Alfred University and Ranial Systems Take $65,000 to Build a Single-Chip Microgrid Controller
- Industrial & C&I Microgrids Microgrids Research
Marin Holt
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- 8 minutes read
- Award: $65,000
- Round total: $315,000 shared by four New York partnerships
- Project window: Week of June 29 to November 2026
- Test lab backing: $466,853 NYSERDA grant plus $2.8 million in GE Vernova licenses
Alfred University has taken a $65,000 state-backed award to build an AI-assisted controller for grid-scale batteries and commercial microgrids. The partner is Ranial Systems Inc., a clean-tech startup based on Long Island. The five-month project started the week of June 29 at the Inamori School of Engineering in western New York. The team expects to finish in November 2026.
The money comes from New Energy New York. That group is a Binghamton University-led partnership with the New York Battery and Energy Storage Technology Consortium.
The target is a System-on-Chip EMS/BMS controller. The energy management system and the battery management system would share one piece of silicon. Today they are two boxes that have to agree with each other. Ranial brings CognitEMS, a patented edge-AI platform for distributed energy resources. Alfred brings the test bench.
The test bench is the more interesting half of the deal. Validation runs as hardware-in-the-loop testing at two campus labs. They are the GE Vernova Advanced Power Grid Lab and the Edibon Power Systems Simulation Lab. Both sit in the McMahon Engineering Building.
Hardware-in-the-loop puts the physical controller in front of a real-time simulated grid. A bad control strategy then fails in software, not on a customer switchgear lineup. The GE Vernova lab runs AEMS and ADMS platforms for that work. It opened in 2024 on a $466,853 NYSERDA grant plus $2.8 million in donated GE Vernova software licenses. The lab cost roughly forty times the award now being spent inside it.
Dr. Chandan Kumar, assistant professor of computer science, is principal investigator. Dr. Xingwu Wang, professor of electrical engineering, is co-principal investigator. Jannatun Naiem, a master’s student in electrical engineering, handles hardware setup, sensor integration and test runs.
“We see this collaboration as a meaningful opportunity to translate cutting-edge Machine Learning research into a commercially deployable, domestically developed solution with direct relevance to New York State’s clean energy goals,” Kumar said in a statement.
Read the size of the award honestly. The Alfred-Ranial partnership is one of four sharing a combined $315,000 from this round of the NENY Technical Assistance Program. That program targets startups and small manufacturers that need to de-risk a technology.
Sixty-five thousand dollars buys a graduate student, lab time and a test campaign. It does not buy a product, a pilot site or a customer. Ranial Systems did not answer a comment request from Microgrid Knowledge. No commercial availability date has been published.
Why It Matters
Control software is the quiet constraint on commercial and industrial microgrid economics. The hardware stack is largely a catalog purchase now. Payback still turns on dispatch decisions made in seconds. Ride through a demand spike, hold charge for a tariff peak, or sell into a demand-response event.
Split EMS and BMS stacks make those decisions slower and harder to certify. Integrators then write custom glue code for every site. A single-chip controller attacks that cost, if it survives testing.
For operators judging controller vendors, the useful question is not whether a platform claims AI. Ask whether the vendor will show hardware-in-the-loop results against a simulated grid, with the fault cases named. The Alfred lab exists to produce that evidence. November is when to ask for it. Until then, treat this as what it is. This is publicly funded engineering work, on a controller that has never run a revenue asset.
Critical Perspective
The technical risk here is not the silicon. Putting an energy management system and a battery management system on one chip is an integration exercise, and several vendors already ship converged controllers. The hard part is liability. A BMS is safety-critical, and cell makers tie warranty terms to the management system that governs charge and discharge. A university prototype does not clear that hurdle, no matter how the hardware-in-the-loop runs go.
The funding numbers make the point on their own. The award is $65,000, one share of a $315,000 round, spent in a lab built on a $466,853 grant and $2.8 million in donated software. The lab is the asset. The project is a five-month test campaign inside it.
Two questions stay open in November. Which fault cases did the simulator run, and did any of them come from a real C&I site rather than a textbook? Ranial did not answer a comment request, and no customer, pilot site or availability date has been named. Until one is, this is a research result, not a procurement option.
Sources
- Alfred University leads project to develop battery storage, microgrid control system, Alfred University
- New York’s Alfred University, Clean-Tech Startup Partner on AI-Powered Microgrid Controller, Microgrid Knowledge
- Alfred University leads development of battery storage, microgrid control system, Olean Times Herald
- Alfred University leads project to develop battery storage, microgrid control system, The Wellsville Sun
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