A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques
Since industrial development and globalization of the world, fossil fuels remain a major source of energy for almost all sectors of life. Fossil fuels, without doubt, play a vital role in the development of todays world. However, there are increasing reservations about the consumption of fossil fuel...
| Main Authors: | , , , , , |
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| Format: | Article |
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Elsevier
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/106783/ |
| _version_ | 1848864822497640448 |
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| author | Ahmad, Junaid Awais, Muhammad Rashid, Umer Ngamcharussrivichai, Chawalit Raza Naqvi, Salman Ali, Imtiaz |
| author_facet | Ahmad, Junaid Awais, Muhammad Rashid, Umer Ngamcharussrivichai, Chawalit Raza Naqvi, Salman Ali, Imtiaz |
| author_sort | Ahmad, Junaid |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Since industrial development and globalization of the world, fossil fuels remain a major source of energy for almost all sectors of life. Fossil fuels, without doubt, play a vital role in the development of todays world. However, there are increasing reservations about the consumption of fossil fuels due to their detrimental impact on our ecosystem. In recent decades, biodiesel has attracted much attention as a promising replacement for fossil fuel-based diesel, especially in the transportation sector. Biodiesel is a non-toxic, environmentally friendly, and carbon-free fuel that can be made from any kind of vegetable oil or fat. In recent developments, numerous techniques have been developed to efficiently prepare biodiesel from oil/fats. Therefore, in this paper, we cover a new advancement in techniques used for the conversion of oil/fat to biodiesel and the role of artificial intelligence (AI). AI approaches help predict the effectiveness of biodiesel production techniques and optimize the process, in addition to minimizing the cost of the process. The AI-enabled biodiesel prediction methods consist of several stages, i.e., biodiesel data collection, biodiesel data preprocessing, developing, and tuning machine learning (ML) algorithm on biodiesel data, and predicting unknown biodiesel properties. Therefore, the main purpose of applying AI to the biodiesel production process is to improve the process optimization and to develop AI models for fuel properties measurements and ultimately reduce the cost of the product. Because these problems have not been addressed previously, we hope that our analysis will help future researchers identify the appropriate technique and feedstock to produce high-quality biodiesel. |
| first_indexed | 2025-11-15T13:54:55Z |
| format | Article |
| id | upm-106783 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:54:55Z |
| publishDate | 2023 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1067832024-10-03T04:25:55Z http://psasir.upm.edu.my/id/eprint/106783/ A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques Ahmad, Junaid Awais, Muhammad Rashid, Umer Ngamcharussrivichai, Chawalit Raza Naqvi, Salman Ali, Imtiaz Since industrial development and globalization of the world, fossil fuels remain a major source of energy for almost all sectors of life. Fossil fuels, without doubt, play a vital role in the development of todays world. However, there are increasing reservations about the consumption of fossil fuels due to their detrimental impact on our ecosystem. In recent decades, biodiesel has attracted much attention as a promising replacement for fossil fuel-based diesel, especially in the transportation sector. Biodiesel is a non-toxic, environmentally friendly, and carbon-free fuel that can be made from any kind of vegetable oil or fat. In recent developments, numerous techniques have been developed to efficiently prepare biodiesel from oil/fats. Therefore, in this paper, we cover a new advancement in techniques used for the conversion of oil/fat to biodiesel and the role of artificial intelligence (AI). AI approaches help predict the effectiveness of biodiesel production techniques and optimize the process, in addition to minimizing the cost of the process. The AI-enabled biodiesel prediction methods consist of several stages, i.e., biodiesel data collection, biodiesel data preprocessing, developing, and tuning machine learning (ML) algorithm on biodiesel data, and predicting unknown biodiesel properties. Therefore, the main purpose of applying AI to the biodiesel production process is to improve the process optimization and to develop AI models for fuel properties measurements and ultimately reduce the cost of the product. Because these problems have not been addressed previously, we hope that our analysis will help future researchers identify the appropriate technique and feedstock to produce high-quality biodiesel. Elsevier 2023 Article PeerReviewed Ahmad, Junaid and Awais, Muhammad and Rashid, Umer and Ngamcharussrivichai, Chawalit and Raza Naqvi, Salman and Ali, Imtiaz (2023) A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques. Fuel, 338. pp. 1-10. ISSN 0016-2361; ESSN: 1873-7153 https://linkinghub.elsevier.com/retrieve/pii/S001623612204203X 10.1016/j.fuel.2022.127379 |
| spellingShingle | Ahmad, Junaid Awais, Muhammad Rashid, Umer Ngamcharussrivichai, Chawalit Raza Naqvi, Salman Ali, Imtiaz A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques |
| title | A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques |
| title_full | A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques |
| title_fullStr | A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques |
| title_full_unstemmed | A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques |
| title_short | A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques |
| title_sort | systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques |
| url | http://psasir.upm.edu.my/id/eprint/106783/ http://psasir.upm.edu.my/id/eprint/106783/ http://psasir.upm.edu.my/id/eprint/106783/ |