IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v299y2024ics0360544224013252.html
   My bibliography  Save this article

Research on the impacts of operating frequency at combustion process for opposed single-cylinder free piston generator under direct injection

Author

Listed:
  • Yan, Xiaodong
  • Nie, Fuquan
  • Cui, Huasheng
  • Feng, Huihua
  • Jia, Boru
  • Zuo, Zhengxing
  • Wang, Yahui

Abstract

The opposed single-cylinder free piston generator（OSFPG）has the characteristics of compact structure, variable compression ratio and low emission characteristics of common free piston generator, etc. More, it also has unique features such as high unit power, low vibration noise, and good motion stability, etc. So, in this research, a physical prototype platform based on OSFPG is built. For the key factors, both experiment and simulation have been combined to investigate the changes in OSFPG's work performance under different operating frequencies. It was found that operating frequency affected OSFPG's working characteristics through the entire combustion period. More, the combustion period of each combustion stage increased with the increase of the operating frequency, and the increase amplitude was gradually reduced with the advancing of the ignition advance angle, but the operating frequency affected the after burning period most. When the operating frequency changed from 15 Hz to 35 Hz, the after burning period was extended by at least 100 %. The important thing was that the indicated thermal efficiency of the OSFPG increased first and then decreased with the increase of operating frequency. When the operating frequency was 25 Hz, the OSFPG's indicated thermal efficiency could reach 40.4 %.

