Make All Operation More Sustainable-In Real Time
PETRAN unifies AI, IoT, and workflows to cut energy use and emissions, conserve water, reduce waste, and prove results, site by site, line by line
What Ombrulla Mean by Operational Sustainability
Operational sustainability turns everyday production decisions into measurable environmental improvements—without compromising throughput, quality, or safety. Using AI + IoT, Ombrulla captures real‑time data across utilities, processes, and assets, then predicts, prescribes, and automates actions that lower kWh, m³, and tons of CO₂e, while sustaining operational performance.
Business Benefits
Lower Operating Cost
Reduce energy, water, and materials spend with continuous optimization and automated setpoint control.
Verified Emissions & ESG
Automate GHG accounting and audit-ready evidence for internal and external reporting.
Resilient Operations
Detect anomalies early, prevent wasteful downtime, and maintain quality during demand or pricing shocks.
Scalable Governance
Standardize policies and KPIs across plants; replicate best practices in weeks, not quarters.
What We Monitor — From Energy and Emissions to Process and Asset Health
PETRAN gives you a single, trusted view across energy and utilities (electricity, steam, gas, compressed air, chilled/hot water, renewables), emissions and carbon (combustion data with CO₂e factors, optional fugitive/flaring), water and effluents (intake, process, cooling, discharge with conductivity/temperature), and end-to-end process & asset health (temperature, pressure, flow, speed, torque, quality, vibration, power quality, loading, start/stop) so you can pinpoint losses, prove compliance, and act before issues become downtime.
Energy & Utilities
Monitor electricity, steam, gas, air, water, and renewables to identify losses and load profiles.
Emissions & Carbon
Capture combustion and activity data, calculate CO₂e using regional factors, and include fugitive and flaring emissions.
Water & Effluents
Track water intake, process & discharge with conductivity and temperature to optimize cycles and ensure compliance.
Process & Asset Health
Measure temp, flow, pressure, speed, torque & quality with vibration, power & load data to detect faults.
Core Capabilities-Where AI, IoT, and Action Converge
Unify real-time telemetry with AI-driven anomaly detection, optimization, and closed-loop workflows to cut energy, water, and carbon while lifting yield and uptime. PETRAN ingests plant data at scale, spots inefficiencies before they become losses, automates corrective actions, and streamlines ESG reporting—all through open, secure integrations with your historians, control systems, and enterprise apps.
Real-Time Telemetry
Continuously ingest meters, sensors, and PLC signals (energy, utilities, process variables) for time-aligned visibility across assets.
AI Anomaly Detection
Detect leaks, steam-trap failures, drift, fouling, compressed-air losses, and suboptimal cycles with evidence-backed alerts.
Optimization & Control (MPC)
Apply advanced control to hit target throughput while minimizing kWh, m³, and CO₂e per unit.
Energy & Water Management
Run ISO 50001-aligned baselines, targets, and M&V to verify savings and sustain improvements.
Waste & Yield Intelligence
Correlate scrap and rework with process conditions and asset health to pinpoint root causes and reduce losses.
Carbon & ESG Reporting
Calculate Scope 1–2 (with integrations for Scope 3) and auto-assemble GHG-aligned evidence packs for disclosures.
Event-to-Action Workflows
Drive every alert to root cause, corrective action, and verification with closed-loop tracking.
Open, Secure Integrations
Connect historians, BMS/SCADA, LIMS, EAM/CMMS, ERP, and data warehouses with enterprise-grade RBAC/SSO, audit trails, encryption, and cloud/on-prem/VPC options.
Why Ombrulla
One Source of Truth for Operations
A unified data fabric merges production, utilities, and asset health into a single model, enabling faster decisions and cross-functional accountability.
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Edge + Cloud AI for Results Now and at Scale
Sub-second detection at the site keeps lines running, while fleet-level learning in the cloud compounds gains across plants.
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Open by Design, No Lock-In
Standards-based integrations plug into your existing systems, protect prior investments, and keep switching costs under control.
