4.7 Article

The effects of the air-fuel ratio on a stationary diesel engine under dual-fuel conditions and multi-objective optimization

期刊

ENERGY
卷 187, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.115884

关键词

Air-fuel ratio; Combustion characteristics; Diesel; Dual fuel; Natural gas; Pareto multi-objective optimization

资金

  1. Power Generation & Electricity Delivery Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) [20131010176B]
  2. Ministry of Trade, Industry& Energy, Republic of Korea [20131010176B]

向作者/读者索取更多资源

The fundamental combustion characteristics and engine performance of a dual-fuel engine, fueled with diesel and natural gas, were investigated using a commercial 1D simulation program (GT-Power). Furthermore, the effects of air-fuel ratio under dual-fuel combustion conditions were studied, and optimized design points that minimize brake-specific fuel consumption (BSFC) and nitrogen oxides (NOX) emissions simultaneously were determined using a multi-objective Pareto optimization method. The engine model was validated based on experimental results and previous work under various engine loads. The thermal efficiency of the engine, which was modified from a diesel to a dual-fuel engine, showed a decreasing tendency as the natural gas substitution ratio (NSR) increased due to changes in the combustion characteristics. The decline in thermal efficiency in dual-fuel combustion could be improved somewhat by optimizing the injection strategy. Under dual-fuel combustion conditions, an optimum air-fuel ratio value for BSFC could be determined, especially for higher NSR conditions. However, NOX emissions showed a tendency to increase with increasing air-fuel ratio. The relationship between the trends was more than a simple tradeoff, so multi-objective Pareto optimization was conducted to minimize both BSFC and NOX emissions, with start of injection timing and air-fuel ratio as variables. Ultimately, optimal design points were determined. (C) 2019 Elsevier Ltd. All rights reserved

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