Model-Based Technique for Air-Intake-System Control Using Thermo-Fluid Dynamic Simulation of SI Engines and Multiple-Objective Optimization

Fuel price crisis has caused people to demand a car that is having a low fuel consumption without compromising the engine performance. Designing a naturally aspirated engine which can enhance engine performance and fuel efficiency requires optimisation processes on air intake system components. Hence, this study intends to carry out the optimisation process on the air intake system and airbox geometry. The parameters that have high influence on the design of an airbox geometry was determined by using AVL Boost software which simulated the automobile engine. The optimisation of the parameters was done by using Design Expert which adopted the Box-Behnken analysis technique. The result that was obtained from the study are optimised diameter of inlet/snorkel, volume of airbox, diameter of throttle body and length of intake runner are 81.07 mm, 1.04 L, 44.63 mm and 425 mm, respectively. By using these parameters values, the maximum engine performance and minimum fuel consumption are 93.3732 Nm and 21.3695×10-4 kg/s, respectively. This study has fully accomplished its aim to determine the significant parameters that influenced the performance of airbox and optimised the parameters so that a high engine performance and fuel efficiency can be produced. The success of this study can contribute to a better design of an airbox.

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MODEL BASED AIR-FUEL RATIO CONTROL FOR PFI SI ENGINES FUELED WITH ETHANOL-GASOLINE BLENDS

Environmental Engineering and Management Journal ◽

10.30638/eemj.2015.311 ◽

2015 ◽

Vol 14 (12) ◽

pp. 2929-2937

Author(s):

Feng Wu ◽

Dongwei Yao ◽

Xinchen Ling

Keyword(s):

Fuel Ratio ◽

Model Based ◽

Si Engines

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A Computational Fluid Dynamic Simulation Study of a Smoke Extract System in an Underground Transit Station

Journal of Applied Fire Science ◽

10.2190/umbq-97dw-bfqc-qrku ◽

2000 ◽

Vol 9 (3) ◽

pp. 251-273

Author(s):

M. Y. L. Chew and S. H. Lim

Keyword(s):

Dynamic Simulation ◽

Computational Fluid Dynamic ◽

Simulation Study ◽

Fluid Dynamic ◽

Computational Fluid Dynamic Simulation ◽

Transit Station

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System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽

10.3390/w13050671 ◽

2021 ◽

Vol 13 (5) ◽

pp. 671

Author(s):

Xiaoying Zhou ◽

Feier Wang ◽

Kuan Huang ◽

Huichun Zhang ◽

Jie Yu ◽

...

Keyword(s):

Resource Management ◽

System Dynamics ◽

Water Resource ◽

Water Allocation ◽

Water Resource Management ◽

Water Shortage ◽

Multiple Objective ◽

Multiple Objective Optimization ◽

Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

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