Title of article :
Simulation of global solar radiation
based on cloud observations
Author/Authors :
Jimmy S.G. Ehnberg *، نويسنده , , Math H.J. Bollen، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2005
Abstract :
Astochastic model for simulating global solar radiation on a horizontal surface has been developed for use in power
systems reliability calculations. The importance of an appropriate model for global solar radiation has increased with
the increased use of photovoltaic power generation. The global solar radiation shows not only regular yearly and daily
variations but also a random behaviour. The yearly and daily variations can be described in a deterministic way while
the random behaviour has a high correlation with the state of the atmosphere. The astronomic effects can easily be
described mathematical with only some minor simplifications but the atmospheric effects are more complicated to
describe. The transmittivity of solar radiation in the atmosphere depends on various factors, e.g. humidity, air pressure
and cloud type. By using cloud observations as input for the simulations, the local meteorological conditions can be
accounted for. The model is usable for any geographical location if cloud observations are available at the location
or at locations with similar climatological conditions. This is especially useful for development countries where longterm
solar radiation measurement can be hard to obtain. Cloud observations can be performed without any expensive
equipment and have been a standard parameter for many years throughout the world. Standard observations are done
according to the Oktas-scale. It is the interval between observations that sets the resolution of the simulation: the observations
are normally only every hour or every third hour. The model can easily be combined with cloud coverage simulations,
has been proposed, for a more general model. For some calculations higher resolution may be needed. This can
be obtained by including a stochastic model for the short-term variations and simple model has been proposed. Errors
and limitations of the model are estimated and discussed.
2004 Elsevier Ltd. All rights reserved.
Keywords :
Markov model , Cloud coverage , Solar power
Journal title :
Solar Energy
Journal title :
Solar Energy