What makes a fair cooling comparison.
Lower electricity consumption becomes meaningful when workload, system boundaries and thermal conditions support the comparison.
Define the system boundary first.
What is being measured: a fan, a cooling loop, the entire cooling plant or the data center? The boundary determines the claim. Less electricity at one pump does not automatically mean less energy for the whole cooling system.
PUE and cooling energy are also different quantities. PUE relates total data center energy to IT energy. Evaluating a specific cooling change requires an appropriate boundary and measurements for the affected equipment.
Establish comparable conditions.
IT load, outdoor and inlet temperatures, and initial state affect the result. A before-and-after comparison should document these variables and account for their influence. Measurement duration and sampling rate must match system dynamics.
Energy evaluation should include thermal consequences: temperatures, limit violations and potential performance constraints. Savings are meaningful in the context of the agreed operating conditions.
What our website demo shows.
The Thermal Lab uses a simplified single-node model with thermal capacity and control-dependent heat removal. Both strategies receive identical load, a 22 °C inlet and a 60 °C initial temperature. The static strategy holds its control input at 82%. The adaptive strategy uses load feedforward and temperature feedback with a model target of 60 °C.
Electrical power follows an illustrative cubic curve. These parameters do not represent a specific installation. The charts explain a relationship; they are not pilot measurements, validation of the arflo product or a savings forecast.
Further technical reading
ENERGY STAR · Recommendations for Measuring and Reporting Data Center Efficiency ↗