The Context

For a renewable asset, the key question is how much energy was expected, how much was delivered and why the two differ. The answer matters for operation and for the value of the asset in a transaction.

Typical Challenges

  • Gap between expected and actual energy yield
  • Underperforming plants within a larger portfolio
  • Curtailment and grid limitations
  • Valuation and risk assessment in acquisitions

What Can Be Done

Performance Evaluation

Expected and actual production are compared plant by plant, and degradation and losses are quantified and traced to their causes.

Predictive Maintenance

Faults on inverters, trackers, transformers and storage systems are detected and ranked by the energy they cost.

Production Optimization

Dispatch, curtailment and flexible-load scenarios for renewable plants and storage are simulated before they are applied.

Experience

Previous projects include the technical due diligence of a multi-site solar PV portfolio for an infrastructure investor, and a solar and battery storage plant sized on a load profile reconstructed from monthly measurements.

Interactive demo · Load forecasting case study