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TECHNICAL ADVISORY

YIELD ASSESSMENT

Call on our experts for a comprehensive, efficient, and reliable assessment of your yield.

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WHY EVALUATE?

In an increasingly competitive market, risk management is a major challenge for investors.

Based on its operational experience, 8.2 offers a wide range of services for assessing wind and solar power generation potential.

SEE OUR SERVICES

YIELD ASSESSMENT

Our Services

REEVALUATION OF WIND POWER PRODUCTION

Our engineers ave developed a reliable, high-performance tool for the purchase, sale, or refinancingof your wind farms. This tool uses Artificial Intelligence (AI) to estimate the long-term production of operational wind farms based on historical SCADA data.

Our methodology for reevaluating yield is based on the following steps:

Use of historical 10-minute SCADA data from the wind farm, taking into account any changes to the wind farm configuration and various restrictions (environmental and technical).

Use of long-term reference satellite data, such as MERRA-2, ERA5, Vortex, etc.

Long-term modeling of wind behavior using the MCP (Measure, Correlate, Predict) algorithm,correlating historical SCADA data with satellite data (wind speed and direction, ambient temperature, and atmospheric pressure), while integrating wind sectors, seasonal biases, and time of day.
A machine learning model with cross-validation is used to reproduce turbine power curves based on SCADA parameters. Long-term production is then estimated based on this simulation and long-term wind data.

Various factors (unavailability of wind farms, technical electrical losses, environmental and technical constraints, future wake effects) are taken into account when calculating the P50.

An uncertainty analysis is performed to estimate production over 1 year, 10 years, and 20 years, as well as to determine P75 and P90 production over 20 years.

PRE-ESTIMATION OF PRODUCTION CAPACITY

A quick and independent estimate of production

A preliminary assessment gives investors a good idea of the park's production capacity.

METHODOLOGY:

  • Use of long-term reference satellite data
  • Resource modeling to estimate the wind or solar power potential of your site
  • Inclusion of losses to determine net P50
  • Estimation of uncertainties and calculation of P90

Yield Studies

ONSHORE WIND POWER

Methods adapted for onshore wind power:

  • Site visit to confirm the characteristics of the site
  • Processing of data from the measuring mast and analysis of various long-term data sources
  • Estimation of “gross P50” wind potential
  • Determination of net P50 taking into account various losses (losses due to wake effect, management plans, availability, and other losses)
  • Assessment of all uncertainties to obtain the P90.
PHOTOVOLTAIC :

Our expertise in assessing solar energy yield:

  • Site visit to confirm the characteristics of the site
  • Consideration of satellite databases: selection of a data source based on its suitability for the site
  • Calculation of energy distribution throughout the year (energy production, capacity factor, performance ratio)
  • Detailed calculation of various production losses to determine the net P50 (soiling, IAM factor, PV conversion, irradiance level, temperature, shading, module quality, LID, mismatch, cabling, inverter, auxiliaries, unavailability, etc.)
  • Assessment of all uncertainties to obtain the P90.

PRODUCTIBLE STUDY REVIEW

Review of existing studies on deliverables

  • Evaluation of the quality and availability of measured data and reference data,
  • Qualitative review of measurement instruments,
  • General review of the methodology applied and its compliance with the state of the art,
  • Verification of the characteristics of the equipment under consideration and its suitability for the project design
  • Review of losses applied and their consistency with authorizations and various studies conducted
  • Verification of uncertainty calculations

OUR REFERENCES

KEY FIGURES FROM 8.2 on yield estimates

in bankable energy performance assessments since 2008 

426 MW

review of energy performance assessments since 2008

685 MW

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