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Featured researches published by J. Polo.


Archive | 2018

Acquisition and Analysis of Meteorological Data

Javier Calvo Sánchez; Gema Morales Martín; J. Polo

Wind and solar radiation observations are required for renewable energy modeling and forecasting. High-quality ground measurements are essential for renewable energy studies. Ideal wind measurement devices should respond to slightest breezes, be strong enough to stand up high winds, give a fast and accurate answer for turbulent fluctuations, and have a linear output and a simple dynamic performance. The solar radiation reaching the earth’s surface contains several components, beam, diffuse, and reflected (albedo) radiation, as a consequence of the interaction with atmospheric particles. The instruments for measuring solar radiation are classified according to the working principle (mainly thermoelectric or photoelectric sensors) and to the component of solar radiation to be measured. Ground measurements give information about solar radiation or wind fields in a specific location. On the other hand, in many applications for the modeling and prediction of natural resources, meteorological data with a greater spatial distribution are needed. Satellite models offer meteorological data estimated from satellite images with a high spatial and temporary resolution. In the same way, Numerical Weather Predictions models give information about several meteorological variables with a great spatial resolution.


Solar Energy | 2010

Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning

L. Martín; Luis F. Zarzalejo; J. Polo; A.A. Navarro; R. Marchante; Marco Cony


Solar Energy | 2009

Analysis of different comparison parameters applied to solar radiation data from satellite and German radiometric stations

Bella Espinar; Lourdes Ramírez; Anja Drews; Hans Georg Beyer; Luis F. Zarzalejo; J. Polo; L. Martín


Solar Energy | 2009

A new statistical approach for deriving global solar radiation from satellite images

Luis F. Zarzalejo; J. Polo; L. Martín; Lourdes Ramírez; Bella Espinar


Energy | 2005

Artificial intelligence techniques applied to hourly global irradiance estimation from satellite-derived cloud index

Luis F. Zarzalejo; Lourdes Ramírez; J. Polo


Solar Energy | 2011

Solar radiation estimations over India using Meteosat satellite images

J. Polo; Luis F. Zarzalejo; Marco Cony; A.A. Navarro; R. Marchante; L. Martín; Manuel Romero


Solar Energy | 2016

Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets

J. Polo; Stefan Wilbert; José A. Ruiz-Arias; Richard Meyer; Christian A. Gueymard; Marcel Suri; L. Martín; Theresa Mieslinger; Philippe Blanc; Ian Grant; John Boland; Pierre Ineichen; Jan Remund; Rodrigo Escobar; Alberto Troccoli; Manajit Sengupta; Kristian Pagh Nielsen; David Renné; Norbert Geuder; Tomas Cebecauer


Energy Conversion and Management | 2015

Solar resources and power potential mapping in Vietnam using satellite-derived and GIS-based information

J. Polo; A. Bernardos; A.A. Navarro; C.M. Fernandez-Peruchena; Lourdes Ramírez; María V. Guisado; S. Martínez


Renewable Energy | 2014

Sensitivity of satellite-based methods for deriving solar radiation to different choice of aerosol input and models

J. Polo; F. Antonanzas-Torres; J.M. Vindel; Lourdes Ramírez


Archive | 2008

Solar Radiation Derived from Satellite Images

J. Polo; Luis F. Zarzalejo; Lourdes Ramírez

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Lourdes Ramírez

United States Department of Energy

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Luis F. Zarzalejo

United States Department of Energy

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L. Martín

United States Department of Energy

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A.A. Navarro

United States Department of Energy

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Marcel Suri

Slovak Academy of Sciences

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J.M. Vindel

United States Department of Energy

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Lucien Wald

PSL Research University

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