Optimisation of operating parameters on the performance characteristics of a free piston engine linear generator fuelled by CNG-H2 blends using the response surface methodology (RSM)

被引:19
|
作者
Raheem, Ahmed T. [1 ,2 ]
Aziz, A. Rashid A. [1 ,2 ]
Zulkifli, Saiful A. [1 ,3 ]
Baharom, Masri B. [1 ,2 ]
Rahem, Abdalrazak T. [4 ]
Ayandotun, Wasiu B. [2 ,5 ]
机构
[1] Univ Teknol Petronas, Ctr Automot Res & Elect Mobil CAREM, Seri Iskandar 32610, Perak, Malaysia
[2] Univ Teknol Petronas, Dept Mech Engn, Seri Iskandar 32610, Perak, Malaysia
[3] Univ Teknol Petronas, Dept Elect & Elect Engn, Seri Iskandar 32610, Perak, Malaysia
[4] Middle Tech Univ, Coll Elect & Elect Technol, Baghdad, Iraq
[5] Fed Polytech, Mech Engn Dept, PMB 1012, Kaura Namoda, Zamfara State, Nigeria
关键词
Linear free piston engine; Engine performance; Optimisation; Response surface methodology; NUMERICAL-MODEL; COMBUSTION PROCESS; HYDROGEN ADDITION; STABLE OPERATION; STARTING PROCESS; CONTROL STRATEGY; SIMULATION; INJECTION; TRANSITION; STROKE;
D O I
10.1016/j.ijhydene.2021.10.125
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The free piston engine linear generator (FPELG) is a simple engine structure with few components, making it a promising power generation system. However, because the engine works without a crankshaft, the handling of the piston motion control (PMC) is the main challenge influencing the stability and performance of FPELGs. In this article, the optimal operating parameters of FPELG for maximising engine performance and reducing exhaust gas emissions were studied. Moreover, the influence of adding hydrogen (H2) to compressed natural gas (CNG) fuel on FPELG performance was investigated. The influence of operating parameters on in-cylinder pressure was also analysed. The single-piston FPELG fuelled by CNG blended with H2 was used to run the experiments. The response surface methodology (RSM), including the central composite design (CCD), was used. Then, adequacy models were developed and verified by ANOVA. Three independent factors on seven responses were utilised for optimisation. Results showed that the optimal operating conditions of lambda, ignition velocity, and injection position were 0.96, 0.53 m/s, and -14.9 mm, respectively. The best-predicted values were as follows: indicated mean effective pressure (IMEP) of 7.6 bar, in-cylinder pressure of 27.87 bar, combustion efficiency of 39.64%, CO of 9531.41 ppm, CO2 of 2.4%, HC of 551.75 ppm, and NOX of 113.737 ppm. Furthermore, results showed that the experimental data could be fitted well with the (c) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1996 / 2016
页数:21
相关论文
共 45 条
  • [1] Investigation on the combustion and performance characteristics of a DI free piston linear generator engine fuelled with CNG-CO2 blend
    Ayandotun, Wasiu B.
    Aziz, A. Rashid A.
    Karim, Zainal A. B. Abdul
    Mohammed, Salah E.
    Zainal, Ezrann Z. A.
    Raheem, Ahmed T.
    Ismael, Mhadi A.
    APPLIED THERMAL ENGINEERING, 2021, 198
  • [2] Performance prediction and parameters optimization of an opposed-piston free piston engine generator using response surface methodology
    Yang, Fengyuan
    Feng, Huihua
    Wu, Limin
    Zhang, Zhiyuan
    Wang, Jiayu
    ENERGY CONVERSION AND MANAGEMENT, 2023, 295
  • [3] Comparative assessment of the performance and combustion attributes of a free piston linear generator fuelled with CNG and CNG-CO2
    Ayandotun, Wasiu B.
    Aziz, A. Rashid A.
    Ismael, Mhadi A.
    Mohammed, Salah E.
    Raheem, Ahmed T.
    CASE STUDIES IN THERMAL ENGINEERING, 2022, 38
  • [4] The performance characteristics of a hydrogen-fuelled free piston internal combustion engine and linear generator system
    Woo, Youngmin
    Lee, Youngjae
    Lee, Yonggyun
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2009, 4 (01) : 36 - 41
  • [5] Prediction and optimization of CI engine performance fuelled with Calophyllum inophyllum diesel blend using response surface methodology (RSM)
    Paramaguru Venugopal
    Ramesh Kasimani
    Suresh Chinnasamy
    Environmental Science and Pollution Research, 2018, 25 : 24829 - 24844
  • [6] Prediction and optimization of CI engine performance fuelled with Calophyllum inophyllum diesel blend using response surface methodology (RSM)
    Venugopal, Paramaguru
    Kasimani, Ramesh
    Chinnasamy, Suresh
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (25) : 24829 - 24844
  • [7] Performance and emission characteristics of a diesel engine operating on different water in diesel emulsion fuels: optimization using response surface methodology (RSM)
    Hoseini, Seyed Saeed
    Sobati, Mohammad Amin
    FRONTIERS IN ENERGY, 2019, 13 (04) : 636 - 657
  • [8] Performance and emission characteristics of a diesel engine operating on different water in diesel emulsion fuels: optimization using response surface methodology (RSM)
    Seyed Saeed Hoseini
    Mohammad Amin Sobati
    Frontiers in Energy, 2019, 13 : 636 - 657
  • [9] Optimization in the performance and emission parameters of a DI diesel engine fuelled with pentanol added Calophyllum inophyllum/diesel blends using response surface methodology
    Purnachandran Ramakrishnan
    Ramesh Kasimani
    Mohamed Shameer Peer
    Environmental Science and Pollution Research, 2018, 25 : 29115 - 29128
  • [10] Optimization in the performance and emission parameters of a DI diesel engine fuelled with pentanol added Calophyllum inophyllum/diesel blends using response surface methodology
    Ramakrishnan, Purnachandran
    Kasimani, Ramesh
    Peer, Mohamed Shameer
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (29) : 29115 - 29128