IDEAS home Printed from https://ideas.repec.org/r/eee/energy/v248y2022ics036054422200514x.html
   My bibliography  Save this item

Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wang, Chongyao & Wang, Xin & Wang, Huaiyu & Xu, Yonghong & Ge, Yunshan & Tan, Jianwei & Hao, Lijun & Wang, Yachao & Zhang, Mengzhu & Li, Ruonan, 2024. "Co-optimizing NOx emission and power output of a natural gas engine-ORC combined system through neural networks and genetic algorithms," Energy, Elsevier, vol. 289(C).
  2. Tian, Erlin & Lv, Guoning & Li, Zuhe, 2024. "Evaluation of emission of the hydrogen-enriched diesel engine through machine learning," Energy, Elsevier, vol. 307(C).
  3. Jiao, Huichao & Ye, Xianlei & Zou, Run & Wang, Nana & Liu, Jinxiang, 2022. "Comparative study on ignition and combustion between conventional spark-ignition method and near-wall surface ignition method for small-scale Wankel rotary engine," Energy, Elsevier, vol. 255(C).
  4. Shi, Cheng & Chai, Sen & Di, Liming & Ji, Changwei & Ge, Yunshan & Wang, Huaiyu, 2023. "Combined experimental-numerical analysis of hydrogen as a combustion enhancer applied to wankel engine," Energy, Elsevier, vol. 263(PC).
  5. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
  6. Shi, Ting & Wang, Huaiyu & Yang, Wenming & Peng, Xueyuan, 2024. "Mathematical modeling and optimization of gas foil bearings-rotor system in hydrogen fuel cell vehicles," Energy, Elsevier, vol. 290(C).
  7. Wang, Huaiyu & Wang, Xin & Ge, Yunshan & Wang, Shuofeng & Yang, Jinxin & Ji, Changwei, 2025. "Analyzing the impact of hydrogen direct injection parameters on flow field and combustion characteristics in Wankel rotary engines," Energy, Elsevier, vol. 319(C).
  8. Cesar de Lima Nogueira, Silvio & Och, Stephan Hennings & Moura, Luis Mauro & Domingues, Eric & Coelho, Leandro dos Santos & Mariani, Viviana Cocco, 2023. "Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering," Energy, Elsevier, vol. 280(C).
  9. Bao, Jianhui & Lei, Jian & Tian, Guohong & Wang, Xiaomeng & Wang, Huaiyu & Shi, Cheng, 2024. "A review of the application development and key technologies of rotary engines under the background of carbon neutrality," Energy, Elsevier, vol. 311(C).
  10. Yao, Dasuo & Qin, Jing & Pei, Yiqiang & Wang, Yingbo & Wang, Tongjin, 2024. "Comprehensive influence of rotary speed and intake closing timing on the combustion process of the elliptical rotary engine," Energy, Elsevier, vol. 313(C).
  11. Wang, Huaiyu & Ji, Changwei & Shi, Cheng & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan & Chang, Ke & Meng, Hao & Wang, Xin, 2023. "Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm," Energy, Elsevier, vol. 263(PD).
  12. Yuan, Hao & Goyal, Harsh & Islam, Reza & Giles, Karl & Howson, Simeon & Lewis, Andrew & Parsons, Dom & Esposito, Stefania & Akehurst, Sam & Jones, Peter & McAllister, Matthew & Littlefair, Bryn & Lu, , 2024. "Thermodynamics-based data-driven combustion modelling for modern spark-ignition engines," Energy, Elsevier, vol. 313(C).
  13. Bo Zhang & Huaiyu Wang & Shuofeng Wang, 2023. "Computational Investigation of Combustion, Performance, and Emissions of a Diesel-Hydrogen Dual-Fuel Engine," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
  14. Jia, Dongdong & Qiao, Junhao & Wang, Shuqian & Liu, Jingping & Guan, Jinhuan & Wang, Rumin & Duan, Xiongbo, 2025. "The effect of variable enhanced Miller cycle combined with EGR strategy on the cycle-by-cycle variations and performance of high compression ratio engines based on asynchronous valve opening strategy," Energy, Elsevier, vol. 320(C).
  15. Yang, Jinxin & Wang, Huaiyu & Ji, Changwei & Chang, Ke & Wang, Shuofeng, 2023. "Investigation of intake closing timing on the flow field and combustion process in a small-scaled Wankel rotary engine under various engine speeds designed for the UAV application," Energy, Elsevier, vol. 273(C).
