Yazarlar (1) |
Doç. Dr. Muhammed Raşit ATELGE
Kastamonu Üniversitesi, Türkiye |
Özet |
The increase in global energy consumption and concerns about fossil fuels depletion are pushing the demand for renewable and clean energy sources. Alcohols are a promising candidate for internal combustion engines as alternative fuels. This study aims to reveal the effect of a ternary blend, which is denominated D80E10nB10, consisting of diesel (80%), ethanol (10%), and n-butanol (10%) on combustion and emission characteristics. The addition of both metal oxide (TiO2) and nonmetallic nanoparticle (MWCNT) was also investigated with the above-mentioned ternary blend fuels, which are denominated “m-”. The compression ignition engine was run under dual fuel mode with feeding H2 in the range of 5 and 15 g/h, which were labeled D80E10nB10H5 and 15. The results revealed that the maximum pressure increased by 3.63 and 3.94% by adding 5 and 15 g/h H2 respectively into ternary blend fuel under the full load. The highest BTE was obtained from modified diesel fuel which was 23.24% higher than diesel. Furthermore, 60 Artificial Neural Network (ANN) models were built to optimize test conditions. The optimal conditions for ternary blend fuel were found to be 4 g/h H2 feeding rate while 5.5 g/h H2 addition with modified ternary blend fuel would be the optimal. |
Anahtar Kelimeler |
Hydrogen | N-Butanol | Nano additive | Optimization with ANN model | TiO and MWCNT 2 |
Makale Türü | Özgün Makale |
Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
Dergi Adı | Fuel Processing Technology |
Dergi ISSN | 0378-3820 |
Dergi Tarandığı Indeksler | SCI-Expanded |
Dergi Grubu | Q1 |
Makale Dili | İngilizce |
Basım Tarihi | 05-2022 |
Cilt No | 229 |
Sayı | 1 |
Sayfalar | 1 / 15 |
Doi Numarası | 10.1016/j.fuproc.2021.107155 |
Makale Linki | http://dx.doi.org/10.1016/j.fuproc.2021.107155 |