Refining performance.
Simulated in ENERWISE.
Python · Streamlit · Plotly · Pandas
Carbon Management
My Python platform connects refinery energy performance, carbon accounting, optimization projects and heat integration.
Request an ENERWISE demoEnergy & carbon dashboards
Refinery energy dashboard
Energy use, costs, targets and EII; $4.25M/year optimization potential and 26,399 tCO₂/year saving target.
Refinery carbon dashboard
Scope 1–3 emissions, reduction opportunities and carbon intensity: 520.379 kgCO₂e per tonne of crude in this view.
Optimization projects & carbon inventory
From energy opportunities to projects
Operational actions and investment projects: boiler and fired-heater excess air, turbine condenser pressure, variable-speed drives and heat recovery.
Carbon reduction actions & projects
Individual reduction estimates for operating improvements, heat recovery, variable-speed drives and amine CO₂ capture.
Traceable Scope 1–3 carbon inventory
Draft inventory: 925,733 tCO₂e/year, with activity data, emission factors, sources and scope-by-scope detail.
Pinch analysis & preheat-train retrofit
Preheat-train heat integration retrofit
Solution 2: hot/cold streams, exchanger shells and residual utilities. Total annualized cost (TAC): $930.66/h, approximately $930/h.
Composite curves & pinch targets
Composite and shifted composite curves for the retrofit case, with ΔTmin = 20°C and the thermodynamic pinch identified.
Simulated case · Optimization potential and selected retrofit results · Each screenshot retains its displayed calculation state.