Independent wind resource and measurement advisory for developers, investors and asset owners. We recover compromised remote-sensing campaigns, review energy yield assessments for lenders, and turn operating data into defensible performance evidence.
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 engageRSD rectification is where we are most distinct, and where most clients first engage us. Around it sit two further practices: independent energy yield review, and performance analytics for operating wind assets.
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.
Scoped, self-contained pieces of work that feed into a measurement campaign, a yield assessment, or an operating-asset review. Each is delivered as a documented dataset or memo.
Mesoscale resource screening and comparative benchmarking for the go/no-go decision, before any instrument is deployed.
Instrument selection, mast and remote-sensing placement, and data-coverage analysis designed for later bankability.
Site-specific WRF hindcasts downscaled to 200 m–1 km, delivered as hub-height time series with a methodology note.
Terrain-induced flow distortion correction for remote-sensing devices in complex terrain.
Quality control, multi-method MCP with inter-method variance, and long-term extension against multiple reanalysis datasets.
Availability, outage classification, power-curve health and resource-normalized performance from exported 10-minute SCADA data.
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.
For owners, lenders and acquirers of operating wind assets, the question is rarely whether production is below expectation, but why. We ingest exported 10-minute SCADA data, apply quality control and outage classification, and separate the contributions of availability, curtailment, power-curve degradation and the wind resource itself. Because the resource term is modeled with the same mesoscale and long-term correction methods used in our yield work, the result is a performance assessment that can be compared directly against the original EYA. Delivered as a documented report and a reusable dataset, and suited to acquisition due diligence, warranty discussions and independent owner reviews.
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.
Describe the problem and the data you hold by email. We reply with our initial read on fit and scope, and set up a short call only where it would save both sides time.
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.
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.
Spenta Power is an independent technical consultancy working in wind resource assessment, measurement, and the performance of operating wind assets. The practice is built around a single conviction: the technical assumptions behind a wind project — how the wind is measured, how records are corrected and extended, how uncertainty is quantified — determine its value, and they should be transparent, justified, and able to withstand independent review.
The work draws on more than a decade of experience across wind resource assessment, mesoscale and CFD modeling, remote-sensing measurement, and the performance analysis of operating renewable assets — including the design and operation of automated monitoring and reporting systems for utility-scale fleets. We work as an independent party — for developers, investors, lenders, and the engineers who advise them — without ties to equipment suppliers or project outcomes.
The practice is based in Tokyo and works with clients internationally, with a particular focus on the markets of Asia-Pacific and beyond.
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.
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.
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.
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.
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.
A farm producing below its P50 may be suffering from availability losses, curtailment, power-curve degradation, or simply a weak wind year — and the remedies are entirely different. Normalizing production against an independently modeled resource, rather than against nacelle anemometry alone, is what makes the decomposition credible to a lender or a buyer.
Three entry points, one fixed engagement. We accept an existing EYA, a compromised RSD measurement record, or a SCADA export from an operating asset. Within fifteen working days of data handover 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; for the operating asset, a first decomposition of the performance gap into availability, curtailment, turbine and resource terms. Every track concludes with a written memo and a 60-minute walk-through.
Describe what you are working on, the data you hold, and what you would like assessed. Email is our primary channel; we respond within two business days and set up a call only where it helps. Initial conversations are without obligation.
info@spentapower.comAvailable for engagements worldwide