Multiobjective Optimization of Hydrogen‐Assisted Calophyllum inophyllum Biodiesel Operation in a Compression Ignition Engine.

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Title: Multiobjective Optimization of Hydrogen‐Assisted Calophyllum inophyllum Biodiesel Operation in a Compression Ignition Engine.
Authors: Naga Kumar, C.1 (AUTHOR), Dayadi, Nageswara Rao2 (AUTHOR), Babu, J. M.3 (AUTHOR), Yarram, Srinivasa Reddy4 (AUTHOR), Chintalapudi, Ravikiran5 (AUTHOR), Pappula, Bridjesh6 (AUTHOR) epappub@unisa.ac.za
Source: Energy Science & Engineering. Jun2026, Vol. 14 Issue 6, p2897-2929. 33p.
Subject Terms: *Multi-objective optimization, *Calophyllum inophyllum, *Multiple criteria decision making, *Automobile engine performance, *Greenhouse gas mitigation, *Biodiesel fuels, *Diesel motors
Abstract: This study investigates operating conditions for a diesel engine running in tri‐fuel mode with diesel, Calophyllum inophyllum biodiesel (0–30 vol%), and inducted hydrogen (0–15 L·min−1) over 0%–100% load (20% steps), yielding 96 steady‐state points. Brake thermal efficiency (BTE), brake‐specific fuel consumption, exhaust gas temperature, and regulated emissions (NOx, HC, CO, CO2, and smoke) were measured. To avoid dependence on a single, fixed objective weighting, Bootstrapped Empirical Multiobjective Ranking and Selection (BEMORS) was applied using percentile scaling, Pareto screening, and Dirichlet preference weights under baseline, NOx‐biased, and NOx, along with smoke‐biased scenarios. Stochastic Multicriteria Acceptability Analysis benchmarking was used to check ranking consistency. Hydrogen enrichment increased BTE and decreased CO, HC, and smoke across loads, while tending to increase NOx. Increasing biodiesel fraction has also decreased smoke, CO, and HC, but increased fuel consumption due to lower heating value. BEMORS identified 40% load with high hydrogen induction and low biodiesel fraction as the compromise across preference scenarios, whereas high‐load hydrogen addition scenarios were attractive when smoke scenarios dominate priorities. Combining tri‐fuel experiments with preference‐uncertain selection provides practical and implementable operating corridors that are competitive when regulatory emphasis shifts and quantifies the suitability of recommendations within the tested steady‐state conditions. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Data: Multiobjective Optimization of Hydrogen‐Assisted Calophyllum inophyllum Biodiesel Operation in a Compression Ignition Engine.
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  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jun2026, Vol. 14 Issue 6, p2897-2929. 33p.
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  Data: *<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Calophyllum+inophyllum%22">Calophyllum inophyllum</searchLink><br />*<searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Automobile+engine+performance%22">Automobile engine performance</searchLink><br />*<searchLink fieldCode="DE" term="%22Greenhouse+gas+mitigation%22">Greenhouse gas mitigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Biodiesel+fuels%22">Biodiesel fuels</searchLink><br />*<searchLink fieldCode="DE" term="%22Diesel+motors%22">Diesel motors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates operating conditions for a diesel engine running in tri‐fuel mode with diesel, Calophyllum inophyllum biodiesel (0–30 vol%), and inducted hydrogen (0–15 L·min−1) over 0%–100% load (20% steps), yielding 96 steady‐state points. Brake thermal efficiency (BTE), brake‐specific fuel consumption, exhaust gas temperature, and regulated emissions (NOx, HC, CO, CO2, and smoke) were measured. To avoid dependence on a single, fixed objective weighting, Bootstrapped Empirical Multiobjective Ranking and Selection (BEMORS) was applied using percentile scaling, Pareto screening, and Dirichlet preference weights under baseline, NOx‐biased, and NOx, along with smoke‐biased scenarios. Stochastic Multicriteria Acceptability Analysis benchmarking was used to check ranking consistency. Hydrogen enrichment increased BTE and decreased CO, HC, and smoke across loads, while tending to increase NOx. Increasing biodiesel fraction has also decreased smoke, CO, and HC, but increased fuel consumption due to lower heating value. BEMORS identified 40% load with high hydrogen induction and low biodiesel fraction as the compromise across preference scenarios, whereas high‐load hydrogen addition scenarios were attractive when smoke scenarios dominate priorities. Combining tri‐fuel experiments with preference‐uncertain selection provides practical and implementable operating corridors that are competitive when regulatory emphasis shifts and quantifies the suitability of recommendations within the tested steady‐state conditions. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/ese3.70511
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 33
        StartPage: 2897
    Subjects:
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Calophyllum inophyllum
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Automobile engine performance
        Type: general
      – SubjectFull: Greenhouse gas mitigation
        Type: general
      – SubjectFull: Biodiesel fuels
        Type: general
      – SubjectFull: Diesel motors
        Type: general
    Titles:
      – TitleFull: Multiobjective Optimization of Hydrogen‐Assisted Calophyllum inophyllum Biodiesel Operation in a Compression Ignition Engine.
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            NameFull: Naga Kumar, C.
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            NameFull: Dayadi, Nageswara Rao
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            NameFull: Babu, J. M.
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            NameFull: Yarram, Srinivasa Reddy
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            NameFull: Chintalapudi, Ravikiran
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            NameFull: Pappula, Bridjesh
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 20500505
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              Value: 14
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              Value: 6
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            – TitleFull: Energy Science & Engineering
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