Compressor instability & control optimisation — retail supermarket chain

During the measurement period both branches operated in part-load, with compressors starting and stopping every few minutes. The Dynamic Fingerprint Baseline revealed that compressor energy consumption was consistently above the expected curve for the actual operating conditions, confirming that the control strategy was the primary driver of excess energy use. After adjusting the staging logic to better match actual demand, compressor cycling frequency dropped significantly and the system COP KPI improved measurably against the baseline within the first weeks of operation.

ClimaWISE isentropic efficiency tracking flagged one compressor as consistently underperforming relative to its counterpart. The discharge temperature deviation pointed to a possible issue with oil management or refrigerant flow. After a targeted inspection, the root cause was identified and corrected. Post-intervention isentropic efficiency aligned with the expected KPI range and normalised against the Dynamic Fingerprint Baseline.

The Dynamic Fingerprint Baseline for overnight periods — when heat load should be minimal — showed actual energy consumption significantly above the modelled curve. This confirmed that short cycling was driving excess consumption beyond what operating conditions could explain. Adjusting the control bandwidth and staging thresholds extended cycle times, brought overnight consumption back in line with the baseline, and reduced unnecessary mechanical wear.