muGrid Analytics Awarded SBIR Phase I Grant by the US Department of Energy

Nearly $200,000 in funding for Small Business Innovation Research will enhance muGrid’s predictive economic optimization of energy storage microgrids.

muGrid Analytics has been awarded a Phase I Small Business Innovative Research (SBIR) grant by the US Department of Energy’s Office of Science to support continued development of their Redcloud Energy Management System (EMS). The Redcloud EMS provides operational model predicted command-and-control for battery energy storage, electric vehicle chargers, and other dispatchable loads to drive near-optimal utility bill savings.

This grant will support muGrid’s research into closing the gap between the modeled and actual techno-economic performance of battery systems, EV charging, and building automation. muGrid’s Redcloud EMS uses mathematical optimization and predictive analytics, verifiably co-optimizing across multiple stacked revenue streams such as peak shaving, energy arbitrage, and demand response. This is performed in an operational, forward-looking environment, delivering exceptional financial returns compared to currently available solutions.

From small start ups to the biggest names in the industry, other microgrid controllers and energy management systems claim the ability to provide significant savings. Unfortunately, this rarely happens in practice, or at best is performed sub-optimally, resulting in diminished revenue streams from energy assets.

“Superior economic performance means that more battery storage systems, along with their connected renewable energy and microgrids, can be cost justified and deployed across the C&I market space,” said Dr. Travis Simpkins, CTO of muGrid Analytics. “This unlocks the utility savings estimated during the design phase, allowing energy assets to realize their full capability and enabling stakeholders to finally achieve the monetary benefits they expect.”