A General-Purpose Postprocessor for Wind Turbine Data Analysis
by Marshall Buhl
supported by Greg Hayman
National Wind Technology Center
GPP (pronounced "jeep") is a general-purpose postprocessor for wind turbine data analysis. We developed GPP to postprocess test data and simulation predictions. GPP reads data into large arrays and allows the user to run many types of analyses on the data stored in memory. It runs on inexpensive computers common in the wind industry. One can even use it on a laptop in the field.
We wrote the program in such a way as to make it easy to add new types of analyses and to port it to many types of computers. Although GPP is very powerful and feature-rich, it is still very easy to learn and to use. Exhaustive error trapping prevents one from losing valuable work due to input errors.
GPP is an interactive programs, in that it prompts the user for what to do next. Although one can record answers to the prompts in a file and redirect it into GPP to save time on repetitive tasks, it may be easier to use Crunch for batch-type processing. Crunch has many (but not all) of GPP's features and some that GPP does not have.
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