Table · dataset · 2026
Supplementary file 1_Architecture-informed O&M modelling of modular X-Rotor configurations for offshore wind: a two- and three-module comparison.pdf
Listed in figshare
<p>Offshore wind farms located further from shore face increasing operations and maintenance (O&M) challenges because access becomes more weather-restricted and vessel logistics become more complex.
Description
This study evaluates how extending the established two-module X-Rotor configuration to a three-module architecture affects O&M performance while maintaining an approximately constant turbine rating of 5 MW. The analysis adopts the StrathX-OM modelling framework and first reproduces the published 100 km offshore baseline case as a model-consistency check, rather than as an independent field validation, before extending the model through transparent subsystem mapping, component-exposure scaling, repair-resource treatment, and reduced-capacity production logic.
This approach isolates the O&M implications of redistributing rated power across three modular secondary power take-off units instead of increasing the overall turbine rating. The base-case results show that increasing the number of modules raises the total failure rate from 6.97 to 7.73 failures per turbine per year because of increased component exposure. However, the more distributed modular architecture reduces the production impact of a single module failure from 50% to approximately one-third, limiting the availability penalty.
Read the rest (3 more)
The three-module configuration gives a model-reported availability of 92.28% and a total O&M cost of £10.70/MWh, compared with £8.00/MWh for the established two-module X-Rotor and £13.76/MWh for the conventional 3-stage geared HAWT. Sensitivity analyses show that the three-module result is conditional on the assumed reliability mapping, reduced-capacity operation, repair-cost scaling, and cross-member/main-shaft bearing replacement uncertainty.
Higher failure-rate assumptions, more conservative production-impact assumptions, and upper-bound bearing replacement scenarios reduce or remove the cost margin relative to the conventional geared HAWT. These findings indicate that the three-module architecture can retain an O&M cost advantage in the base-case 100 km offshore scenario, but this advantage depends on component reliability, modular replacement access, reduced-capacity operation, and bearing design maturity.
The results should therefore be interpreted as an architecture-informed comparative O&M assessment based on adapted reliability data and engineering assumptions, rather than as a direct prediction of field performance.</p>
Links
Where it is published
- DOI doi.org/10.3389/fenrg.2026.1891630.s001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Energy · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Maritime engineering 71%
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33770923 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:group:4015 | enrichment · figshare com | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:energy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |