Heat Integration of Isomerization Unit Using Loop Breaking

A significant portion of operating costs in process industries is spent on energy consumption; therefore, exploring heat integration methods is essential to reduce production costs without compromising product quality or performance. In this study, process data from an isomerization unit was used to simulate the process in Aspen HYSYS (V9), and the heat integration analysis was conducted using Aspen Energy Analyzer (V9). Initially, heat exchanger data was entered into the software, and the resulting heat exchanger network (HEN) was examined. To optimize energy consumption, the pinch analysis technique—specifically the loop breaking method—was applied to eliminate redundant heat loops. As a result, the number of heat exchangers was reduced from 28 to 25. This modification led to a reduction in capital cost from $2.196×10⁷ to $2.113×10⁷ and in annual cost indicator from $2.394×10⁷/yr to $2.373×10⁷/yr. Therefore, capital and annual costs decreased by 3.77 and 0.87%, respectively. These savings are attributed to the removal of unnecessary heat exchangers, which lowered both the heat duty and the surface area required. Furthermore, the applied modifications led to a noticeable improvement in energy efficiency through better heat recovery within the system. The novelty of this research lies in the integrated use of pinch analysis and loop breaking for optimizing the HEN of a real isomerization unit—an approach rarely addressed in previous industrial studies. This method provides a practical and cost-effective model for sustainable design in process industries.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
DOI
https://doi.org/10.22111/cpd.2025.51163.1049
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

Heat Integration of Isomerization Unit Using Loop Breaking

SHILAP Revista de lepidopterología
Process Optimization and Integration
article

Heat Integration of Isomerization Unit Using Loop Breaking

article en

Abstract

A significant portion of operating costs in process industries is spent on energy consumption; therefore, exploring heat integration methods is essential to reduce production costs without compromising product quality or performance. In this study, process data from an isomerization unit was used to simulate the process in Aspen HYSYS (V9), and the heat integration analysis was conducted using Aspen Energy Analyzer (V9). Initially, heat exchanger data was entered into the software, and the resulting heat exchanger network (HEN) was examined. To optimize energy consumption, the pinch analysis technique—specifically the loop breaking method—was applied to eliminate redundant heat loops. As a result, the number of heat exchangers was reduced from 28 to 25. This modification led to a reduction in capital cost from $2.196×10⁷ to $2.113×10⁷ and in annual cost indicator from $2.394×10⁷/yr to $2.373×10⁷/yr. Therefore, capital and annual costs decreased by 3.77 and 0.87%, respectively. These savings are attributed to the removal of unnecessary heat exchangers, which lowered both the heat duty and the surface area required. Furthermore, the applied modifications led to a noticeable improvement in energy efficiency through better heat recovery within the system. The novelty of this research lies in the integrated use of pinch analysis and loop breaking for optimizing the HEN of a real isomerization unit—an approach rarely addressed in previous industrial studies. This method provides a practical and cost-effective model for sustainable design in process industries.

SHILAP Revista de lepidopterología
University of Kashan (IR)
Openalex Percentile: Top 41%
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.