scholarly journals Research on Energy-Saving Operation Strategy for Multiple Trains on the Urban Subway Line

Energies ◽  
2017 ◽  
Vol 10 (12) ◽  
pp. 2156 ◽  
Author(s):  
◽  
Author(s):  
Xinwei Zhou ◽  
Junqi Yu ◽  
Wanhu Zhang ◽  
Anjun Zhao ◽  
Min Zhou

Reasonable distribution of cooling load between chiller and ice tank is the key to realize the economical and energy-saving operation of ice-storage air-conditioning (ISAC) system. A multi-objective optimization model based on improved firefly algorithm (IFA) was established in this study to fully exploit the energy-saving potential and economic benefit of the ISAC system. The proposed model took the partial load rate of each chiller and the cooling ratio of the ice tank as optimization variables, and the lowest energy consumption loss rate and the lowest operating cost of the ISAC system were calculated. Chaotic logic self-mapping was used to initialize population to avoid falling into local optimum, and Cauchy mutation was used to increase the population’s diversity to improve the algorithm’s global search ability. The experimental results show that compared with the operation strategy based on constant proportion, particle swarm optimization (PSO) algorithm, and firefly algorithm (FA), the optimal operation strategy based on IFA can achieve more significant energy-saving and economic benefits. Meanwhile, the convergence accuracy and stability of the algorithm are significantly improved. Practical application: The optimized operation strategy of the ice-storage air-conditioning system can reduce energy loss and operating costs. The traditional operation strategies have the problems of low optimization precision and poor optimization effect. Therefore, this study presents an optimal operation strategy based on IFA. The convergence accuracy and stability of the algorithm are increased after the algorithm is improved. The operation strategy can get the maximum energy-saving effect and economic benefit of the ISAC system.


2019 ◽  
Vol 111 ◽  
pp. 03006
Author(s):  
Yue Zhang ◽  
Xiaofeng Li ◽  
Bin Wang ◽  
Zheren Song

This paper mainly studied the operation strategy for subway VAC system during transition seasons. Two modes including WF-AC (Whole Fresh air- Air Conditioning) mode and B/E-V (Back/Exhausted fan-Ventilation) mode were selected based on energy saving principle. In order to decide the optimal operation mode, the calculation method of “switching temperature” was proposed. The main influencing factors of the switching condition include indoor cooling load, COP of the chilled-water-system, temperature difference of the supply air, efficiency of fan and the resistance of air duct. Also, the transfer temperature diagram is provided based on proposed calculation method, which is suitable for engineering use. The aim of this study is to regulate the operation mode and to promote energy saving in subway station.


2014 ◽  
Vol 672-674 ◽  
pp. 522-528
Author(s):  
Bin Sun ◽  
Hao Wang ◽  
Xian Wu ◽  
Ying Feng Ma ◽  
Yuan Zhao ◽  
...  

For the problems that operation energy consumption is large, lack of energy saving strategy existed in the speed skating ice rink in Harbin Ice Training Base, field investigation is conducted and the data measured schemes are put forward including the temperature distribution above ice surface in vertical direction, the indoor relative humidity, the refrigeration units power consumption, the inlet and outlet temperature of cooling water etc. Then select the data of general training days and typical match days for comparative analysis. The results show that the running cost of refrigeration units represents a significant proportion of the total running cost; lack of low energy consumption dehumidification method to solve the problem that fog above the ice surface; in winter, using the outdoor cold source can reduce energy consumption of the cooling tower. Based on them, energy saving operation strategy based on outdoor cold source and using the return secondary refrigerant from the ice rink for cooling dehumidification are put forward.


2020 ◽  
Vol 44 (3) ◽  
pp. 161-178
Author(s):  
Enhua Luo ◽  
Wei Zhang ◽  
Ruixin Zhang ◽  
Yu Liu ◽  
Xiaoming Liu ◽  
...  

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