Performance and exhaust emissions of a biodiesel engine
Yükleniyor...
Tarih
2006
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the applicabilities of Artificial Neural Networks (ANNs) have been investigated for the performance and exhaust-emission values of a diesel engine fueled with biodiesels from different feedstocks and petroleum diesel fuels. The engine performance and emissions characteristics of two different petroleum diesel-fuels (No. I and No. 2), biodiesels (from soybean oil and yellow grease). and their 20% blends with No. 2 diesel fuel were used as experimental results. The fuels were tested at full load (100%) at 1400-rpm engine speed, where the engine torque was 257.6 Nm. To train the network, the average molecular weight, net heat of combustion, specific gravity, kinematic viscosity, C/H ratio and cetane number of each fuel are used as the input layer, while outputs are the brake specific fuel-consumption, exhaust temperature, and exhaust emissions. The back-propagation learning algorithm with three different variants, single layer, and logistic sigmoid transfer function were used in the network. By using weights in the network, formulations have been given for each output. The network has yielded R-2 values of 0.99 and the mean % errors are smaller than 4.2 for the training data, while the R-2 values are about 0.99 and the mean%, errors are smaller than 5.5 for the test data. The performance and exhaust emissions from a diesel engine, using biodiesel blends with No. 2 diesel fuel Lip to 20%,, have been predicted using the ANN model. (C) 2005 Elsevier Ltd. All rights reserved.
Açıklama
ARCAKLIOGLU, Erol/0000-0001-8073-5207; ERDIL, AHMET/0000-0002-6659-1195
Anahtar Kelimeler
artificial neural-network, biodiesel, engine performance, exhaust emissions
Kaynak
Applied Energy
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
83
Sayı
6
Künye
closedAccess
