管理能源转型与环境保护一起,利用人工智能为主导的醇驱动SI引擎优化,符合可持续发展目标
Muhammad Ali Ijaz Malik1, Muhammad Usman2, Muhammad Waqas Rafique2
1School of Civil and Environmental Engineering, FEIT, University of Technology Sydney, NSW, 2007, Australia.
butanol-汽油混合物为汽油提供了可持续的替代品,提高了发动机效率并减少了碳排放. 人工智能模型准确地预测性能,有利于人工神经网络 (ANN) 获得最佳结果.
科学领域:
- * 工程 * 工程师 *
- * * 可持续能源 可持续能源
背景情况:
- * 化石燃料储备的枯竭和价格波动需要替代能源.
- * 布坦醇为内燃机提供了一个有前途的氧化生物燃料.
研究的目的:
- * 评估火花点火 (SI) 发动机中butanol-汽油混合物的性能和排放.
- * 开发和比较人工智能 (AI) 模型,用于预测这些混合物的发动机性能.
主要方法:
- * 测试了8种醇-汽油燃料混合物,用于各种发动机转速和负载.
- *利用人工神经网络 (ANN) 和响应表面方法 (RSM) 进行性能预测.
- *使用相关系数和R平方值对AI模型准确性的统计验证.
主要成果:
- *与汽油相比,butanol混合物提高了发动机效率和功率,同时降低了燃料消耗和碳排放.
- * ANN 模型在发动机性能方面显示出高预测准确度 (相关系数> 0.999).
- * RSM提供了参数相互作用的见解,R-平方值接近于单位,平均相对误差 (MRE) 较低.
结论:
- *醇是一种可行的汽油替代品,可以提高发动机性能并减少对环境的影响.
- *ANN模型在预测使用布他诺混合物的发动机性能方面非常有效.
- * 综合RSM和ANN方法可以提高统计预测和分析的可靠性.
更多相关视频
06:39Author Spotlight: Design and Evaluation of Au-Electroplated Carbon Fiber Cloth Electrodes for Hydrogen Peroxide Fuel Cells
Published on: October 20, 2023
10:36Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
Published on: November 3, 2023
相关概念视频
Batteries and Fuel Cells
Otto and Diesel Cycle
Internal Combustion Engine
Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes
Alkanes undergo combustion in the presence of excess oxygen and high-temperature conditions to give carbon dioxide and water. A combustion reaction is the energy source in natural gas, liquified...
Reduction of Alkenes: Catalytic Hydrogenation
Metals like palladium, platinum, and nickel are commonly used in their solid forms — fine powder on an inert surface. As these catalysts remain insoluble in the reaction mixture, they are referred to as heterogeneous catalysts.
The hydrogenation process takes place on the...
