Integrated Analysis of NOx Reduction and Performance Enhancement in HYUNDAI-HiMSEN 7H35DFP Dual-Fuel Marine Engine

This comprehensive study presents an integrated analysis of NOx reduction strategies and operational optimization for the HYUNDAI-HiMSEN 7H35DFP dual-fuel marine engine. The optimization scope focuses on selective catalytic reduction control strategies and operational decision-making (fuel mode selection, load management) rather than engine hardware modifications, ensuring practical applicability within certified marine engine operational envelopes. The research employs a multifaceted approach combining experimental investigation, computational fluid dynamics (CFD) modeling, and advanced control algorithms to address the stringent IMO Tier III emission standards. The 3500 kW, 7-cylinder engine achieves IMO Tier III compliance through dual pathways: (1) gas mode operation meeting the 2.4 g/kWh limit inherently with measured emissions of 1.41&ndash:2.29 g/kWh across 25&ndash:100% load without aftertreatment, and (2) diesel mode achieving compliance via SCR aftertreatment, reducing Tier II baseline emissions (7.68&ndash:10.71 g/kWh) by 75&ndash:82% to final values of 1.60&ndash:1.96 g/kWh. The research quantifies NOx reduction mechanisms separately for each operating mode and establishes optimal operational strategies for mode selection. A MATLAB v2025a-based SCR optimization model successfully predicts optimal urea injection rates, achieving &gt:75% NOx reduction efficiency across all operating conditions. Multivariate analysis using principal component analysis identifies the following three primary factors explaining 89.3% of dataset variability: combustion intensity (45.2%), fuel mixing characteristics (28.7%), and thermal management (15.4%). CFD analysis reveals that gas mode combustion produces more uniform temperature distributions (peak ~2000 K) compared to diesel operation (&gt:2200 K), directly explaining NOx generation differences. The developed digital twin framework with machine learning algorithms achieves 94.2% accuracy in SCR catalyst degradation prediction and 91.8% in fuel injection system performance prediction. Waste heat recovery analysis indicates 25&ndash:30% of fuel energy resides in exhaust gases, with theoretical energy recovery potential of 8.5&ndash:15.3%. This integrated approach validates dual-fuel technology&rsquo:s capability to meet current and future maritime environmental regulations while maintaining operational flexibility.