Archivo Digital UPM: No conditions. Results ordered -Date Deposited. 2022-12-05T20:54:35ZEPrintshttps://oa.upm.es/style/images/logo-archivo-digital.pnghttps://oa.upm.es/2018-04-02T09:07:34Z2019-10-31T23:30:03Zhttps://oa.upm.es/id/eprint/49898This item is in the repository with the URL: https://oa.upm.es/id/eprint/498982018-04-02T09:07:34ZComparative study of PV power forecast using parametric and nonparametric PV modelsForecast procedures for large ground mounted PV plants or smaller BIPV or BAPV systems may use a parametric or a nonparametric model of the PV system. In this paper, both approaches are used independently to calculate the energy delivered to the grid on an hourly basis in forecast procedures that use meteorological variables from a Numerical Weather Prediction model as inputs, and their performances against real generation data from six PV plants are analyzed. The parametric approach relies on mathematical models with several parameters that describe the PV systems and it was implemented in MATLAB whereas the nonparametric approach is based on Quantile Regression Forests with training and forecast stages and its code was built in R. The parametric approach presented more significant bias on its results, mostly due to the input data and the transposition model of irradiance from a horizontal surface to the plane of the PV array.Marcelo Pinho AlmeidaMikel MuñozIñigo de la ParraOscar Perpiñan Lamigueirooscar.perpinan@upm.es2017-09-29T07:25:06Z2018-11-30T23:30:05Zhttps://oa.upm.es/id/eprint/47895This item is in the repository with the URL: https://oa.upm.es/id/eprint/478952017-09-29T07:25:06ZA simple model for the prediction of yearly energy yields for grid-connected PV systems starting from monthly meteorological dataThis paper presents a simple model, called Clear-cloudy sky, which estimates yearly energy yields for PV systems starting from the twelve monthly values of global horizontal solar irradiation, diffuse fraction, Linke turbidity and minimum and maximum ambient temperatures. The proposed model has been included in an online and free-software simulator of PV systems, called SISIFO, which has been used to analyse the performance of the model in comparison with other synthetic models using as reference the typical meteorological years (TMY3) of more than two hundred Class I stations belonging to the NREL American National Solar Radiation database. The results of this comparison show that the model provides yearly predictions on PV system performance parameters that have low bias and uncertainty with respect to the same figures obtained with the original TMY3 hourly time series.Javier Muñoz Canojavier@ies-def.upm.esOscar Perpiñan Lamigueirooscar.perpinan@upm.es2016-10-18T11:16:04Z2017-05-19T12:32:44Zhttps://oa.upm.es/id/eprint/43686This item is in the repository with the URL: https://oa.upm.es/id/eprint/436862016-10-18T11:16:04ZUsing a nonparametric PV model to forecast AC power output of PV plantsIn this paper, a methodology using a nonparametric model is used to forecast AC power output of PV plants using as inputs several forecasts of meteorological variables from a Numerical Weather Prediction (NWP) model and actual AC power measurements of PV plants. The methodology was built upon the R environment and uses Quantile Regression Forests as machine learning tool to forecast the AC power with a confidence interval. Real data from five PV plants was used to validate the methodology, and results show that the daily production of individual plants can be predicted with a skill score up to 0.361.Marcelo Pinho AlmeidaOscar Perpiñan Lamigueirooscar.perpinan@upm.esLuis Narvarte Fernándeznavarte@ies-def.upm.es2016-07-08T08:12:00Z2017-05-19T12:32:08Zhttps://oa.upm.es/id/eprint/42462This item is in the repository with the URL: https://oa.upm.es/id/eprint/424622016-07-08T08:12:00ZComparative study of nonparametric and parametric PV models to forecast AC power output of PV plantsIn this paper, a comparison between two approaches to predict the AC power output of PV systems is carried out in terms of forecast performance. Each approach uses one of the two main types of PV modeling, parametric and nonparametric, and both use as inputs several forecasts of meteorological variables from a Numerical Weather Prediction model. Furthermore, actual AC power measurements of a PV plant are used to train the nonparametric model, to adjust the parameters of the different PV components models used in the parametric approach and to assess the quality of the forecasts. The approaches presented similar behavior, although the nonparametric approach, based on Quantile Regression