Results

Measured energy management should create measurable commercial value.

Dexvron uses monitoring, analysis and advisory support to help organisations move from suspected waste to tracked savings, better asset performance and clearer reporting evidence.

Best.Energy network proof

7-Eleven Denmark: 2.7 million kWh saved across 120 stores.

Best.Energy network case evidence shows how multi-site monitoring can create visibility across store energy patterns and help identify operational and equipment-driven waste. Dexvron brings the same technology stack and partner-network learning to Australian clients.

This is a public Best.Energy case study from the wider network and is included as platform evidence, not as a direct Dexvron project claim.

Network case metrics
120 stores
2.7MkWh saved
11.52%average reduction
24/7monitoring visibility
<24motypical payback target

Results depend on tariff, asset profile, operating discipline and implementation pace. Dexvron uses site data to make the business case specific before recommending a rollout.

Network evidence

Use proof as a starting point, then make the case specific.

Best.Energy's public case-study library includes examples across convenience retail, quick-service restaurants, education, grocery and other multi-site environments. Dexvron uses this wider evidence base to frame the questions, then relies on each client's real site profile to shape recommendations.

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Multi-sitePortfolio benchmarking and exception detection
Asset-ledHVAC, refrigeration, lighting and process load visibility
MeasuredSavings connected to monitored energy patterns
ReportableEvidence that supports cost, carbon and ESG conversations

Source: Best.Energy case studies.

Outcome patterns

Where measured energy programs typically uncover value.

These anonymised examples show the types of opportunities Dexvron looks for during early scoping and monitoring review.

01

Out-of-hours operation

A site appears normal in monthly bills, but interval data reveals plant running after trading or occupancy hours. The opportunity is schedule correction, controls review and governance.

02

Asset drift and faults

HVAC, refrigeration or process loads gradually move outside expected patterns. Monitoring creates earlier maintenance signals before comfort, reliability or cost worsens.

03

Portfolio variance

Comparable sites perform differently despite similar use. Benchmarking helps leaders focus action on the sites, behaviours and assets most likely to return value.

Anonymised opportunity examples

Mini-cases that show how energy waste becomes visible.

These are representative patterns, not client claims. They show the kinds of findings a review or monitored program can prioritise.

FM

Commercial building baseload

A commercial facility shows a high overnight baseload even when occupancy is low. Sub-circuit monitoring points to HVAC auxiliaries and lighting zones operating outside intended schedules.

  • Likely action: controls and schedule review
  • Evidence: before-and-after runtime profile
QSR

Food service refrigeration drift

A restaurant portfolio has similar sites with very different refrigeration energy patterns. Load profiling highlights abnormal runtime and possible maintenance or door-seal issues.

  • Likely action: maintenance triage
  • Evidence: exception ranking by site
IND

Manufacturing demand peaks

An industrial site experiences repeated peak demand events linked to equipment start-up sequences. Monitoring helps isolate the timing and operational cause.

  • Likely action: sequencing and controls review
  • Evidence: demand profile and event log
Savings calculator

Frame the size of the prize in under a minute.

This is an indicative estimate for early scoping. An Energy Waste Opportunity Review will use your tariff, interval data, operating hours and site conditions.

Use this estimate for discussion only. Dexvron can refine the range after reviewing site and tariff data.

CostReduction opportunities expressed in dollars and payback.
CarbonEnergy savings translated into emissions reporting inputs.
AssetsEquipment exceptions identified early enough for action.
GovernanceEvidence leaders can use in ESG and operational reporting.
Frequently asked questions

Common questions about savings evidence.

Are the case study figures Dexvron client results?

No. Best.Energy network case studies are used as platform evidence. Dexvron will use your own site data to frame any savings model.

How reliable is the calculator?

It is an early scoping tool only. A real opportunity view should use your tariff, site profile, interval data, operating hours and asset context.

What counts as evidence of savings?

Evidence can include before-and-after load profiles, monitored runtime changes, demand reduction, adjusted baseload and documented operational actions.

Can savings evidence support carbon reporting?

Yes. Measured electricity reductions can be translated into emissions and governance inputs when boundaries, data sources and actions are recorded.

Want a savings model based on your real sites?

Send Dexvron a representative bill, interval data sample or site profile and we will help identify the best first sites to assess.

The output is a practical opportunity view, not a generic estimate: priority sites, likely waste patterns and the evidence required to validate savings.

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