After looking briefly into each of these, we
limited the scope of our
project, working on long term predictions using MCP method, renamed as
traditional MCP method and another method called it as modified MCP
method. Differences in both the methods are detailed below.
In nutshell, we can say that the modified MCP method
is super set of traditional MCP method. We
received the wind data
for four meteorological sites and we
classified them on the basis of
their terrain categories.
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Here we select any two met
stations to take one as the meteorological site and other as the pseudo
wind
farm site. We make four such pairs of sites on the basis of their
terrain which are classified as either 'flat' or 'complex'.The purpose
is to study the variation in correlation parameters for
Measure-Correlate-Predict (MCP) method between the wind speed data of
pseudo wind farm site and reference site. We have 20 years (1978~1997)
wind data available for these met sites. We selected first 10 years to
calculate the correlation parameters and next 10 years to calculate the
energy available in proposed pseudo wind farm.
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We selected the meteorological site and pesudo wind farm
site and carry out linear regression analysis for those years for which
Pearson-Correlation parameter is equal or greater than 0.7.We compare
the energy
output between conventional MCP method and modified MCP method by using
the obtained linear regression parameters. In modified MCP method, the
number of years are considered 5 to calculate the average correlation
parameters (slope and intercept). Calculation of energy is carried by
integrating the power, which is function of cube of free stream
velocity, over a year.

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Above bar graph shows that modified method
predicts well in comparision to traditional MCP method. Below graph
depicts variation in energy estimates for a particular pair of sites in
question with respect to increasing number of years in modified MCP
method.
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Now wish to address one more questions. Is five
year period is
reasonable enough to capture the uncertainty in estimation of energy
output from particular pair of site. Here is our observation. There
is significant impact in the assessment of energy yield if the number
of years is increased from one to three or more for collection of wind
data.
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We supported our
work with a case study using the data from a
real wind farm. It shows
how the power produced from the same site can vary dramatically from
year to year. |