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1. ORCAFLEX OC4 SEMI SUBMERSIBLE GENERATOR
2. ORCAFLEX OC4 SEMI SUBMERSIBLE FULL
3. ORCAFLEX OC4 SEMI SUBMERSIBLE SOFTWARE
4. ORCAFLEX OC4 SEMI SUBMERSIBLE WINDOWS

ORCAFLEX OC4 SEMI SUBMERSIBLE WINDOWS

This can be compiled from source here or precompiled Windows binaries are available for download.

ORCAFLEX OC4 SEMI SUBMERSIBLE GENERATOR

The average variance in generator power here is about 5 times lower than the corresponding value for OC4 P2 LC3.2.This repository contains the model data for the 15-MW offshore reference turbine developed within IEA Wind Task 37. Unlike OC4 P2 LC3.2, where the mean wind speed is lower (Vhub=18.0m/s rather than 11.4m/s), the wind speed is this case is sufficiently high to keep the turbine operating at its rated power. The variance in generator power is extremely small. Based on OC4 P2 LC3.2, it seems likely that the discrepancy probably results from an incorrectly prescribed axis definition for the output.

ORCAFLEX OC4 SEMI SUBMERSIBLE SOFTWARE

The variance in tower base moment shows reasonable agreement across the different software products, with the exception of HAWC2 (DTU) which appears to be inconsistent with the others. However the response predicted by Flexcom shows good general agreement with the average value. The variance in pitch shows some variation across the different software products. Results from Charm3D+FAST (ABS) show a surge variance which is larger than the other software tools. The variance in surge shows some variation across the different software products, again possibly caused by different approaches to modelling drift forces. Hence many of the software tools, including Flexcom, predict exactly 5MW. Very close agreement is shown between all software tools for the mean generator power. The inclusion of wind tends to improve the correlation in pitch results, because the wind thrust force is much larger than the hydrodynamic drift force, and hence the mean pitch offset is significantly greater when wind is included.Ĭlose agreement is shown between all software tools, including Flexcom, for the mean tower base moment. The inclusion of wind tends to improve the correlation in surge results, because the wind thrust force is much larger than the hydrodynamic drift force, and hence the mean surge offset is significantly greater when wind is included.Ĭlose agreement is shown between all software tools, including Flexcom, for the mean pitch response. Regardless, some variation is expected depending on how drift forces are being modelled (refer to OC4 P2 LC2.1 for further information). (2014), the reasons for this are not clear, but it could be something as simple as a mistake in the presentation of results.

ORCAFLEX OC4 SEMI SUBMERSIBLE FULL

Although the full extent is not shown below, this is about 5 times the average of the others. The mean surge shows reasonable agreement across the different software products, with the exception of DeepLinesWT (Principia) which appears to be inconsistent with the others. Note that results from Bladed (GH) were not found in the IEA Wind Task 30 results library, so we have used results from Bladed Advanced Hydro Beta (GH) instead in this comparison. Generally speaking, Flexcom shows good agreement with the other software tools. Specifically, the mean and variance of platform surge, platform pitch, bending moment at the base of the tower, and generator power are considered. (2014), comparisons are presented here in a similar manner to the preceding load case. Although this load case is not discussed by Robertson et al. This load case is very similar to OC4 P2 LC3.2, but the mean wind speed is higher in this case (Vhub=18.0m/s rather than 11.4m/s).