  16. Farhan, Muhammad & Chen, Tianhao & Rao, Anas & Shahid, Muhammad Ihsan & Xiao, Qiuhong & Liu, Yongzheng & Ma, Fanhua, 2024. "Performance, emissions and combustion analysis of hydrogen-enriched compressed natural gas spark ignition engine by optimized Gaussian process regression and neural network at low speed on different l," Energy, Elsevier, vol. 302(C).
  17. Tan, Guikun & Li, Ji & Lu, Guoxiang & Li, Yanfei & Xu, Hongming & Shuai, Shijin, 2025. "Transfer learning based prediction of knock intensity in a hybrid dedicated engine using higher-octane gasoline for thermal efficiency improvement," Energy, Elsevier, vol. 320(C).
  18. Wan, Shuai & Zhou, Feng & Fu, Jianqin & Yu, Juan & Liu, Jingping & Abdellatief, Tamer M.M. & Duan, Xiongbo, 2024. "Effects of hydrogen addition and exhaust gas recirculation on thermodynamics and emissions of ultra-high compression ratio spark ignition engine fueled with liquid methane," Energy, Elsevier, vol. 306(C).
  19. Rao, Anas & Li, Wei & Abbasi, Muhammad Salman & Shahid, Muhammad Ihsan & Farhan, Muhammad & Zulfiqar, Sana & Chen, Tianhao & Ma, Fanhua & Li, Xin, 2025. "Machine learning-enhanced combustion modeling for predicting laminar burning velocity of ammonia-hydrogen mixtures using improved reaction mechanisms," Energy, Elsevier, vol. 320(C).
  20. Meng, Hao & Zhan, Qiang & Ji, Changwei & Yang, Jinxin & Wang, Shuofeng, 2025. "Comprehensive multi-performance research of hydrogen-fueled Wankel rotary engine by experimental and data-driven methods," Energy, Elsevier, vol. 319(C).
  21. Wang, Huaiyu & Ji, Changwei & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan, 2022. "Towards a comprehensive optimization of the intake characteristics for side ported Wankel rotary engines by coupling machine learning with genetic algorithm," Energy, Elsevier, vol. 261(PB).
  22. Chang, Ke & Ji, Changwei & Wang, Shuofeng & Yang, Jinxin & Wang, Huaiyu & Xin, Gu & Meng, Hao, 2022. "Numerical investigation of the combined effect of injection angle and injection pressure in a gasoline direct injection rotary engine," Energy, Elsevier, vol. 254(PB).
  23. Meng, Hao & Zhan, Qiang & Ji, Changwei & Yang, Jinxin & Wang, Shuofeng, 2024. "Identification, prediction and classification of hydrogen-fueled Wankel rotary engine knock by data-driven based on combustion parameters," Energy, Elsevier, vol. 308(C).
  24. Yun Chen & Chengwei Liang & Dengcheng Liu & Qingren Niu & Xinke Miao & Guangyu Dong & Liguang Li & Shanbin Liao & Xiaoci Ni & Xiaobo Huang, 2022. "Embedding-Graph-Neural-Network for Transient NOx Emissions Prediction," Energies, MDPI, vol. 16(1), pages 1-20, December.
  25. Chang, Ke & Ji, Changwei & Wang, Shuofeng & Yang, Jinxin & Wang, Huaiyu & Meng, Hao & Liu, Dianqing, 2023. "Numerical investigation of the synchronous and asynchronous changes of ignition timing in a double spark plugs direct injection rotary engine," Energy, Elsevier, vol. 268(C).
  26. Farhan, Muhammad & Chen, Tianhao & Rao, Anas & Shahid, Muhammad Ihsan & Xiao, Qiuhong & Salam, Hamza Ahmad & Ma, Fanhua, 2024. "An experimental study of knock analysis of HCNG fueled SI engine by different methods and prediction of knock intensity by particle swarm optimization-support vector machine," Energy, Elsevier, vol. 309(C).
  27. Li, Ji & Zhou, Quan & He, Xu & Chen, Wan & Xu, Hongming, 2023. "Data-driven enabling technologies in soft sensors of modern internal combustion engines: Perspectives," Energy, Elsevier, vol. 272(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.