@ARTICLE{Abella.Lorenzo.ea2003,
  author = {Abella, M. Alonso and Lorenzo, E. and Chenlo, F.},
  title = {PV water pumping systems based on standard frequency converters},
  journal = {Progress in Photovoltaics: Research and Applications},
  year = {2003},
  volume = {11},
  pages = {179--191},
  number = {3},
  abstract = {Standard frequency converters (FCs) are evaluated in this work as
	a universal solution for photovoltaic (PV) water pumping systems.
	FCs can be connected directly to a PV generator to power centrifugal
	submersible pumps driven by three-phase asynchronous induction motors.
	In comparison with dedicated products, the use of standard FCs and
	centrifugal motopumps encompasses several advantages: power range,
	broad range of products and technological independence. This paper
	describes the main rules to implement standard FCs in PV pumping
	systems, and presents a model to estimate its performance from standard
	pumps manufacturers? data. The experimental validation of the model
	is also presented. Copyright © 2003 John Wiley \& Sons, Ltd.},
  doi = {10.1002/pip.475},
  file = {Abella.Lorenzo.ea2003.pdf:Abella.Lorenzo.ea2003.pdf:PDF},
  issn = {1099-159X},
  owner = {oscar},
  refid = {Abella.Lorenzo.ea2003},
  timestamp = {13.03.2010}
}

@ARTICLE{Huld.Suri.ea2006,
  author = {Thomas A. Huld and Marcel Súri and Ewan D. Dunlop and Fabio Micale},
  title = {Estimating average daytime and daily temperature profiles within
	Europe},
  journal = {Environmental Modelling \& Software},
  year = {2006},
  volume = {21},
  pages = {1650 - 1661},
  number = {12},
  abstract = {We present a methodology for estimating the average profiles of daytime
	and daily ambient temperature from a spatially-continuous database
	for any location within Europe. The primary database with 1-km grid
	resolution was developed by interpolation of monthly averages of
	7 daily values of temperature: minimum and maximum and 5 measurements
	at 3-h intervals from 6:00 to 18:00 hours Greenwich Mean Time. With
	a little over 800 meteorological stations available, we obtained
	a cross-validation root mean square error of 1.0-1.2 °C, while the
	interpolation error is lower, at 0.5-0.7 °C. A polynomial fit was
	applied to estimate the daytime temperature profile (assuming only
	time from sunrise to sunset) from the interpolated 3-h measurements
	for each month. The curve fit coefficients make it possible to calculate
	a number of derived data, such as average daytime temperature, maximum
	daytime temperature and time of its occurrence within the region.
	An example demonstrates the coupling of the simulated daytime temperature
	profile with a model for assessing the relative efficiency of electricity
	generation by crystalline silicon photovoltaic modules. As an alternative
	to the polynomial fitting, a double-cosine method was applied to
	enable calculation of daily (24-h) temperature profiles for each
	month using interpolated minimum and maximum temperatures. Compared
	to the polynomial curve-fitting, this method does not offer lower
	errors, but it provides data which are more suitable for estimation
	of solar thermal heating or calculation of degree days for building
	heating/cooling.},
  doi = {DOI: 10.1016/j.envsoft.2005.07.010},
  file = {Huld.Suri.ea2006.pdf:Huld.Suri.ea2006.pdf:PDF},
  issn = {1364-8152},
  keywords = {Daytime and daily temperatures}
}

