Delivered Proof of Concept for industrial partner

A logistics customer operates electric forklifts. Charging currently occurs partly during active work hours, when electricity prices and CO₂ intensity are higher. We collect data from the meters, get data about green electricity and price then create several simulations with green or price optimisations

Objective: Evaluate how much electricity cost and CO₂ emissions could be reduced by optimally shifting charging within an allowed time window - unique selling point SDG7

Results over 45 days :

• CO₂ reduction (green optimization): 35.36%
• CO₂ reduction (price optimization): 22.25%

With our product we deliver two essential tools for our customers: 1. Reporting & Analysis, and 2. Control In collaboration with forklift producers, Wirtek is giving warehouses with forklifts the data and control they need to reduce their CO₂ footprint by using their data combined with CO₂-forecasts to control when to charge heavy equipment.

Pilot setup at one location, collaboration with Our partner to bring out to all warehouses with forklifts

• We install our measurement gateway device CloudIO along with electricity meters and relays
• Using the data from the devices we figure out the typical charging time
• We use EnergiNet's CO₂ forecast and create a plan
• We turn on the chargers when the forecast says it is greenest, and then turn off after it is fully charged.

Forecast APIs from EnergiNet

Industrial SMEs: Heavy machinery that requires charging

Licensing model put available to new customers