PETRAN unifies AI, IoT, and automated workflows to cut energy use and emissions, conserve water, reduce waste, and produce the audit-ready operational data that CSRD, ISO 50001, and GHG Protocol reporting requires - site by site, line by line, without compromising throughput or quality.
European Parliament / EU Commission
EU ETS market price 2025
ISO 50001 implementation benchmarks
PETRAN deployment benchmark
Mandatory for large EU companies (1,000+ employees). Requires Scope 1, 2, and material Scope 3 GHG emissions disclosure. Climate risk assessment and transition plans required. Double materiality assessment. First Wave 1 reports submitted 2025.
International standard for energy management systems. Requires energy baseline, energy performance indicators (EnPIs), M&V plans, and documented energy savings verification. Certification requires third-party audit.
The global standard for Scope 1, 2, and 3 greenhouse gas accounting. Requires operational boundary definition, emissions factor selection, data quality assessment, and assurance-ready calculation methodology.
Mandatory cap-and-trade for large industrial emitters (power, steel, cement, chemicals, aviation, maritime from 2024). Carbon price ~€65/tonne CO₂ in 2025. Annual verified emissions reporting required.
PETRAN’s telemetry layer connects to energy meters (electrical, gas, steam, water), production instruments (flow, temperature, pressure, speed), and control systems (PLCs, SCADA, BMS) via OPC-UA, Modbus/TCP, BACnet/IP, MQTT, M-Bus, and pulse counting - without replacing existing instrumentation. Data from all sources is time-aligned to a common timestamp and normalised to a unified asset model: energy consumption is always linked to the specific asset, production line, or zone that consumed it, not aggregated at site level.
PETRAN’s AI anomaly detection engine identifies energy waste and process inefficiency by learning the normal energy signature for each asset and operating condition, then flagging deviations. This detects losses that threshold-based energy management cannot: a compressor that is consuming 8% more energy than expected at the same output level (indicating valve wear); a heat exchanger with declining thermal efficiency (indicating fouling); a compressed air distribution header with higher-than-normal overnight pressure drop (indicating leakage growth).
Beyond detection and alerting, PETRAN’s optimisation layer actively manages energy consumption by adjusting operational setpoints within defined constraints. Model Predictive Control (MPC) calculates the optimal combination of equipment setpoints - compressor discharge pressure, chiller plant sequencing, boiler firing rate, variable-speed drive speeds - that minimises energy consumption while satisfying the production throughput and quality constraints. Optimisation recommendations are presented for operator approval; where site policy permits, PETRAN can implement setpoint changes automatically.
PETRAN’s energy and water management module implements the full ISO 50001 energy review and planning cycle: establish an energy baseline from historical metered data; define energy performance indicators (EnPIs) normalised for production volume, weather, and product mix; set energy targets; monitor actual consumption against baseline and target in real time; and produce IPMVP Option A or B measurement and verification (M&V) reports that provide documented, auditable proof of savings.
Waste generation and product yield are sustainability metrics that sit at the intersection of environmental performance and operational efficiency: every kilogram of scrap generated represents not only landfill or reprocessing cost, but also the energy, water, and raw materials consumed to produce it. PETRAN correlates real-time process conditions (temperature, pressure, speed, humidity, tooling wear) with quality outcomes (scrap, rework, non-conformance records from LIMS) to identify the specific process states that generate the highest waste rates.
PETRAN’s carbon accounting engine calculates Scope 1 (direct combustion), Scope 2 (purchased electricity - both location-based and market-based methods), and Scope 3 category 1 (purchased goods with upstream activity data where available) greenhouse gas emissions using GHG Protocol methods and a library of regional emissions factors (IEA, EPA, DEFRA, AIB) that are updated quarterly. All calculations are traceable to source meter data with the emissions factor applied and its source citation - the full audit trail required for CSRD ESRS E1 third-party assurance.
PETRAN’s workflow engine ensures that sustainability alerts do not end as dashboard notifications that no one acts on. Each AI-detected anomaly triggers a closed-loop workflow: the alert identifies the asset and anomaly type, creates a work notification in the CMMS or maintenance system, assigns it to the relevant team, tracks resolution progress, and records the verified outcome. The full cycle - from anomaly detection to corrective action confirmed closed - is logged in an immutable timeline that provides the operational evidence for sustainability programme reporting.
Well-run ISO 50001 programmes typically reduce site energy use and CO₂e per unit by 10–15% within 12–18 months. This is not a one-time gain from capital projects but a sustained, normalised reduction verified by PETRAN’s M&V framework against production and weather-adjusted baselines. Certified organisations maintain improvements year-on-year through continuous monitoring, performance tracking, and corrective action cycles.
Compressed air leak detection programmes typically save 20–30% of system energy, as many facilities lose up to 30% to undetected leaks. PETRAN’s AI identifies leaks using pressure and flow anomalies without shutdown surveys. In parallel, cooling tower optimisation reduces make-up water use by 40–50% through improved blowdown control and cycle-of-concentration management, lowering both energy and water costs.
Predictive maintenance and condition-based workflows reduce unplanned downtime by 30–36% in PETRAN deployments. The sustainability link: every unplanned stop is also an energy spike restart transients consume 3–8x steady-state energy; production backlogs require overtime runs that consume additional utilities. Preventing downtime prevents both maintenance cost and the energy penalty of abnormal operating cycles.
Mature waste diversion programmes supported by PETRAN achieve 90%+ landfill avoidance. Verified savings require M&V rigour: a defined baseline, measurement method, and tracked diversion per waste stream. PETRAN’s analytics link process conditions to waste generation, identifying root causes of scrap and rework spikes and enabling targeted corrective actions instead of treating waste as an unavoidable cost.
Duration:
2–4 weeks
| Capability | Manual Audit / Spreadsheet M&V | ESG Reporting Platform Only | PETRAN Operational Sustainability |
|---|---|---|---|
| Data source | Manual meter readings, utility invoices, spot surveys | Invoice-level utility data only; no operational layer | IoT sub-metering: asset-level, time-aligned, real-time |
| Data granularity | Monthly or quarterly; site-level aggregates | Monthly; utility account level | Sub-minute to hourly; asset/line/zone granularity |
| Anomaly detection | None - no continuous monitoring | None - invoice comparison only | AI multivariate: detects leaks, fouling, drift before they accumulate |
| M&V (verified savings) | Manual calculation; spreadsheet-based | Invoice comparison; not IPMVP-compliant | IPMVP Option A/B: metered M&V with production normalisation |
| GHG accounting | Manual Scope 1/2 from fuel/electricity invoices | Scope 1/2 from utility invoices (no Scope 3 operational) | GHG Protocol metered Scope 1/2; Scope 3 upstream hooks |
| CSRD / ESRS E1 data quality | Low: estimated or invoice-derived; fails third-party assurance | Medium: invoice-level; limited to disclosed data points | High: metered, timestamped, source-traceable; audit-grade |
| Corrective action | Dependent on manual inspection cycles | None - reporting only | Closed-loop: AI detection → CMMS work order → verified closure |
| Operational benefit | Compliance exercise only; no operational ROI | Reporting benefit; no operational impact | Dual ROI: energy/emissions reduction + operational efficiency |
| ESG platform integration | None - manual data entry | Native (this IS the ESG platform) | PETRAN → IBM Envizi / SAP Green Ledger / MS Sustainability Mgr |