Literature on renewable energy alternative of wind turbines does not include a multidimensional benchmarking studythat can help investment decisions as well as design processes. This paper presents a data-centric analysis of commercial on-shore wind turbines and provides actionable insights through analytical benchmarking through Data Envelopment Analysis (DEA), visual data analysis, and statistical hypothesis testing. The paper also introduces a novel visualization approach for the understanding and the interpretation of reference sets, the set of efficient wind turbines that should be taken as benchmark by inefficient ones.
Ertek, G., Tunç, M.M., Kurtaraner, E., Kebude, D., 2012, ‘Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Analysis’, INISTA 2012 Conference. July 2-4, 2012, Trabzon, Turkey. (indexed in IEEE Electronic Library)
Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.
Download
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Analysis
Download SUPPLEMENT
ertek_et_al_wind_turbine
- Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References 2006th Editionhttp://amzn.to/2rjTPxH
- Information Visualization: Design for Interaction (2nd Edition)
- Wind Turbine Technology (Go Green with Renewable Energy Resources) 1st Edition