigm; title: Solar radiation measurements; title: State of the sky assessment; title: Stability of the radiative regime; title: Modeling Solar Radiation at the Earth Surface; title: Time series forecasting; title: Fuzzy logic approaches; title: Air temperature based models; title: Outdoor operations of PV systems; title: Forecasting the power output of PV systems; title: Perspectives.