Optimises fuel, steam and power across the site
- Who we serve
- Private Sector
- Category
- Energy, utilities & resources
- Value
- Cost
- Human role
- Human monitors, can halt
- Maturity
The problem
Without energy & steam-system optimisation, teams in refining & petrochemicals carry this work manually, case by case, working through utility data by hand, with the cost, delay and error rate that implies.
How it works
Energy & steam-system optimisation optimises fuel, steam and power across the site. The approach relies on ML, optimisation. It draws on utility data and is typically owned by teams in refining & petrochemicals. The main constraint is interaction with process constraints. Where the human comes in: within limits. It is scaled at leading organisations and piloted elsewhere; examples include Refiners.
Where the human comes in
Within limits
What it needs
Utility data
What to plan for
Interaction with process constraints
In the field
Refiners
Public deployments by other organizations, listed for context. Not Sphere projects.