Surrogate-Assisted Compressor Geometry Optimization for Fuel Economy and Emissions Trade-Off in a Turbocharged Diesel Engine.
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| Title: | Surrogate-Assisted Compressor Geometry Optimization for Fuel Economy and Emissions Trade-Off in a Turbocharged Diesel Engine. |
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| Authors: | Wang, Penghui1 (AUTHOR), Tian, Jing1,2 (AUTHOR) jingtian@jlu.edu.cn, Yin, Yuting1,2 (AUTHOR), Wang, Hui2 (AUTHOR) |
| Source: | Energies (19961073). Jul2026, Vol. 19 Issue 14, p3306. 29p. |
| Subject Terms: | *Surrogate-based optimization, *Multi-objective optimization, *Compressor performance, *Metaheuristic algorithms, *Fuel industry, *Diesel motors |
| Abstract: | Turbocharger compressor geometry affects the pressure ratio, flow range, and efficiency distribution of the compressor map, but the influence pathway from compressor geometry to engine fuel economy and emissions trade-off has not been sufficiently quantified. This study develops a surrogate-assisted multi-objective optimization framework that couples compressor and engine models. A calibrated one-dimensional compressor model generated a geometry-specific map for each design, which was imported into a validated one-dimensional engine model to calculate brake-specific fuel consumption and brake-specific NOx emissions at four loads. The results for the four loads were aggregated into weighted brake-specific fuel consumption (BSFCw) and weighted brake-specific NOx emissions (BSNOxw). Extreme gradient boosting (XGBoost) surrogate models are trained to predict these weighted responses. The non-dominated sorting genetic algorithm II (NSGA-II) identified Pareto-optimal compressor geometries. Representative solutions were re-evaluated using the original coupled models. The Pareto front reveals a clear trade-off between BSFCw and BSNOxw, with the minimum-BSFCw and minimum-BSNOxw solutions defining the respective lower bounds within the investigated design space. For the selected trade-off solution, BSNOxw was 1.18 g/(kW·h) lower than the baseline value, while BSFCw was 0.82 g/(kW·h) higher. Compressor geometry alters the distribution of engine operating points on the compressor map under different loads, thereby affecting the trade-off between fuel economy and NOx emissions. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | Turbocharger compressor geometry affects the pressure ratio, flow range, and efficiency distribution of the compressor map, but the influence pathway from compressor geometry to engine fuel economy and emissions trade-off has not been sufficiently quantified. This study develops a surrogate-assisted multi-objective optimization framework that couples compressor and engine models. A calibrated one-dimensional compressor model generated a geometry-specific map for each design, which was imported into a validated one-dimensional engine model to calculate brake-specific fuel consumption and brake-specific NOx emissions at four loads. The results for the four loads were aggregated into weighted brake-specific fuel consumption (BSFCw) and weighted brake-specific NOx emissions (BSNOxw). Extreme gradient boosting (XGBoost) surrogate models are trained to predict these weighted responses. The non-dominated sorting genetic algorithm II (NSGA-II) identified Pareto-optimal compressor geometries. Representative solutions were re-evaluated using the original coupled models. The Pareto front reveals a clear trade-off between BSFCw and BSNOxw, with the minimum-BSFCw and minimum-BSNOxw solutions defining the respective lower bounds within the investigated design space. For the selected trade-off solution, BSNOxw was 1.18 g/(kW·h) lower than the baseline value, while BSFCw was 0.82 g/(kW·h) higher. Compressor geometry alters the distribution of engine operating points on the compressor map under different loads, thereby affecting the trade-off between fuel economy and NOx emissions. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 19961073 |
| DOI: | 10.3390/en19143306 |
