Stony Brook University, Pacific Northwest National Laboratory, Ecological Energy O&M Focus Highlights Importance of Reducing Real-World Soft Costs
NEW YORK, NY / ACCESSWIRE / June 19, 2023 / Ecogy Energy Brooklyn-based owner/operator of a vertically integrated distributed energy resource (“DER”) Ecogy Energy is part of a research team that will receive $230,000 of a $750,000 award from the U.S. Department of Defense announced that it was Energy The Solar Energy Technology Office (“SETO”) promotes research and development in artificial intelligence (“AI”) for solar energy applications. This project applies machine learning technology to commercial and industrial (“C&I”) portfolios to reduce O&M costs.
The commercial industrial solar portfolio accounts for more than 20% of the total industry, and the industry as a whole is expected to triple over the next five years. Advances in machine learning (“ML”) hold promise for effectively operating these assets, but complexity and cost often put them out of reach of multi-vendor footprints. Ecogy, Stony Brook, and Pacific Northwest National Laboratory (“PNNL”) solve this problem with an open-source platform that facilitates interoperability of both multi-manufacturer devices and multiple ML frameworks We aim to
“We are very focused on managing our C&I portfolio at peak performance,” said Jack Bartuzzi, CEO of Ecogy, which manages DER portfolios spread across the East Coast, including the U.S. Virgin Islands. “We started by opening up communications for monitoring and control of all assets, then normalized the dataset, and finally increased the resolution. We are now working with partners Stony Brook and PNNL , forensically examining all data to glean actionable information and extract tremendous value through ever-expanding insights.”
Ecogy’s machine learning solution is based on the SolarNetwork platform. It is an open source software platform that emphasizes interoperability and reduced management costs for systems with complex topologies. Ecogy, Stony Brook and PNNL aim to provide the entire industry with a toolkit that allows them to operate their assets more effectively. All of these developments will be released as open source to maximize access to these efforts.
“Our first goal is to provide solar power plants with advanced ML techniques that asset managers can provide in real-time, or in some cases, before significant production-impacting events begin to occur. , to be able to react quickly and efficiently with new insights about their assets.The second goal is: “This will simplify the deployment of such software and make it widely implemented without the need for ML expertise. What’s really cool is that we’re using incredible, real-world, live datasets to continuously test our hypotheses,” said project leader Yue Zhao. increase. at Stony Brook.
Ecogy was selected as part of the SETO Fiscal Year 2020 Funding Program. It is an effort to advance research and development projects that reduce the cost of solar power generation, make U.S. solar power manufacturing and business more competitive, and improve the reliability and resilience of the power grid. Expanding solar power into new applications. Ecogy’s leverages US experience in AI, particularly in the field of machine learning, to form partnerships with AI experts and industry players to develop disruptive solutions across the PV industry value chain It’s one of several projects to do.
Ecogy, Stony Brook and PNNL aim to reduce the “soft costs” of installing and managing C&I solar assets, making them a relevant asset class in the renewable energy industry. increase.
About ecological energy
Ecogy was founded in 2010 as a developer, financier and owner-operator of distributed power generation resources. Since then, Ecogy has found a niche dedicated to financing distributed energy assets for traditionally underserved groups such as affordable housing, nonprofits and municipalities. .
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