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The Impact of Hydrogen on a Stationary Gasoline-Based Engine through Multi-Response Optimization: A Desirability Function Approach

Author

Listed:
  • Jesus M. Padilla-Atondo

    (Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 22860, Mexico)

  • Jorge Limon-Romero

    (Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 22860, Mexico)

  • Armando Perez-Sanchez

    (Facultad de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Tijuana 22260, Mexico)

  • Diego Tlapa

    (Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 22860, Mexico)

  • Yolanda Baez-Lopez

    (Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 22860, Mexico)

  • Cesar Puente

    (Facultad de Ingeniería, Universidad Autónoma de San Luis Potosí, Dr. Manuel Nava 8, Zona Universitaria Poniente, San Luis Potosí 78290, Mexico)

  • Sinue Ontiveros

    (Facultad de Ciencias de la Ingeniería, Administrativas y Sociales, Universidad Autónoma de Baja California, Tecate 21460, Mexico)

Abstract

Several studies have been conducted on alternatives to fossil fuels in internal combustion engines. In this work, we present an analysis of the optimization of a spark ignition engine (SIE), which operates with a mix of gasoline and hydrogen. Thus, this study tries to enrich the literature about the effect of using hydrogen in SIEs taking into account their performance and environmental issues. The experiments were conducted considering three independent variables: revolutions, the load produced by a dynamometer, and an electrolyte concentration (EC) to produce hydrogen. The effect of these factors was investigated on three response variables that are related to the performance of the engine: torque, hydrocarbon emissions (HC), and power. To achieve this optimization, we employed the design of experiments, the seemingly unrelated regression (SUR), and the desirability function. Once the models were fitted by SUR, the individual desirabilities were calculated and later aggregated into an overall desirability (D), which was optimized using the generalized reduced gradient (GRG) method. The results showed that, with a revolution of 2400 revolutions per minute (RPM), a load of 10 liters per minute (LPM), and an EC of 80 mL/gal, a reduction of approximately 51% of HC emissions was achieved, while the other two response variables demonstrated good performance.

Suggested Citation

  • Jesus M. Padilla-Atondo & Jorge Limon-Romero & Armando Perez-Sanchez & Diego Tlapa & Yolanda Baez-Lopez & Cesar Puente & Sinue Ontiveros, 2021. "The Impact of Hydrogen on a Stationary Gasoline-Based Engine through Multi-Response Optimization: A Desirability Function Approach," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1385-:d:489060
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    References listed on IDEAS

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    Cited by:

    1. Ming-Hsien Hsueh & Chao-Jung Lai & Meng-Chang Hsieh & Shi-Hao Wang & Chia-Hsin Hsieh & Chieh-Yu Pan & Wen-Chen Huang, 2021. "Effect of Water Vapor Injection on the Performance and Emissions Characteristics of a Spark-Ignition Engine," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    2. Md. Rezaul Karim & Juairiya Binte Tariq & Shah Murtoza Morshed & Sabbir Hossain Shawon & Abir Hasan & Chander Prakash & Sunpreet Singh & Raman Kumar & Yadaiah Nirsanametla & Catalin I. Pruncu, 2021. "Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool," Sustainability, MDPI, vol. 13(13), pages 1-22, June.

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