IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v255y2022ics0360544222014025.html
   My bibliography  Save this article

Study on interactive effects of CRDi engine operating parameters through RSM based multi-objective optimization technique for biofuel application

Author

Listed:
  • Saiteja, Pajarla
  • Ashok, B.

Abstract

The current research focuses on the optimization of D+LPO (20% waste-based lemon peel oil and 80% diesel) fueled Common Rail Direct Injection (CRDi) engine fuel injection parameters for the optimum performance and emission characteristics. The foremost influential fuel injection parameters such as Injection Pressure (IP), Dwell Time (DT), Pilot Mass (PM) and Pilot Timing (PT) are considered to enhance the performance and decrease the emissions. Engine output responses like Brake Thermal Efficiency (BTE), Brake Specific Fuel Consumption (BSFC), Hydrocarbons (HC), Carbon monoxide (CO), nitrogen oxides (NOx) and smoke emissions are modeled by using Response Surface Methodology (RSM). Analysis of Variance (ANOVA) disclosed that all the developed models are statistically significant with an R2 value of 0.9735 for BTE, 0.9719 for BSFC, 0.8517 for CO, 0.956 for HC, 0.9282 for NOx and 0.927 for smoke. Multi-objective optimization is performed using the desirability function approach to minimize the BSFC, HC, CO, NOx and smoke with maximum BTE. The D+LPO blend at IP 700 bar, PM 20%, PT 27°bTDC and 12° DT was predicted to be an optimum operating condition for this particular engine. Confirmatory tests were used to validate the predicted combination, and the prediction error was determined to be less than 5%.

