IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7899-d1293507.html
   My bibliography  Save this article

Study on the Effect of Parameter Sensitivity on Engine Optimization Results

Author

Listed:
  • Kuo Jiang

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Hong Zeng

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China
    Dalian Maritime University Smart Ship Limited Company, Dalian 116026, China)

  • Zefan Wu

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Jianping Sun

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Cai Chen

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Bing Han

    (National Engineering Research Center of Ship & Shipping Control System, Shanghai 200100, China)

Abstract

The effects of six control parameters, intake valve opening timing (IVO), exhaust valve opening timing (EVO), compression ratio (CR), engine speed, intake temperature, and intake pressure on engine output power, indicated specific fuel consumption (ISFC), and nitrogen oxides (NOx) emissions, are analyzed through engine simulation. The six parameters were categorized into two groups based on the degree of influence: high influence (EVO, speed and intake pressure) and low influence (CR, IVO and intake temperature). The relationship between these two groups of parameters and power, ISFC and NOx emissions was explored. Optimization was carried out for each of the two groups of parameters, and the optimization of the high impact parameters resulted in a higher diversity and wider distribution of the solution set. On the other hand, the optimization of the low-impact parameters resulted in a more concentrated distribution of the solution set, while better reflecting the trade-off between the optimization objectives. For the optimal solutions for both sets of parameters, the high-impact parameters provided significant optimization performance compared to the standard operating conditions. Although power and ISFC were optimized, the optimal solution for the low-impact parameter performed poorly with a significant increase in NOx emissions. Therefore, the parameters should be evaluated for optimization using high impact parameters to improve engine performance.

