Several 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.
%0 Journal Article
%1 Perpinan.Lorenzo.ea2008
%A Perpiñán, O.
%A Lorenzo, E.
%A Castro, M. A.
%A Eyras, R.
%D 2008
%J Solar Energy
%K Energy PV Probabilistic Radiation calculation, density function, grid-connected statistics systems,
%N 2
%P 125--131
%T On the complexity of radiation models for PV energy production
calculation
%V 82
%X Several 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.
@article{Perpinan.Lorenzo.ea2008,
abstract = {Several 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.},
added-at = {2011-09-01T13:26:03.000+0200},
author = {Perpiñán, O. and Lorenzo, E. and Castro, M. A. and Eyras, R.},
biburl = {https://www.bibsonomy.org/bibtex/22e4c0ce162d20ef9c53665e8a96b3b2e/procomun},
file = {Perpinan.Lorenzo.ea2008.pdf:Perpinan.Lorenzo.ea2008.pdf:PDF},
interhash = {bc0e73bb207493ab9e4a82ce6ad18367},
intrahash = {2e4c0ce162d20ef9c53665e8a96b3b2e},
journal = {Solar Energy},
keywords = {Energy PV Probabilistic Radiation calculation, density function, grid-connected statistics systems,},
number = 2,
owner = {oscar},
pages = {125--131},
refid = {Perpiñán.Lorenzo.ea2008},
timestamp = {2011-09-02T08:25:25.000+0200},
title = {On the complexity of radiation models for {PV} energy production
calculation},
volume = 82,
year = 2008
}