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Journal ArticleDOI

Exact estimation of biodiesel cetane number (CN) from its fatty acid methyl esters (FAMEs) profile using partial least square (PLS) adapted by artificial neural network (ANN)

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TLDR
In this article, an ANN-adapted partial least square (PLS) adapted by artificial neural network (ANN) was introduced and examined as an innovative approach for the exact estimation of biodiesel CN from its FAMEs profile.
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This article is published in Energy Conversion and Management.The article was published on 2016-09-15. It has received 92 citations till now. The article focuses on the topics: Cetane number & Biodiesel.

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Citations
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A review on the prospects of sustainable biodiesel production: A global scenario with an emphasis on waste-oil biodiesel utilization

TL;DR: In this paper, a comprehensive collection plan followed by an elaborated integrated utilization strategy called "waste oil biodiesel utilization scenario" (WO-BUS) is proposed for Iran in order to achieve cost-effective and eco-friendly production/consumption of biodiesel.
Journal ArticleDOI

Reactor technologies for biodiesel production and processing: a review.

TL;DR: In this article, the authors comprehensively reviewed biodiesel manufacturing techniques from natural oils and fats using conventional and advanced technologies with an in-depth state-of-the-art focus on the transesterification unit.
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A comprehensive review on the environmental impacts of diesel/biodiesel additives

TL;DR: In this article, the effects of various diesel/biodiesel additives including metal-based, oxygenated, antioxidant, cold flow improver, lubricity improver and cetane number improver additives as well as engine operating parameters like engine load, engine speed, EGR, and injection timing on both regulated and non-regulated emissions were discussed.
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A critical review of the effects of pretreatment methods on the exergetic aspects of lignocellulosic biofuels

TL;DR: In this paper, a review of the literature on exergetic analysis of the lignocellulose pretreatment process has been presented, focusing on the thermodynamic, economic, and environmental features of the resulting biofuels.
References
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Journal ArticleDOI

Review of biodiesel composition, properties, and specifications

TL;DR: In this paper, the fatty acid (FA) profiles of 12 common biodiesel feedstocks were summarized, and it was shown that several fuel properties, including viscosity, specific gravity, cetane number, iodine value, and low temperature performance metrics are highly correlated with the average unsaturation of the FA profiles.
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Prospects and potential of fatty acid methyl esters of some non-traditional seed oils for use as biodiesel in India

TL;DR: In this paper, Saponification number (SN), iodine value (IV) and cetane number (CN) of seed oils were empirically determined and they varied from 169.2 to 312.5, 4.8 to 212 and 20.56 to 67.47, respectively.
Journal Article

Prediction of cetane number of biodiesel fuel from the fatty acid methyl ester (fame) composition

TL;DR: In this paper, a relationship between the fatty acid methyl ester (FAME) composition and the cetane number (CN) of biodiesel fuel has been investigated, and an equation was developed to relate the CN with the % composition by weight of FAME of the fuel.
Journal ArticleDOI

Effects of fatty acid methyl esters proportion on combustion and emission characteristics of a biodiesel fueled diesel engine

TL;DR: In this article, the effects of fatty acid methyl esters proportion on combustion and emission characteristics of a biodiesel fueled diesel engine in terms of heat release rate, cylinder pressure, indicated power and formation of NOx emission were investigated.
Journal ArticleDOI

Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review

TL;DR: In this article, the authors present a comprehensive review of numerous significant applications of the ANN technique to solve problems of nonlinear function approximation, pattern detection, data interpretation, optimization, simulation, diagnosis, control, data sorting, clustering, and noise reduction in drying technology.
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