DNV GL found that Enel X’s optimization methods are robust and well designed to anticipate an extensive range of scenarios and have industry-leading capabilities in optimization-based energy storage simulation. The analysis was based on DNV GL’s deep knowledge of storage markets and technologies and examined the model’s optimization algorithm, forecasting algorithm, and financial model supplemented by interviews with several Enel X subject matter experts.
Enel X’s storage optimization software optimizes value across demand charge management and demand response while maintaining compliance with applicable incentive programs. The evaluation also revealed that several key features contribute to the usefulness and flexibility of Enel X’s approach, including the ability to incorporate forecast-based models as a more sophisticated alternative to perfect forecast models. DNV GL performed simulations with its own Microgrid Optimizer tool to verify the performance of Enel X’s storage optimization software. The two test cases, which used inputs, outputs, and financial information provided by Enel X, yielded overall results that are in line with industry best practices for similar tools.
“Enel X’s energy storage team has spent years developing and refining the energy storage software to ensure each project delivers economic value to our customers,” said Surya Panditi, head of Enel X North America. “The assessment by DNV GL further validates our software’s modeling capabilities and energy market expertise.”
