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FROM BASELINE TO RESULTS
How actionable insights lead to sustainable impact
Decarbonisation isn’t a straight line — it’s a journey shaped by insight, clarity, and practical action. From understanding your starting point to measuring progress and reporting impact, these stories highlight how data becomes strategy — and strategy becomes real-world results.
Dublin Airport Authority
Where assumptions needed real data
The daa entered the feasibility study with a firm belief about their heating and cooling requirements. Moving ahead on those assumptions could have locked them into millions of euros of investment for a system that might not deliver. The platform changed that. It showed where energy was actually needed and for what purpose. It revealed waste that could be reduced and separated genuine demand from inherited assumptions. This clarity gave daa a stronger footing for any future heat pump solution.
43%
Lower peak demand solution discovered
2.5x
smaller footprint possible
€656k
annual energy savings modelled
TURNING COMPLEXITY INTO CLARITY
Data that uncovered the real requirements
The first step was understanding the load. Monitoring revealed waste that had gone unnoticed and showed that the highest temperature need came from domestic hot water, not the wider heating system. Separating these demands allowed daa to meet hot-water needs with a smaller dedicated solution. The remaining heating system could then run at lower temperatures through the year, much closer to ideal heat pump conditions.
Seeing what the site Uncovering waste, saving millionsneeded
The data made the true loads visible. It showed how each part of the system behaved and where energy was being used unnecessarily. This helped daa understand the gap between perceived requirements and measured reality.
Insights that change the course of action
Once the loads were broken out, daa could see the temperature ranges that actually mattered. This made it possible to match heat pump operation to real outdoor conditions and remove the inefficiencies created by running the system at one fixed high temperature.
A clearer path to the right solution
The fine-grain analysis showed that geothermal offered a lower peak electrical demand and a stronger annual efficiency profile. This aligned with daa’s criteria for success. These insights were only possible because the load data was accurate, detailed, and reliable.
