Designing & Optimizing Complex Microgrids - Beyond Solar & Storage with Adib Nasle | EP209

Clean Power Hour

In this episode of the Clean Power Hour, Tim Montague interviews Adib Nasle, the co-founder and CEO of Xendee, a company that provides a software platform to design and optimize complex on-site energy systems. The discussion revolves around Xendee's unique approach to addressing the complexities and uncertainties associated with distributed energy systems.
Nasle explains that the core problem they aimed to solve was the lack of a practical way to "test drive" on-site energy systems before committing to a purchase decision. Xendee's platform utilizes a science-based algorithm, developed through decades of research, to generate optimal solutions based on the user's objectives, such as carbon emission reduction or profitability.
The platform's capabilities include automatically gathering relevant data like utility tariffs, incentives, weather patterns, and energy consumption for a given location. It then generates solutions by considering various technologies like solar, batteries, heat pumps, and EV chargers, while factoring in the underlying distribution infrastructure and control strategies.
Nasle highlights the importance of not only sizing and selecting the right technology mix but also orchestrating their operation to achieve the desired outcomes. The platform enables collaboration and data portability, facilitating information exchange between different stakeholders and platforms.
Furthermore, Xendee has developed a model predictive control system that uses the same underlying algorithm to operate the designed system in real-time, ensuring that the promised benefits are delivered efficiently and reliably.
The discussion also covers the platform's applicability to larger-scale projects like community microgrids and the potential for standardization and scalability through a single, integrated solution approach.
Overall, the conversation provides an in-depth look at Xendee's innovative software platform, which aims to simplify the adoption of distributed energy systems and unlock their full potential through accurate modeling, optimization, and real-time control.
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Adib Nasle
Xendee

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