Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III DOI Creative Commons
Mingzhang Pan, Cao Xinxin,

Changcheng Fu

et al.

Energy and AI, Journal Year: 2024, Volume and Issue: unknown, P. 100466 - 100466

Published: Dec. 1, 2024

Language: Английский

The Mechanism of the Increased Ratio of Nitrogen Dioxide to Nitrogen Oxides in Methanol/Diesel Dual Fuel Engines DOI
Ruomiao Yang,

Tansu Shang,

Lingmin Li

et al.

Energy, Journal Year: 2024, Volume and Issue: 312, P. 133701 - 133701

Published: Nov. 2, 2024

Language: Английский

Citations

20

Optimization of geothermal engineering design by combining PB-CCD and multi-objective algorithm DOI
Shuxing Mu, Lianheng Zhao

International Communications in Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 162, P. 108575 - 108575

Published: Jan. 7, 2025

Language: Английский

Citations

0

Investigation of performance and emissions of a diesel engine fueled with preheated blends of diesel-watermelon seed biodiesel- isopentanol-turmeric oil DOI
Ganesh Chembedu,

P.V. Manu

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: 196, P. 106863 - 106863

Published: Feb. 6, 2025

Language: Английский

Citations

0

Multi-objective Optimization of Variable Altitude High-dimensional Compression-ignition Aviation Piston Engine Based on Kriging Model and NSGA-III DOI
Yuchen Xu,

Min Sun,

Guisheng Chen

et al.

Energy, Journal Year: 2025, Volume and Issue: 320, P. 135306 - 135306

Published: Feb. 27, 2025

Language: Английский

Citations

0

Prediction of performance and emissions of ammonia-diesel dual-fuel engine using response surface methodology DOI
Xuexuan Nie,

Yuhua Bi,

Lizhong Shen

et al.

Energy, Journal Year: 2025, Volume and Issue: 320, P. 135398 - 135398

Published: March 3, 2025

Language: Английский

Citations

0

Comparative Assessment of the Thermal Load of a Marine Engine Operating on Alternative Fuels DOI Creative Commons
Sergėjus Lebedevas,

Edmonas Milašius

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(4), P. 748 - 748

Published: April 8, 2025

The decarbonization of the operational fleet through implementation renewable and low-carbon fuels (LCFs) is considered a key factor in achieving regulatory greenhouse gas (GHG) reduction targets set by IMO EU. In parallel with optimizing engine energy efficiency emission characteristics during retrofitting for LCF operations, it equally important to assess ensure reliability components under permissible thermal mechanical loads. This study investigated factors influencing stresses on cylinder–piston assembly as engine’s operation shifts from diesel biodiesel, natural gas, methanol, or ammonia. methodological foundation this research was an original comparative analysis method that evaluates impacts stress combustion cycle factors. parameters were modeled using single-zone mathematical model. load determined based ALPHA (αgas) coefficient heat transfer intensity average temperature (Tavg). optimization simulated without changes structure (or “major” modernization, according terminology), modifications limited adjustment parameters. A characteristic transition LCFs significant increase maximum pressure (Pmax), stresses: ammonia, +43%; LNG, +28%; +54–70%; no changes. confirms adopted strategy maintain equal Dmax conditions. It emphasized that, after ensuring Pmax-idem conditions, aligns closely level minimal deviation. associated excess air (λ) controlled compression ratio within allowable variation ±1 unit. Based statistical correlations, rational λ identified, reaching up 2.5 units. Considering real-world marine engines, further will focus analyzing ISO 81/78, well E2 E3 cycles.

Language: Английский

Citations

0

Combustion and Emissions Optimization of Diesel–Methanol Dual-Fuel Engine: Emphasis on Valve Phasing and Injection Parameters DOI Open Access
Zhenyu Sun, Zifan Lian, Jie Ma

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(4), P. 1183 - 1183

Published: April 14, 2025

Diesel–methanol dual-fuel (DMDF) mode holds significant potential for achieving highly efficient and clean combustion in modern marine engines. However, issues such as low methanol substitution rate high pollutant emissions persist, the underlying mechanisms are not fully understood. This study numerically investigated of a heavy-duty engine operating DMDF mode. Multi-cycle simulations, incorporating diesel chemical mechanisms, were carried out to explore performance across various key parameters, including valve phasing, injection pressure, nozzle diameter. The results indicate that phasing can greatly affect indicated thermal efficiency, particularly at large overlap angles. is primarily attributed variations film mass thereby overall efficiency. optimized increases efficiency by 2.4%. By optimizing formation effectively reduced, facilitating improvement optimal pressure diameter 20 bar 0.3 mm, respectively, resulting 1.28% 1.07%, compared values before optimization. Advancing timing increasing markedly decrease because some remains undisturbed intake flow, while droplet sizes tend enhance resistance airflow. As rises from 50 bar, spray–wall interaction region expands, size diminishes, increases. Consequently, combustible cylinder undermining Additionally, there exists trade-off relationship between NOx soot emissions, heat release increased but decreased diesel–methanol

Language: Английский

Citations

0

A green energy-economic optimized solar driven solution for power, methanol, and hydrogen production together DOI

Fatemeh Soltanifar,

Armida Bahrami, Ali Sohani

et al.

Fuel, Journal Year: 2024, Volume and Issue: 386, P. 134147 - 134147

Published: Dec. 30, 2024

Language: Английский

Citations

3

A study on emission reduction and combustion efficiency, analyzing oxymethylene ether (OME1-5) with diesel fuel DOI Creative Commons
Farhad Mazari

Fuel, Journal Year: 2024, Volume and Issue: 375, P. 132578 - 132578

Published: July 27, 2024

This study investigates an optimized fuel blend comprising oxymethylene ethers (OMEn = 1–5 series) with diesel aimed at simultaneously reducing soot and NOx emissions while enhancing efficiency. An optimal was identified through rigorous experimentation computational fluid dynamics (CFD) modeling. The employs the response surface method (RSM) for regression analysis integrates machine learning techniques predictive modeling to assess various compositions optimize mixture improved combustion dynamics. Experimental measurements were conducted in optical constant volume chamber (CVCC) confirm blend's effectiveness both emissions. investigation thoroughly analyzes spray properties, including injection duration, Start of Combustion (SOC), End (EOC), Lift-Off length fuels, tip penetration, their impact on Analysis energy densities between blends reveals that OMED exhibits a heating value superior OME2-5 but inferior diesel, striking balance output. Furthermore, demonstrates density compared OME1-3 highlighting its potential enhanced achieves significant 78.2 % reduction 31.3 conventional underscoring efficacy mitigating harmful without compromising performance. research contributes valuable insights into developing sustainable solutions engines, paving way greener automotive technologies future.

Language: Английский

Citations

2

Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III DOI Creative Commons
Mingzhang Pan, Cao Xinxin,

Changcheng Fu

et al.

Energy and AI, Journal Year: 2024, Volume and Issue: unknown, P. 100466 - 100466

Published: Dec. 1, 2024

Language: Английский

Citations

0