Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method
Palm waste has gained traction in the energy industry due to its wide availability. Despite its vast potential as feedstock for downstream industries, palm wastes are still inadequately utilized in Malaysia. Conventional disposal practices of palm waste are economically inefficient and environmental...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Published: |
Italian Association of Chemical Engineering - AIDIC
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/96228/ http://dx.doi.org/10.3303/CET2189042 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.96228 |
---|---|
record_format |
eprints |
spelling |
my.utm.962282022-07-17T03:49:14Z http://eprints.utm.my/id/eprint/96228/ Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method Wong, Khai Jian Ooi, Jun Keat Woon, Kok Sin Hashim, Haslenda Liew, Peng Yen TP Chemical technology Palm waste has gained traction in the energy industry due to its wide availability. Despite its vast potential as feedstock for downstream industries, palm wastes are still inadequately utilized in Malaysia. Conventional disposal practices of palm waste are economically inefficient and environmentally unfavorable. This study adopted the multi-objective linear programming approach to design the optimal palm waste utilization pathway in Malaysia using the General Algebraic Modeling System, which maximizes profit and minimizes greenhouse gas (GHG) emissions. The 5th Pareto solution (composting: 79.31 %; anaerobic digestion (AD): 10.05 %; pelletizing: 0.35 %; briquetting: 0.37 %; biomass combined heat and power: 9.47 %; dried long fiber production: 0.42 %; carbonization: 0.02 %) that has a net profit of 5.02 x 109 MYR/y and net GHG emissions of -1.6 x 107 t CO2-eq/y is the most viable as it satisfies both objectives to a degree of satisfaction of 0.77. The 1st and 2nd Pareto solution allocates 8.74 x 109 t of solid palm wastes to electricity and heat generation and can achieve the renewable energy target under the biomass category set by the Malaysian government. 3.72 x 107 - 5.16 x 107 t of palm oil mill effluent allocated to AD in the 9th, 10th, and 11th Pareto solutions can achieve the RE target under the biogas category. This study provides insights on the best allocation of palm waste for the stakeholders to devise a proper strategy for effective palm waste utilization that is economically and environmentally viable. Italian Association of Chemical Engineering - AIDIC 2021 Article PeerReviewed Wong, Khai Jian and Ooi, Jun Keat and Woon, Kok Sin and Hashim, Haslenda and Liew, Peng Yen (2021) Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method. Chemical Engineering Transactions, 89 . pp. 247-252. ISSN 2283-9216 http://dx.doi.org/10.3303/CET2189042 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
TP Chemical technology |
spellingShingle |
TP Chemical technology Wong, Khai Jian Ooi, Jun Keat Woon, Kok Sin Hashim, Haslenda Liew, Peng Yen Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method |
description |
Palm waste has gained traction in the energy industry due to its wide availability. Despite its vast potential as feedstock for downstream industries, palm wastes are still inadequately utilized in Malaysia. Conventional disposal practices of palm waste are economically inefficient and environmentally unfavorable. This study adopted the multi-objective linear programming approach to design the optimal palm waste utilization pathway in Malaysia using the General Algebraic Modeling System, which maximizes profit and minimizes greenhouse gas (GHG) emissions. The 5th Pareto solution (composting: 79.31 %; anaerobic digestion (AD): 10.05 %; pelletizing: 0.35 %; briquetting: 0.37 %; biomass combined heat and power: 9.47 %; dried long fiber production: 0.42 %; carbonization: 0.02 %) that has a net profit of 5.02 x 109 MYR/y and net GHG emissions of -1.6 x 107 t CO2-eq/y is the most viable as it satisfies both objectives to a degree of satisfaction of 0.77. The 1st and 2nd Pareto solution allocates 8.74 x 109 t of solid palm wastes to electricity and heat generation and can achieve the renewable energy target under the biomass category set by the Malaysian government. 3.72 x 107 - 5.16 x 107 t of palm oil mill effluent allocated to AD in the 9th, 10th, and 11th Pareto solutions can achieve the RE target under the biogas category. This study provides insights on the best allocation of palm waste for the stakeholders to devise a proper strategy for effective palm waste utilization that is economically and environmentally viable. |
format |
Article |
author |
Wong, Khai Jian Ooi, Jun Keat Woon, Kok Sin Hashim, Haslenda Liew, Peng Yen |
author_facet |
Wong, Khai Jian Ooi, Jun Keat Woon, Kok Sin Hashim, Haslenda Liew, Peng Yen |
author_sort |
Wong, Khai Jian |
title |
Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method |
title_short |
Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method |
title_full |
Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method |
title_fullStr |
Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method |
title_full_unstemmed |
Multi-objective Optimization for Cascade Utilization of Palm Waste in Malaysia using Augmented ∈-constraint Method |
title_sort |
multi-objective optimization for cascade utilization of palm waste in malaysia using augmented ∈-constraint method |
publisher |
Italian Association of Chemical Engineering - AIDIC |
publishDate |
2021 |
url |
http://eprints.utm.my/id/eprint/96228/ http://dx.doi.org/10.3303/CET2189042 |
_version_ |
1739828059475804160 |
score |
13.211869 |