Application of artificial neural network and response surface methodology for predicting and optimizing dual-fuel CI engine characteristics using hydrogen and bio fuel with water injection. (15th June 2020)
- Record Type:
- Journal Article
- Title:
- Application of artificial neural network and response surface methodology for predicting and optimizing dual-fuel CI engine characteristics using hydrogen and bio fuel with water injection. (15th June 2020)
- Main Title:
- Application of artificial neural network and response surface methodology for predicting and optimizing dual-fuel CI engine characteristics using hydrogen and bio fuel with water injection
- Authors:
- Hariharan, N.
Senthil, V.
Krishnamoorthi, M.
Karthic, S.V. - Abstract:
- Abstract: In this work, the experiments were conducted to investigate the effect of using hydrogen ( H 2 ) andLemon Grass Oil (LGO) as a partial substitute fuel for diesel in a single-cylinder Compression Ignition (CI) engine. Initially, the experiment was conducted with neat diesel and then the engine was modified to operate under dual-fuel mode by inducting H 2 with intake manifold and LGO as direct injection (DI) fuel. The energy share of H 2 was varied from 5 to 10% in this research work. Water (W) was mixed (3% volume) with diesel-LGO blends and its effect on oxides of Nitrogen (NOx) emissions was investigated. An ANN model has been developed to predict the correlation between engine output responses and input factors (load, LGO and hydrogen) using a standard back-propagation algorithm. Response surface methodology is concerned to optimize the engine input parameters in order to minimize the emissions and maximize the thermal efficiency. It was observed that the BTE got increased to 31% for 10% H 2 + LGO25 whereas it was 24% for neat LGO and 30% for 10% H 2 + LGO25 + 3%W modes. The cylinder pressure increased up to 63 bar for 10% H 2 mode than neat LGO operation. The HRR, under H 2 premixed combustion model was observed to be 79 kJ/CA deg in 10% H 2, which is comparatively higher than that of all the LGO operations. The maximum NOx emission was found for 10% H 2 + LGO25% at 700 ppm peak load, whereas it reduced to 620 ppm for water-emulsified fuel.
- Is Part Of:
- Fuel. Volume 270(2020)
- Journal:
- Fuel
- Issue:
- Volume 270(2020)
- Issue Display:
- Volume 270, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 270
- Issue:
- 2020
- Issue Sort Value:
- 2020-0270-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-06-15
- Subjects:
- LGO Lemongrass oil -- LGO25 25% LGO + 75% diesel -- LGO50 50% LGO + 50% diesel, Hydrogen -- 5% 5% of Hydrogen energy share -- 10% 10% of Hydrogen addition -- 3%W 3% of water mix -- BTE Brake thermal efficiency -- HRR Heat release rate -- ID Ignition delay -- CD Combustion duration -- Ppm parts per million
Hydrogen -- Lemongrass oil biodiesel -- Water injection -- Engine characteristics analysis
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662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2020.117576 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
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