Forests, showed smaller biased errors due to the machine learning tool used.Marcelo Pinho AlmeidaMikel MuñozIñigo de la ParraOscar Perpiñan Lamigueirooscar.perpinan@upm.esLuis Narvarte Fernándeznavarte@ies-def.upm.es2015-04-06T07:01:07Z2019-05-30T16:06:43Zhttps://oa.upm.es/id/eprint/34853This item is in the repository with the URL: https://oa.upm.es/id/eprint/348532015-04-06T07:01:07ZPV power forecast using a nonparametric PV modelForecasting the AC power output of a PV plant accurately is important both for plant owners and electric system operators. Two main categories of PV modeling are available: the parametric and the nonparametric. In this paper, a methodology using a nonparametric PV model is proposed, using as inputs several forecasts of meteorological variables from a Numerical Weather Forecast model, and actual AC power measurements of PV plants. The methodology was built upon the R environment and uses Quantile Regression Forests as machine learning tool to forecast AC power with a confidence interval. Real data from five PV plants was used to validate the methodology, and results show that daily production is predicted with an absolute cvMBE lower than 1.3%.Marcelo Pinho AlmeidaOscar Perpiñan Lamigueirooscar.perpinan@upm.esLuis Narvarte Fernándeznavarte@ies-def.upm.es2015-04-06T06:48:13Z2015-05-01T22:56:12Zhttps://oa.upm.es/id/eprint/34854This item is in the repository with the URL: https://oa.upm.es/id/eprint/348542015-04-06T06:48:13ZTowards downscaling of aerosol gridded dataset for improving solar resource assessment, an application to SpainSolar radiation estimates with clear sky models require estimations of aerosol data. The low spatial resolution of current aerosol datasets, with their remarkable drift from measured data, poses a problem in solar resource estimation. This paper proposes a new downscaling methodology by combining support vector machines for regression (SVR) and kriging with external drift, with data from the MACC reanalysis datasets and temperature and rainfall measurements from 213 meteorological stations in continental Spain.
The SVR technique was proven efficient in aerosol variable modeling. The Linke turbidity factor (TL) and the aerosol optical depth at 550 nm (AOD 550) estimated with SVR generated significantly lower errors in AERONET positions than MACC reanalysis estimates. The TL was estimated with relative mean absolute error (rMAE) of 10.2% (compared with AERONET), against the MACC rMAE of 18.5%. A similar behavior was seen with AOD 550, estimated with rMAE of 8.6% (compared with AERONET), against the MACC rMAE of 65.6%.
Kriging using MACC data as an external drift was found useful in generating high resolution maps (0.05° × 0.05°) of both aerosol variables. We created high resolution maps of aerosol variables in continental Spain for the year 2008.
The proposed methodology was proven to be a valuable tool to create high resolution maps of aerosol variables (TL and AOD 550). This methodology shows meaningful improvements when compared with estimated available databases and therefore, leads to more accurate solar resource estimations. This methodology could also be applied to the prediction of other atmospheric variables, whose datasets are of low resolution.F. Antonanzas-TorresA Sanz-GarciaJ. Martinez-PisónJ. AntonanzasOscar Perpiñan Lamigueirooscar.perpinan@upm.esJ. Polo2014-09-30T12:05:39Z2020-11-05T08:01:30Zhttps://oa.upm.es/id/eprint/31129This item is in the repository with the URL: https://oa.upm.es/id/eprint/311292014-09-30T12:05:39ZSignal analysis and feature generation for pattern identification of partial discharges in high-voltage equipmentThis paper proposes a method for the identification of different partial discharges (PDs) sources through the analysis of a collection of PD signals acquired with a PD measurement system. This method, robust and sensitive enough to cope with noisy data and external interferences, combines the characterization of each signal from the collection, with a clustering procedure, the CLARA algorithm.
Several features are proposed for the characterization of the signals, being the wavelet variances, the frequency estimated with the Prony method, and the energy, the most relevant for the performance of the clustering procedure.
The result of the unsupervised classification is a set of clusters each containing those signals which are more similar to each other than to those in other clusters. The analysis of the classification results permits both the identification of different PD sources and the discrimination between original PD signals, reflections, noise and external interferences.
