Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals
A petroleum refinery heavily depends on crude oil as its main feedstock to produce liquid fuels and chemicals. In the long term, this unyielding dependency is threatened by the depletion of the crude oil reserve. However, in the short term, its price highly fluctuates due to various factors, such as...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Polymers |
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| Online Access: | https://www.mdpi.com/2073-4360/12/5/1091 |
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| author | Wegik Dwi Prasetyo Zulfan Adi Putra Muhammad Roil Bilad Teuku Meurah Indra Mahlia Yusuf Wibisono Nik Abdul Hadi Nordin Mohd Dzul Hakim Wirzal |
| author_facet | Wegik Dwi Prasetyo Zulfan Adi Putra Muhammad Roil Bilad Teuku Meurah Indra Mahlia Yusuf Wibisono Nik Abdul Hadi Nordin Mohd Dzul Hakim Wirzal |
| author_sort | Wegik Dwi Prasetyo |
| collection | DOAJ |
| description | A petroleum refinery heavily depends on crude oil as its main feedstock to produce liquid fuels and chemicals. In the long term, this unyielding dependency is threatened by the depletion of the crude oil reserve. However, in the short term, its price highly fluctuates due to various factors, such as regional and global security instability causing additional complexity on refinery production planning. The petroleum refining industries are also drawing criticism and pressure due to their direct and indirect impacts on the environment. The exhaust gas emission of automobiles apart from the industrial and power plant emission has been viewed as the cause of global warming. In this sense, there is a need for a feasible, sustainable, and environmentally friendly generation process of fuels and chemicals. The attention turns to the utilization of biomass as a potential feedstock to produce substitutes for petroleum-derived fuels and building blocks for biochemicals. Biomass is abundant and currently is still low in utilization. The biorefinery, a facility to convert biomass into biofuels and biochemicals, is still lacking in competitiveness to a petroleum refinery. An attractive solution that addresses both is by the integration of bio- and petroleum refineries. In this context, the right decision making in the process selection and technologies can lower the investment and operational costs and assure optimum yield. Process optimization based on mathematical programming has been extensively used to conduct techno-economic and sustainability analysis for bio-, petroleum, and the integration of both refineries. This paper provides insights into the context of crude oil and biomass as potential refinery feedstocks. The current optimization status of either bio- or petroleum refineries and their integration is reviewed with the focus on the methods to solve the multi-objective optimization problems. Internal and external uncertain parameters are important aspects in process optimization. The nature of these uncertain parameters and their representation methods in process optimization are also discussed. |
| first_indexed | 2024-03-10T19:55:24Z |
| format | Article |
| id | doaj.art-4cf1cd1795fc497a9e686188416c196a |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-10T19:55:24Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-4cf1cd1795fc497a9e686188416c196a2023-11-20T00:00:33ZengMDPI AGPolymers2073-43602020-05-01125109110.3390/polym12051091Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and ChemicalsWegik Dwi Prasetyo0Zulfan Adi Putra1Muhammad Roil Bilad2Teuku Meurah Indra Mahlia3Yusuf Wibisono4Nik Abdul Hadi Nordin5Mohd Dzul Hakim Wirzal6Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, MalaysiaPETRONAS Group Technical Solutions, Project Delivery and Technology, PETRONAS, Kuala Lumpur 50050, MalaysiaChemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, MalaysiaSchool of Information, Systems and Modelling, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, AustraliaBioprocess Engineering, Faculty of Agricultural Technology, Brawijaya University, Malang 65141, IndonesiaChemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, MalaysiaChemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, MalaysiaA petroleum refinery heavily depends on crude oil as its main feedstock to produce liquid fuels and chemicals. In the long term, this unyielding dependency is threatened by the depletion of the crude oil reserve. However, in the short term, its price highly fluctuates due to various factors, such as regional and global security instability causing additional complexity on refinery production planning. The petroleum refining industries are also drawing criticism and pressure due to their direct and indirect impacts on the environment. The exhaust gas emission of automobiles apart from the industrial and power plant emission has been viewed as the cause of global warming. In this sense, there is a need for a feasible, sustainable, and environmentally friendly generation process of fuels and chemicals. The attention turns to the utilization of biomass as a potential feedstock to produce substitutes for petroleum-derived fuels and building blocks for biochemicals. Biomass is abundant and currently is still low in utilization. The biorefinery, a facility to convert biomass into biofuels and biochemicals, is still lacking in competitiveness to a petroleum refinery. An attractive solution that addresses both is by the integration of bio- and petroleum refineries. In this context, the right decision making in the process selection and technologies can lower the investment and operational costs and assure optimum yield. Process optimization based on mathematical programming has been extensively used to conduct techno-economic and sustainability analysis for bio-, petroleum, and the integration of both refineries. This paper provides insights into the context of crude oil and biomass as potential refinery feedstocks. The current optimization status of either bio- or petroleum refineries and their integration is reviewed with the focus on the methods to solve the multi-objective optimization problems. Internal and external uncertain parameters are important aspects in process optimization. The nature of these uncertain parameters and their representation methods in process optimization are also discussed.https://www.mdpi.com/2073-4360/12/5/1091biomassbiorefineryprocess optimizationmathematical programming deterministicstochasticssingle-objective optimization |
| spellingShingle | Wegik Dwi Prasetyo Zulfan Adi Putra Muhammad Roil Bilad Teuku Meurah Indra Mahlia Yusuf Wibisono Nik Abdul Hadi Nordin Mohd Dzul Hakim Wirzal Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals Polymers biomass biorefinery process optimization mathematical programming deterministic stochastics single-objective optimization |
| title | Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals |
| title_full | Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals |
| title_fullStr | Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals |
| title_full_unstemmed | Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals |
| title_short | Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals |
| title_sort | insight into the sustainable integration of bio and petroleum refineries for the production of fuels and chemicals |
| topic | biomass biorefinery process optimization mathematical programming deterministic stochastics single-objective optimization |
| url | https://www.mdpi.com/2073-4360/12/5/1091 |
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