@ARTICLE{Martin.Ruiz2001,
  author = {Martin, N. and Ruíz, J. M.},
  title = {Calculation of the PV modules angular losses under field conditions
	by means of an analytical model},
  journal = {Solar Energy Materials \& Solar Cells},
  year = {2001},
  volume = {70},
  pages = {25--38},
  abstract = {Photovoltaic (PV) modules in real operation present angular losses
	in reference to their behaviour in standard test conditions, due
	to the angle of incidence of the incident radiation and the surface
	soil. Although these losses are not always negligible, they are commonly
	not taken into account when correcting the electrical characteristics
	of the PV module or estimating the energy production of PV systems.
	The main reason of this approximation is the lack of easy-to-use
	mathematical expressions for the angular losses calculation. This
	paper analyses these losses on PV modules and presents an analytical
	model based on theoretical and experimental results. The proposed
	model "ts monocrystalline as well as polycrystalline and amorphous
	silicon PV modules, and contemplates the existence of super"cial
	dust. With it angular losses integrated over time periods of interest
	can be easily calculated. Monthly and annual losses have been calculated
	for 10 di!erent European sites, having diverse climates and latitudes
	(ranging from32 3 to 523), and considering di!erent module tilt angles.},
  file = {Martin.Ruiz2001.pdf:Martin.Ruiz2001.pdf:PDF},
  keywords = {Angular losses, Optical losses, PV modules, Reflectance},
  owner = {oscar},
  refid = {Martin.Ruíz2001},
  timestamp = {13.03.2010}
}

@INPROCEEDINGS{Page1961,
  author = {Page, J. K.},
  title = {The calculation of monthly mean solar radiation for horizontal and
	inclined surfaces from sunshine records for latitudes 40N-40S},
  booktitle = {U.N. Conference on New Sources of Energy},
  year = {1961},
  volume = {4},
  number = {98},
  pages = {378--390},
  owner = {oscar},
  refid = {Page1961},
  timestamp = {13.03.2010}
}

@INPROCEEDINGS{Panico.Garvison.ea1991,
  author = {Panico, D. and Garvison, P. and Wenger, H. J. and Shugar, D.},
  title = {Backtracking: a novel strategy for tracking PV systems},
  booktitle = {IEEE Photovoltaic Specialists Conference},
  year = {1991},
  pages = {668--673},
  file = {Panico.Garvison.ea1991.pdf:Panico.Garvison.ea1991.pdf:PDF},
  keywords = {backtracking, PV systems, tracking},
  owner = {oscar},
  refid = {Panico.Garvison.ea1991},
  timestamp = {13.03.2010}
}

@ARTICLE{Perpinan2009,
  author = {Perpiñán, O.},
  title = {Statistical analysis of the performance and simulation of a two-axis
	tracking PV system},
  journal = {Solar Energy},
  year = {2009},
  volume = {83},
  pages = {2074--2085},
  number = {11},
  abstract = {The 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.},
  doi = {10.1016/j.solener.2009.08.008},
  file = {Perpinan2009.pdf:Perpinan2009.pdf:PDF},
  issn = {0038-092X},
  keywords = {Statistical analysis},
  owner = {oscar},
  refid = {Perpiñán2009},
  timestamp = {13.03.2010}
}

