Numerical study of the performance and NOx emission of a diesel-methanol dual-fuel engine using multi-objective Pareto optimization

Sangjun Park, Jungkeun Cho, Jungsoo Park, Soonho Song

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

The effect of methanol addition on the performance and NOxemission of a diesel engine was investigated using one-dimensional engine cycle simulation. The methanol component was injected into the intake manifold of a diesel engine at a certain energy fraction (0, 5, 10, or 15%) of the fuel. The in-cylinder pressure and temperature decreased as the methanol content increased due to the lower cetane number and lower heating value of methanol. The resulting decrease in the combustion efficiency lowered the NOxemission and brake thermal efficiency of the engine, and consequently deteriorated the brake specific fuel consumption (BSFC). The BSFC decreased but the NOxemission increased with advanced injection timing under dual-fuel operating conditions. Response surface plots of the BSFC and NOxemission as a function of the injection timing and exhaust gas recirculation (EGR) rate were obtained using a design of experiment method. The optimal Pareto fronts that improved both the BSFC and NOxemission were found. The EGR rate had a greater influence on the optimal Pareto front than the injection timing, which suggested that design parameters such as the injection timing and EGR rate could be used to control the performance and emission under various duel-fuel conditions.

Original languageEnglish
Pages (from-to)272-283
Number of pages12
JournalEnergy
Volume124
DOIs
Publication statusPublished - 2017

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Numerical study of the performance and NO<sub>x</sub> emission of a diesel-methanol dual-fuel engine using multi-objective Pareto optimization'. Together they form a unique fingerprint.

Cite this