Dataset for European Installed Offshore Wind Turbines (until year end 2017)

2018-06-11T08:18:43Z (GMT) by Debora Cevasco Maurizio Collu
<div><b><u>Introduction and aim</u></b></div><div>This dataset is aimed to list and collect the main characteristics of the European Offshore Wind Farms (to end of 2017). </div><div>Firstly, this work wants to update and extend the one started by Zhang et al. [1], who gathered the main information and identified the drivetrain types for some of offshore EU wind turbines’ installed, until the end of 2011.</div><div>Secondly, the wind turbines belonging to the population studied by Carroll et al. [2], [3] (in their reliability database), are identified and analysed more in details.</div><div><br></div><div><u><b>Dataset organisation</b></u></div><div>The dataset is organised in an Excel worksheet, consisting of:</div><div><b><i>sheet 1 </i>- “Legend”</b></div><div>Acronyms and colour coded legend are explained. Additionally the following acronyms are used in the Excel work and throughout this introduction:</div><div>- WT(s) = Wind Turbine(s)</div><div>- WF(s) = Wind Farm(s)</div><div><b><i>sheet 2</i> - "EU WFs”</b><br></div><div>Data from Zhang et al. [1] have been verified and updated by accessing the main information of the wind farms (see link in reference in the section). </div><div>In particular, for each project, the following information are reported:</div><div> - WF name, capacity and country</div><div> - number of WTs</div><div> - WTs manufacturer/type</div><div> - type of control, gearbox, generator, and converter</div><div> - year when WF was online</div><div> - average distance from shore</div><div> - current status of the WF</div><div><b><i>sheet 3 </i>- "EU WFs (Fully-Grid Connected)”</b><br></div><div>The fully-grid connected, and still in operation, wind farms are selected out of the ones listed in <i>sheet 1</i>. </div><div>In the main table (<i>Range(“A1:N83”)</i>), the WTs are identified in the four drivetrain types (and type D sub-types), defined by Perez et al. [4] (<i>N2:N83</i>). </div><div>A table reporting the acronyms for the “if” cycle on the WT characteristics (speed, gearbox and generator) is reported in cells <i>Range(“AH2:AL11”)</i>.</div><div>Based on this latter, cells in <i>Range(“Q1:AD84”)</i> contain “if” cycles for identifying the share of each drivetrain type on the total installed capacity. The results are plotted in a pie chart, gathering type A and B. </div><div>Finally, the table in Range<i>(“AS1:CA86”)</i> wants to verify how much of the actual installed (fully-grid connected) capacity is accounted in this dataset. WindEurope report on offshore wind energy statistics, to the end of 2017 [5], is used as a reference, and the sharing to the total capacity of the several manufacturers and of the top 5 countries and is checked.</div><div><b><i>sheet 4 - </i>“Strath. Stats (population info)”</b><br></div><div>For a deeper understanding of the population analysed by Carroll et al. [2], the WTs with the following characteristics have been outlined (by the use of “if” cycles on the main table of <i>sheet 2</i>): </div><div> - at least 3 year old structure (in 2016)</div><div> - geared WTs with an induction machine (either SGIG, WRIG or DFIG)</div><div>Among these, structures between 3 and 5 years old and above 5 years old are distinguished as done by the reference.</div><div><br></div><div><b><u>References</u></b></div><div><b>[1]</b> Z. Zhang, A. Matveev, S. Øvrebø, R. Nilssen, and A. Nysveen, “State of the art in generator technology for offshore wind energy conversion systems,” in 2011 IEEE International Electric Machines & Drives Conference (IEMDC), 2011, pp. 1131–1136.</div><div><b>[2]</b> J. Carroll, A. McDonald, and D. McMillan, “Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines,” Wind Energy, vol. 19, pp. 1107–1119, 2016.</div><div><b>[3]</b> J. Carroll, A. McDonald, I. Dinwoodie, D. McMillan, M. Revie, and I. Lazakis, “Availability, operation and maintenance costs of offshore wind turbines with different drive train configuration,” Wind Energy, vol. 20, no. July 2016, pp. 361–378, 2017.</div><div><b>[4]</b> J. M. Pinar Pérez, F. P. García Márquez, A. Tobias, and M. Papaelias, “Wind turbine reliability analysis,” Renew. Sustain. Energy Rev., vol. 23, pp. 463–472, 2013.</div><div><b>[5] </b>WindEurope, “Offshore wind in Europe: Key trends and statistics 2017,” 2018.</div><div><br></div><div> </div><div>The links below were used to extract the majority of the information about the wind farms and their wind turbines, respectively.</div><div><b>https://www.4coffshore.com/windfarms/<br></b></div><div><b>https://en.wind-turbine-models.com/turbines</b><br></div><div>Moreover, for these latter, a .zip folder with additional open access information (collected from various sources) is uploaded.</div>