IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v233y2021ics0360544221013542.html
   My bibliography  Save this article

Application of machine learning tools for constrained multi-objective optimization of an HCCI engine

Author

Listed:
  • Gharehghani, Ayat
  • Abbasi, Hamid Reza
  • Alizadeh, Pouria

Abstract

Because of strict emission regulations, significant efforts are made by researchers to reduce the pollutants from internal combustion engines. Homogeneous mixture of fuel and air in Homogeneous Charge Compression Ignition (HCCI) engine results in lower amounts of thermal NOx while CO and HC emissions would be higher in this process. Besides, performance instability due to knock and misfire is another problem that HCCI engines are facing. In this paper, machine learning tools have been implemented to learn the behavior of a single-cylinder engine using three different fuels with the HCCI strategy. Changes in six objective functions with engine Inlet Valve Closing (IVC) temperature and air-fuel equivalence ratio are studied with the help of an Artificial Neural Network (ANN). Those objective functions are thermal efficiency, combustion efficiency, IMEP, together with NOx, CO, and HC emissions. A multi-objective optimization algorithm based on a decomposition method and genetic algorithm is used to identify the best operating condition of studied fuels. Results show that HCCI engine fueled with Ethanol and Methanol could produce significantly lower HC and CO emissions at their optimum point. However, the produced NOx would be higher in these cases comparing to the engine fueled with CNG. The genetic algorithm indicates that the optimum point of operation for CNG-fueled engine is TIVC ≈ 445 K while λ ≈ 2.25. In contrast, for the Ethanol-fueled case, this optimum point is located in the IVC temperature of ≈450 K and λ ≈ 2.75. The TOPSIS point is located in minimum air-fuel equivalence ratio and lower IVC temperatures (TIVC ≈ 420 K) when the engine is being operated with Methanol as fuel.