@PHDTHESIS{Perpinan2008,
  author = {Perpiñán, O.},
  title = {Grandes Centrales Fotovoltaicas: producción, seguimiento y ciclo
	de vida},
  school = {UNED},
  year = {2008},
  abstract = {Las medidas legislativas que han entrado en vigor en nuestro país
	en los últimos años han supuesto el caldo de cultivo para que los
	Sistemas Fotovoltaicos de Conexión a Red (SFCR) hayan dejado de ser
	productos meramente energéticos y de marcado carácter medioambiental
	para transformarse en productos de indudable atractivo desde el punto
	de vista económico. La combinación entre gran potencia de sistemas,
	primas a la venta de energía y fuerte capitalización inicial del
	sistema han provocado la entrada de entidades bancarias en numerosos
	proyectos. La figura más frecuentemente utilizada en la financiación
	es el denominado project finance, que consiste básicamente en saldar
	las deudas de capital e intereses mediante los ingresos por energía
	generada. La energía producida por un sistema fotovoltaico a lo largo
	de un determinado periodo puede ser estimada a partir de valores
	históricos de la radiación incidente en el lugar donde se ubica el
	SFCR, asumiendo el conocimiento de ciertas características básicas
	del sistema en estudio. Debido al carácter intrínsecamente aleatorio
	de la radiación solar, la pregunta âÂ¿cuánto genera un SFCR en
	este lugar en los próximos años?â implica un ejercicio de predicción
	inevitablemente sometido a un cierto grado de incertidumbre. A partir
	de lo aprendido de una revisión del estado del arte en cuanto a tratamiento
	de la radiación y estimación de la energía, en este documento se
	presenta un método de estimación, denominado Método de los Momentos
	Estadísticos, que será sometido a validación contra datos de operación
	real de dos SFCR. A continuación, se empleará este método para discutir
	acerca de la complejidad que un modelo de radiación necesita en una
	estimación de producción de energía anual. El concepto de un SFCR
	como un producto de inversión con rentabilidad ha acelerado el desarrollo
	de múltiples soluciones de seguimiento. Esta búsqueda en pos de incrementar
	la productividad de los SFCR tiene una contrapartida: en general,
	cuanto más exacto es el método de seguimiento, menos eficiente es
	su aprovechamiento de terreno debido a sombras mutuas entre seguidores
	cercanos. En este documento se desarrollan un conjunto de ecuaciones
	para modelar el comportamiento de las diferentes técnicas de seguimiento.
	Este primer paso servirá para generar estimaciones de energía producida
	por cada uno de ellos, que serán recogidas en mapas y gráficas comparativas
	de productividad. A continuación se analizará el impacto de las sombras
	mutuas entre seguidores, para generar herramientas de decisión que
	permitan definir las separaciones entre seguidores, como un compromiso
	entre ocupación de terreno y energía producida. Por último, el estudio
	de un SFCR se cierra analizando su capacidad para devolver la energía
	que ha sido empleada para fabricarlo y hacerlo funcionar. Este análisis
	de ciclo de vida restringido al comportamiento energético se aplica
	a sistemas estáticos, de eje horizontal y doble eje, generando mapas
	de tiempo de retorno energético, como una herramienta más de decisión
	entre diferentes alternativas tecnológicas.},
  file = {Perpinan2008.pdf:Perpinan2008.pdf:PDF;Perpinan2008b.pdf:Perpinan2008b.pdf:PDF},
  owner = {oscar},
  refid = {Perpiñán2008},
  timestamp = {13.03.2010},
  url = {http://e-spacio.uned.es/fez/view.php?pid=tesisuned:IngInd-Operpinan}
}

@ARTICLE{Zeileis.Grothendieck2005,
  author = {Zeileis, A. and Grothendieck, G.},
  title = {zoo: S3 Infrastructure for Regular and Irregular Time Series},
  journal = {Journal of Statistical Software},
  year = {2005},
  volume = {14},
  pages = {1--27},
  number = {6},
  url = {http://www.jstatsoft.org/v14/i06/}
}

@BOOK{Sarkar2010,
  title = {Lattice: Multivariate Data Visualization with R},
  publisher = {Springer},
  year = {2008},
  author = {Sarkar, D.},
  address = {New York},
  note = {ISBN 978-0-387-75968-5},
  url = {http://lmdvr.r-forge.r-project.org}
}

@MANUAL{Sarkar.Andrews2010,
  title = {latticeExtra: Extra Graphical Utilities Based on Lattice},
  author = {Sarkar, D. and Andrews, F.},
  year = {2010},
  note = {R package version 0.6-12/r148},
  url = {http://R-Forge.R-project.org/projects/latticeextra/}
}


@BOOK{Perpinan2011,
  title =	 {Energía Solar Fotovoltaica},
  year =	 {2011},
  author =	 {Perpiñán, O.},
  url =		 {http://procomun.wordpress.com/libroesf}
}


@ARTICLE{Collares-Pereira.Rabl1979,
  author = {Collares-Pereira, M. and Rabl, Ari},
  title = {The average distribution of solar radiation: correlations between
	diffuse and hemispherical and between daily and hourly insolation
	values},
  journal = {Solar Energy},
  year = {1979},
  volume = {22},
  pages = {155--164},
  file = {Collares-Pereira.Rabl1979.pdf:Collares-Pereira.Rabl1979.pdf:PDF},
  keywords = {Difusse insolation},
  owner = {oscar},
  refid = {Collares-Pereira.Rabl1979},
  timestamp = {13.03.2010}
}