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Concept Development and Automation for a Benchmark Oriented Weak Point Analysis of Wind Turbines

: Pape, Kai

Fulltext urn:nbn:de:0011-n-5693550 (3.0 MByte PDF)
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Created on: 17.12.2019

Kassel, 2019, VI, 64 pp.
Kassel, Univ., Bachelor Thesis, 2019
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
6. EFP; 0324031A; WInD-Pool
Bachelor Thesis, Electronic Publication
Fraunhofer IEE ()
wind turbines; key performance indicator; KPI; Benchmark

The Windenergy-Information-Data-Pool (WInD-Pool) is a knowledge database that enables a benchmark oriented performance analysis of wind turbines on the basis of the key performance indicators commonly used in the wind industry. Currently, it is possible to carry out this analysis manually within the WInD-Pool Operator-Portal, that was developed as part of the project. However, this process is associated with a great expenditure of time. The objective of this work was to develop a concept for an automated weak point analysis in order to support a targeted evaluation of the stakeholder’s portfolios. As a basis for this concept the pre-calculated key performance indicators of the WInD-Pool are used and implemented into a benchmark system. The benchmark system enables evaluations based on different references (e.g. WInD-Pool total, operator, wind farm, etc.). In order to meet the stakeholder’s requirements regarding the definition of critical performance within the evaluations, both the number and composition of the aggregation levels as well as the threshold value defined as critical can be adapted. During the analysis, the wind turbine-specific key performance indicators are validated and examined for criticality by comparing it against the defined critical threshold within each chosen aggregation level. Out of this, the wind turbine-specific results are accumulated individual within a weighting function that calculates a criticality measurement. This measurement is used to generate a relevance sorted wind turbine-list that provides an overview of the wind turbines and their criticality. The results of this work include a report template that exemplarily presents the results of the analysis concept. The time saving resulting from the automation are estimated at 60 % compared to the manual analysis.