Predictive Models for Biodiesel Performance and Emission Characteristics in Diesel Engines: A Review

被引：0
作者：
Ai, Wenbo [1 ]
Cho, Haeng Muk [1 ]
机构：
[1] Kongju Natl Univ, Dept Mech Engn, Cheonan 31080, South Korea
来源：
ENERGIES | 2024年 / 17卷 / 19期
基金：
新加坡国家研究基金会;
关键词：
biodiesel; predictive modeling; diesel engine performance; emissions; statistical methods; OXIDATIVE STABILITY; GENETIC ALGORITHM; CETANE NUMBER; BIO-DIESEL; BLENDS; VISCOSITY; DENSITY; OIL; OPTIMIZATION; TEMPERATURE;
D O I：
10.3390/en17194805
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
With the increasing global demand for renewable energy, biodiesel has become a promising alternative to fossil fuels with significant environmental benefits. This article systematically reviews the latest advances in predictive modeling techniques for estimating the characteristics of biodiesel and its impact on diesel engine performance. Various methods for predicting the key performance of biodiesel and the performance and emissions of diesel engines have been summarized. According to the categories of parameters, research cases in recent years have been listed and discussed separately. This review provides a comprehensive overview and serves as a reference for future research and development of biodiesel.
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页数：25
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