Experimental Investigations on Dual-Fuel Engine Fueled with Tertiary Renewable Fuel Combinations of Biodiesel and Producer—Hydrogen Gas Using Response Surface Methodology
Sushrut S. Halewadimath,
Nagaraj R. Banapurmath (),
V. S. Yaliwal,
V. N. Gaitonde,
T. M. Yunus Khan,
Chandramouli Vadlamudi,
Sanjay Krishnappa and
Ashok M. Sajjan
Additional contact information
Sushrut S. Halewadimath: Department of Mechanical Engineering, KLE Institute of Technology, Hubballi 580027, India
Nagaraj R. Banapurmath: Department of Mechanical Engineering, KLE Technological University, BVB Campus, Hubballi 580031, India
V. S. Yaliwal: Department of Mechanical Engineering, S.D.M. College of Engineering and Technology, Dharwad 580002, India
V. N. Gaitonde: Department of Mechanical Engineering, KLE Technological University, BVB Campus, Hubballi 580031, India
T. M. Yunus Khan: Mechanical Engineering Department, College of Engineering, King Khalid University, P.O. Box 394, Abha 61421, Saudi Arabia
Chandramouli Vadlamudi: Aerospace Integration Engineer, Aerosapien Technologies, Daytona Beach, FL 32114, USA
Sanjay Krishnappa: Aerospace Integration Engineer, Aerosapien Technologies, Daytona Beach, FL 32114, USA
Ashok M. Sajjan: Centre of Excellence in Material Science, KLE Technological University, BVB Campus, Hubballi 580031, India
Sustainability, 2023, vol. 15, issue 5, 1-18
Abstract:
The effects of producer gas (PG), hydrogen (H 2 ), and neem oil methyl ester-blended fuel (NeOME B20) flow rate optimization on dual fuel (DF) engine performance were examined in the current work. PG and H 2 were used as primary fuels, while NeOME B20 was used as a secondary pilot fuel in the DF engine. The DF engine’s performance and pollution levels were optimized using response surface methodology (RSM) and the results were compared with experimental values. The full factorial design (FFD) has been used to minimize the number of experiments. The design of experiments (DOEs) with an experimental design matrix of 27 distinct combinations were taken into consideration. The primary goal of the effort is to optimize different fuel flow rates for better brake thermal efficiency (BTE) and lower tail pipe exhaust pollutants. The developed RSM model is validated with experimental results for the selected fuel flow rates using a desirability approach. Experiments were carried out at a constant speed of 1500 rpm, compression ratio (CR) of 17.5, injector opening pressure (IOP) 240 bar, six-hole nozzle with 0.2 mm diameter, and injection timing (IT) of 27° before top dead center (bTDC). The flow rates of NeOME B20, PG, and H 2 varied from 0.4 to 0.8 kg/h, 7 to 9 kg/h, and 0.029 to 0.059 kg/h, respectively. Optimum flow rates for NeOME B20, PG, and H 2 were found to be 0.8, 7, and 0.044, kg/h respectively for the maximized break thermal efficiency (BTE) and reduced exhaust emission levels. However, a marginal increase in NO x was noticed. In addition, the delay period and combustion duration were reduced, and the cylinder pressure (CP) and heat release rate (HRR) were increased for the optimal condition with a desirability of 0.998. Overall, DF operation with selected fuel combinations was found to be smooth and satisfactory.
Keywords: neem oil methyl ester; hydrogen; response surface methodology; producer gas; dual fuel engine and fuel flow rate (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/15/5/4483/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/5/4483/ (text/html)
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:gam:jsusta:v:15:y:2023:i:5:p:4483-:d:1085924
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().