IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v229y2021ics0360544221008707.html
   My bibliography  Save this article

Neuro fuzzy estimation of the most influential parameters for Kusum biodiesel performance

Author

Listed:
  • Petković, Dalibor
  • Barjaktarovic, Miljana
  • Milošević, Slaviša
  • Denić, Nebojša
  • Spasić, Boban
  • Stojanović, Jelena
  • Milovancevic, Milos

Abstract

In order to reduce cost of biodiesel production there is need to use non-edible oil. Kusum feed oil is non-edible oil, low cost and substantial available for biodiesel production. To improve Kusum biodiesel performance and emission parameters there is need to analyze input variables in more comprehensive way. It is suitable to establish computational models to obtain optimal parameters. The main goal of the paper was to establish and adaptive neuro fuzzy inference system (ANFIS) to determine the impact of blending, fuel injection timing, fuel injection pressure and engine load on brake thermal efficiency, unburnt hydrocarbons and oxides of nitrogen. It was found that the fuel injection pressure and engine load is the most influential factors on the brake thermal efficiency, unburnt hydrocarbons and oxides of nitrogen. The results could be useful for optimization of the Kusum biodiesel performance and emission parameters.

Suggested Citation

  • Petković, Dalibor & Barjaktarovic, Miljana & Milošević, Slaviša & Denić, Nebojša & Spasić, Boban & Stojanović, Jelena & Milovancevic, Milos, 2021. "Neuro fuzzy estimation of the most influential parameters for Kusum biodiesel performance," Energy, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:energy:v:229:y:2021:i:c:s0360544221008707
    DOI: 10.1016/j.energy.2021.120621
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221008707
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120621?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. Hoseini, S.S. & Najafi, G. & Ghobadian, B. & Ebadi, M.T. & Mamat, R. & Yusaf, T., 2020. "Biodiesels from three feedstock: The effect of graphene oxide (GO) nanoparticles diesel engine parameters fuelled with biodiesel," Renewable Energy, Elsevier, vol. 145(C), pages 190-201.
    2. Karthickeyan, V., 2019. "Effect of combustion chamber bowl geometry modification on engine performance, combustion and emission characteristics of biodiesel fuelled diesel engine with its energy and exergy analysis," Energy, Elsevier, vol. 176(C), pages 830-852.
    3. Hu, Pengfei & Cao, Lihua & Su, Jingkai & Li, Qi & Li, Yong, 2020. "Distribution characteristics of salt-out particles in steam turbine stage," Energy, Elsevier, vol. 192(C).
    4. 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.
    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. Jisieike, Chiazor Faustina & Ishola, Niyi Babatunde & Latinwo, Lekan M. & Betiku, Eriola, 2023. "Crude rubber seed oil esterification using a solid catalyst: Optimization by hybrid adaptive neuro-fuzzy inference system and response surface methodology," Energy, Elsevier, vol. 263(PB).
    2. Zhang, Feng & Wang, Xinhe & Hou, Xinting & Han, Cheng & Wu, Mingying & Liu, Zhongbing, 2022. "Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system," Applied Energy, Elsevier, vol. 307(C).
    3. Chen, Xiaolong & Hu, Manjiang & Xu, Biao & Bian, Yougang & Qin, Hongmao, 2022. "Improved reservation-based method with controllable gap strategy for vehicle coordination at non-signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(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. Hamid, M. Fadzli & Idroas, M. Yusof & Mazlan, M. & Sa'ad, S. & Teoh, Y.H. & Che Mat, S. & Miskam, M.A. & Abdullah, M.K., 2022. "Methods for improving the in-cylinder airflow characteristics for sustainable transportation using fuels with higher viscosity: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    2. EL-Seesy, Ahmed I. & Hassan, Hamdy, 2019. "Investigation of the effect of adding graphene oxide, graphene nanoplatelet, and multiwalled carbon nanotube additives with n-butanol-Jatropha methyl ester on a diesel engine performance," Renewable Energy, Elsevier, vol. 132(C), pages 558-574.
    3. Muthukumar, K. & Kasiraman, G., 2024. "Utilization of fuel energy from single-use Low-density polyethylene plastic waste on CI engine with hydrogen enrichment – An experimental study," Energy, Elsevier, vol. 289(C).
