Digital Decarb – GHG Emission
Monitoring and Analysis Tool
Unlock Carbon Efficiency with Real-Time GHG Monitoring.
Physics Meets AI: Hybrid Models for Optimization
Introducing Digital Decarb, a cutting-edge solution designed to estimate, monitor, and analyze GHG emissions (Scope 1 and 2) in real time. By leveraging data on fuel types, compositions, emission sources, and other key factors, our advanced AI/ML-driven platform empowers you to perform dynamic “what-if” analyses.
This enables the exploration of alternative scenarios, assessing emissions based on varying fuel sources or configurations, and driving more informed, sustainable decision-making.
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Digital Decarb
Transform your Challenges into Opportunities
CGC Efficiency Monitoring is designed to address the critical challenges faced by industrial operations, providing advanced AI-driven solutions that not only predict and prevent potential issues but also optimize performance, reduce costs, and enhance overall efficiency
Pain Point
Inability to Estimate GHG Emission from the Unit
Benefit
Real-time estimation and monitoring of Scope 1 and Scope 2 GHG emissions.Pain Point
Difficulty in managing multiple emission sources and minimizing net emissions
Benefit
Track and manage emissions across multiple levels—from individual assets to units and up to complex multi-unit configurations.
Pain Point
High energy consumption and operational inefficiency
Analyze energy consumption and identify potential emission sources. Perform what-if analyses for alternative fuel sources or system configurations to identify the most effective decarbonization route.
Pain Point
Automated reporting system for audit purposes
Benefit
Customizable, automated reporting system for daily, monthly, or annual energy and emission data—ready for audits and regulatory submissions.
Performance Deviation Prediction
Predicts the rate of fouling in each compression stage, including associated intercoolers/ heat exchangers.
Key Parameter Monitoring
Stage-wise compressor monitoring of: Pressure rise, Temperature rise, After cooler differential pressure (ΔP), and After cooler differential temperature (ΔT)
Process and Efficiency Trends
Trend plots for:
- Wash Oil Injection
- Attemperation Water
- Antifoulant Injection
- Polytropic Efficiency (%)
- Theoretical vs. Actual Compressor Efficiency
Operational Benchmarking
Comparison plots between Current Operation vs. Recommended Operation.
Actionable Insights for Improvement
Actionable recommendations on controllable parameters (stage-wise) like Wash Water Injection, BFW Injection, Antifoulant Injection, and Fouling Rate, compared with current values
