Independent Wind Engineering

Reducing uncertainty.

Independent wind resource, measurement and met-ocean advisory for developers, investors and asset owners. From measurement strategy and site assessment to bankable energy yield studies and independent technical review.

3D mesoscale wind resource simulation over terrain
Wind resource modeling Mesoscale CFD simulation
RSD Rectification Lead practice
Prospecting & Campaigns Screening, design
Resource & Yield Bankable AEP
Civil & Structural Foundations, masts
How we work
Wind resource assessment is ultimately an exercise in risk management. Technical decisions must be transparent, justified and defensible.

Every assumption—from measurement strategy and long-term correction to wake modeling and uncertainty analysis—affects project value and investment decisions. Our role is to ensure those assumptions are transparent, technically justified and appropriate for the project context.

We do not rely on a single methodology simply because it is common practice. Instead, we evaluate alternative approaches, quantify their impact on results and document the basis for key decisions. The outcome is a defensible technical position that can withstand review by lenders, investors and independent engineers.

See how we engage
Services

Led by measurement campaign recovery.

RSD rectification is where we are most distinct, and where most clients first engage us. It sits within a complete wind engineering capability spanning the full development lifecycle.

AQ510 SODAR measurement principle: three conical acoustic beams, Doppler shift, and resulting wind speed profile
Lead practice · RSD Rectification & Virtual Met Mast

Recovering value from compromised measurement campaigns.

Remote sensing campaigns can return data with reduced availability, sectoral gaps, or noise contamination — particularly in complex terrain, near forests or infrastructure, and in high-precipitation environments. Where the validated subset of the record is sufficient to anchor a calibration, the campaign can often be recovered through numerical reconstruction rather than redeployed. Using mesoscale modeling calibrated against the reliable hours of the existing record, combined with machine-learning reconstruction that incorporates sectoral and stability dependence, we synthesize a continuous hub-height time series at the sensor location — a virtual met mast. The reconstructed series is cross-validated against retained measurements, and uncertainty is quantified separately for measured and reconstructed portions. The deliverable is a documented record suitable for IE or lender review.

  • Diagnostic of RSD data quality & recoverability
  • WRF mesoscale calibration on trustworthy hours
  • ML-based reconstruction (sectoral, stability-aware)
  • Virtual met mast time-series synthesis
  • Cross-validation against retained RSD subset
  • Uncertainty quantification for reconstructed data
  • Long-term extension via MCP
  • Documentation suitable for IE / lender review

Across the development lifecycle

RSD rectification is where most clients first engage us. It sits within a complete wind engineering capability, from first screening to the structural design of the built project.

Early stage

Site Screening

Mesoscale resource screening and comparative benchmarking for the go/no-go decision.

Early stage

Measurement Campaign Design

Instrument selection, mast and remote-sensing placement, and data-coverage analysis.

Measurement

Virtual Wind Data

Synthesized hub-height time series where physical measurement is absent or incomplete.

Measurement

LiDAR & SODAR Flow-Curvature Correction

Terrain-induced flow distortion correction for remote-sensing devices in complex terrain.

Assessment

Wind Data Analysis

Quality control, long-term correction, and multi-method MCP with inter-method variance.

Assessment

Micro-scale Resource Mapping

WRF mesoscale downscaling to 200 m for site-specific hub-height climatology.

Assessment

Bankable AEP / Energy Yield Assessment

P50 / P75 / P90 with full uncertainty propagation, for financial close and IE review.

Design

Optimized Wind Farm Layout

Layout and wake-loss optimization across resource, constraints, and yield.

Design

Civil & Structural Design

Turbine foundations, met masts, access roads, and site civil works. FEM and FSI methods.

Cross-cutting

Met-Ocean & Offshore

Coupled wind–wave characterization and offshore site assessment across each stage.

FEATURED / FINANCIAL CLOSE
P50 YIELD 3,142 MWh
Bankable AEP / Energy Yield Assessment

Energy yield assessment for financial close and IE review.

