Aurubis
AI optimization of Hamburg steam generation
Aurubis reported €100,000 in first-month savings from AI-controlled steam generation
Problem
Hamburg's steam production could use electricity or gas, creating an opportunity to respond to changing energy prices.
Approach
Aurubis teams developed an AI system that entered operation in August 2024. It estimated steam and electricity demand every 15 minutes using process data and compared market prices. The system selected electric steam generation at low electricity prices and switched to gas when electricity became more expensive.
Results
Takeaway
The system connected demand estimates to an existing choice of energy sources. The reported savings covered its first month of operation.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Goal
- Cost savings
- Evidence
- Company's own claim
Sources
Source summaries
Aurubis described the Hamburg system's demand estimates and automatic selection of steam-generation equipment. It reported €100,000 saved in the first month; its annual savings figure was a projection.
Full details are in the original sources.