eprintid: 19837
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/98/37
datestamp: 2024-06-04 14:19:34
lastmod: 2024-06-04 14:19:34
status_changed: 2024-06-04 14:16:00
type: article
metadata_visibility: show
creators_name: Ramalingam, K.
creators_name: Vellaiyan, S.
creators_name: Kandasamy, M.
creators_name: Chandran, D.
creators_name: Raviadaran, R.
title: An experimental study and ANN analysis of utilizing ammonia as a hydrogen carrier by real-time emulsion fuel injection to promote cleaner combustion
ispublished: pub
keywords: Ammonia; Carbon dioxide; Emission control; Emulsification; Hydrogen; Hydrogen fuels; Neural networks; Smoke; Thermal efficiency, Ammonia emulsion; Artificial neural network analysis; Bio-diesel blends; Citronellum oil; Emissions control; Emulsion fuels; Hydrogen carriers; Injection method; Liquid ammonia; Real- time, Diesel engines
note: cited By 4
abstract: This work utilized Real-Time Emulsion Fuel Injection (RTEFI) methods to incorporate emulsion fuel, which included citronella oil (20), ammonia (10), and water (5), into diesel fuel without the addition of surfactants. The primary aim of this study was to investigate the influence of hydrogen presence in liquid ammonia on diesel engines. This was accomplished by using a water-emulsified diesel-biodiesel blend and forecasting performance using an artificial neural network (ANN). Citronella oil (20) was blended with standard fuel (SD), followed by the addition of 10 ammonia and 5 water, labeled as SD20CO, SD20CO10A, and SD20CO10A5W, respectively. The results indicated that the brake thermal efficiency of SD20CO10A5W is comparable to that of diesel. The fuel combination significantly decreased hydrocarbon emissions by 70�75, smoke by 10�15, and oxides of nitrogen by 2�5, while increasing carbon dioxide by 3�8 under all load situations compared to other fuels. The trained ANN models had a coefficient of determination of 97, with values ranging from 0.9076 to 0.9965. Additionally, the models exhibited low mean absolute percentage error values, ranging from 0.98 to 4.26. The analytical results provide strong evidence supporting the efficacy of SD20CO10A5W, ultimately indicating that it is a feasible substitute fuel for diesel engines. © 2024 The Authors
date: 2024
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186491897&doi=10.1016%2fj.rineng.2024.101946&partnerID=40&md5=f540643fd6f31b8d9a1758c125663fd7
id_number: 10.1016/j.rineng.2024.101946
full_text_status: none
publication: Results in Engineering
volume: 21
refereed: TRUE
citation:   Ramalingam, K. and Vellaiyan, S. and Kandasamy, M. and Chandran, D. and Raviadaran, R.  (2024) An experimental study and ANN analysis of utilizing ammonia as a hydrogen carrier by real-time emulsion fuel injection to promote cleaner combustion.  Results in Engineering, 21.