Decision-making toolkit

Custom data sources

The reference data every model draws on, held in one place, scoped to a project or an organisation, and carrying its own provenance.

Overview

What Custom data sources does

A central data store that powers each model. It hosts numerous data types, including vessel rates, turbine specs, failure rates, and weather matrices. By replacing manual entry with a unified database, you ensure consistency across every calculation.

OPEX and CAPEX models link to custom data sources. For example, OPEX vessels are sourced from the same records. When rates are updated, the change propagates instantly, ensuring scenario data is synchronised.

Data is managed at the organisational or project level. Maintain consistent global benchmarks while ensuring project-specific negotiated rates remain isolated, preventing data leakage between bids, or team members.

Store full grids of wave and wind accessibility based on satellite and reanalysis records. These matrices allow the OPEX model to calculate precise waiting times rather than relying on broad, static assumptions.

Live · Site waves (CMEMS WAVERYS)

14,280

Values in one weather source, from 20 years of record

Accessibility by month and window — July is workable, January is not

Top features

What you get with Custom data sources

  1. Comprehensive data sources

    We provide generic datasets for vessels, contracts, ports and nurseries, turbines, foundations, failure rates, logistics tasks, unit costs, learning curves, contingency factors, cable costs, mooring activities and anchor pile geometry — to get you started.

  2. Organisation or project scope

    Publish a source to the whole organisation as a standing benchmark, or hold it to a single project when the rate is commercially specific. Velosco can also unlock proprietary datasets if you share your OEM/supplier agreements.

  3. Library-backed selection fields

    Thirty-three fields across the cost models take both their options and their default from this library, so no model input is hand-entered or mistyped during scenario modelling.

  4. Weather persistence matrices

    Automated, location-based wave and wind data for calculating turbine access based on wind speed, window length and month — for accurate O&M projections.

  5. Provenance on every value

    Each record stores the source, who created it, when, and whether it was machine-generated from a reanalysis grid point or entered by a person.

  6. Editors that show their shape

    Power curves, Weibull failure-rate curves and cost tables are edited with the chart beside the numbers, so a mistyped value is visible as a kink in the curve before it reaches a model.

Illustrative examples

Custom data sources in use

Drawn in the product's own interface, and every figure is real: they come from our live Demonstration project — a 288.75 MW floating wind farm in the central North Sea — and its Default Scenario, so anything shown here can be reproduced in front of you. No client or commercial data appears on this page.

Illustrative

One library, and every model reads from it

The sources this scenario actually resolves. Scope says whether a record is an organisation-wide benchmark or specific to one project; provenance says where it came from. The right-hand column is what breaks if it changes.

Project Demonstration project Project team

Custom Data Sources

Customise for variations in contracts, vessel data, turbine models, failure rates, and more. Scope each custom source to this project (private) or your whole organisation, or fork platform sources from Velosco.

Source types

Contracts
Daily vessels
O&M Ports and Nurseries
HLV vessels
JUV vessels
TTS cranes
Floating vessels
Turbines (WTG)
Foundations
Failure-rate refs
Persistence
Logistics tasks
Manufacturing unit costs
Learning curves
Contingency factors
Design variation
Cable costs
TI vessel day rates
TI mooring activities
Anchor pile geometry

Sources resolved by the Default Scenario

Type Name Scope Provenance Used by
Turbines (WTG) Generic Direct Drive 11.55MW Organisation Library record · 11.55 MW direct drive, 61-point power curve CAPEX, AEP, OPEX, TDD
Foundations Semi-sub 3C Organisation Library record · floating, 3 mooring lines CAPEX, OPEX
Persistence Site waves (CMEMS WAVERYS) This project only Machine generated CMEMS grid point 57.8 N, 1.6 E · 2006–2025 OPEX
Persistence Site wind (ERA5) This project only Machine generated ERA5 at 146 m hub height · 2001–2025 OPEX
Contracts SAA Agreement 1 Organisation Variable fee profile for the service and availability agreement OPEX
Failure-rate refs Deepstar mooring integrity study of permanent O&G units Organisation Published reference · 0.0024 failures per line per year OPEX
O&M ports and nurseries Port 1 — 35 km to site Organisation O&M port; tow-to-shore and in-situ marshalling at 70 km OPEX

33 selection fields across the cost models take their options and their default from this library, so the same vessel means the same day rate wherever it is chosen.

Illustrative

A weather record you can actually read

A persistence matrix is a grid of accessibility by wave height, window length and month — 14,280 values in this one. The detail view shows what the grid covers and one readable slice of it, rather than a megabyte of numbers nobody will check.

Project Demonstration project Project team

Site waves (CMEMS WAVERYS) — P50

Hs ≤ 1.5 m 5 P-values · 17 Hs steps · 14 windows · 12 months
Window JanFebMarAprMayJunJulAugSepOctNovDec
6 h 11 15 19 44 54 64 72 63 45 18 14 12
12 h 8 11 15 41 49 59 66 59 41 13 11 9
24 h 5 8 11 33 41 51 56 49 29 7 5 7
48 h 0 4 4 20 30 40 45 35 15 2 1 1
CMEMS GLOBAL_MULTIYEAR_WAV_001_032 Values are % of month accessible 58,440 samples at 3 h, 2006–2025, none missing Grid snapped to the nearest point — 8.84 km from the site centroid

The wind source paired with it

Site wind (ERA5)
Monthly mean wind speed, m/s JanFebMarAprMayJunJulAugSepOctNovDec
At 146 m, 2001–2025 12.812.111.09.38.98.37.98.610.011.612.012.2

The wind grid is built at hub height, not at 10 m, because 10 m wind overstates workable time by around twelve percentage points against the same site's own table. That decision is recorded on the source itself, not in somebody's head. Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00022

Illustrative

Edit the numbers, watch the shape

Curve editors put the chart beside the table. A transposed digit is visible as a kink long before it reaches a yield model — which is the cheapest place to catch it. This is the 61-point curve the Demonstration project's turbine record actually holds.

Project Demonstration project Project team

Generic Direct Drive 11.55MW — power curve

Wind speed, m/s Power, kW % of rated
7 2,845 25
8 4,285 37
9 6,075 53
10 8,050 70
11 9,760 85
12 10,910 94
13 11,400 99
Power curve Rated 11,550 kW 0 30 m/s

The curve holds rated power from 16 m/s, then rolls off from 23 m/s to cut-out at 28 — the machine's high-wind ride-through, not a data error. Seeing that before it reaches a yield model is the whole point of putting the chart next to the table. Provenance is recorded on save: who entered it, when, and whether it was typed or derived.

See it on your own project

Book a demo and we will walk through the module with your numbers, not ours.

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