IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v144y2018icp110-119.html
   My bibliography  Save this article

Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

Author

Listed:
  • Redel-Macías, M.D.
  • Hervás-Martínez, C.
  • Gutiérrez, P.A.
  • Pinzi, S.
  • Cubero-Atienza, A.J.
  • Dorado, M.P.

Abstract

The properties of biodiesel differ depending on feedstock fatty acid content. Moreover, biodiesel fatty acid composition influences the combustion process. For these reasons, noise emissions of a direct injection Perkins diesel engine fueled with olive pomace oil methyl ester (monounsaturated methyl esters) and palm oil methyl ester (saturated methyl esters) were studied under several steady-state engine operating conditions. In this work, different approaches for sound prediction of the engine based on Neural Network (NN) models, such as Product Unit NN (PUNN), Radial Basis Function NN (RBFNN) and response surface models have been proposed. Error was measured considering Mean Square Error (MSE) and Standard Error of Prediction (SEP). It can be concluded that the use of a hybrid model combining PU and RBF improves noise prediction accuracy, providing an acceptable value of both MSE and SEP when monounsaturated methyl ester/diesel fuel blends are used. However, best results for saturated methyl ester/diesel fuel blends were achieved by PUNN model. Whereas taking into account the simplicity of the model, PUNN model is the most appropriate for both monounsaturated and saturated methyl ester/diesel fuel blends. Response surface models have shown worse results based on the coefficient of correlation. Also, the effect of independent variables in the models has been studied and an inverse relationship between frequency and engine noise has been found.

Suggested Citation

  • Redel-Macías, M.D. & Hervás-Martínez, C. & Gutiérrez, P.A. & Pinzi, S. & Cubero-Atienza, A.J. & Dorado, M.P., 2018. "Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters," Energy, Elsevier, vol. 144(C), pages 110-119.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:110-119
    DOI: 10.1016/j.energy.2017.11.143
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217320017
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.11.143?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. Najafi, G. & Ghobadian, B. & Tavakoli, T. & Buttsworth, D.R. & Yusaf, T.F. & Faizollahnejad, M., 2009. "Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network," Applied Energy, Elsevier, vol. 86(5), pages 630-639, May.
    2. Hulwan, Dattatray Bapu & Joshi, Satishchandra V., 2011. "Performance, emission and combustion characteristic of a multicylinder DI diesel engine running on diesel–ethanol–biodiesel blends of high ethanol content," Applied Energy, Elsevier, vol. 88(12), pages 5042-5055.
    3. Pullen, James & Saeed, Khizer, 2014. "Factors affecting biodiesel engine performance and exhaust emissions – Part I: Review," Energy, Elsevier, vol. 72(C), pages 1-16.
    4. 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.
    5. Galadima, Ahmad & Muraza, Oki, 2014. "Biodiesel production from algae by using heterogeneous catalysts: A critical review," Energy, Elsevier, vol. 78(C), pages 72-83.
    6. Bao, Y.D. & He, Y., 2006. "Study on noise of rapeseed oil blends in a single-cylinder diesel engine," Renewable Energy, Elsevier, vol. 31(11), pages 1789-1798.
    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. Huang, Haozhong & Huang, Rong & Guo, Xiaoyu & Pan, Mingzhang & Teng, Wenwen & Chen, Yingjie & Li, Zhongju, 2019. "Effects of pine oil additive and pilot injection strategies on energy distribution, combustion and emissions in a diesel engine at low-load condition," Applied Energy, Elsevier, vol. 250(C), pages 185-197.

