Energy Optimisation
MediumReducing energy consumption through smarter building operations.
The Pain
Buildings consume significant energy, but optimisation is limited. Energy is wasted through inefficient operations. Consumption patterns aren't well understood. Optimisation requires expertise that isn't always available.
What's Possible
AI can analyse building operations and identify energy savings opportunities. Consumption reduces through smarter control. Energy costs decrease while maintaining comfort.
Signals This Is Worth Exploring
Energy consumption seems higher than necessary
Building systems aren't optimally controlled
Consumption patterns aren't analysed
Energy optimisation requires scarce expertise
Impact
Reduced energy consumption
Lower energy costs
Better understanding of consumption patterns
Maintained occupant comfort
Typical Approach
Assess
Review building systems and energy data.
Pilot
Implement optimisation in selected facilities.
Scale
Extend to broader portfolio with ongoing refinement.
What to Watch Out For
Optimisation shouldn't compromise comfort
Building systems need to support control
Energy patterns vary by season
Changes need stakeholder buy-in
Questions to Think About
Before we talk, you might want to consider:
What energy data do you have from buildings?
Where do you believe energy is wasted?
What building management systems do you have?
What optimisation have you attempted?
Build On This
Once the basics are working, you can expand:
Demand response
Reduce consumption during peak periods
Fault detection
Identify equipment causing waste
Benchmark comparison
Compare buildings' efficiency
Want to explore if this fits your organization?
Book a 30-minute call to discuss your situation and whether this use case makes sense for you.
Book a 30 min call