Tecogen announced that Tecogen has been developing and testing machine learning based intelligent control for cogeneration and cooling systems. The system self-learns from data on our remote monitoring platform CHPInsight and determines the optimum way to operate a chiller or cogeneration plant based on a building’s seasonal load profile. Testing on a selection of customer sites has resulted in reduced energy purchased from the utility and an increase in equipment run hours. This is a benefit for the customer and Tecogen as it increases customer savings and Tecogen’s service revenue. We expect to start implementing this in many of our service sites over the course of this year. Any cogeneration system connected to our platform can be controlled centrally. This will also allow us to act like a virtual power plant and participate in utility demand response programs. The capacity from multiple cogeneration systems can be aggregated and receive utility payments which can be shared with the customer. Since the self-learning intelligent control system is built on our remote monitoring platform it can also be integrated with other distributed generation and cooling products.
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