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Enterprise-Grade Trust & Adoption
Human-centered UX drives operator and engineer buy-in, backed by governance, RBAC/SSO, audit trails, and encryption that satisfy enterprise requirements.
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KPIs & Proof of Impact
Energy & Carbon Intensity
Well-run programs typically reduce site energy use and CO₂e per unit by ~10–15% within the first 12–18 months, normalized for weather, utilization, and product mix.
Reliability & Downtime
Predictive maintenance and condition-based workflows commonly cut ~30–36% of unplanned downtime, lifting throughput and OEE without major capex.
Utilities (Air & Water)
Systematic leak management and tower optimization often save 20–30% of compressed-air load and trim cooling-tower make-up by ~40% with blowdown reductions near ~50%.
Waste & Verified Savings
Mature diversion programs reach ~90% landfill avoidance, with savings validated via measurement & verification baselines and operational normalization.
Use Cases by Domain
Compressed Air Leak Intelligence
- Detect, rank, and schedule fixes; quantify kWh and CO₂e savings.
Boiler & Furnace Optimization
- Tune excess air and loads; predict fouling; minimize fuel/ton output.
Chiller Plant Efficiency
- Optimize sequencing and setpoints to reduce kW/ton.
Demand Response & Peak Shaving
- Predict peaks and automatically orchestrate load shifts.
Faq
A software layer that unifies real-time data from meters, sensors, and systems to reduce energy, emissions, water, and waste—without hurting throughput or quality. It turns daily operations into measurable sustainability outcomes.
IoT provides real-time visibility; AI detects anomalies, predicts inefficiencies, and prescribes actions. Together they sustain savings beyond one-off audits or campaigns.
High energy spend, hidden leaks (air/water/steam), process drift, equipment inefficiency, ESG reporting gaps, and site-to-site inconsistency.
Yes. PETRAN connects via OPC-UA, Modbus/TCP, BACnet, MQTT, REST APIs, and data warehouse connectors.
Energy intensity (kWh/unit), fuel usage, CO₂e (Scope 1 & 2, with hooks for Scope 3), water intensity (m³/unit), waste/diversion, and related production KPIs like OEE.
By combining metered usage with emissions factors (grid/fuel) and applying GHG Protocol calculation methods. All results are traceable to source data.
Yes. Baselines, normalization, M&V, and audit trails align with ISO 50001 energy management practices and GHG Protocol accounting.
Compressed-air leak intelligence, boiler/furnace optimization, chiller plant sequencing, steam-trap monitoring, water balance, heat-exchanger fouling detection, waste reduction via process analytics, and demand response/peak shaving.
Many sites see quick wins in 4–12 weeks once metering gaps are closed and optimization rules go live. Larger optimizations compound as models learn.
Basic utility meters (power, gas, water, steam), key process variables (flow, temperature, pressure), and production context (units, shifts). PETRAN can add low-cost sensors to fill gaps.
Automated validation (plausibility, drift, missingness), sensor health checks, and reconciliation against baselines keep KPIs trustworthy.
Both. You can start with guidance playbooks; where permitted, PETRAN can close the loop (e.g., setpoint optimization, equipment sequencing).
Measurement & Verification (M&V) compares normalized baselines to post-implementation performance, with weather/production adjustments and full audit trails.
Role-based access/SSO, encryption in transit/at rest, audit logs, tenant isolation, and deployment options (cloud, on-prem, private VPC).
Yes. Edge gateways bridge legacy PLCs and modern sensors so you can modernize incrementally.
Typically a platform subscription plus any incremental sensors/gateways and optional professional services for rollout and tuning.
Operations leaders, energy/sustainability managers, process engineers, maintenance, and finance/ESG reporting teams.
Energy & water intensity, CO₂e per unit, verified savings, top loss drivers, alarm precision, compliance status, and site league tables to drive accountability.
Yes—by integrating supplier/transport/activity data where available and linking operational changes to upstream/downstream impacts.
Pilot a high-impact line or utility, fix metering gaps, deploy AI models, validate savings with M&V, then template to additional sites.
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