To know the weather and especially the wind in advance, allows us to carry out a better management and maintenance of our solar plants. Abengoa, therefore, is working on the creation and development of wind predictive models.
In solar energy plants, the area which is composed of the devices with the purpose of capturing or concentrating the sun’s energy, is the solar field (thermosolar concentration with collectors
for tower technology or photovoltaic
). It consists of a large number of structures, called reflectors or modules, which may occupy areas up to 1,000 hectares. The cost of these structures is approximately 10% of the total budget of the plant, so the sizing
of them and, especially, their management and maintenance
are essential.The main agent which determines the structures design and management of the solar field is the wind
, which has a haphazard nature
that is difficult to predict. In Abengoa, we design the structures in order to resist all kinds of adverse conditions when they are in their most favorable position. However, during plant operation, sometimes, these may be vulnerable which, in turn, may lead to damage taking place. It is therefore essential to anticipate sudden weather changes
and thus efficiently bring down all structures to a “defensive position” where they can remain during a storm.
is working on the design and implementation of predictive models
to anticipate real-time
weather events to protect the solar fields. These mathematical models are able to compile statistics
from data recorded in anemometers and estimate at a certain time horizon, the maximum wind speed reached.
This estimate will let us know if there is a threat of structural risk, in which case a signal to all structures of the solar field is sent in order for them to be positioned safely.The predictive models use tested and powerful mathematical tools such as; statistical characterization
of the elements, the setting of parameters
using numerical techniques or prognosis using the probability theory
and the Monte Carlo method.
The result enables a functional, comprehensive, efficient, dynamic and automated solar field management to take place, which ensures the structural integrity of the solar fields while optimizing production at the plant in operation.