energy: mcp
EAPC Explains the MCP Module
Function
The MCP (Measure-Correlate-Predict) module is for long-term correction of measured wind data on site based on correlation with long-term reference data.
Calculation Model
Linear Regression MCP
The (Linear) regression tool enables the user to inspect the fit directly through an animated graph. If the fit is not satisfactory, a wide range of parameters may be fine-tuned to provide a better fit. The regression tool is not limited to linear regression, but also higher order polynomials may be used in modeling wind speeds and wind veer.
Matrix MCP
The matrix method in WindPRO models the changes in wind speed and wind direction through a joint distribution fitted on the 'matrix' of wind speed bins and wind direction bins. The user may choose to either use polynomials fitted to the data statistics or – where appropriate – to use the measured samples directly when doing the matrix MCP.
Weibull Scale MCP
The Weibull Scale method is a very simple empirical method, which does its manipulation directly on the Weibull form and scale parameters (A,k) as well as on the frequency distribution.
The Weibull scale method has the advantage, that it will match the nature of the wind at most places, but beware that application of this method should be done with caution on locations with significant non-Weibull distributions.
Wind Index MCP
The index correlation method typically uses monthly averages of the energy yield for the MCP analysis, thus disregarding the directional distribution of the winds. Even though this method may seem rather crude and primitive when comparing to other MCP methods, it has its advantages in stability and performance – even in the cases where other MCP methods seem to fail.The Wind Index MCP method offers the opportunity to calculate the wind indexes using real power curves from the wind turbines included in the wind turbine catalogue in WindPRO. Also a generic power curve may be chosen.
Access to On-line Long-term Reference Data
Within the module, users can download NCEP/NCAR wind data sets from 1948 until now in a grid resolution of 2.5-degree longitude/latitude. These data can be imported directly into a Meteo object and used as long-term reference data.
Necessary Input Data (Objects)
Please note that the objects are entered in the WindPRO module Basis, where objects are put directly on a map and properties applied. The MCP module uses the Meteo object as a data container:
- Meteo object: The data container for wind data either as time series data, table data or Weibull distribution parameters.
Results and Calculation Reports
The "end result" from the MCP analysis is a wind statistic generated with WAsP based on a terrain description and the long term corrected site data. This can be used directly in a PARK calculation or for a wind resource map calculation. For non-WAsP use or further analyses, the long term corrected site data can be exported as time series.
A very strong feature of the MCP module is the graphic comparison between local measurements and concurrent predictions based on long-term reference and calculated transfer function from any of the four methods.
Numerous reports are available, including a generalized overview report and a detailed report for each method used.