Journal ArticleDOI
Predicting the methane number of gaseous fuels using an artificial neural network
Sachin Kumar Gupta,Mayank Mittal +1 more
- Vol. 12, Iss: 10, pp 1191-1198
Reads0
Chats0
TLDR
The Methane Number (MN) is a critical gas quality parameter for gaseous-fueled engines as discussed by the authors, and it is a measure of knock resistance for Gaseous fuels.Abstract:
Methane number (MN) is a critical gas quality parameter for gaseous-fueled engines. It is a measure of knock resistance for gaseous fuels, as is the octane number for gasoline. Therefore, a priori ...read more
Citations
More filters
Journal ArticleDOI
Impact of Liquefied Natural Gas Composition Changes on Methane Number as a Fuel Quality Requirement
TL;DR: In this paper, an analysis of deviation of liquefied natural gas (LNG) composition and its impact on LNG quality as an engine fuel was presented, where the authors considered the impact of higher hydrocarbons and nitrogen content on the LNG parameters.
Journal ArticleDOI
Assessing the Influence of Compression Ratio on Engine Characteristics Including Operational Limits of a Biogas-Fueled Spark-Ignition Engine
Sachin Kumar Gupta,Mayank Mittal +1 more
TL;DR: In this paper, performance characteristics of a spark-ignition (SI) engine operated under methane (baseline case) and biogas are compared at the compression ratio (CR) of 8.5:1.
Journal ArticleDOI
Experimental and computational study on the enhancement of engine characteristics by hydrogen enrichment in a biogas fuelled spark ignition engine
TL;DR: In this paper , the effect of hydrogen enrichment on performance, combustion and emission characteristics of a single-cylinder, four-stroke, water-cooled, biogas fuelled spark-ignition engine operated at the compression ratio of 10:1 and 1500 rpm has been evaluated using experimental and computational (CFD) studies.
Journal ArticleDOI
Biogas (a promising bioenergy source): A critical review on the potential of biogas as a sustainable energy source for gaseous fuelled spark ignition engines
TL;DR: In this article , the role of biogas in achieving sustainable development goals with an emphasis on its utilization in gaseous fuelled spark-ignited engines is discussed in detail with a note on engine operating parameters.
Journal ArticleDOI
Effect of biomethane substitution on combustion noise and performance of a dual fuel common rail direct injection diesel engine
TL;DR: In this paper , the authors investigated the impact of gaseous fuel energy share on combustion noise in dual fuel diesel engines and found that an increment in methane share is effective in controlling the sound pressure levels to 95 dB (at 1.5 Newtonmeter [Nm] and 13.5 Nm loading conditions) and it is lower than the diesel only operational levels at all loading conditions.
References
More filters
Journal ArticleDOI
ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Journal ArticleDOI
Original Contribution: A scaled conjugate gradient algorithm for fast supervised learning
TL;DR: Experiments show that SCG is considerably faster than BP, CGL, and BFGS, and avoids a time consuming line search.
Levenberg--Marquardt algorithm: implementation and theory
TL;DR: A robust and efficient implementation of a version of the Levenberg--Marquardt algorithm is discussed and it is shown that it has strong convergence properties.
Journal ArticleDOI
Bayesian regularization and pruning using a Laplace prior
TL;DR: Standard techniques for improved generalization from neural networks include weight decay and pruning and a comparison is made with results of MacKay using the evidence framework and a gaussian regularizer.
Journal ArticleDOI
Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a Diesel engine
TL;DR: In this article, the ability of an artificial neural network model, using a back propagation learning algorithm, to predict specific fuel consumption and exhaust temperature of a Diesel engine for various injection timings is studied.