Suggested Citation

  • Yan, Xiaodong & Nie, Fuquan & Cui, Huasheng & Feng, Huihua & Jia, Boru & Zuo, Zhengxing & Wang, Yahui, 2024. "Research on the impacts of operating frequency at combustion process for opposed single-cylinder free piston generator under direct injection," Energy, Elsevier, vol. 299(C).
    • Handle: RePEc:eee:energy:v:299:y:2024:i:c:s0360544224013252
    DOI: 10.1016/j.energy.2024.131552
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224013252
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131552?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Jian & Yang, Fubin & Zhang, Hongguang & Wu, Zhong & Tian, Yaming & Hou, Xiaochen & Xu, Yonghong & Ren, Jing, 2020. "Comparative analysis of different valve timing control methods for single-piston free piston expander-linear generator via an orthogonal experimental design," Energy, Elsevier, vol. 195(C).
    2. Hou, Xiaochen & Zhang, Hongguang & Xu, Yonghong & Yu, Fei & Zhao, Tenglong & Tian, Yaming & Yang, Yuxin & Zhao, Rui, 2018. "External load resistance effect on the free piston expander-linear generator for organic Rankine cycle waste heat recovery system," Applied Energy, Elsevier, vol. 212(C), pages 1252-1261.
    3. Jia, Boru & Smallbone, Andrew & Mikalsen, Rikard & Feng, Huihua & Zuo, Zhengxing & Roskilly, Anthony Paul, 2017. "Disturbance analysis of a free-piston engine generator using a validated fast-response numerical model," Applied Energy, Elsevier, vol. 185(P1), pages 440-451.
    4. Yan, Xiaodong & Feng, Huihua & Zuo, Zhengxing & Zhang, Zhiyuan & Wu, Limin & Shi, Cheng, 2021. "A study on the working characteristics of free piston linear generator with dual cylinder configuration by different secondary injection strategies," Energy, Elsevier, vol. 233(C).
    5. Ağbulut, Ümit & Ayyıldız, Mustafa & Sarıdemir, Suat, 2020. "Prediction of performance, combustion and emission characteristics for a CI engine at varying injection pressures," Energy, Elsevier, vol. 197(C).
    6. Shi, Cheng & Ji, Changwei & Ge, Yunshan & Wang, Shuofeng & Yang, Jinxin & Wang, Huaiyu, 2021. "Effects of split direct-injected hydrogen strategies on combustion and emissions performance of a small-scale rotary engine," Energy, Elsevier, vol. 215(PA).
    7. Deh Kiani, M. Kiani & Ghobadian, B. & Tavakoli, T. & Nikbakht, A.M. & Najafi, G., 2010. "Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends," Energy, Elsevier, vol. 35(1), pages 65-69.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Zhong & Zhang, Hongguang & Liu, Zhongliang & Tian, Guohong & Hou, Xiaochen & Yang, Fubin, 2022. "Force and energy analysis of single-piston free-piston expander—linear generator," Energy, Elsevier, vol. 251(C).
    2. Wu, Zhong & Zhang, Hongguang & Liu, Zhongliang & Hou, Xiaochen & Li, Jian & Yang, Fubin & Zhang, Jian, 2021. "Experimental study on the performance of single-piston free-piston expander—linear generator," Energy, Elsevier, vol. 221(C).
    3. Ozsezen, Ahmet Necati & Canakci, Mustafa, 2011. "Performance and combustion characteristics of alcohol–gasoline blends at wide-open throttle," Energy, Elsevier, vol. 36(5), pages 2747-2752.
    4. Gao, Jianbing & Tian, Guohong & Ma, Chaochen & Huang, Liyong & Xing, Shikai, 2021. "Simulation of the impacts on a direct hydrogen injection opposed rotary piston engine performance by the injection strategies and equivalence ratios," Renewable Energy, Elsevier, vol. 179(C), pages 1204-1216.
    5. Çay, Yusuf & Korkmaz, Ibrahim & Çiçek, Adem & Kara, Fuat, 2013. "Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network," Energy, Elsevier, vol. 50(C), pages 177-186.
    6. Xu, Yonghong & Zhang, Hongguang & Yang, Fubin & Tong, Liang & Yan, Dong & Yang, Yifan & Wang, Yan & Wu, Yuting, 2022. "Performance of compressed air energy storage system under parallel operation mode of pneumatic motor," Renewable Energy, Elsevier, vol. 200(C), pages 185-217.
    7. Hailong Yang & Yonghong Xu & Xiaohui Zhong & Jiajun Zeng & Fubin Yang, 2024. "Experimental Investigation on the Performance of the Scroll Expander under Various Driving Cycles," Energies, MDPI, vol. 17(2), pages 1-24, January.
    8. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
    9. Zhang, Zhiyuan & Feng, Huihua & He, Hongwen & Jia, Boru & Zuo, Zhengxing & Liu, Chang & Smallbone, Andrew & Roskilly, Anthony Paul, 2023. "Demonstration of a single/dual cylinder free-piston engine generator prototype: Milestone achieved on system stability," Energy, Elsevier, vol. 278(PA).
    10. Safieddin Ardebili, M. & Ghobadian, B. & Najafi, G. & Chegeni, A., 2011. "Biodiesel production potential from edible oil seeds in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3041-3044, August.
    11. Ngwaka, Ugochukwu & Jia, Boru & Lawrence, Christopher & Wu, Dawei & Smallbone, Andrew & Roskilly, Anthony Paul, 2019. "The characteristics of a Linear Joule Engine Generator operating on a dry friction principle," Applied Energy, Elsevier, vol. 237(C), pages 49-59.
    12. Kshirsagar, Charudatta M. & Anand, Ramanathan, 2017. "Artificial neural network applied forecast on a parametric study of Calophyllum inophyllum methyl ester-diesel engine out responses," Applied Energy, Elsevier, vol. 189(C), pages 555-567.
    13. Xu, Desheng & Li, Yanfeng & Du, Tianmei & Zhong, Hua & Huang, Youbo & Li, Lei & Xiangling, Duanmu, 2024. "Investigating the influence of outdoor temperature variations on fire-induced smoke behavior in an atrium-type underground metro station using hybrid ventilation systems," Energy, Elsevier, vol. 287(C).
    14. Han, Dandan & E, Jiaqiang & Deng, Yuanwang & Chen, Jingwei & Leng, Erwei & Liao, Gaoliang & Zhao, Xiaohuan & Feng, Changling & Zhang, Feng, 2021. "A review of studies using hydrocarbon adsorption material for reducing hydrocarbon emissions from cold start of gasoline engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    15. Mousapour, Ashkan & Hajipour, Alireza & Rashidi, Mohammad Mehdi & Freidoonimehr, Navid, 2016. "Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction," Energy, Elsevier, vol. 94(C), pages 100-109.
    16. Jin, Yunli & Gao, Naiping & Zhu, Tong, 2022. "Effect of resistive load characteristics on the performance of Organic Rankine cycle (ORC)," Energy, Elsevier, vol. 246(C).
    17. Pourhoseini, S.H. & Namvar-Mahboub, M. & Hosseini, Ebrahim & Alimoradi, Ashkan, 2021. "A comparative exploration of thermal, radiative and pollutant emission characteristics of oil burner flame using palm oil biodiesel-diesel blend fuel and diesel fuel," Energy, Elsevier, vol. 217(C).
    18. An, Ning & Zhao, Weigang & Wang, Jianzhou & Shang, Duo & Zhao, Erdong, 2013. "Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting," Energy, Elsevier, vol. 49(C), pages 279-288.
    19. Geng, Heming & Wang, Yang & Zhen, Xudong & Liu, Yu & Li, Zhiyong, 2018. "Study on adaptive behavior and mechanism of compression ratio (or piston motion profile) for combustion parameters in hydraulic free piston engine," Applied Energy, Elsevier, vol. 211(C), pages 921-928.
    20. Yuan, Chenheng & Lu, Jiangchuan & Li, Shilei, 2023. "Thermoelectric coupling effect of secondary injection on gasoline fuel spray and mixing of a free vibration combustion alternator," Energy, Elsevier, vol. 281(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:299:y:2024:i:c:s0360544224013252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.