Multi-objective optimization investigation of natural gas engine operating parameters using model-based methodologies

DOI

10.2991/icreet-16.2017.32How to use a DOI?

Keywords

Internal-combustion engine; Natural gas; Parameter optimization; Approximate model; Global optimization

Abstract

In order to improve the comprehensive performance of a heavy-duty natural gas engine, the paper developed a strategy to efficiently optimize operating parameters. An approximate mathematical model, which the input control variables were air-fuel ratio and ignition advance angle while the output response were a set of eight core indicators of characterizing the whole performance of engine, was established using response surface method and further validated by test results. A multi-objective and multi-variable optimization function was built with a compromise consideration between the power, economy, emission and thermal load of the engine. The optimal operating parameters under all conditions were obtained by the global optimization with multi-island genetic algorithm. The comparison results showed that, with optimal operating parameters, the engine maintained its original power, but with the drop in gas consumption rate (1.11%), maximum combustion temperature (1.46%) and NOx emission (97.45%).

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yinjie Ma
AU  - Ronghua Huang
AU  - Wei Cheng
PY  - 2017/03
DA  - 2017/03
TI  - Multi-objective optimization investigation of natural gas engine operating parameters using model-based methodologies
BT  - Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
PB  - Atlantis Press
SP  - 186
EP  - 191
SN  - 2352-5401
UR  - https://doi.org/10.2991/icreet-16.2017.32
DO  - 10.2991/icreet-16.2017.32
ID  - Ma2017/03
ER  -