Use Case – AD•A No.03
DUE DILIGENCE AND PROJECT
LEYLINE RENEWABLE CAPITAL
Dairy Manure RNG Project in Oregon, USA
Prevented an overestimation of
At 30,000 MMBtu per year, avoided an overestimation of
“Being able to do Sensitivity Analysis, analyze Greenhouse Gas emissions, and other features we weren’t previously considering, such as digester sizing, and volume of effluent coming from the digester we have been very grateful for.”
Leyline Renewable Capital provides flexible capital solutions to further sustainable industries. As former developers, the Leyline Renewable Capital team knows the challenges in the project development cycle and has the expertise and capital to help.
Leyline has invested in more than 40 projects that are generating a substantial positive impact on our environment and economy.
A developer based in Oregon presented a dairy project opportunity to Leyline Renewable Capital. Leyline Renewable Capital, was considering investing in the opportunity but wanted to gain a full scope of the project’s bottom line beforehand.
The team was presented with information from various streams, including the main developer and construction company. To perform a stress test of the opportunity, data validation should be involved.
Leyline Renewable Capital sought out anessa to review and validate the information provided. Using anessa AD•A, the team was able to assess the parameters involved and identify discrepancies that required immediate attention.
A risk assessment analysis report generated by AD•A helped pinpoint the discrepancy in the input variables and the functional parameters, which helped find key aspects that enabled Leyline to make efficient decisions. anessa AD•A was able to prevent an overestimation of 21,000,000 ft³ of biogas per year. At nearly 12,000 MMBtu yearly, this discrepancy equates to an overestimation of 800,000 USD in annual total revenue.
When presented with this use case, our solution enabled Leyline to gain further insight into their opportunities.
anessa AD•A’s unique Sensitivity Analysis enables firms to understand the effect of different variables on their project’s bottom line. Dynamically understand which values can bring variability to your project and to what degree they do so.