Energy management software turns raw consumption into decisions. With live data and automation, multi‑site teams can eliminate waste, lock in savings, and show measurable results.
1) Find and eliminate energy waste
Use real‑time and historical views to spot abnormal loads, drift, and out‑of‑hours usage—then prioritise fixes by cost and impact.
- Trend base‑load and overnight consumption
- Flag weekend/holiday anomalies
- Identify asset setpoint creep and overrides
2) Automate savings with controls
Connect insights to action: tighten schedules, enforce setpoints, and power down idle loads without constant manual effort.
- Auto‑shutdown lighting and HVAC after hours
- Event‑driven controls for peak periods
- Guardrails to prevent inefficient overrides
3) Benchmark what “good” looks like
Compare sites, meters, and assets to peers and targets to focus engineering time where it matters most.
- Rank sites by kWh/m², £/m², or intensity
- Segment by building type, hours, and climate
- Surface top and bottom performers automatically
4) Turn insights into action
Translate findings into a clear action list with owners and expected payback. Start with low‑effort, high‑return fixes.
- Optimise HVAC setpoints and deadbands
- Rationalise schedules to match occupancy
- Prioritise upgrades with fast payback
5) Prove progress with targets and M&V
Baseline usage, set goals, and track verified savings over time so finance and sustainability teams see the impact.
- Automated variance vs. baseline and weather‑normalised views
- Attribution by initiative, site, and asset
- Audit‑ready reports for stakeholders
Tip: Focus on persistent savings—tight schedules and corrected setpoints compound daily, funding longer‑term upgrades.
Bottom line: better visibility and smarter controls reduce waste, cut costs, and build momentum for continuous optimisation.
Executive summary (2‑minute read)
- Visibility exposes waste you can act on immediately
- Automation makes savings persistent without extra effort
- Benchmarking focuses time where ROI is highest
- Clear M&V builds trust with finance and sustainability
What ROI looks like
Typical quick wins deliver 5–12% energy reduction in the first 90 days, with 12–20% achievable over 12 months as controls mature.
- Base‑load reduction (nights/weekends): 3–6%
- Schedule and setpoint optimisation: 4–8%
- Fault detection and fixes: 2–6%
Mini case study
A 30‑site retail group cut electricity use by 9% in 60 days:
- Identified out‑of‑hours load at 18 sites; enforced auto‑shutdown (+4%)
- Standardised HVAC setpoints and deadbands (+3%)
- Fixed scheduling drift and overrides (+2%)
Implementation roadmap
- Discovery: Confirm scope, targets, and data sources
- Connect: Stream meters/BMS/IoT data and validate
- Pilot: Prove savings at 3–5 sites; tune controls
- Scale: Roll out standards, alerts, and reporting
Common pitfalls (and how to avoid them)
- “Set and forget” dashboards: Pair insights with owners and SLAs
- One‑off fixes that don’t stick: Automate schedules and guardrails
- Chasing every anomaly: Prioritise by cost, duration, and recurrence
“You can’t manage what you don’t measure. You can’t sustain what you don’t automate.”
FAQs
How fast can we see results?
Most teams see measurable savings in 4–8 weeks once data is connected.
Do we need new hardware?
Often no—start with existing meters/BMS/IoT. Add sensors where gaps exist.
Book a walkthrough