Suggested Citation

  • Kuo Jiang & Hong Zeng & Zefan Wu & Jianping Sun & Cai Chen & Bing Han, 2023. "Study on the Effect of Parameter Sensitivity on Engine Optimization Results," Energies, MDPI, vol. 16(23), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7899-:d:1293507
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7899/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/23/7899/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Jie & Wang, Junle & Zhao, Hongbo, 2018. "Optimization of the injection parameters and combustion chamber geometries of a diesel/natural gas RCCI engine," Energy, Elsevier, vol. 164(C), pages 837-852.
    2. Yusri, I.M. & Abdul Majeed, A.P.P. & Mamat, R. & Ghazali, M.F. & Awad, Omar I. & Azmi, W.H., 2018. "A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 665-686.
    3. Poorghasemi, Kamran & Saray, Rahim Khoshbakhti & Ansari, Ehsan & Irdmousa, Behrouz Khoshbakht & Shahbakhti, Mehdi & Naber, Jeffery D., 2017. "Effect of diesel injection strategies on natural gas/diesel RCCI combustion characteristics in a light duty diesel engine," Applied Energy, Elsevier, vol. 199(C), pages 430-446.
    4. Motlagh, Tara Yazdani & Azadani, Leila N. & Yazdani, Kaveh, 2020. "Multi-objective optimization of diesel injection parameters in a natural gas/diesel reactivity controlled compression ignition engine," Applied Energy, Elsevier, vol. 279(C).
    5. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    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. Motlagh, Tara Yazdani & Azadani, Leila N. & Yazdani, Kaveh, 2020. "Multi-objective optimization of diesel injection parameters in a natural gas/diesel reactivity controlled compression ignition engine," Applied Energy, Elsevier, vol. 279(C).
    2. Ayat Gharehghani & Alireza Kakoee & Amin Mahmoudzadeh Andwari & Thanos Megaritis & Apostolos Pesyridis, 2021. "Numerical Investigation of an RCCI Engine Fueled with Natural Gas/Dimethyl-Ether in Various Injection Strategies," Energies, MDPI, vol. 14(6), pages 1-25, March.
    3. Percy, A. Jemila & Edwin, M., 2023. "Studies on the performance and emission characteristics of a dual fuel VCR engine using producer gas as secondary fuel: An optimization approach using response surface methodology," Energy, Elsevier, vol. 263(PA).
    4. Zhang, Wei & Chang, Shaoyue & Wu, Wei & Dong, Lihui & Chen, Zhaohui & Chen, Guisheng, 2019. "A diesel/natural gas dual fuel mechanism constructed to reveal combustion and emission characteristics," Energy, Elsevier, vol. 179(C), pages 59-75.
    5. Jingrui Li & Jietuo Wang & Teng Liu & Jingjin Dong & Bo Liu & Chaohui Wu & Ying Ye & Hu Wang & Haifeng Liu, 2019. "An Investigation of the Influence of Gas Injection Rate Shape on High-Pressure Direct-Injection Natural Gas Marine Engines," Energies, MDPI, vol. 12(13), pages 1-18, July.
    6. Amin, M.G. Mostofa & Šimůnek, Jirka & Lægdsmand, Mette, 2014. "Simulation of the redistribution and fate of contaminants from soil-injected animal slurry," Agricultural Water Management, Elsevier, vol. 131(C), pages 17-29.
    7. Sungur, Bilal & Basar, Cem & Kaleli, Alirıza, 2023. "Multi-objective optimisation of the emission parameters and efficiency of pellet stove at different supply airflow positions based on machine learning approach," Energy, Elsevier, vol. 278(PA).
    8. Firmansyah & A. Rashid A. Aziz & Morgan Raymond Heikal & Ezrann Z. Zainal A., 2017. "Diesel/CNG Mixture Autoignition Control Using Fuel Composition and Injection Gap," Energies, MDPI, vol. 10(10), pages 1-12, October.
    9. Confalonieri, Roberto & Acutis, Marco & Bellocchi, Gianni & Donatelli, Marcello, 2009. "Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice," Ecological Modelling, Elsevier, vol. 220(11), pages 1395-1410.
    10. Shu, Jun & Fu, Jianqin & Liu, Jingping & Ma, Yinjie & Wang, Shuqian & Deng, Banglin & Zeng, Dongjian, 2019. "Effects of injector spray angle on combustion and emissions characteristics of a natural gas (NG)-diesel dual fuel engine based on CFD coupled with reduced chemical kinetic model," Applied Energy, Elsevier, vol. 233, pages 182-195.
    11. Taghavifar, Hadi & Mazari, Farhad, 2022. "1D diesel engine cycle modeling integrated with MOPSO optimization for improved NOx control and pressure boost," Energy, Elsevier, vol. 247(C).
    12. Zhang, Rongda & Wei, Jing & Zhao, Xiaoli & Liu, Yang, 2022. "Economic and environmental benefits of the integration between carbon sequestration and underground gas storage," Energy, Elsevier, vol. 260(C).
    13. Pachiannan, Tamilselvan & Zhong, Wenjun & Rajkumar, Sundararajan & He, Zhixia & Leng, Xianying & Wang, Qian, 2019. "A literature review of fuel effects on performance and emission characteristics of low-temperature combustion strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    14. Ahmad, Zeeshan & Kaario, Ossi & Qiang, Cheng & Vuorinen, Ville & Larmi, Martti, 2019. "A parametric investigation of diesel/methane dual-fuel combustion progression/stages in a heavy-duty optical engine," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    15. Wenyu Gu & Wanhua Su, 2023. "Study on the Effects of Exhaust Gas Recirculation and Fuel Injection Strategy on Transient Process Performance of Diesel Engines," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
    16. Benajes, J. & Novella, R. & Pastor, J.M. & Hernández-López, A. & Duverger, T., 2017. "A computational analysis of the impact of bore-to-stroke ratio on emissions and efficiency of a HSDI engine," Applied Energy, Elsevier, vol. 205(C), pages 903-910.
    17. How, H.G. & Teoh, Y.H. & Krishnan, B. Navaneetha & Le, T.D. & Nguyen, H.T. & Prabhu, C., 2021. "Prediction of optimum Palm Oil Methyl Ester fuel blend for compression ignition engine using Response Surface Methodology," Energy, Elsevier, vol. 234(C).
    18. Lee, Chia-fon & Pang, Yuxin & Wu, Han & Nithyanandan, Karthik & Liu, Fushui, 2020. "An optical investigation of substitution rates on natural gas/diesel dual-fuel combustion in a diesel engine," Applied Energy, Elsevier, vol. 261(C).
    19. Chen, Wei & Pan, Jianfeng & Liu, Yangxian & Fan, Baowei & Liu, Hongjun & Otchere, Peter, 2019. "Numerical investigation of direct injection stratified charge combustion in a natural gas-diesel rotary engine," Applied Energy, Elsevier, vol. 233, pages 453-467.
    20. Bryant, Jeremy & Lopez-Villalobos, Nicolas & Holmes, Colin & Pryce, Jennie & Rossi, Jose & Macdonald, Kevin, 2008. "Development and evaluation of a pastoral simulation model that predicts dairy cattle performance based on animal genotype and environmental sensitivity information," Agricultural Systems, Elsevier, vol. 97(1-2), pages 13-25, April.

    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:gam:jeners:v:16:y:2023:i:23:p:7899-:d:1293507. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.