A bankable Energy Yield Assessment produces P50, P75, and P90 figures intended to support lender due diligence and inform project financing. Our workflow combines WRF mesoscale modeling at 200 m–1 km resolution, multi-method MCP regression with quantified inter-method variance, and uncertainty propagation across measurement, long-term, wake, and methodological terms. Where a third-party EYA already exists, we serve as the independent technical reviewer, providing a structured memo for lender or investment committee use.

  • WRF mesoscale modeling (200 m – 1 km)
  • Met mast & LiDAR data quality control
  • Multi-method MCP regression with inter-method variance
  • Long-term correction using multiple reanalysis datasets
  • Wake loss modeling & layout sensitivity
  • P50 / P75 / P90 with explicit uncertainty propagation
  • Independent third-party EYA review
  • Documentation built for lender & IE acceptance
Wind data analysis and modeling visualization
Modeling & data analysis CFD, mesoscale modeling, and machine-learning reconstruction across the measurement and assessment workflow.
Capabilities

Beyond the four service areas, we take on bespoke technical work involving atmospheric, oceanographic, or structural physics.

WRF mesoscale modeling
Full WRF configuration, nesting, physics scheme selection, and downscaling to 200 m–1 km. Multi-year hindcasts for site climatology.
MCP & long-term correction
Multi-method MCP regression (linear, matrix, variance ratio), reanalysis-based long-term correction, and AI-enhanced approaches for short measurement records.
RSD & LiDAR data reconstruction
Gap-filling, quality control, and AI-based reconstruction of SODAR and LiDAR data — turning short or fragmented records into usable resource inputs.
Wake & layout modeling
Eddy-viscosity and engineering wake models, layout-sensitivity analysis, and validation against operational data where available.
Uncertainty quantification
Component-wise uncertainty propagation across measurement, long-term, modeling, methodological, and wake terms — producing P50/P75/P90 bands with traceable composition.
Met-ocean characterization
Wave climatology, current profiling, marine atmospheric boundary layer modeling, and design-load environment for offshore foundations.
CFD & SPH modeling
OpenFOAM, ANSYS Fluent, Flow3D, and mesh-free particle methods (SPH) for fluid-structure interaction problems beyond the validity range of linear analyses.
Cloud HPC infrastructure
AWS ParallelCluster and Azure CycleCloud for large WRF runs and CFD simulations, scaled to project scope without permanent infrastructure investment.
Extreme event analysis
Typhoon, hurricane, storm surge, and tsunami modeling for site selection and design-basis verification — particularly relevant for offshore zones in monsoon and cyclone-prone regions.
Operating-asset technical analytics
Project-scoped technical reviews of operating wind assets — productivity analysis, anomaly characterization, and forward-looking performance assessment. Engaged for acquisition due diligence or independent owner reviews.
Tools we work with
WRF, WindSim, WindPRO, WAsP, MASCOT, OpenFOAM, ANSYS Fluent/CFX, Flow3D, Python (xarray, MetPy, numpy), MATLAB, FORTRAN.
Bespoke technical work
For problems that do not fit a standard service category. Get in touch and we can discuss whether the scope is something we are well placed to take on.
Approach

Independent of project counterparties, vendors, and financial outcomes.

We hold no equity in the projects we assess, no commercial relationships with hardware vendors, and no incentive tied to whether a project proceeds. The deliverable is a technical opinion, not an outcome.

01 / FIRST CONVERSATION

A scoping call

A 30-minute call to understand the problem. The goal is to determine whether we are the right fit before either side spends more time on it.

02 / SCOPING

A short scoping document

If there is a fit, we send a short scoping document covering the question we are answering, the data required, the deliverable, the timeline, and the price.

03 / DELIVERY

Defined deliverables

Engagements conclude with a written technical report and a working artifact — a model, dashboard, tool, or dataset. Thirty days of follow-up is included by default. Retainer arrangements are available where they suit the work.

Insights

Notes on wind resource, offshore, and coastal engineering practice.

Mesoscale · Resolution

When to use reanalysis and when to downscale

Global reanalysis at 30 km is well-suited to regional screening and provides the boundary conditions for finer-resolution work. For site-specific energy modeling, downscaling to 1 km or below typically resolves terrain, coastal transition, and local boundary-layer effects that matter at hub height.

