Optimization of performance and emission parameters of direct injection diesel engine fuelled with microalgae Spirulina (L.) – Response surface methodology and full factorial method approach
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Reference49 articles.
1. Complete analysis of castor oil methanolysis to obtain biodiesel;Sánchez;Fuel,2015
2. Optimal design of glucose solution emulsified diesel and its effects on the performance and emissions of a diesel engine;Chen;Fuel,2015
3. Biodiesel fuel production from algal lipids using supercritical methyl acetate (glycerin-free) technology;Patil;Fuel,2017
4. Biocatalytic conversion of lipids from microalgae Scenedesmus obliquus to biodiesel using Pseudomonas fluorescens lipase;Guldhe;Fuel,2015
5. Biodiesel synthesis from microalgal lipids using tungstated zirconia as a heterogeneous acid catalyst and its comparison with homogeneous acid and enzyme catalysts;Guldhe;Fuel,2017
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