The methods and graphical tools detailed in this paper have been coded and published as a contributed package of the R environment under a GNU/GPL license.Oscar Perpiñan Lamigueirooscar.perpinan@upm.esMiguel Ángel Sánchez-Urán GonzálezFernando Álvarez GómezJavier Ortego la MonedaFernando Garnacho Vecino2013-12-02T11:25:10Z2015-02-19T12:38:22Zhttps://oa.upm.es/id/eprint/21824This item is in the repository with the URL: https://oa.upm.es/id/eprint/218242013-12-02T11:25:10ZDownscaling of global solar irradiation in RA methodology for downscaling solar irradiation from satellite-derived databases is described using R software. Different packages such as raster, parallel, solaR, gstat, sp and rasterVis are considered in this study for improving solar resource estimation in areas with complex topography, in which downscaling is a very useful tool for reducing inherent deviations in satellite-derived irradiation databases, which lack of high global spatial resolution. A topographical analysis of horizon blocking and sky-view is developed with a digital elevation model to determine what fraction of hourly solar irradiation reaches the Earth's surface. Eventually, kriging with external drift is applied for a better estimation of solar irradiation throughout the region analyzed. This methodology has been implemented as an example within the region of La Rioja in northern Spain, and the mean absolute error found is a striking 25.5% lower than with the original database.Fernando Antoñanzas TorresF. Javier Martínez de PisónJavier AntoñanzasOscar Perpiñan Lamigueiro2013-12-02T11:14:34Z2015-05-01T22:56:05Zhttps://oa.upm.es/id/eprint/21316This item is in the repository with the URL: https://oa.upm.es/id/eprint/213162013-12-02T11:14:34ZComparative assessment of global irradiation from a satellite estimate model (CM SAF) and on-ground measurements (SIAR): a Spanish case studyAn analysis and comparison of daily and yearly solar irradiation from the satellite CM SAF
database and a set of 301 stations from the Spanish SIAR network is performed using data of
2010 and 2011. This analysis is completed with the comparison of the estimations of effective
irradiation incident on three different tilted planes (fixed, two axis tracking, north-south hori-
zontal axis) using irradiation from these two data sources. Finally, a new map of yearly values
of irradiation both on the horizontal plane and on inclined planes is produced mixing both
sources with geostatistical techniques (kriging with external drift, KED)
The Mean Absolute Difference (MAD) between CM SAF and SIAR is approximately 4% for
the irradiation on the horizontal plane and is comprised between 5% and 6% for the irradiation
incident on the inclined planes. The MAD between KED and SIAR, and KED and CM SAF is
approximately 3% for the irradiation on the horizontal plane and is comprised between 3% and
4% for the irradiation incident on the inclined planes.
The methods have been implemented using free software, available as supplementary ma-
terial, and the data sources are freely available without restrictions.Fernando Antoñanzas TorresFederico Cañizares JoverOscar Perpiñan Lamigueiro2013-09-30T08:23:58Z2015-12-31T23:56:05Zhttps://oa.upm.es/id/eprint/20815This item is in the repository with the URL: https://oa.upm.es/id/eprint/208152013-09-30T08:23:58ZEvaluation and improvement of empirical models of global solar irradiation: Case study northern SpainThis paper presents a new methodology to build parametric models to estimate global solar
irradiation adjusted to specific on-site characteristics based on the evaluation of variable im-
portance. Thus, those variables higly correlated to solar irradiation on a site are implemented
in the model and therefore, different models might be proposed under different climates. This
methodology is applied in a study case in La Rioja region (northern Spain). A new model is
proposed and evaluated on stability and accuracy against a review of twenty-two already exist-
ing parametric models based on temperatures and rainfall in seventeen meteorological stations
in La Rioja. The methodology of model evaluation is based on bootstrapping, which leads to
achieve a high level of confidence in model calibration and validation from short time series (in
this case five years, from 2007 to 2011).
