PETRAN’s AI and IoT operational sustainability platform helps industrial teams optimise energy and water use, reduce waste, and track emissions across sites and production lines. Turn connected operational data into measurable savings and traceable evidence for energy management, carbon accounting, and sustainability reporting.
Energy waste, water losses, and inefficient equipment increase operating costs every day. Delayed reporting and disconnected data make it difficult to identify problems, assign corrective actions, and measure sustainability improvements.
Hidden energy and water costs: Off-shift consumption, leaks, and inefficient equipment can waste resources for weeks before utility bills reveal higher usage.
Disconnected operational data: Separate meters, PLCs, SCADA systems, and maintenance records make it difficult to pinpoint the assets and processes driving inefficiency.
Reporting without corrective action: Sustainability reports may highlight trends but leave teams without clear priorities, assigned owners, or tasks to reduce waste and emissions.
Monitor electricity, gas, steam, and compressed-air consumption using available meters to identify waste across sites, systems, and assets.
Combine operational activity data with selected emission factors to support CO₂e calculations and consistent sustainability reporting.
Track water consumption and available discharge measurements to identify abnormal usage and investigate potential losses.
Connect equipment loading, temperature, vibration, and other available signals with resource consumption to investigate inefficient operation.
Monitor electricity, fuel, steam, and compressed-air consumption to identify energy waste and improve industrial energy efficiency.
Calculate operational greenhouse gas emissions using activity data and documented emission factors within defined reporting boundaries.
Track industrial water consumption and discharge measurements to identify potential losses and improve water efficiency.
Connect equipment health with resource consumption to identify inefficient operation and prioritise maintenance.
See
Live data from the meters, SCADA and BMS you already have, down to every asset and production line.
See
Catches the 8% energy creep, the slow leak and the fouled exchanger that threshold alarms never see.
See
Site league tables and executive dashboards show which plants lead, which lag, and why.
Act
Adjusts setpoints, sequencing and peak loads automatically, within your throughput and quality limits.
Act
Links process conditions to scrap, rework and landfill, so waste becomes a root cause you can fix.
Act
Every alert becomes a tracked, closed work order in your CMMS, so detection always ends in correction.
Prove
IPMVP-grade proof of every energy and water saving, normalised for production and weather.
Prove
Scope 1 and 2 emissions traceable to the meter, with Scope 3 support, ready for ISO 50001 audits and CSRD assurance.
Turn sustainability from a cost centre into a measurable return. PETRAN verifies every energy, water and carbon saving to IPMVP measurement and verification (M&V) standards. The figures in your annual report and board pack are recurring, normalised and defensible.
KPIs you’ll track: Verified savings · Energy cost per unit · Payback period
Replace invoice-based estimates with metered, source-traceable Scope 1 and 2 emissions data. PETRAN calculates emissions to GHG Protocol methods and produces ISO 50001 and CSRD ESRS E1 evidence from one dataset, ready for third-party assurance.
KPIs you’ll track: Scope 1 & 2 CO₂e · Energy intensity · Water intensity · Waste diversion rate
Find exactly where energy, water and materials are lost on every production line. Real-time energy monitoring and AI optimisation cut consumption within your throughput and quality limits, using the meters and control systems already installed.
KPIs you’ll track: kWh per unit · OEE · Scrap and rework rate
Every unplanned stop costs twice: once in repairs, and again in the restart energy spike. PETRAN’s condition-based monitoring detects leaks, fouling and equipment degradation early. It then routes each issue to your CMMS as a prioritised work order.
KPIs you’ll track: Unplanned downtime · Compressed-air efficiency · Steam efficiency · Chiller COP
Well-run ISO 50001 energy management programmes typically cut site energy use and CO₂e per unit of output by 10–15% within 12–18 months. PETRAN sustains those gains year on year through continuous monitoring, AI anomaly detection and corrective action. Every reduction is verified against normalised baselines.
Many facilities lose up to 30% of compressed-air energy to undetected leaks. PETRAN’s AI finds them from pressure and flow anomalies, with no shutdown survey, typically saving 20–30% of system energy. Cooling-tower optimisation adds a 40–50% cut in make-up water through better blowdown and cycles-of-concentration control.
Predictive, condition-based maintenance reduces unplanned downtime by 30–36% in PETRAN deployments. That is also a sustainability gain: restart transients consume 3–8× steady-state energy, and production backlogs drive extra overtime runs. Preventing the stop prevents both the repair bill and the energy penalty.
Mature waste diversion programmes supported by PETRAN achieve 90%+ landfill avoidance. Analytics link process conditions to scrap and rework spikes, so teams fix root causes instead of absorbing waste as a cost. Diversion is tracked per waste stream against a defined M&V baseline.
Share your sites, utilities, and annual energy spend to receive an indicative savings and payback estimate-before committing to a project.
| Capability | Spreadsheet M&V and Manual Audits | ESG Reporting Software | PETRAN Operational Sustainability Platform |
|---|---|---|---|
| Data source | Manual meter readings, utility invoices, spot surveys | Utility invoices and imported activity data | Metered data from existing meters, SCADA, BMS and IoT sensors |
| Data granularity | Monthly or quarterly, site level | Monthly, utility-account level | Sub-minute to hourly, asset, line and zone level |
| Waste and anomaly detection | Periodic audits only | Invoice-to-invoice variance only | Continuous AI detection of leaks, fouling and drift |
| Savings verification (M&V) | Manual spreadsheet calculations | Before-and-after invoice comparison | IPMVP Option A/B, metered and normalised for production and weather |
| GHG accounting | Manual Scope 1 and 2 from fuel and electricity invoices | Broad Scope 1, 2 and 3 coverage from invoices and activity data | GHG Protocol Scope 1 and 2 from metered data, with Scope 3 where operational data exists |
| CSRD / ESRS E1 evidence quality | Low: estimates and manual entry raise assurance risk | Medium: invoice-level totals with limited traceability to assets | High: timestamped, source-traceable and audit-ready |
| Corrective action | Depends on manual inspection cycles | None: reporting only | Closed loop: AI detection → CMMS work order → verified closure |
| Business value | Compliance exercise with no operational return | Consolidated reporting and disclosure | Dual ROI: lower energy and emissions plus operational efficiency |
| ESG platform integration | Manual data entry | Native: it is the reporting platform | Feeds IBM Envizi, SAP Green Ledger and Microsoft Sustainability Manager via API |
Review your Scope 1 and 2 data sources, emission factors, and calculation methods with our team to identify evidence gaps and strengthen readiness for independent assurance.
Protect operational sustainability data with encryption, role-based access, and audit trails across users and sites.
Connect meters, sensors, PLCs, SCADA, and building management systems to unify resource and equipment data.
Exchange data with ERP, CMMS, EAM, and sustainability reporting platforms through APIs and connected workflows.
Deploy PETRAN in the cloud, on-premises, or through a hybrid edge architecture to match your infrastructure and data requirements.
Start with a high-impact system-compressed air, steam, or chillers-and scope a focused PETRAN pilot to identify waste and measure savings against an agreed baseline, with minimal operational disruption.
