Metal recycling solutions

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See energy costs clearly. Protect margins as markets shift.

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True energy cost drivers

See which shredders, furnaces, conveyors, and separation lines drive electricity spend at different times of day.

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Margin protection under volatility

Understand how energy intensity shifts with throughput, material mix, or operating conditions so teams can respond faster.

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Reporting-ready energy data

Provide defensible energy and emissions data when customers or regulators require it, without exposing proprietary operations.


Watt Window captures frequent, load-level energy data across heavy electrical equipment.

That lets operators link electricity cost to specific lines, shifts, or processing stages instead of relying on plant-level averages.

Partial screenshots of typical Watt Window(R) node ("Mixer 40HP"), route card ("Sugar Cookies"), and "Today's Total"

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Recycling facilities often see rapid changes in load as material mix, throughput, or operating schedules shift.

Live visibility helps teams spot spikes early and adjust operations before costs escalate.



For customers operating in (or selling to) regions with energy or carbon reporting requirements, Watt Window provides reliable electricity-use data and derived carbon-equivalent metrics.

This supports reporting needs without capturing process recipes or sensitive operational detail.

Partial, overlapping screenshots of Watt Window(R) app showing carbon view enabled

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Watt Window installs as a read-only layer on existing electrical infrastructure.

It does not interfere with control logic or automation, making deployment feasible in active facilities or during scheduled downtime.


Watt Window provides configurable, UL-listed smart-metering and monitoring hardware designed for industrial electrical systems.

Once installed, it records frequent energy, electrical, thermal, and optional vibration data across machines and load groups. The system converts that data into dashboards showing energy consumption, load behavior, cost attribution, and carbon-equivalent emissions for electricity use.

A four-part diagram of the Watt Window(R) solution: (1) Collect signals - (2) Enrich & secure data - (3) Deliver insights - (4) Act!

Talk with our team and get a live solution overview