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Article

Simulation-Based Study of NH3/H2-Dual Fueled HCCI Engine Performance: Effects of Blending Ratio, Equivalence Ratio, and Compression Ratio Using Detailed Chemical Kinetic Modeling †

Efficient Powertrain Solutions (EPS), School of Technology and Innovations, University of Vaasa, Wolffintie 34, FI65200 Vaasa, Finland
*
Authors to whom correspondence should be addressed.
This article is a revised and expanded version of a paper entitled “Investigating HCCI Engine Operating Parameters Under Simultaneous Dual Fueling of Ammonia and Hydrogen Based on Detailed Chemical Kinetics Modeling”, in Proceedings of the THIESEL 2024: Conference on Thermo-and Fluid Dynamics of Clean Propulsion Powerplants, Valencia, Spain, 10–13 September 2024.
Processes 2025, 13(7), 2049; https://doi.org/10.3390/pr13072049 (registering DOI)
Submission received: 29 May 2025 / Revised: 20 June 2025 / Accepted: 26 June 2025 / Published: 27 June 2025

Abstract

Challenges associated with the homogeneous charge combustion ignition (HCCI) concept include combustion phasing control and a narrow operating window. To address the HCCI engine developmental needs, chemical kinetic solvers have been recently included in the commercial engine simulation toolchains like GT-Suite v2024 upward. This study investigates the feasibility of ammonia (NH3) and hydrogen (H2) as dual fuels in homogenous charge compression ignition (HCCI) engines, leveraging chemical kinetics modeling via GT-Suite software v2024. A validated baseline model was adapted with NH3/H2 injectors and simulated across varying blending ratios (BR), compression ratios (CR), air–fuel equivalence ratios (ER), and engine speeds. Results reveal that adding 10% H2 to NH3 significantly improves ignition. Optimal performance was observed at a CR of 20 and a lean mixture, achieving higher indicated thermal efficiency (about 40%), while keeping the intrinsic advantages of zero-carbon fuel. However, NOx emissions increased with higher ER due to elevated combustion temperatures. The study emphasizes the trade-offs between efficiency and NOx emissions under tested conditions. Finally, despite the single-zone model limitations in neglecting thermal stratification, this study shows that kinetic modeling has great potential for effectively predicting trends in HCCI, thereby demonstrating the promise of NH3/H2 blends in HCCI engines for cleaner and efficient combustion, paving the way for advanced dual-fuel combustion concepts.
Keywords: ammonia; hydrogen; homogenous charge compression ignition; low-temperature combustion; fuel blending; chemical kinetics modeling; compression ratio; equivalence ratio; indicated efficiency; zero-carbon fuel ammonia; hydrogen; homogenous charge compression ignition; low-temperature combustion; fuel blending; chemical kinetics modeling; compression ratio; equivalence ratio; indicated efficiency; zero-carbon fuel

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MDPI and ACS Style

Balogun, F.; Vasudev, A.; Kakoee, A.; Sirviö, K.; Mikulski, M. Simulation-Based Study of NH3/H2-Dual Fueled HCCI Engine Performance: Effects of Blending Ratio, Equivalence Ratio, and Compression Ratio Using Detailed Chemical Kinetic Modeling. Processes 2025, 13, 2049. https://doi.org/10.3390/pr13072049

AMA Style

Balogun F, Vasudev A, Kakoee A, Sirviö K, Mikulski M. Simulation-Based Study of NH3/H2-Dual Fueled HCCI Engine Performance: Effects of Blending Ratio, Equivalence Ratio, and Compression Ratio Using Detailed Chemical Kinetic Modeling. Processes. 2025; 13(7):2049. https://doi.org/10.3390/pr13072049

Chicago/Turabian Style

Balogun, Fatimoh, Aneesh Vasudev, Alireza Kakoee, Katriina Sirviö, and Maciej Mikulski. 2025. "Simulation-Based Study of NH3/H2-Dual Fueled HCCI Engine Performance: Effects of Blending Ratio, Equivalence Ratio, and Compression Ratio Using Detailed Chemical Kinetic Modeling" Processes 13, no. 7: 2049. https://doi.org/10.3390/pr13072049

APA Style

Balogun, F., Vasudev, A., Kakoee, A., Sirviö, K., & Mikulski, M. (2025). Simulation-Based Study of NH3/H2-Dual Fueled HCCI Engine Performance: Effects of Blending Ratio, Equivalence Ratio, and Compression Ratio Using Detailed Chemical Kinetic Modeling. Processes, 13(7), 2049. https://doi.org/10.3390/pr13072049

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