Ant lion based optimization for performance improvement of methanol production
Methanol (CH3OH) is a versatile compound used in various industries. Catalytic reactors used in CH3OH production are expensive due to high energy and raw material costs. Multi-objective optimization (MOO) is used to optimize CH3OH production, but it is still lacking. Researchers use alternative stra...
Published in: | CHEMICAL PRODUCT AND PROCESS MODELING |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
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WALTER DE GRUYTER GMBH
2024
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Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001352006800001 |
author |
Ariff Mohd Azahar Mohd; Alwi Sharifah Rafidah Wan; Muhammad Dinie; Murat Muhamad Nazri; Azmi Ashraf; Rashid Zulkifli Abdul; Rohman Fakhrony Sholahudin |
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Ariff Mohd Azahar Mohd; Alwi Sharifah Rafidah Wan; Muhammad Dinie; Murat Muhamad Nazri; Azmi Ashraf; Rashid Zulkifli Abdul; Rohman Fakhrony Sholahudin Ant lion based optimization for performance improvement of methanol production Engineering |
author_facet |
Ariff Mohd Azahar Mohd; Alwi Sharifah Rafidah Wan; Muhammad Dinie; Murat Muhamad Nazri; Azmi Ashraf; Rashid Zulkifli Abdul; Rohman Fakhrony Sholahudin |
author_sort |
Ariff |
spelling |
Ariff, Mohd Azahar Mohd; Alwi, Sharifah Rafidah Wan; Muhammad, Dinie; Murat, Muhamad Nazri; Azmi, Ashraf; Rashid, Zulkifli Abdul; Rohman, Fakhrony Sholahudin Ant lion based optimization for performance improvement of methanol production CHEMICAL PRODUCT AND PROCESS MODELING English Article Methanol (CH3OH) is a versatile compound used in various industries. Catalytic reactors used in CH3OH production are expensive due to high energy and raw material costs. Multi-objective optimization (MOO) is used to optimize CH3OH production, but it is still lacking. Researchers use alternative strategies or modify existing ones to achieve better results. This study applied model-based optimization using an ASPEN Plus simulator and Multi-objective Ant Lion Optimization (MOALO) to address the issue. The results revealed the highest conversion and product rate, with the lowest energy cost, side product, and bare module cost, CBM. The decision variable plots indicate that the reactor's pressure significantly affects the optimal solution. This study provides valuable insight into optimizing CH3OH production. WALTER DE GRUYTER GMBH 1934-2659 2194-6159 2024 19 5 10.1515/cppm-2024-0030 Engineering WOS:001352006800001 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001352006800001 |
title |
Ant lion based optimization for performance improvement of methanol production |
title_short |
Ant lion based optimization for performance improvement of methanol production |
title_full |
Ant lion based optimization for performance improvement of methanol production |
title_fullStr |
Ant lion based optimization for performance improvement of methanol production |
title_full_unstemmed |
Ant lion based optimization for performance improvement of methanol production |
title_sort |
Ant lion based optimization for performance improvement of methanol production |
container_title |
CHEMICAL PRODUCT AND PROCESS MODELING |
language |
English |
format |
Article |
description |
Methanol (CH3OH) is a versatile compound used in various industries. Catalytic reactors used in CH3OH production are expensive due to high energy and raw material costs. Multi-objective optimization (MOO) is used to optimize CH3OH production, but it is still lacking. Researchers use alternative strategies or modify existing ones to achieve better results. This study applied model-based optimization using an ASPEN Plus simulator and Multi-objective Ant Lion Optimization (MOALO) to address the issue. The results revealed the highest conversion and product rate, with the lowest energy cost, side product, and bare module cost, CBM. The decision variable plots indicate that the reactor's pressure significantly affects the optimal solution. This study provides valuable insight into optimizing CH3OH production. |
publisher |
WALTER DE GRUYTER GMBH |
issn |
1934-2659 2194-6159 |
publishDate |
2024 |
container_volume |
19 |
container_issue |
5 |
doi_str_mv |
10.1515/cppm-2024-0030 |
topic |
Engineering |
topic_facet |
Engineering |
accesstype |
|
id |
WOS:001352006800001 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001352006800001 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1818940500819836928 |