Having a highly-granular data allows us to provide a more accurate commentary on the seasonality of power generation—along with associated risks and opportunities—at a given site. Combining the results of multiple sites will also enable us to provide insights to investors to make informed decisions when weighing out different investment options.

One of our expertise is measuring the load factor of the proposed power plant and presenting it across statistical confidence—which includes P10, P50, and P90 load factors—for investment risk assessments.

Using our cutting-edge model and weather data, We can test out the impacts of variables —such as tracking on solar farms, using different solar panel tilt angles, and using different turbine models—on the generation profile. This data enables clients to understand how the various technical designs will impact their output and factor that into their financial modelling and investment decisions.

We are able to provide revenue forecasts and capture the risks and benefits across uncertain factors like regulatory changes and climate variability.

We can provide qualitative assessment to identify any social, political, environmental risks and benefits of a given infrastructure investment.

We can provide holistic modelling to determine the carbon reduction and other environmental benefits that said the investment could realise. The output can be used as advocacy to support the project approval or financial subsidy request.