Abstract
GPP (pronounced 'jeep') is a general-purpose postprocessor for wind turbine data analysis. The original author, Marshall Buhl, a member of the National Wind Technol-ogy Center (NWTC) of the National Renewable Energy Labora-tory (NREL), developed GPP to postprocess test data and simula-tion pre-dic-tions. Norman Weaver of InterWeaver Consulting is responsible for coding most of the recentadditions to Version 6. 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 inex-pensive 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 verypowerful and feature rich, it is still very easy to learn and easy to use. Exhaustive error trapping prevents one from losing valuable work caused by input er-rors. We be-lieve that GPP can make a significant impact on engineering productivity in the wind industry.;
Original language | American English |
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Number of pages | 41 |
State | Published - 1999 |
Bibliographical note
Also available electronically.NREL Publication Number
- NREL/TP-500-25815