The model proposed improves the estimates of the other twenty-two models with average
mean absolute error (MAE) of 2.195 MJ/m2 day and average confidence interval width (95%
C.I., n=100) of 0.261 MJ/m2 day. 41.65% of the daily residuals in the case of SIAR and 20.12% in
that of SOS Rioja fall within the uncertainty tolerance of the pyranometers of the two networks
(10% and 5%, respectively). Relative differences between measured and estimated irradiation
on an annual cumulative basis are below 4.82%. Thus, the proposed model might be useful
to estimate annual sums of global solar irradiation, reaching insignificant differences between
measurements from pyranometers.Fernando Antoñanzas TorresAndrés Sanz GarcíaF. Javier Martínez de PisónOscar Perpiñan Lamigueirooscar.perpinan@upm.es2013-09-30T08:20:07Z2015-02-28T23:56:07Zhttps://oa.upm.es/id/eprint/20817This item is in the repository with the URL: https://oa.upm.es/id/eprint/208172013-09-30T08:20:07ZElectrical Power Fluctuations in a Network of DC/AC inverters in a Large PV Plant: relationship between correlation, distance and time scaleThis paper analyzes the correlation between the fluctuations of the electrical power generated
by the ensemble of 70 DC/AC inverters from a 45.6 MW PV plant. The use of real electrical
power time series from a large collection of photovoltaic inverters of a same plant is an impor-
tant contribution in the context of models built upon simplified assumptions to overcome the
absence of such data.
This data set is divided into three different fluctuation categories with a clustering proce-
dure which performs correctly with the clearness index and the wavelet variances. Afterwards,
the time dependent correlation between the electrical power time series of the inverters is esti-
mated with the wavelet transform. The wavelet correlation depends on the distance between
the inverters, the wavelet time scales and the daily fluctuation level. Correlation values for time
scales below one minute are low without dependence on the daily fluctuation level. For time
scales above 20 minutes, positive high correlation values are obtained, and the decay rate with
the distance depends on the daily fluctuation level. At intermediate time scales the correlation
depends strongly on the daily fluctuation level.
The proposed methods have been implemented using free software. Source code is available
as supplementary material.Oscar Perpiñan Lamigueirooscar.perpinan@upm.esJavier MarcosEduardo Lorenzo Pigueiras2013-09-30T07:29:46Z2014-09-22T11:21:27Zhttps://oa.upm.es/id/eprint/20818This item is in the repository with the URL: https://oa.upm.es/id/eprint/208182013-09-30T07:29:46ZEnergy payback time of grid connected pv systems: comparison between tracking and fixed systemsA review of existing studies about LCA of PV systems has been carried out. The
data from this review have been completed with our own figures in order to calculate
the Energy Payback Time of double and horizontal axis tracking and fixed systems. The
results of this metric span from 2 to 5 years for the latitude and global irradiation ranges
of the geographical area comprised between −10◦ to 10◦ of longitude, and 30◦ to 45◦ of
latitude. With the caution due to the uncertainty of the sources of information, these
results mean that a GCPVS is able to produce back the energy required for its existence
from 6 to 15 times during a life cycle of 30 years.
When comparing tracking and fixed systems, the great importance of the PV generator
makes advisable to dedicate more energy to some components of the system in order to
increase the productivity and to obtain a higher performance of the component with
the highest energy requirement. Both double axis and horizontal axis trackers follow
this way, requiring more energy in metallic structure, foundations and wiring, but this
higher contribution is widely compensated by the improved productivity of the system.Oscar Perpiñan Lamigueirooscar.perpinan@upm.esEduardo Lorenzo PigueirasManuel Alonso Castro GilRamón Eyras Daguerre2013-09-30T07:25:46Z2014-09-22T11:21:27Zhttps://oa.upm.es/id/eprint/20819This item is in the repository with the URL: https://oa.upm.es/id/eprint/208192013-09-30T07:25:46ZOn the complexity of radiation models for PV energy production calculationSeveral authors have analysed the changes of the probability density function of the solar radiation with different time resolutions. Some others have approached to study the significance of these changes when produced energy calculations are attempted. We have undertaken different transformations to four Spanish databases in order to clarify the interrelationship between radiation models and produced energy estimations. Our contribution is straightforward: the complexity of a solar radiation model needed for yearly energy calculations, is very low. Twelve values of monthly mean of solar radiation are enough to estimate energy with errors below 3%. Time resolutions better than hourly samples do not improve significantly the result of energy estimations.Oscar Perpiñan Lamigueirooscar.perpinan@upm.esEduardo Lorenzo PigueirasManuel Alonso Castro GilRamón Eyras Daguerre2013-09-30T07:16:25Z2014-09-22T11:21:28Zhttps://oa.upm.es/id/eprint/20820This item is in the repository with the URL: https://oa.upm.es/id/eprint/208202013-09-30T07:16:25ZOn the calculation of energy produced by a PV grid-connected systemThis study develops a proposal of method of calculation useful to estimate the energy produced by
a PV grid-connected system making use of irradiance-domain integrals and denition of statistical
moment. Validation against database of real PV plants performance data shows that acceptable
energy estimation can be obtained with rst to fourth statistical moments and some basic system
parameters. This way, only simple calculations at the reach of pocket calculators, are enough to
estimate AC energy.Oscar Perpiñan Lamigueirooscar.perpinan@upm.esEduardo Lorenzo PigueirasManuel Alonso Castro Gil2013-09-30T07:07:34Z2016-03-01T14:01:03Zhttps://oa.upm.es/id/eprint/20821This item is in the repository with the URL: https://oa.upm.es/id/eprint/208212013-09-30T07:07:34ZsolaR: Solar Radiation and Photovoltaic Systems with RThe solaR package allows for reproducible research both for photovoltaics (PV) systems performance and solar radiation. It includes a set of classes, methods and functions to calculate the sun geometry and the solar radiation incident on a photovoltaic generator and to simulate the performance of several applications of the photovoltaic energy. This package performs the whole calculation procedure from both daily and intradaily global horizontal irradiation to the final productivity of grid-connected PV systems and water pumping PV systems.
