Numerical optimization of natural gas composition effects on dual-fuel diesel engine performance and emissions
Mojtaba Rezapour and
Mahdi Deymi-Dashtebayaz
Energy, 2025, vol. 322, issue C
Abstract:
In this paper a three-dimensional modeling of a Natural Gas (NG)-diesel dual fuel engine with the effect of different NG composition injection has been discussed. In order to do this, four NG composition produced by Pars, Ghasho, Kangan and Khangiran refineries have been considered. First, Computation Fluid Dynamics (CFD) model has been validated with experimental data. During optimization, objective functions include minimum indicated specific fuel consumption (ISFC), indicated torque (IT) and break mean effective pressure BMEP have been considered by TOPSIS method. Engine performance parameters and pollutant emission has been discussed in this paper. Finally, best NG composition refinery has been obtained based on numerical and optimization analysis. The highest and lowest values of pressure is related to combination of Khangiran and Ghasho refineries with 12.8 and 11.4 MPa, respectively. Also, with an 8 % reduction of methane in composition, maximum in-cylinder pressure decreases by 4 %. Therefore, Khangiran gas has a higher temperature than other gas compounds due to more methane species. The maximum temperature for Ghasho Refinery occurs at ATDC and near +1 °CA, while for other gas compositions occur at BTDC and near −2 °CA. The gas composition in Khangiran, Kangan, and Pars shows that the maximum combustion temperature depends on the amount of CH4. Optimal conditions during engine performance have been obtained related Kangan refinery and Khangiran and Ghasho refineries are listed second and third gas composition.
Keywords: Different refineries; Natural gas composition; Dual-fuel engine; CFD modeling; Optimization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225012630
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:322:y:2025:i:c:s0360544225012630
DOI: 10.1016/j.energy.2025.135621
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().