Process Simulation and Retrofit Optimization for Cleaner-Fuel Naphtha Distillation

This study presents a digital-twin case analysis of a South African refinery’s naphtha splitter, integrating Aspen HYSYS V12 simulation with the plant data. The objective was to balance energy efficiency with benzene control under Clean Fuels II (CF2) regulations. The Aspen HYSYS model, validated against plant data with mean absolute percentage deviations of ≈10% for light- and 14% for heavy-naphtha compositions, was used to identify two successive optimization pathways. First, tuning existing operational variables achieved a 14% reduction in total energy duty, corresponding to about US $1.4 million in annual savings, with zero capital modification. Second, introducing a low-CAPEX midcolumn side-draw to remove benzene-forming precursors further improved performance, delivering a total energy reduction of ≈33% relative to the original baseline. Together, these measures demonstrate how an existing splitter can be retrofitted for lower emissions and cleaner-fuel production. The methodology, plant-calibrated analysis coupled with staged operational and structural optimization, provides a transferable framework for energy-intensive distillation units around the globe seeking rapid, economical decarbonization.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-11-26
DOI
https://doi.org/10.1021/acs.iecr.5c03368
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Process Simulation and Retrofit Optimization for Cleaner-Fuel Naphtha Distillation

Pedro S. Dias, Nejat Rahmanian, Abbas Rajaei
Industrial & Engineering Chemistry Research
Process Optimization and Integration
article

Process Simulation and Retrofit Optimization for Cleaner-Fuel Naphtha Distillation

Pedro S. Dias, Nejat Rahmanian, Abbas Rajaei
article en

Abstract

This study presents a digital-twin case analysis of a South African refinery’s naphtha splitter, integrating Aspen HYSYS V12 simulation with the plant data. The objective was to balance energy efficiency with benzene control under Clean Fuels II (CF2) regulations. The Aspen HYSYS model, validated against plant data with mean absolute percentage deviations of ≈10% for light- and 14% for heavy-naphtha compositions, was used to identify two successive optimization pathways. First, tuning existing operational variables achieved a 14% reduction in total energy duty, corresponding to about US $1.4 million in annual savings, with zero capital modification. Second, introducing a low-CAPEX midcolumn side-draw to remove benzene-forming precursors further improved performance, delivering a total energy reduction of ≈33% relative to the original baseline. Together, these measures demonstrate how an existing splitter can be retrofitted for lower emissions and cleaner-fuel production. The methodology, plant-calibrated analysis coupled with staged operational and structural optimization, provides a transferable framework for energy-intensive distillation units around the globe seeking rapid, economical decarbonization.

Industrial & Engineering Chemistry ResearchVol. 64(49)
University of Bradford (GB), Department of Physics, Mathematics and Informatics (BY)
Openalex Percentile: Top 55%
Process Optimization and Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Process Simulation and Retrofit Optimization for Cleaner-Fuel Naphtha Distillation — Pedro S. Dias, Nejat Rahmanian, et al. · Industrial & Engineering Chemistry Research (2025) | TGRS Research Map | TGRS