Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 133095 - 133095
Published: April 1, 2025
Language: Английский
International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101119 - 101119
Published: Feb. 1, 2025
Language: Английский
Citations
3
International Journal of Low-Carbon Technologies, Journal Year: 2025, Volume and Issue: 20, P. 8 - 24
Published: Jan. 1, 2025
Abstract This study numerically optimizes energy harnessing in vehicle engines using three heat exchanger fin designs: wall to wall, pyramid, and hexagonal. Two thermoelectric generator (TEG) array configurations are compared for electrical power generation. Results show the wall-to-wall provides highest transfer, producing 161 W of from 13 590.53 heat. Both TEG generate similar output, with series offering slightly higher voltage. The flow direction has minimal impact, but increasing number exchangers boosts efficiency. total system output reaches 27 763.60 a four-parallel setup an efficiency 1.72.
Language: Английский
Citations
1
International Journal of Thermofluids, Journal Year: 2024, Volume and Issue: 24, P. 100838 - 100838
Published: Sept. 2, 2024
Biodiesel has emerged as a compelling substitute for conventional diesel fuel, providing sustainable and eco-friendly choice fueling compression ignition engines. This comprehensive study investigates the influence of biodiesel, specifically derived from sunflower oil, through esterification method, on crucial engine performance parameters environmental effects. The examines impact varying torque single-cylinder, four-stroke engine, encompassing such brake thermal efficiency (BTE) specific fuel consumption (BSFC), well exhaust emissions, including unburned hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOx). Four distinct biodiesel blends (B10, B20, B30, B40) with oil content are systematically compared to pure (B0). operates at consistent speed 1700 rpm, while undergoes controlled adjustments 0 10 Nm. Subsequently, this explores application an alternating model tree (AMT) machine learning algorithm establish relationships between independent factors, volume (%vol), dependent variables, BTE, BSFC, CO, NOx in combustion engine. Additionally, employs multi-objective ameliorative whale optimization (AWOA) optimize model's output. objective is identify optimal values %vol that maximize minimizing emissions (CO NOx) reducing (BSFC). process yields noteworthy results, AWOA achieving peak BTE 29.714%, BSFC 0.262 kg.kWh-1, 992 ppm 7.3 N.m 13% vol. In contrast, particle swarm (PSO) secured minimum CO level 0.123%, set 7.6 26% AMT models demonstrate high prediction accuracy, coefficient determination (R2) exceeding 0.98.
Language: Английский
Citations
5
International Journal of Low-Carbon Technologies, Journal Year: 2025, Volume and Issue: 20, P. 269 - 278
Published: Jan. 1, 2025
Abstract This study examines the use of computational fluid dynamics to analyze and simulate 3D modeling a solar desalination plant with single slope design. It aims optimize large-scale by investigating factors like glass cover angle fin placement. Results show that 15° produced most freshwater (0.2957 kg/m2·h), while 60° decreased production 8.63%. Adding fins increased 53.32% improved heat transfer efficiency. These findings contribute developing an optimized model enhance efficiency, reduce energy consumption, lower carbon emissions.
Language: Английский
Citations
0
Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 133095 - 133095
Published: April 1, 2025
Language: Английский
Citations
0