LAPSE:2023.27293
Published Article
LAPSE:2023.27293
Hydrogen Injection in a Dual Fuel Engine Fueled with Low-Pressure Injection of Methyl Ester of Thevetia Peruviana (METP) for Diesel Engine Maintenance Application
April 4, 2023
Abstract
The present work is mapped to scrutinize the consequence of biodiesel and gaseous fuel properties, and their impact on compression-ignition (CI) engine combustion and emission characteristics in single and dual fuel operation. Biodiesel prepared from non-edible oil source derived from Thevetia peruviana belonging to the plant family of Apocynaceaeis. The fuel has been referred as methyl ester of Thevetia peruviana (METP) and adopted as pilot fuel for the effective combustion of compressed gaseous fuel of hydrogen. This investigation is an effort to augment the engine performance of a biodiesel-gaseous fueled diesel engine operated under varied engine parameters. Subsequently, consequences of gas flow rate, injection timing, gas entry type, and manifold gas injection on the modified dual-fuel engine using conventional mechanical fuel injections (CMFIS) for optimum engine performance were investigated. Fuel consumption, CO, UHC, and smoke formations are spotted to be less besides higher NOx emissions compared to CMFIS operation. The fuel burning features such as ignition delay, burning interval, and variation of pressure and heat release rates with crank angle are scrutinized and compared with base fuel. Sustained research in this direction can convey practical engine technology, concerning fuel combinations in the dual fuel mode, paving the way to alternatives which counter the continued fossil fuel utilization that has detrimental impacts on the climate.
The present work is mapped to scrutinize the consequence of biodiesel and gaseous fuel properties, and their impact on compression-ignition (CI) engine combustion and emission characteristics in single and dual fuel operation. Biodiesel prepared from non-edible oil source derived from Thevetia peruviana belonging to the plant family of Apocynaceaeis. The fuel has been referred as methyl ester of Thevetia peruviana (METP) and adopted as pilot fuel for the effective combustion of compressed gaseous fuel of hydrogen. This investigation is an effort to augment the engine performance of a biodiesel-gaseous fueled diesel engine operated under varied engine parameters. Subsequently, consequences of gas flow rate, injection timing, gas entry type, and manifold gas injection on the modified dual-fuel engine using conventional mechanical fuel injections (CMFIS) for optimum engine performance were investigated. Fuel consumption, CO, UHC, and smoke formations are spotted to be less besides higher NOx emissions compared to CMFIS operation. The fuel burning features such as ignition delay, burning interval, and variation of pressure and heat release rates with crank angle are scrutinized and compared with base fuel. Sustained research in this direction can convey practical engine technology, concerning fuel combinations in the dual fuel mode, paving the way to alternatives which counter the continued fossil fuel utilization that has detrimental impacts on the climate.
Record ID
Keywords
combustion parameters, electronic control unit, hydrogen injection, manifold injection, methyl ester Thevetia peruviana (METP) biodiesel
Subject
Suggested Citation
Marikatti M, Banapurmath NR, Yaliwal VS, Basavarajappa Y, Soudagar MEM, Márquez FPG, Mujtaba M, Fayaz H, Naik B, Khan TY, Afzal A, EL-Seesy AI. Hydrogen Injection in a Dual Fuel Engine Fueled with Low-Pressure Injection of Methyl Ester of Thevetia Peruviana (METP) for Diesel Engine Maintenance Application. (2023). LAPSE:2023.27293
Author Affiliations
Marikatti M: Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka 580002, India
Banapurmath NR: Department of Mechanical Engineering, B.V.B. College of Engineering and Technology KLE Technological University, BVB College Campus, Hubli, Karnataka 580021, India
Yaliwal VS: Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka 580002, India
Basavarajappa Y: Department of Mechanical Engineering, P.E.S. Institute of Technology and Management, Shivamogga 577204, India
Soudagar MEM: Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Márquez FPG: Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real 13071, Spain [ORCID]
Mujtaba M: Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Fayaz H: Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam
Naik B: Department of Mechanical Engineering, Jain College of Engineering, Belagavi Karnataka 590014, India
Khan TY: Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Asir, Saudi Arabia [ORCID]
Afzal A: P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangalore 574153, India [ORCID]
EL-Seesy AI: Department of Mechanical Engineering, Benha Faculty of Engineering, Benha University, 13512 Benha, Qalubia, Egypt [ORCID]
Banapurmath NR: Department of Mechanical Engineering, B.V.B. College of Engineering and Technology KLE Technological University, BVB College Campus, Hubli, Karnataka 580021, India
Yaliwal VS: Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka 580002, India
Basavarajappa Y: Department of Mechanical Engineering, P.E.S. Institute of Technology and Management, Shivamogga 577204, India
Soudagar MEM: Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Márquez FPG: Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real 13071, Spain [ORCID]
Mujtaba M: Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Fayaz H: Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam
Naik B: Department of Mechanical Engineering, Jain College of Engineering, Belagavi Karnataka 590014, India
Khan TY: Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Asir, Saudi Arabia [ORCID]
Afzal A: P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangalore 574153, India [ORCID]
EL-Seesy AI: Department of Mechanical Engineering, Benha Faculty of Engineering, Benha University, 13512 Benha, Qalubia, Egypt [ORCID]
Journal Name
Energies
Volume
13
Issue
21
Article Number
E5663
Year
2020
Publication Date
2020-10-29
ISSN
1996-1073
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PII: en13215663, Publication Type: Journal Article
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LAPSE:2023.27293
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https://doi.org/10.3390/en13215663
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