Solar-Log® and Kitu Systems, Inc. Boost Availability of Rule 21 Solutions in California

March 16, 2020. Bethel, CT: Solar-LogTM and Kitu Systems, Inc. announce a collaboration to offer expert solar plant monitoring, control, and communication solutions which meet the new California’s Rule 21 mandate. Starting on March 22nd, all smart inverters deployed with solar and energy storage installations in California are required to be capable of communications with the utility and provide a set of grid-support functions.

By combining Solar-Log’s hardware-agnostic WEB Enerest™ enhanced solar monitoring, controlling and energy management software with Kitu Systems’ CSIP-certified Spark™ client and Convoy™ aggregator, the two companies will accelerate the market availability of a new generation of renewable energy solutions capable of grid-support functions, benefitting both solar and storage providers and end customers.

In the initial phase, the cooperation between Kitu Systems and Solar-LogTM will focus on California and the US. An extension of the cooperation to other markets with the same or similar requirements in accordance with the Rule 21 will take place within the framework of the market and product strategy of both companies.

“Our company is committed to further the development of clean energy and we strongly believe this requires the concerted operation of distributed energy resources with the electrical grid,” said Rick Kornfeld, the CEO of Kitu Systems. “One of the main challenges is to rapidly reach a large scale in terms of connected resources: Solar-LogTM enables a significant market coverage from day one”.

Brigitte Beck, CEO of Solare Datensysteme GmbH (Solar-LogTM Headquarters), added that “With the integration of Kitu Systems’ technology, we can provide added value to providers and end customers from the get-go, offering Rule 21 interconnection through a large variety of devices. But more importantly, the improved metrology and coordination capabilities open the way to a host a new services and business models.”