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Home - Technology - Canadian Startup unveils substring inverterprototypes – PV Magazine International
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Canadian Startup unveils substring inverterprototypes – PV Magazine International

solarenergyBy solarenergyFebruary 25, 2025No Comments2 Mins Read
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Daanaaa says that his news -Zodiac Substring Inverter provides up to 42% more energy than a regular arrangement.

February 25, 2025
Lior Kahana

The Canadian startup Daanaaa has unveiled a new substring -in -converter for PV panels.

The zodiac prototype is now available for module manufacturers to evaluate by integrating it into the back of the panel. The system consists of two main modules, virgin and Pandora.

“Virgin is the module that connects to solar cell substring for DC optimization, inversion to high-voltage schedule AC, fast closing functionality and monitoring and diagnostics at substring level at a deeper level,” the manufacturer said. “The Pandora module aggregates AC capacity of the Virgo’s, delivers a single AC output to the grid and serves as a communication interface with external gateways and servers.”

Daanaaa said that the independent substring optimization of Zodiac provides an average of 15% more energy in typical installations and up to 42% more in slightly rough scenarios. By eliminating external power electronics and reducing cascade components and connectors, the inverter simplifies the installation and lowers the costs.

The company said the system was validated by the IEEE conference on photovoltaic specialists (PVSC).

“The solar industry has long been confronted with challenges with current losses and system complexity as a result of external dependencies on electronics,” said Udi Daon, CEO of the Daaaa. “Zodiac treats these problems by bed in the substring level of the PV module. This innovation simplifies system design and installation while the reliability and energy generation is improved, with the road being acquitted for more resilient and well -performing solar panels. “

See also  Semi-online technology for short-term solar radiation prediction in PV installations – SPE

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