Shuai Hao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Shuai Hao has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Jia-Jun Wang
School of Automation, Hangzhou Dianzi University, Hangzhou, China
1 shared publication - Junliang Lu
Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China
1 shared publication - Wenjie Zhou
Institute of Energy Utilization and Automation Hangzhou Dianzi University Hangzhou China
1 shared publication
Latest Publications
- Open Access
The Optimal Pumping Power under Different Ice Slurry Concentrations Using Evolutionary Strategy Algorithms
A suitable ice slurry fluid with a suitable ice concentration ratio can save operational costs. The design of the optimal ice slurry concentration focuses on finding an evolution strategy, which can further minimize the power consumption of the pump. A theoretical model was established to simulate the effect of different ice concentrations and flow rates on the performance of the pump. The data obtained were fitted by curve-fitting function. The process was modeled in the MATLAB evolutionary strategy algorithm to obtain the configuration scheme of the ice concentration and flow under different refrigeration capacities. The simulation results showed that when the required cooling capacity was 13.889 kWh, ice concentration was set to 19.68%, and flow rate was set to 2.1075 × 10−4 m3/s, the power consumption could be reduced by 23%.
Open AccessThe Optimal Pumping Power under Different Ice Slurry Concentrations Using Evolutionary Strategy Algorithms
A suitable ice slurry fluid with a suitable ice concentration ratio can save operational costs. The design of the optimal ice slurry concentration focuses on finding an evolution strategy, which can further minimize the power consumption of the pump. A theoretical model was established to simulate the effect of different ice concentrations and flow rates on the performance of the pump. The data obtained were fitted by curve-fitting function. The process was modeled in the MATLAB evolutionary strategy algorithm to obtain the configuration scheme of the ice concentration and flow under different refrigeration capacities. The simulation results showed that when the required cooling capacity was 13.889 kWh, ice concentration was set to 19.68%, and flow rate was set to 2.1075 × 10−4 m3/s, the power consumption could be reduced by 23%.