Predictive techniques applied to geothermal power plants data
Cideos Nunez, Oscar F.. Predictive techniques applied to geothermal power plants data. University of Iceland, 2015.
Document type:
Thesis
Collection:
-
Sub-type Master's thesis Author Cideos Nunez, Oscar F. Title Predictive techniques applied to geothermal power plants data Year 2015 University University of Iceland Department Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Place of Publication Reykjavik Publisher United Nations University Geothermal Training Programme Pages 47 Language eng Abstract An extensive operational database is usually present in any power plant and geothermal power plants are no exception, due to the amount of information that is constantly collected from sensors and measurement parameters during the normal operation. As time goes on power plants start becoming a unique structure due to the different components in the plant and also the added efficiencies that keep changing over the any component lifetime. Thermodynamic models while always reliable tend to be less accurate over time. In this research a different approach is tried on predicting a component behavior. The idea behind this research was to predict a component output (a turbine in this case) using a series of models based on all the data collected relevant to that particular component. Certain data processing needs to be done in order to start the analysis. This data processing is mostly to adapt the algorithms to the data analyzed, otherwise the process becomes straightforward. An event prediction model based on geothermal field reports was also considered to try to determine what causes anomalous behavior in the power plant. UNBIS Thesaurus GEOTHERMAL ENERGY
POWER PLANTS
THERMAL POWER PLANTS
DATA ANALYSISKeyword Data mining
Decision trees
Linear regression
Big data
Big datasets
Operational dataCopyright Holder United Nations University Geothermal Training Programme Copyright Year 2015 Copyright type Fair use permitted ISBN 9789979683766 -
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