Suggested Citation

  • Gharehghani, Ayat & Abbasi, Hamid Reza & Alizadeh, Pouria, 2021. "Application of machine learning tools for constrained multi-objective optimization of an HCCI engine," Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221013542
    DOI: 10.1016/j.energy.2021.121106
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221013542
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121106?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. Solmaz, Hamit & Safieddin Ardebili, Seyed Mohammad & Aksoy, Fatih & Calam, Alper & Yılmaz, Emre & Arslan, Muhammed, 2020. "Optimization of the operating conditions of a beta-type rhombic drive stirling engine by using response surface method," Energy, Elsevier, vol. 198(C).
    2. Hou, Junxing & Qiao, Xinqi & Wang, Zhen & Liu, Wei & Huang, Zhen, 2010. "Characterization of knocking combustion in HCCI DME engine using wavelet packet transform," Applied Energy, Elsevier, vol. 87(4), pages 1239-1246, April.
    3. Millo, Federico & Arya, Pranav & Mallamo, Fabio, 2018. "Optimization of automotive diesel engine calibration using genetic algorithm techniques," Energy, Elsevier, vol. 158(C), pages 807-819.
    4. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Shugang & Gong, Xuemei, 2018. "A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 228(C), pages 1399-1412.
    5. Li, Yaopeng & Jia, Ming & Han, Xu & Bai, Xue-Song, 2021. "Towards a comprehensive optimization of engine efficiency and emissions by coupling artificial neural network (ANN) with genetic algorithm (GA)," Energy, Elsevier, vol. 225(C).
    6. 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.
    7. Fagundez, J.L.S. & Lanzanova, T.D.M. & Martins, M.E.S. & Salau, N.P.G., 2020. "Joint use of artificial neural networks and particle swarm optimization to determine optimal performance of an ethanol SI engine operating with negative valve overlap strategy," Energy, Elsevier, vol. 204(C).
    8. Singh, Yashvir & Sharma, Abhishek & Tiwari, Sumit & Singla, Amneesh, 2019. "Optimization of diesel engine performance and emission parameters employing cassia tora methyl esters-response surface methodology approach," Energy, Elsevier, vol. 168(C), pages 909-918.
    9. Lee, Seungpil & Park, Sungwook, 2017. "Optimization of the piston bowl geometry and the operating conditions of a gasoline-diesel dual-fuel engine based on a compression ignition engine," Energy, Elsevier, vol. 121(C), pages 433-448.
    10. Jaliliantabar, Farzad & Ghobadian, Barat & Najafi, Gholamhassan & Mamat, Rizalman & Carlucci, Antonio Paolo, 2019. "Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation," Energy, Elsevier, vol. 187(C).
    11. Dey, Suman & Reang, Narath Moni & Majumder, Arindam & Deb, Madhujit & Das, Pankaj Kumar, 2020. "A hybrid ANN-Fuzzy approach for optimization of engine operating parameters of a CI engine fueled with diesel-palm biodiesel-ethanol blend," Energy, Elsevier, vol. 202(C).
    12. Bhowmik, Subrata & Paul, Abhishek & Panua, Rajsekhar & Ghosh, Subrata Kumar, 2020. "Performance, combustion and emission characteristics of a diesel engine fueled with diesel-kerosene-ethanol: A multi-objective optimization study," Energy, Elsevier, vol. 211(C).
    13. Ghazimirsaied, Ahmad & Koch, Charles Robert, 2012. "Controlling cyclic combustion timing variations using a symbol-statistics predictive approach in an HCCI engine," Applied Energy, Elsevier, vol. 92(C), pages 133-146.
    14. Moradi, Jamshid & Gharehghani, Ayat & Mirsalim, Mostafa, 2020. "Numerical investigation on the effect of oxygen in combustion characteristics and to extend low load operating range of a natural-gas HCCI engine," Applied Energy, Elsevier, vol. 276(C).
    15. Yusaf, Talal F. & Buttsworth, D.R. & Saleh, Khalid H. & Yousif, B.F., 2010. "CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network," Applied Energy, Elsevier, vol. 87(5), pages 1661-1669, May.
    16. Tadros, M. & Ventura, M. & Guedes Soares, C., 2019. "Optimization procedure to minimize fuel consumption of a four-stroke marine turbocharged diesel engine," Energy, Elsevier, vol. 168(C), pages 897-908.
    17. 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.
    18. Bendu, Harisankar & Deepak, B.B.V.L. & Murugan, S., 2017. "Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO," Applied Energy, Elsevier, vol. 187(C), pages 601-611.
    19. Mansoury, M. & Jafarmadar, S. & Talei, M. & Lashkarpour, S.M., 2017. "Optimization of HCCI (Homogeneous Charge Compression Ignition) engine combustion chamber walls temperature to achieve optimum IMEP using LHS and Nelder Mead algorithm," Energy, Elsevier, vol. 119(C), pages 938-949.
    20. 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.
    21. Zheng, Junnian & Caton, Jerald A., 2012. "Effects of operating parameters on nitrogen oxides emissions for a natural gas fueled homogeneous charged compression ignition engine (HCCI): Results from a thermodynamic model with detailed chemistry," Applied Energy, Elsevier, vol. 92(C), pages 386-394.
    22. Gan, Suyin & Ng, Hoon Kiat & Pang, Kar Mun, 2011. "Homogeneous Charge Compression Ignition (HCCI) combustion: Implementation and effects on pollutants in direct injection diesel engines," Applied Energy, Elsevier, vol. 88(3), pages 559-567, March.
    23. 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.
    24. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Zhihua & Wang, Shugang, 2018. "A model-based design optimization strategy for ground source heat pump systems with integrated photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 214(C), pages 178-190.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Kale, Aneesh Vijay & Krishnasamy, Anand, 2023. "Experimental study of homogeneous charge compression ignition combustion in a light-duty diesel engine fueled with isopropanol–gasoline blends," Energy, Elsevier, vol. 264(C).
    2. Kale, Aneesh Vijay & Krishnasamy, Anand, 2023. "Numerical investigation on selecting appropriate piston bowl geometry and compression ratio for gasoline-fuelled homogeneous charge compression ignited light-duty diesel engine," Energy, Elsevier, vol. 282(C).
    3. 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).
    4. Ma, Dingyuan & Li, Xiaodong & Lin, Borong & Zhu, Yimin, 2023. "An intelligent retrofit decision-making model for building program planning considering tacit knowledge and multiple objectives," Energy, Elsevier, vol. 263(PB).
    5. 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).
    6. Kale, Aneesh Vijay & Krishnasamy, Anand, 2024. "Experimental study on combustion, performance, and emission characteristics of a homogeneous charge compression ignition engine fuelled with multiple biofuel-gasoline blends," Energy, Elsevier, vol. 288(C).