It is designed using a set of S4 classes whose core is a group of slots with multivariate time series. The classes share a variety of methods to access the information and several visualization methods. In addition, the package provides a tool for the visual statistical analysis of the performance of a large PV plant composed of several systems.
Although solaR is primarily designed for time series associated to a location defined by its latitude/longitude values and the temperature and irradiation conditions, it can be easily combined with spatial packages for space-time analysis.Oscar Perpiñan Lamigueirooscar.perpinan@upm.es2012-08-30T07:59:40Z2016-04-21T11:51:53Zhttps://oa.upm.es/id/eprint/12588This item is in the repository with the URL: https://oa.upm.es/id/eprint/125882012-08-30T07:59:40ZDatos geográficos de tipo raster en REl paquete raster proporciona un gran número de funciones para procesar datos geográficos de tipo raster. El diseño de este paquete, basado en clases S4, hace el análisis de estos datos más amigable al usuario. También ha ocasionado el desarrollo de paquetes más específicos para trabajar con datos raster en R. rasterVis proporciona un conjunto de métodos de visualización e interacción gráfica, desde gráficos de nivel y contorno, histogramas o matrices de dispersión, hasta gráficos apropiados para datos espacio-temporales. gdistance proporciona nuevas clases para cálculos basados en rutas y movimientos a través de espacios discretizados. Implementa métodos como la distancia de coste e introduce métodos recientemente desarrollados basados en caminos aleatorios. En la charla se explicará el diseño del paquete raster y se demostrará las posibilidades que ofrecen estos paquetes con ejemplos concretosJacob Van EttenRober HijmansOscar Perpiñan Lamigueiro2012-08-30T07:51:49Z2016-04-21T11:51:25Zhttps://oa.upm.es/id/eprint/12583This item is in the repository with the URL: https://oa.upm.es/id/eprint/125832012-08-30T07:51:49ZsolaR: geometría, radiación y energía solar en RThe solaR package includes a set of functions to calculate the solar radiation incident on a photovoltaic generator and simulate the performance of several applications of the photovoltaic energy. This package performs the whole calculation procedure from both daily and intradaily global horizontal irradiation to the final productivity of grid connected PV systems and water pumping PV systems. The package stands on a set of S4 classes. The core of each class is a group of slots with yearly, monthly, daily and intradaily multivariate time series (with the zoo package ). The classes share a variety of methods to access the information (for example, as.zooD provides a zoo object with the daily multivariate time series of the corresponding object) and several visualisation methods based on the lattice andlatticeExtra packages.Oscar Perpiñan Lamigueiro2012-08-03T09:40:18Z2016-04-21T11:51:17Zhttps://oa.upm.es/id/eprint/12582This item is in the repository with the URL: https://oa.upm.es/id/eprint/125822012-08-03T09:40:18ZComparativa y Analisis de Variabilidad Espacial entre las Medidas de Radiacion Solar Terrestres (SIAR) y Satelitales (CMSAF)El objetivo de este trabajo es el análisis comparativo de dos fuentes de irradiación solar para el territorio peninsular español, siguiendo la iniciativa de estudios previos para otras regiones. La primera de estas fuentes corresponde a medidas de irradiación global diaria en el plano horizontal realizadas por los piranómetros de la red de estaciones meteorológicas del Sistema de Información Agroclimática del Regadío (SIAR), perteneciente al Ministerio de Medio Ambiente, Rural y Marino. Esta red está compuesta por más de 360 estaciones ubicadas en once Comunidades Autónomas de la España peninsular. La otra fuente de comparación es un conjunto de imágenes de satélite proporcionadas por la iniciativa denominada ``The Satellite Application Facility on Climate Monitoring'' (CM-SAF).Fernando Antoñanzas TorresFederico Cañizares JoverManuel Ojeda FernRafael Morales CabreraOscar Perpiñan Lamigueiro2012-02-06T08:51:34Z2016-04-20T18:27:14Zhttps://oa.upm.es/id/eprint/10219This item is in the repository with the URL: https://oa.upm.es/id/eprint/102192012-02-06T08:51:34ZCost of energy and mutual shadows in a two-axis tracking PV systemThe performance improvement obtained from the use of trackers in a PV system cannot be separated from the higher requirement of land due to the mutual shadows between generators. Thus, the optimal choice of distances between trackers is a compromise between productivity and land use to minimize the cost of the energy produced by the PV system during its lifetime.
