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    Biosynthesis of Amyl Alcohol From Scenedesmus quadricauda Microalgae for Light Commercial Vehicle Compression Ignition Engine Using Prediction Models

    Source: Journal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 003::page 32305-1
    Author:
    Jacob, Ashwin
    ,
    Ashok, B.
    DOI: 10.1115/1.4052542
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Third-generation feedstocks and its constituent biofuels have shown promising results in the light of sustainable production and as a feasible fuel source for internal combustion (IC) engines. Hence, in this study, a third-generation microalgae feedstock (Scenedesmus quadricauda) biomass was cultivated sustainably using an in situ tubular photo bioreactor and raceway pond to synthesize quintet carbon chained amyl alcohol using Ehrlich biosynthetic pathway. On analyzing the synthesized amyl alcohol, a homogenous mixture of a 20% (vol/vol) amyl alcohol-diesel blend showed similarities with conventional diesel in their physio-chemical properties. This potential fuel source was analyzed though systematic experimentation at maximum throttle position condition in a light commercial vehicle compression ignition engine. The conducted experiments were directed by response surface methodology (RSM) coupled with central composite design (CCD) which delivered a set of influential and interactive responses on engine testing. At optimal operating condition, 0.7% rise in brake thermal efficiency (BTE) and an increased specific fuel consumption of 5.6% is reported due to the lower heating value of the biofuel. Furthermore, a 55.8% and 5.4% drop in smoke and carbon monoxide emissions is observed. However, oxides of nitrogen emission increases by 31.7% for biofuel operation as a tradeoff for the improved combustion characteristics achieved.
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      Biosynthesis of Amyl Alcohol From Scenedesmus quadricauda Microalgae for Light Commercial Vehicle Compression Ignition Engine Using Prediction Models

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4285347
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    contributor authorJacob, Ashwin
    contributor authorAshok, B.
    date accessioned2022-05-08T09:36:19Z
    date available2022-05-08T09:36:19Z
    date copyright10/13/2021 12:00:00 AM
    date issued2021
    identifier issn0195-0738
    identifier otherjert_144_3_032305.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285347
    description abstractThird-generation feedstocks and its constituent biofuels have shown promising results in the light of sustainable production and as a feasible fuel source for internal combustion (IC) engines. Hence, in this study, a third-generation microalgae feedstock (Scenedesmus quadricauda) biomass was cultivated sustainably using an in situ tubular photo bioreactor and raceway pond to synthesize quintet carbon chained amyl alcohol using Ehrlich biosynthetic pathway. On analyzing the synthesized amyl alcohol, a homogenous mixture of a 20% (vol/vol) amyl alcohol-diesel blend showed similarities with conventional diesel in their physio-chemical properties. This potential fuel source was analyzed though systematic experimentation at maximum throttle position condition in a light commercial vehicle compression ignition engine. The conducted experiments were directed by response surface methodology (RSM) coupled with central composite design (CCD) which delivered a set of influential and interactive responses on engine testing. At optimal operating condition, 0.7% rise in brake thermal efficiency (BTE) and an increased specific fuel consumption of 5.6% is reported due to the lower heating value of the biofuel. Furthermore, a 55.8% and 5.4% drop in smoke and carbon monoxide emissions is observed. However, oxides of nitrogen emission increases by 31.7% for biofuel operation as a tradeoff for the improved combustion characteristics achieved.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleBiosynthesis of Amyl Alcohol From Scenedesmus quadricauda Microalgae for Light Commercial Vehicle Compression Ignition Engine Using Prediction Models
    typeJournal Paper
    journal volume144
    journal issue3
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4052542
    journal fristpage32305-1
    journal lastpage32305-15
    page15
    treeJournal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 003
    contenttypeFulltext
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