Optimal Flow Distribution Among Multiple Channels with Unknown Capacities

Author(s):  
Richard Karp ◽  
Till Nierhoff ◽  
Till Tantau
2005 ◽  
Vol 19 ◽  
pp. 225-231
Author(s):  
Richard Karp ◽  
Till Nierhoff ◽  
Till Tantau

Author(s):  
Giwon Lee ◽  
Myeongsu Kim ◽  
Sukjin Choo ◽  
Sangheon Pack ◽  
Younghwa Kim

Author(s):  
Peiwen Li ◽  
Devasubramaniam Coopamah ◽  
Nikesh Dhar

The paper presents the results of investigation about flow distribution and uniformity of flow fields in three types of flow distributors with novel design. The flow distributors have a number of bifurcations to split one flow into a number of sub-streams of equal flow rates on a bipolar plate which may accommodate the electrochemical reaction in a fuel cell. There are three types of bifurcation structures studied, which are the 90° tee-type, rounded-type, and slanted-type. Numerical analysis and experimental test was conducted to investigate the flow uniformity in a multiple channels that come from several stages of bifurcations. Pressure drops of the whole flow field from inlet to outlet of the bipolar plates were also studied in the numerical simulation. Overall evaluation of flow uniformity and pressure drops in the three designs was also conducted.


Entropy ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 446 ◽  
Author(s):  
Wei Zhou ◽  
Jin Chen ◽  
Bingqing Ding

Author(s):  
Myeongsu Kim ◽  
Giwon Lee ◽  
Sukjin Choo ◽  
Sangheon Pack ◽  
Younghwa Kim

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3098
Author(s):  
Jimmy H. Gutiérrez-Bahamondes ◽  
Daniel Mora-Meliá ◽  
Pedro L. Iglesias-Rey ◽  
F. Javier Martínez-Solano ◽  
Yamisleydi Salgueiro

The investment and operating costs of pumping stations in drinking water distribution networks are some of the highest public costs in urban sectors. Generally, these systems are designed based on extreme scenarios. However, in periods of normal operation, extra energy is produced, thereby generating excess costs. To avoid this problem, this work presents a new methodology for the design of pumping stations. The proposed technique is based on the use of a setpoint curve to optimize the operating and investment costs of a station simultaneously. According to this purpose, a novel mathematical optimization model is developed. The solution output by the model includes the selection of the pumps, the dimensions of pipelines, and the optimal flow distribution among all water sources for a given network. To demonstrate the advantages of using this technique, a case study network is presented. A pseudo-genetic algorithm (PGA) is implemented to resolve the optimization model. Finally, the obtained results show that it is possible to determine the full design and operating conditions required to achieve the lowest cost in a multiple pump station network.


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