This paper develops a method for the estimation and optimization of the cost of energy function. It is built upon a set of equations to model the mutual shadows geometry and a procedure for the optimal choice of the wire cross-section. Several examples illustrate the use of the method with a particular PV system under different conditions of land and equipment costs.
This method is implemented using free software available as supplementary material.Oscar Perpiñan Lamigueirooscar.perpinan@upm.es2010-12-01T10:09:59Z2016-04-20T13:57:51Zhttps://oa.upm.es/id/eprint/4953This item is in the repository with the URL: https://oa.upm.es/id/eprint/49532010-12-01T10:09:59ZAnalysis and synthesis of the variability of irradiance and PV power time series with the wavelet transformThe irradiance fluctuations and the subsequent variability of the power output of a PV system are analysed with some mathematical tools based on the wavelet transform. It can be shown that the irradiance and power time series are nonstationary process whose behaviour resembles that of a long memory process. Besides, the long memory spectral exponent α is a useful indicator of the fluctuation level of a irradiance time series. On the other side, a time series of global irradiance on the horizontal plane can be simulated by means of the wavestrapping technique on the clearness index and the fluctuation behaviour of this simulated time series correctly resembles the original series. Moreover, a time series of global irradiance on the inclined plane can be simulated with the wavestrapping procedure applied over a signal previously detrended by a partial reconstruction with a wavelet multiresolution analysis, and, once again, the fluctuation behaviour of this simulated time series is correct. This procedure is a suitable tool for the simulation of irradiance incident over a group of distant PV plants. Finally, a wavelet variance analysis and the long memory spectral exponent show that a PV plant behaves as a low-pass filter.Oscar Perpiñan Lamigueirooscar.perpinan@upm.esEduardo Lorenzo Pigueiras2009-10-06T06:35:22Z2016-04-20T07:02:30Zhttps://oa.upm.es/id/eprint/1843This item is in the repository with the URL: https://oa.upm.es/id/eprint/18432009-10-06T06:35:22ZStatistical analysis of the performance and simulation of a two-axis tracking PV systemThe energy produced by a photovoltaic system over a given period can be estimated from the incident radiation at the site where the Grid Connected PV System (GCPVS) is located, assuming knowledge of certain basic features of the system under study. Due to the inherently stochastic nature of solar radiation, the question “How much energy will a GCPVS produce at this location over the next few years?” involves an exercise of prediction inevitably subjected to a degree of uncertainty. Moreover, during the life cycle of the GCPVS, another question arises: “Is the system working correctly?”. This paper proposes and examines several methods to cope with these questions. The daily performance of a PV system is simulated. This simulation and the interannual variability of both radiation and productivity are statistically analyzed. From the results several regression adjustments are obtained. This analysis is shown to be useful both for productivity prediction and performance checking exercises. Finally, a statistical analysis of the performance of a GCPVS is carried out as a detection method of malfunctioning parts of the system.Oscar Perpiñan Lamigueirooscar.perpinan@upm.es