How PWRwise solves the business problems of data centre and cloud
Five challenges every operator faces, and how the intelligence layer turns each one into specific, costed action for engineers and planners.
Cut the energy that does no useful work
A meaningful share of every bill goes on energy that never reaches productive compute: distribution losses, idle equipment and cooling that runs harder than it needs to. Without device-level visibility, nobody can say where it goes or what it costs.
- Traces every watt from grid input to IT output and flags leakage points automatically
- Compares each device with its expected consumption for the current workload
- Ranks waste by £ per year so the biggest savings are tackled first
- Tracks each fix afterwards to prove the saving was real
Engineers get a ranked fix list. Finance sees the saving in pounds.
Take control of power and cooling, unit by unit
Cooling is usually the largest load after IT itself. Units drift, valves stick and set points stay conservative "just in case". Power chains run with uneven loading and hidden losses. Each problem is small, but together they cost a lot, and they often go unnoticed for months.
- Learns what every CRAC, CRAH and chiller should be doing for the current IT load and weather
- Flags drift within hours, with a likely root cause such as valve stiction or fan faults
- Recommends safe set-point and airflow changes, with the expected £ and kWh effect
- Monitors UPS efficiency, PDU balance and branch-circuit headroom for resilience
- Shows thermal hotspots on a live digital twin of each floor
Facilities engineers get an alert with a cause, an owner and an SLA instead of a vague alarm.
| Signal | Expected | Actual |
|---|---|---|
| Outlet temperature | 20.5 °C | 24.3 °C+3.8 |
| Valve position | 62% | 87%+25 |
| Return air | 28.0 °C | 31.6 °C+3.6 |
| Fan speed | 70% | 94%+24 |
| Cooling load vs IT load | baseline | +18% |
Make every server and instance earn its power
An idle server can still draw a large share of its peak power. Research has found around 30% of physical servers doing no useful work at all, and in the cloud, oversized and forgotten instances quietly add to the bill. Utilisation is tracked by IT, energy by facilities, and nobody joins the two.
- Links CPU utilisation to measured power, so you see energy per unit of useful work
- Finds comatose and underused servers, and recommends consolidation, power capping or decommissioning
- For cloud, flags idle and oversized instances and suggests rightsizing or scheduling
- Recommends moving flexible workloads to the site, region or hour with the lowest cost and carbon
IT and platform teams get a consolidation list. FinOps gets cloud savings with an energy and carbon view.
idle5–20%20–50%50–80%80%+
Illustrative fleet for demonstration.
Plan capacity on forecasts you can trust
Planners are squeezed from both sides: capacity that runs out unexpectedly forces expensive emergency procurement, while "stranded" power and space that is paid for but never used inflates colocation and capital costs. Rising rack densities for AI make the margins thinner.
- Forecasts power, cooling and space demand weeks ahead, by hall and by site
- Runs several models and publishes only the one that passes the guardian gate
- Shows committed vs used capacity, so stranded power can be reclaimed or renegotiated
- Lets planners test scenarios such as moving load between sites before committing
Capacity planners get lead time. Leadership avoids surprise capital spend.
Report with confidence, then reduce with a strategy
Disclosure requirements are tightening. EU data centres above 500 kW now report energy and sustainability KPIs every year, and many organisations face UK SECR, CSRD or investor-led CDP reporting. Reports built from estimates and spreadsheets are slow to produce and hard to defend, and they say little about how to improve.
- Calculates Scope 2 emissions both location- and market-based, from validated meter data
- Keeps an audit trail from every reported figure back to the source reading
- Produces framework-ready outputs and tracks renewable certificates against consumption
- Models carbon strategies, from time and location shifting to cooling upgrades, and tracks progress against targets
Sustainability leads get defensible numbers. Planners get a reduction roadmap.
One view across halls, colocation and cloud
Workloads move between your own sites, colocation suites and public cloud. PWRwise measures them in the same units of energy, cost and carbon, so decisions about where work should run are based on facts.
On-premise halls
Full visibility of power, cooling and compute, from the utility meter to the rack.
- PUE, losses and cooling efficiency
- Digital twin and anomaly alerts
Colocation
Prove what you actually use against what you pay for, and bring evidence to contract reviews.
- Committed vs used capacity
- Cost per kW and per rack
Public cloud
Bring cloud usage into the same energy and carbon picture as your physical estate.
- Idle and oversized instance detection
- Cost and carbon by region and workload
From first conversation to proven savings
A typical engagement starts with one site and grows from the results.
Assess
Map the data points, systems and contracts. Agree objectives and success measures.
Connect
Read-only integration with existing meters, BMS, IT and cloud data. Sensors only where there are gaps.
Baseline
Validated baseline of energy, cost and carbon. First anomalies and quick wins identified.
Optimise
Costed actions assigned to owners. Savings tracked against the baseline.
Report
Board and disclosure reports, progress to targets, and the next set of priorities.
Timings are indicative and depend on site size and data access.
Which of these challenges costs you the most?
Tell us about your estate and we'll show you, with your own data, where PWRwise would make the biggest difference.