    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. 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.
    2. Li, Zilong & Zhang, Yaoyuan & Huang, Guan & Zhao, Wenbin & He, Zhuoyao & Qian, Yong & Lu, Xingcai, 2020. "Control of intake boundary conditions for enabling clean combustion in variable engine conditions under intelligent charge compression ignition (ICCI) mode," Applied Energy, Elsevier, vol. 274(C).
    3. 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).
    4. Suman Dey & Akhilendra Pratap Singh & Sameer Sheshrao Gajghate & Sagnik Pal & Bidyut Baran Saha & Madhujit Deb & Pankaj Kumar Das, 2023. "Optimization of CI Engine Performance and Emissions Using Alcohol–Biodiesel Blends: A Regression Analysis Approach," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    5. 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).
    6. Andwari, Amin Mahmoudzadeh & Aziz, Azhar Abdul & Said, Mohd Farid Muhamad & Latiff, Zulkarnain Abdul, 2014. "Experimental investigation of the influence of internal and external EGR on the combustion characteristics of a controlled auto-ignition two-stroke cycle engine," Applied Energy, Elsevier, vol. 134(C), pages 1-10.
    7. Naili, Nabiha & Kooli, Sami, 2021. "Solar-assisted ground source heat pump system operated in heating mode: A case study in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    8. Biglarian, Hassan & Abdollahi, Sina, 2022. "Utilization of on-grid photovoltaic panels to offset electricity consumption of a residential ground source heat pump," Energy, Elsevier, vol. 243(C).
    9. Moradi, Jamshid & Gharehghani, Ayat & Mirsalim, Mostafa, 2020. "Numerical investigation on the effect of oxygen in combustion characteristics and to extend low load operating range of a natural-gas HCCI engine," Applied Energy, Elsevier, vol. 276(C).
    10. 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).
    11. Elisa Marrasso & Carlo Roselli & Francesco Tariello, 2020. "Comparison of Two Solar PV-Driven Air Conditioning Systems with Different Tracking Modes," Energies, MDPI, vol. 13(14), pages 1-24, July.
    12. Shen, Zhaojie & Wang, Xinyan & Zhao, Hua & Lin, Bo & Shen, Yitao & Yang, Jianguo, 2021. "Numerical investigation of natural gas-diesel dual-fuel engine with different piston geometries and radial clearances," Energy, Elsevier, vol. 220(C).
    13. Zhao, Wenbin & Mi, Shijie & Wu, Haoqing & Zhang, Yaoyuan & Zhang, Qiankun & He, Zhuoyao & Qian, Yong & Lu, Xingcai, 2022. "Towards a comprehensive understanding of mode transition between biodiesel-biobutanol dual-fuel ICCI low temperature combustion and conventional CI combustion – Part Ⅰ: Characteristics from medium to ," Energy, Elsevier, vol. 246(C).
    14. Choi, Hwi-Ung & Choi, Kwang-Hwan, 2023. "Numerical study on the performance of a solar-assisted heat pump coupled with a photovoltaic-thermal air heater," Energy, Elsevier, vol. 285(C).
    15. 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.
    16. Hunicz, Jacek & Mikulski, Maciej & Koszałka, Grzegorz & Ignaciuk, Piotr, 2020. "Detailed analysis of combustion stability in a spark-assisted compression ignition engine under nearly stoichiometric and heavy EGR conditions," Applied Energy, Elsevier, vol. 280(C).
    17. Wu, Horng-Wen & Wang, Ren-Hung & Ou, Dung-Je & Chen, Ying-Chuan & Chen, Teng-yu, 2011. "Reduction of smoke and nitrogen oxides of a partial HCCI engine using premixed gasoline and ethanol with air," Applied Energy, Elsevier, vol. 88(11), pages 3882-3890.
    18. Noye, Sarah & Mulero Martinez, Rubén & Carnieletto, Laura & De Carli, Michele & Castelruiz Aguirre, Amaia, 2022. "A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    19. 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).
    20. Çelebi, Samet & Kocakulak, Tolga & Demir, Usame & Ergen, Gökhan & Yilmaz, Emre, 2023. "Optimizing the effect of a mixture of light naphtha, diesel and gasoline fuels on engine performance and emission values on an HCCI engine," Applied Energy, Elsevier, vol. 330(PB).

    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:233:y:2021:i:c:s0360544221013542. 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.