Application of Genetic Algorithm for Increasing the Utilization of Poor-quality Biodiesel through Blending
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- Adhikesavan Chellachamy
- Internal Combustion Engineering Division, Department of Mechanical Engineering, College of Engineering Guindy, Anna University
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- Balamurugan Chinnasamy
- Engineering Design Division, Department of Mechanical Engineering, College of Engineering Guindy, Anna University
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- Ganesh Duraisamy
- Internal Combustion Engineering Division, Department of Mechanical Engineering, College of Engineering Guindy, Anna University
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説明
<p>Biodiesel is a viable alternative to petroleum diesel. The properties of the biodiesel depend on the feedstock used to produce it. A significant difference in properties exists between different biodiesels. Therefore, standards for biodiesel fuel had been developed considering many factors such as safe handling, corrosion, ignition quality, stability, cold flow property, and performance. For using biodiesel as fuel, the properties of the biodiesel should be within the limits specified in the standard. Unfortunately, biodiesel produced from many feedstocks does not comply with the specifications for all the properties. To utilize biodiesel with poor quality, biodiesels can be blended so that the properties of the blend comply with the specifications. Determining the optimal biodiesel blend ratio experimentally requires a lot of effort particularly when the number of parameters to be optimized is more and when the number of constituent biodiesels in the blend is more. In this work, the application of non-dominated sorting genetic algorithm to predict optimal blends for different scenarios is demonstrated.</p>
収録刊行物
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- Journal of Oleo Science
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Journal of Oleo Science 70 (8), 1039-1050, 2021
公益社団法人 日本油化学会
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詳細情報 詳細情報について
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- CRID
- 1390851883593467136
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- NII論文ID
- 130008071791
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- NII書誌ID
- AA11503337
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- ISSN
- 13473352
- 13458957
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- NDL書誌ID
- 031587611
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- PubMed
- 34248094
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- PubMed
- CiNii Articles
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- 使用不可