Saving Energy with Efficient Periodic Scheduling Solutions: Gaia Power Technologies

Amotz Bar-Noy, Brooklyn College; Student Developer: Matthew P. Johnson, Graduate Center

(Funded by NSF-PFI, NYSTAR TTIP awarded-project)

CISDD has partnered with Gaia to design algorithms to balance the electrical power distribution in Gaia's battery based energy management system.

This optimization will focus on local needs and turn the fuel cell on/off or up/down based on short-term forecasted input from solar panel, local power needs, and battery state of charge. Based on the simulations using these algorithms, we will establish the best solutions that will give the most optimal generation source usage and the projected longest life for battery storage. This project has been awarded 2-year follow-on funding from NYSTAR.

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