Suggested Citation

  • Saiteja, Pajarla & Ashok, B., 2022. "Study on interactive effects of CRDi engine operating parameters through RSM based multi-objective optimization technique for biofuel application," Energy, Elsevier, vol. 255(C).
  • Handle: RePEc:eee:energy:v:255:y:2022:i:c:s0360544222014025
    DOI: 10.1016/j.energy.2022.124499
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222014025
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.124499?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. Kumar, A. Naresh & Kishore, P.S. & Raju, K. Brahma & Ashok, B. & Vignesh, R. & Jeevanantham, A.K. & Nanthagopal, K. & Tamilvanan, A., 2020. "Decanol proportional effect prediction model as additive in palm biodiesel using ANN and RSM technique for diesel engine," Energy, Elsevier, vol. 213(C).
    2. 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.
    3. Sakthivel, R. & Ramesh, K. & Joseph John Marshal, S. & Sadasivuni, Kishor Kumar, 2019. "Prediction of performance and emission characteristics of diesel engine fuelled with waste biomass pyrolysis oil using response surface methodology," Renewable Energy, Elsevier, vol. 136(C), pages 91-103.
    4. Gnanasekaran, Sakthivel & Saravanan, N. & Ilangkumaran, M., 2016. "Influence of injection timing on performance, emission and combustion characteristics of a DI diesel engine running on fish oil biodiesel," Energy, Elsevier, vol. 116(P1), pages 1218-1229.
    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. Jena, Priyaranjan & Tirkey, Jeewan Vachan, 2024. "Power and efficiency improvement of SI engine fueled with boosted producer gas-methane blends and LIVC-miller cycle strategy: Thermodynamic and optimization studies," Energy, Elsevier, vol. 289(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. Kumar, Thanikasalam & Mohsin, Rahmat & Majid, Zulkifli Abd. & Ghafir, Mohammad Fahmi Abdul & Wash, Ananth Manickam, 2020. "Experimental study of the anti-knock efficiency of high-octane fuels in spark ignited aircraft engine using response surface methodology," Applied Energy, Elsevier, vol. 259(C).
    2. Manimaran, Rajayokkiam & Mohanraj, Thangavelu & Venkatesan, Moorthy & Ganesan, Rajamohan & Balasubramanian, Dhinesh, 2022. "A computational technique for prediction and optimization of VCR engine performance and emission parameters fuelled with Trichosanthes cucumerina biodiesel using RSM with desirability function approac," Energy, Elsevier, vol. 254(PB).
    3. 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).
    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. 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).
    6. Varuvel, Edwin Geo & Seetharaman, Sathyanarayanan & Joseph Shobana Bai, Femilda Josephin & Devarajan, Yuvarajan & Balasubramanian, Dhinesh, 2023. "Development of artificial neural network and response surface methodology model to optimize the engine parameters of rubber seed oil – Hydrogen on PCCI operation," Energy, Elsevier, vol. 283(C).
    7. Uslu, Samet & Simsek, Suleyman & Simsek, Hatice, 2023. "RSM modeling of different amounts of nano-TiO2 supplementation to a diesel engine running with hemp seed oil biodiesel/diesel fuel blends," Energy, Elsevier, vol. 266(C).
    8. Babu, D. & Karvembu, R. & Anand, R., 2018. "Impact of split injection strategy on combustion, performance and emissions characteristics of biodiesel fuelled common rail direct injection assisted diesel engine," Energy, Elsevier, vol. 165(PB), pages 577-592.
    9. Pang, Wancheng & Hou, Dejia & Ke, Jingwen & Chen, Jiangshan & Holtzapple, Mark T. & Tomberlin, Jeffery K. & Chen, Huanchun & Zhang, Jibin & Li, Qing, 2020. "Production of biodiesel from CO2 and organic wastes by fermentation and black soldier fly," Renewable Energy, Elsevier, vol. 149(C), pages 1174-1181.
    10. Perumal, Varatharaju & Ilangkumaran, M., 2018. "Water emulsified hybrid pongamia biodiesel as a modified fuel for the experimental analysis of performance, combustion and emission characteristics of a direct injection diesel engine," Renewable Energy, Elsevier, vol. 121(C), pages 623-631.
    11. Ramalingam, Senthil & Rajendran, Silambarasan & Ganesan, Pranesh & Govindasamy, Mohan, 2018. "Effect of operating parameters and antioxidant additives with biodiesels to improve the performance and reducing the emissions in a compression ignition engine – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 775-788.
    12. Ashok, B. & Usman, Kaisan Muhammad & Vignesh, R. & Umar, U.A., 2022. "Model-based injector control map development to improve CRDi engine performance and emissions for eucalyptus biofuel," Energy, Elsevier, vol. 246(C).
    13. Sergejus Lebedevas & Laurencas Raslavičius, 2021. "Prognostic Assessment of the Performance Parameters for the Industrial Diesel Engines Operated with Microalgae Oil," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    14. Karishma, Shaik Mullan & Rajak, Upendra & Naik, B. Kiran & Dasore, Abhishek & Konijeti, Ramakrishna, 2022. "Performance and emission characteristics assessment of compression ignition engine fuelled with the blends of novel antioxidant catechol-daok biodiesel," Energy, Elsevier, vol. 245(C).
    15. Elkelawy, Medhat & Etaiw, Safaa El-din H. & Alm-Eldin Bastawissi, Hagar & Ayad, Mohamed I. & Radwan, Ahmed Mohamed & Dawood, Mohamed M., 2021. "Diesel/ biodiesel /silver thiocyanate nanoparticles/hydrogen peroxide blends as new fuel for enhancement of performance, combustion, and Emission characteristics of a diesel engine," Energy, Elsevier, vol. 216(C).
    16. Chiong, Meng-Choung & Kang, Hooi-Siang & Shaharuddin, Nik Mohd Ridzuan & Mat, Shabudin & Quen, Lee Kee & Ten, Ki-Hong & Ong, Muk Chen, 2021. "Challenges and opportunities of marine propulsion with alternative fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    17. Dong Lin Loo & Yew Heng Teoh & Heoy Geok How & Jun Sheng Teh & Liviu Catalin Andrei & Slađana Starčević & Farooq Sher, 2021. "Applications Characteristics of Different Biodiesel Blends in Modern Vehicles Engines: A Review," Sustainability, MDPI, vol. 13(17), pages 1-31, August.
    18. Juan García-Cuadrado & Andrea Conserva & Juan Aranda & David Zambrana-Vasquez & Tatiana García-Armingol & Gema Millán, 2022. "Response Surface Method to Calculate Energy Savings Associated with Thermal Comfort Improvement in Buildings," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    19. Marco Bietresato & Carlo Caligiuri & Anna Bolla & Massimiliano Renzi & Fabrizio Mazzetto, 2019. "Proposal of a Predictive Mixed Experimental- Numerical Approach for Assessing the Performance of Farm Tractor Engines Fuelled with Diesel- Biodiesel-Bioethanol Blends," Energies, MDPI, vol. 12(12), pages 1-45, June.
    20. Asgari, Behrad & Amani, Ehsan, 2017. "A multi-objective CFD optimization of liquid fuel spray injection in dry-low-emission gas-turbine combustors," Applied Energy, Elsevier, vol. 203(C), pages 696-710.

    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:255:y:2022:i:c:s0360544222014025. 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.