    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. Tamilselvan, P. & Nallusamy, N. & Rajkumar, S., 2017. "A comprehensive review on performance, combustion and emission characteristics of biodiesel fuelled diesel engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1134-1159.
    2. Renzi, Massimiliano & Bietresato, Marco & Mazzetto, Fabrizio, 2016. "An experimental evaluation of the performance of a SI internal combustion engine for agricultural purposes fuelled with different bioethanol blends," Energy, Elsevier, vol. 115(P1), pages 1069-1080.
    3. Ma, Yingqun & Wang, Qunhui & Gao, Zhen & Sun, Xiaohong & Wang, Nan & Niu, Ruxuan & Ma, Hongzhi, 2016. "Transesterification of waste cooking oil using FeCl3-modified resin catalyst and the research of catalytic mechanism," Renewable Energy, Elsevier, vol. 86(C), pages 643-650.
    4. Zhang, Bo & Sarathy, S. Mani, 2016. "Lifecycle optimized ethanol-gasoline blends for turbocharged engines," Applied Energy, Elsevier, vol. 181(C), pages 38-53.
    5. Doppalapudi, A.T. & Azad, A.K. & Khan, M.M.K., 2023. "Advanced strategies to reduce harmful nitrogen-oxide emissions from biodiesel fueled engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    6. Mat Yasin, M.H. & Yusaf, Talal & Mamat, R. & Fitri Yusop, A., 2014. "Characterization of a diesel engine operating with a small proportion of methanol as a fuel additive in biodiesel blend," Applied Energy, Elsevier, vol. 114(C), pages 865-873.
    7. Rajaeifar, Mohammad Ali & Abdi, Reza & Tabatabaei, Meisam, 2017. "Expanded polystyrene waste application for improving biodiesel environmental performance parameters from life cycle assessment point of view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 278-298.
    8. He, Bang-Quan, 2016. "Advances in emission characteristics of diesel engines using different biodiesel fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 570-586.
    9. Mansir, Nasar & Teo, Siow Hwa & Rashid, Umer & Saiman, Mohd Izham & Tan, Yen Ping & Alsultan, G. Abdulkareem & Taufiq-Yap, Yun Hin, 2018. "Modified waste egg shell derived bifunctional catalyst for biodiesel production from high FFA waste cooking oil. A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3645-3655.
    10. Yesilyurt, Murat Kadir & Eryilmaz, Tanzer & Arslan, Mevlüt, 2018. "A comparative analysis of the engine performance, exhaust emissions and combustion behaviors of a compression ignition engine fuelled with biodiesel/diesel/1-butanol (C4 alcohol) and biodiesel/diesel/," Energy, Elsevier, vol. 165(PB), pages 1332-1351.
    11. Tse, H. & Leung, C.W. & Cheung, C.S., 2015. "Investigation on the combustion characteristics and particulate emissions from a diesel engine fueled with diesel-biodiesel-ethanol blends," Energy, Elsevier, vol. 83(C), pages 343-350.
    12. Suiuay, Chokchai & Laloon, Kittipong & Katekaew, Somporn & Senawong, Kritsadang & Noisuwan, Phakamat & Sudajan, Somposh, 2020. "Effect of gasoline-like fuel obtained from hard-resin of Yang (Dipterocarpus alatus) on single cylinder gasoline engine performance and exhaust emissions," Renewable Energy, Elsevier, vol. 153(C), pages 634-645.
    13. Teoh, Y.H. & How, H.G. & Masjuki, H.H. & Nguyen, H.-T. & Kalam, M.A. & Alabdulkarem, A., 2019. "Investigation on particulate emissions and combustion characteristics of a common-rail diesel engine fueled with Moringa oleifera biodiesel-diesel blends," Renewable Energy, Elsevier, vol. 136(C), pages 521-534.
    14. Vallinayagam, R. & Vedharaj, S. & Yang, W.M. & Roberts, W.L. & Dibble, R.W., 2015. "Feasibility of using less viscous and lower cetane (LVLC) fuels in a diesel engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1166-1190.
    15. Chang, Yu-Cheng & Lee, Wen-Jhy & Wu, Tser Son & Wu, Chang-Yu & Chen, Shui-Jen, 2014. "Use of water containing acetone–butanol–ethanol for NOx-PM (nitrogen oxide-particulate matter) trade-off in the diesel engine fueled with biodiesel," Energy, Elsevier, vol. 64(C), pages 678-687.
    16. 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.
    17. Chang, Yu-Cheng & Lee, Wen-Jhy & Wang, Lin-Chi & Yang, Hsi-Hsien & Cheng, Man-Ting & Lu, Jau-Huai & Tsai, Ying I. & Young, Li-Hao, 2014. "Effects of waste cooking oil-based biodiesel on the toxic organic pollutant emissions from a diesel engine," Applied Energy, Elsevier, vol. 113(C), pages 631-638.
    18. Wei, Liangjie & Cheung, C.S. & Huang, Zuohua, 2014. "Effect of n-pentanol addition on the combustion, performance and emission characteristics of a direct-injection diesel engine," Energy, Elsevier, vol. 70(C), pages 172-180.
    19. Sun, Wenqiang & Wang, Zihao & Wang, Qiang, 2020. "Hybrid event-, mechanism- and data-driven prediction of blast furnace gas generation," Energy, Elsevier, vol. 199(C).
    20. E, Jiaqiang & Pham, Minhhieu & Zhao, D. & Deng, Yuanwang & Le, DucHieu & Zuo, Wei & Zhu, Hao & Liu, Teng & Peng, Qingguo & Zhang, Zhiqing, 2017. "Effect of different technologies on combustion and emissions of the diesel engine fueled with biodiesel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 620-647.

    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:144:y:2018:i:c:p:110-119. 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.