Industrial Complex
Deploy at each factory's main incoming only. Then aggregate the whole complex, enable an internal energy market, help factories buy demand in advance and open a voluntary shutdown market.
Each factory requires a monitoring device at their main incoming meter only. No per-machine sensors, no access to internal distribution boards, no disruption to operations. The device connects to the secure Zimanergy cloud via WiFi or LTE.
Two perspectives
Plug-and-play. No internal installation.
Understand your own usage patterns for the first time.
All historical consumption data is available for analysis and contract negotiation.
Buy expected electricity demand in advance at a lower price.
Earn credits by reducing load when the complex signals high demand.
Aggregate intelligence across all factories.
Real-time aggregate electricity consumption across every factory.
Which factory is consuming what — in real time and historically.
Forecast total demand to negotiate better supply contracts.
Coordinate demand across factories, reduce peaks and manage costs.
Internal energy market
Every factory's consumption streams continuously. The manager sees total and per-factory demand in real time.
Correlations between each factory's consumption, weather conditions and other variables are continuously updated.
Factories predict their consumption and purchase electricity at pre-agreed lower prices.
Factories signal willingness to reduce load; the platform coordinates reductions and generates settlement data.
Each factory needs only a monitoring device at their main incoming meter — one installation point, no internal access. The device connects to the cloud via WiFi or LTE without disrupting factory operations.
Factories voluntarily reduce load in exchange for compensation when the complex signals high demand. The platform identifies factories with flexibility, coordinates reductions and manages settlement.
Yes. Each factory has its own account with access only to its own data. The complex manager sees aggregate and per-factory data but not a factory's internal operational data.
The factory uses historical consumption data and platform forecasting to predict electricity needs for the coming period. This forecast supports negotiation of a lower advance purchase rate.
Request a demo of multi-factory energy management and the internal energy market.
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