    4. El-Seesy, Ahmed I. & Hassan, Hamdy & Ookawara, S., 2018. "Effects of graphene nanoplatelet addition to jatropha Biodiesel–Diesel mixture on the performance and emission characteristics of a diesel engine," Energy, Elsevier, vol. 147(C), pages 1129-1152.
    5. 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.
    6. Thangarasu, Vinoth & M, Angkayarkan Vinayakaselvi & Ramanathan, Anand, 2021. "Artificial neural network approach for parametric investigation of biodiesel synthesis using biocatalyst and engine characteristics of diesel engine fuelled with Aegle Marmelos Correa biodiesel," Energy, Elsevier, vol. 230(C).
    7. Chien, FengSheng & Ngo, Quang-Thanh & Hsu, Ching-Chi & Chau, Ka Yin & Mohsin, Muhammad, 2021. "Assessing the capacity of renewable power production for green energy system: a way forward towards zero carbon electrification," MPRA Paper 109667, University Library of Munich, Germany.
    8. Soudagar, Manzoore Elahi M. & Mujtaba, M.A. & Safaei, Mohammad Reza & Afzal, Asif & V, Dhana Raju & Ahmed, Waqar & Banapurmath, N.R. & Hossain, Nazia & Bashir, Shahid & Badruddin, Irfan Anjum & Goodar, 2021. "Effect of Sr@ZnO nanoparticles and Ricinus communis biodiesel-diesel fuel blends on modified CRDI diesel engine characteristics," Energy, Elsevier, vol. 215(PA).
    9. Kumar, R. Sathish & Sivakumar, S. & Joshuva, A. & Deenadayalan, G. & Vishnuvardhan, R., 2021. "Bio-fuel production from Martynia annua L. seeds using slow pyrolysis reactor and its effects on diesel engine performance, combustion and emission characteristics," Energy, Elsevier, vol. 217(C).
    10. Hu, Pengfei & Liang, Qi & Fan, Tiantian & Wang, Yanhong & Li, Qi, 2024. "Investigation of heterogeneous condensation flow characteristics in the steam turbine based on homogeneous-heterogeneous condensation coupling model using OpenFOAM," Energy, Elsevier, vol. 296(C).
    11. Cao, Yan & Ayed, Hamdi & Hashemian, Mehran & Issakhov, Alibek & Jarad, Fahd & Wae-hayee, Makatar, 2021. "Inducing swirl flow inside the pipes of flat-plate solar collector by using multiple nozzles for enhancing thermal performance," Renewable Energy, Elsevier, vol. 180(C), pages 1344-1357.
    12. Yew Heng Teoh & Heoy Geok How & Farooq Sher & Thanh Danh Le & Huu Tho Nguyen & Haseeb Yaqoob, 2021. "Fuel Injection Responses and Particulate Emissions of a CRDI Engine Fueled with Cocos nucifera Biodiesel," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    13. Channapattana, Shylesha V. & Campli, Srinidhi & Madhusudhan, A. & Notla, Srihari & Arkerimath, Rachayya & Tripathi, Mukesh Kumar, 2023. "Energy analysis of DI-CI engine with nickel oxide nanoparticle added azadirachta indica biofuel at different static injection timing based on exergy," Energy, Elsevier, vol. 267(C).
    14. Ebadinezhad, Behzad & Haghighi, Mohammad & Zeinalzadeh, Hossein, 2021. "Influence of carbon casting loading and ultrasound irradiation on catalytic design of Al–Si–P zeotype nanostructure for biofuel production," Renewable Energy, Elsevier, vol. 177(C), pages 290-307.
    15. S, Prabakaran & T, Mohanraj & A, Arumugam, 2021. "Azolla pinnata methyl ester production and process optimization using a novel heterogeneous catalyst," Renewable Energy, Elsevier, vol. 180(C), pages 353-371.
    16. Gad, M.S. & Abu-Elyazeed, O.S. & Mohamed, M.A. & Hashim, A.M., 2021. "Effect of oil blends derived from catalytic pyrolysis of waste cooking oil on diesel engine performance, emissions and combustion characteristics," Energy, Elsevier, vol. 223(C).
    17. 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).
    18. Erdoğan, Sinan & Balki, Mustafa Kemal & Aydın, Selman & Sayin, Cenk, 2019. "The best fuel selection with hybrid multiple-criteria decision making approaches in a CI engine fueled with their blends and pure biodiesels produced from different sources," Renewable Energy, Elsevier, vol. 134(C), pages 653-668.
    19. 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).
    20. Nayebzadeh, Hamed & Haghighi, Mohammad & Saghatoleslami, Naser & Alaei, Shervin & Yousefi, Sina, 2019. "Texture/phase evolution during plasma treatment of microwave-combustion synthesized KOH/Ca12Al14O33-C nanocatalyst for reusability enhancement in conversion of canola oil to biodiesel," Renewable Energy, Elsevier, vol. 139(C), pages 28-39.

    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:229:y:2021:i:c:s0360544221008707. 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.