MCP · Long-term correction

The case for multi-method MCP in resource assessment

Each MCP method makes different assumptions about what is stable between the reference and target periods. The inter-method spread is typically 1.5 to 4 percent in long-term mean wind speed, which propagates to several percent in long-term energy. Carrying that spread as an explicit uncertainty term, rather than collapsing it through a single method choice, produces a more defensible result.

Onshore Wind · EYA Review

Common assumption risks in third-party EYAs

Reference correlations evaluated only on a single period, wake loss assumptions that may not match the as-built layout, loss factors carried forward from earlier projects without site-specific review, and uncertainty bands that do not fully capture complex-terrain variability. These are recurring areas worth checking in independent review.

Offshore Wind · Met-Ocean

Why offshore wind benefits from coupled modeling

The marine atmospheric boundary layer is more stability-dominated than its onshore counterpart, swell influences the local wind field through wave-induced stress, and floating LiDAR motion introduces a systematic bias. Coupled wind–wave modeling addresses these effects in ways that a marine-roughness adjustment to an onshore workflow does not.

Coastal · Extreme Events

Extreme event statistics under a non-stationary climate

Offshore wind and coastal infrastructure design has historically used extreme wind and wave statistics derived from stationary climate assumptions. Recent decades suggest the tails of these distributions are shifting, and site-specific extreme event modeling that incorporates climate scenarios is becoming part of the design conversation.

Coastal · Marine Pipelines

VIV considerations for offshore wind inter-array cables

Inter-array and export cables can be subject to the same vortex-induced vibration mechanism that affects offshore pipelines on free spans. The relevant lock-in conditions depend on the local current profile, span geometry, and structural damping, and site-specific assessment can refine the generic fatigue analysis provided by cable suppliers.

Open work

Working papers and technical writing, available on request.

Methodology 20 min read Working paper

Multi-method MCP and methodological uncertainty in wind resource assessment

A worked example using public reanalysis and a synthetic onsite record. Five MCP variants applied to the same data, with the inter-method spread quantified and propagated through the uncertainty composition.

Request the paper
Offshore 15 min read Working paper

Marine atmospheric boundary layer considerations for offshore wind

A discussion of stability-dominated regimes, swell-influenced wind fields, and floating LiDAR motion effects. Includes a comparison of treatments used in current offshore resource workflows.

Request the paper
Open source GitHub Python

A small toolkit for uncertainty propagation in wind resource assessment

A minimal Python module that propagates measurement, long-term, modeling, and wake uncertainty with explicit treatment of correlations between terms. Includes worked test cases on public datasets.

Request access
About these papers. Each piece originated from a question that arose during a client engagement. We share them as working papers rather than peer-reviewed publications and welcome technical feedback on the methods and assumptions. Request a copy by email and we will send it directly.
A scoped first engagement FIXED FEE

The Two-Week Diagnostic.

Two entry points, one fixed engagement. We accept either an existing EYA or a compromised RSD measurement record. Over fourteen calendar days we produce a structured technical diagnostic: for the EYA, the three assumption areas with the largest expected impact on P50 and P90, with sensitivity quantified; for the RSD record, an assessment of recoverability together with a recommended reconstruction pathway. Both tracks conclude with a written memo and a 60-minute walk-through.

STEP 01
Handover & scoping
You share the EYA or the RSD record under NDA. A 30-minute kickoff call confirms scope, defines the principal questions, and selects the diagnostic track.
STEP 02
Independent technical work
For EYA review, we re-run the critical analytical steps independently — MCP, long-term correction, wake assumptions, uncertainty propagation. For RSD diagnostic, we characterize the data quality regime, identify the validated subset, and run a feasibility pass on reconstruction.
STEP 03
Findings memo & walk-through
A 10–15 page memo with the diagnostic findings: assumption areas and P50/P90 sensitivity for the EYA track, or recoverability assessment and reconstruction pathway for the RSD track. Followed by a 60-minute walk-through with the technical team.
Duration
14 calendar days
Fee
From USD 8,000
Refund clause
50% if no material finding

Have a project we should look at?

Describe what you are working on and what you would like assessed. If a short call would help clarify scope, we will set one up. We respond to email within two business days. Initial conversations are without obligation.

info@spentapower.com

Available for engagements worldwide