| 书目名称 | Wind Field and Solar Radiation Characterization and Forecasting |
| 副标题 | A Numerical Approach |
| 编辑 | Richard Perez |
| 视频video | |
| 概述 | Gives readers the tools needed to analyze and predict the potential of sites for both wind and solar power generation.Includes wind-field analysis and forecasting.Introduces a method for generating 3D |
| 丛书名称 | Green Energy and Technology |
| 图书封面 |  |
| 描述 | In addition to describing core concepts and principles, this book reveals professional methodologies and tools used by national agencies and private corporations to predict sites’ potential for wind and solar power generation. Each chapter focuses on a different issue, showing readers the corresponding methodology, as well as examples of how to apply the techniques described. These techniques are explained with step-by-step guides that demonstrate how environmental variables in complex terrains can be characterized and forecasted..The authors present an adaptive finite element mass-consistent model, which computes a diagnostic wind field in the three-dimensional area of interest using observed wind data from measurement stations – data which is then interpolated using a physical model of the wind field in the boundary layer. An ensemble method is presented based on the perturbation of the numerical weather prediction models’ results. .The book goes on to explain solar radiation characterization and forecasting. Solar radiation and electrical power generation temporal and spatial variability are discussed and modelled. Different statistical methods are presented in order to improve |
| 出版日期 | Book 2018 |
| 关键词 | Analysis and Characterization of Meteorological Data; Solar Radiation Forecasting; Wind Field Forecast |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-76876-2 |
| isbn_softcover | 978-3-030-08315-1 |
| isbn_ebook | 978-3-319-76876-2Series ISSN 1865-3529 Series E-ISSN 1865-3537 |
| issn_series | 1865-3529 |
| copyright | Springer International Publishing AG, part of Springer Nature 2018 |
发表于 2025-3-21 19:42:48
