Energy analytics for HVAC performance

Understand your energy use. Verify your savings.

Radr helps you establish energy baselines, identify operational inefficiencies and assess savings from HVAC improvements, including NanoRefrigerant projects.

Savings analysisSample data
Saved against the baseline since the retrofit
87 MWh 16% lower
MWh / week02550RetrofitAprMayJunJulAugSepmeasuredbaselinesaving
Measured use against its baseline.

The product

See what your data can tell you

The outputs behind better energy decisions: a starting point, the unusual consumption worth investigating, and the impact of a change.

Understand the performance your project will be compared against.

BaselineSample data
R² 0.86 baseline model, 91 days
kWh / day0k2.5k5k7.5k10k26283032outdoor temperature, °C (daily mean)weekdayweekendBaseline model, R² 0.86
Daily energy against outdoor temperature, with the fitted baseline.

HVAC and NanoRefrigerant

Clearer evidence for HVAC projects

Understand performance before an HVAC improvement and assess it afterwards. Radr supports the analysis around projects such as NanoRefrigerant treatment, using the available measurements and a suitable comparison method.

Explore HVAC applications About Ecoflow’s ACWISE NanoRefrigerant (opens in a new tab)

  1. Baseline before treatment

  2. Record the intervention

  3. Analyse the reporting period

A NanoRefrigerant applicationPhotograph
A water-cooled chiller in a plant room: the compressor sits above a long horizontal shell, with insulated pipework and an orange support frame behind.
A water-cooled chiller's compressor, treated with NanoRefrigerant.

Customer finding

A finding from an existing chiller plant

A commercial-property engagement in Malaysia, client anonymised, found that most of a chiller plant’s energy use fell outside occupied hours. It gave the operator a clear view of the plant’s operating pattern, and a baseline for reviewing a planned upgrade.

Read the case study
Chiller plant energy use by occupancyMeasured
76.4%outside occupied hours
23.6%during occupied hours
Share of the plant’s measured energy use. This is a split, not a savings figure.Measured intervals only. Gaps are excluded and counted, not filled.
158%night-time use as a share of day-time use.

Getting started

Start with the data you have

Tell us what your site already records. We will explain which questions that data can answer.

  1. 1

    Review your data

    Identify the records available and check their usability.

  2. 2

    Establish the baseline

    Choose a comparison suited to the site and project.

  3. 3

    Analyse and report

    Review findings and assess the effect of an improvement.

  • Monthly bills may support an initial whole-building assessment.
  • Interval readings support a closer look at timing and operating patterns.
  • Equipment or BMS data may support equipment-level analysis.

See what your building data can tell you

A walkthrough against your own data. Discuss your site or project with us.