Operational Energy Assessments
As an industry leader in operational assessments, we have developed and refined high quality methodologies for providing long term energy forecasts for operational wind and solar plants. By using operational data, we can estimate future energy production more accurately than by using standard pre-construction methods alone. For investors, we provide bankable energy production reports based on operational data. These assessments provide a clear indication of normal operation and long-term energy projections with lower uncertainty than pre-construction assessments.
Operational Wind and Solar Energy Production Reports
As an industry leader in operational assessments, we have developed and refined sophisticated methodologies for providing energy assessments based on actual production data from the operating wind farm. By using operational data, we can assess the long-term energy production more accurately than by using standard pre-construction methods alone. OEPR’s fulfill all requirements of bankable energy production reports and provide a clear indication of normal operation and long-term energy projections with lower uncertainty than pre-construction assessments.
Repower Energy Production Report
Wind plants are typically designed for a 20-year lifespan. A full repower involves the complete dismantling and replacement of the existing wind turbines at the site. A partial repower may involve a replacement of the blades with longer ones, or possibly a more significant upgrade of major components, such as drive trains, but is likely to leave the foundations, towers and site infrastructure intact. UL takes a comprehensive approach to repowering, assessing the current plant from both an operational and theoretical perspective. These complementary viewpoints are merged to create a custom analysis that more accurately predicts the future repowered energy than theoretical models alone.
Lost Energy Production Report
An independent estimate of lost production is critical for contractual reimbursement of lost revenue as part of business interruption insurance claims or reimbursable curtailment. UL has state-of-the-art modeling capabilities to comprehensively assess lost production during periods of curtailment, outages or other force majeure events that impact the entire facility, even for periods where there is little to no data collected on site.
Portfolio Operational Energy Assessments
Owning a portfolio of wind and solar projects allows owners to balance local resource fluctuations and reduce the volatility of the revenue stream. In a portfolio the effect is enhanced with increasing geographic, resource, and technology diversity.. UL has developed tools to perform Portfolio Energy Reports focusing on the effect of reduced uncertainties of operating portfolios against individual operating wind or solar projects. Portfolio assessments are used in numerous transactions and refinancing of portfolios, leveraging the reduced uncertainties for financial benefit.
UL is the ‘go to’ company for operational assessments for many owners and investors. Using a streamlined process, we can also assess entire portfolios of renewable energy plants on a one-time, annual, quarterly or monthly basis. This benchmarking process provides a solid understanding of changes in performance over time, adjusted to account for changes in the underlying wind/solar resources, and flags performance problems..
Portfolio Benefit Analysis
By evaluating a portfolio as a whole, the result is that the error distribution for the combined output of the projects is often narrower than the summed error
distributions of the individual projects. This is known as the portfolio benefit, which may translate into lower risk to the net income for the portfolio owner. To determine the portfolio benefit, it is necessary to estimate the correlations of the various sources of uncertainty and then to combine the results to arrive at an estimate of the likely deviations of the aggregated output. Perfectly correlated project uncertainties yield no benefit, while perfectly uncorrelated project uncertainties would yield the maximum benefit.