1D diesel engine cycle modeling integrated with MOPSO optimization for improved NOx control and pressure boost. (15th May 2022)
- Record Type:
- Journal Article
- Title:
- 1D diesel engine cycle modeling integrated with MOPSO optimization for improved NOx control and pressure boost. (15th May 2022)
- Main Title:
- 1D diesel engine cycle modeling integrated with MOPSO optimization for improved NOx control and pressure boost
- Authors:
- Taghavifar, Hadi
Mazari, Farhad - Abstract:
- Abstract: In current investigation, one dimensional gas dynamic and chemical species prediction are simulated according to diesel engine with air cooler and catalyst. The results of engine cycle modeling are then verified with experimental data and the robust validation is obtained. The key parameters of air/fuel ratio, compression ratio, swirl number, coolant temperature, and air temperature of the heat exchanger are taken as input parameters for NOx reduction and pressure increase by multi-objective particle swarm optimization (MOPSO). According to merit function, NOx reduction is weighted two times the pressure increase, as a result out of 80 generated design ID78 is chosen as the best objective. The best design is characterized with high air temperature, swirl number, and compression ratio. It is found that swirl number is a dominant factor for NOx reduction and compression ratio for pressure increase. The best objective case is capable of 4.8% NOx reduction and 5.9% increase of pressure, however the best objective results in unfavorable torque decrease since the NOx reduction is biased. The best solutions also are benefited with 1.6% less wallheat loss due to lower diesel fuel mass injection. Highlights: 1D engine cycle incorporated MOPSO optimization NOx reduction pressure increase. Swirl number and compression ratio have the biggest effect size on NOx and pressure. Cases with ultimate low NOx demonstrate worsened engine performance metrics. The optimized case ID78 isAbstract: In current investigation, one dimensional gas dynamic and chemical species prediction are simulated according to diesel engine with air cooler and catalyst. The results of engine cycle modeling are then verified with experimental data and the robust validation is obtained. The key parameters of air/fuel ratio, compression ratio, swirl number, coolant temperature, and air temperature of the heat exchanger are taken as input parameters for NOx reduction and pressure increase by multi-objective particle swarm optimization (MOPSO). According to merit function, NOx reduction is weighted two times the pressure increase, as a result out of 80 generated design ID78 is chosen as the best objective. The best design is characterized with high air temperature, swirl number, and compression ratio. It is found that swirl number is a dominant factor for NOx reduction and compression ratio for pressure increase. The best objective case is capable of 4.8% NOx reduction and 5.9% increase of pressure, however the best objective results in unfavorable torque decrease since the NOx reduction is biased. The best solutions also are benefited with 1.6% less wallheat loss due to lower diesel fuel mass injection. Highlights: 1D engine cycle incorporated MOPSO optimization NOx reduction pressure increase. Swirl number and compression ratio have the biggest effect size on NOx and pressure. Cases with ultimate low NOx demonstrate worsened engine performance metrics. The optimized case ID78 is the best with merit function for NOx reduction. ID78 improves pressure by 5.9% simultaneously limits NOx by 4.8% vis-a-vis base case. … (more)
- Is Part Of:
- Energy. Volume 247(2022)
- Journal:
- Energy
- Issue:
- Volume 247(2022)
- Issue Display:
- Volume 247, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 247
- Issue:
- 2022
- Issue Sort Value:
- 2022-0247-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-15
- Subjects:
- Diesel engine cycle -- Emission control -- Heat exchanger -- MOPSO optimization
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2022.123517 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
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