Processing on Curcuma longa waste oil-diesel blends for using as better alternative to diesel fuel

Author:

Karunanidhi SanjeeviPrakashORCID,Decruz Arul Marcel Moshi Antony JosephORCID,Kasimani Ramesh

Abstract

Technology advancements are growing in an exponential rate. Automobile sector is getting developed day by day where modern innovations are viewed with different features for the human society. Inspite of having various renewable energy sources, the demand for the fossil fuels still exists for meeting out the requirements of the growing application sides. In the present work, different blends of Curcuma longa waste neat oil samples have been prepared and mixed with diesel at different volume fractions. Nano metal oxide particles such as cerium oxide and Nano Egg Shell Powder (NESP) have been added with the prepared fuel samples in order to achieve better evaporation, atomization, better air-fuel mixing, considerable reduction in ignition delay and best flame sustainability nature. The prepared waste oil samples have been tested under four different loading conditions such as 30, 60, 90 and 120 N. The performance characteristics such as Brake Thermal Efficiency (BTE), Brake Specific Fuel Consumption (BSFC), Exhaust Gas Temperature (EGT), % of carbon monoxide emission, % of carbon dioxide emission, % of hydrocarbon emission and % of NOX emission have been measured for the tested blends. From the results, the optimal sample which exhibits improved desirable characteristics has been suggested. Grey Relational Analysis (GRA) has also been used as a multi objective optimization tool in order to find out the best composition of the Curcuma longa waste oil – diesel blend in order to achieve better desirable properties. ANOVA technique has been used to identify the most influencing input factor in achieving better characteristics for the oil blends.

Publisher

EDP Sciences

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3