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Optimizing Reflux Ratio for Energy Efficiency & Product Quality

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Ocean tower 2, Unit 23 floor, 75/46 Soi Sukhumvit 19 (Wattana), Sukhumvit Road, North Klongtoey, Wattana, Bangkok 10110
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Company Background

SCG Chemicals Public Company Limited (SCGC) is a leading integrated petrochemical producer in Southeast Asia. Within its manufacturing network, the TMMA unit operates energy-intensive distillation systems that must meet strict impurity specifications while maintaining competitive energy efficiency. 
Distillation performance directly influences operating cost, product quality compliance, and plant profitability. 

Challenges

The distillation column was required to meet multiple impurity constraints simultaneously (e.g., MiB, MCr, MA, Water). Operational practice was conservative: 
  • High reflux ratios to guarantee quality 
  • Limited operating experience near specification limits 
  • Minimal historical data in low-reflux operating regimes 
  • Manual review of historian data 
  • No predictive understanding of impurity sensitivity 
Data resided across multiple process historians within the plant. Engineers relied heavily on spreadsheets and static analysis, limiting their ability to confidently reduce reflux without risking off-spec production.  This created excessive energy consumption and operational rigidity. 

Solution

SCG TMMA implemented a data-driven reflux optimization framework by integrating plant historians into Seeq for centralized and contextualized analytics.
1. Historian Connectivity
Process data streams including: 
  • Reflux flow 
  • Column temperatures 
  • Feed rates 
  • Impurity lab measurements 
  • Pressure profiles 
were connected from multiple historians and streamed into Seeq in real time. This eliminated manual data extraction and enabled full column behaviour visibility. 
2. Self-Service Process Analytics Using Seeq Workbench, process engineers independently developed impurity sensitivity models.  Capabilities included: 
  • Multivariable correlation analysis between reflux and impurity levels 
  • Identification of constraint-governing impurities 
  • Good-run vs bad-run operating state comparison 
  • Statistical filtering for steady-state operation 
Engineers could now quantify how each impurity responded to incremental reflux changes instead of relying on conservative heuristics.  This self-service model-building allowed rapid iteration and direct ownership by process engineers. 
3. Operational Decision Support Analytics were translated into intuitive visual dashboards showing: 
  • Reflux vs impurity performance envelopes 
  • Governing constraint identification 
  • Safe operating windows 
Operators could confidently move toward minimum feasible reflux while maintaining all specifications. 

Benefits

Operational Efficiency 
  • Reduced unnecessary over-refluxing 
  • Lower steam and energy consumption 
  • Improved distillation column stability 
Product Quality & Compliance 
  • Clear identification of governing impurity constraints 
  • Increased confidence operating closer to specification limits 
  • Reduced risk of off-spec batches 
Sustainability 
  • Lower energy intensity per ton of production 
  • Reduced carbon footprint from steam generation 
Organizational Impact 
  • Eliminated spreadsheet-based analysis 
  • Engineers empowered with self-service advanced analytics 
  • Established repeatable optimization methodology applicable to other columns 

Cost Saving

Energy reduction in distillation systems represents one of the largest controllable operating costs in petrochemical plants. 
To review the quantified steam savings model, energy intensity reduction framework, and annualized financial impact, connect with us for a detailed cost-saving assessment specific to reflux optimization. 
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Contact Us

Ocean tower 2, Unit 23 floor, 75/46 Soi Sukhumvit 19 (Wattana), Sukhumvit Road, North Klongtoey, Wattana, Bangkok 10110

+66994200465 | +66 2 258 6228 

Mon – Fri: 8:30hrs – 17:30hrs