scholarly journals Energy storage by eutectic materials for the air conditioning of an electrical vehicle

2015 ◽  
Author(s):  
P. Trivero ◽  
W. Biamino ◽  
E. Borgo ◽  
I. M. Ottino ◽  
L. Pezzi ◽  
...  
Keyword(s):  
Energy Storage ◽  
Air Conditioning ◽  
Eutectic Materials ◽  
Electrical Vehicle

scholarly journals Cooperative Operation Schedules of Energy Storage System and Demand Response Resources Considering Urban Railway Load Characteristic under a Time-of-Use Tariff

2021 ◽  
Vol 16 (3) ◽  
pp. 1273-1284
Author(s):  
Hye Ji Kim ◽  
Hosung Jung ◽  
Young Jun Ko ◽  
Eun Su Chae ◽  
Hyo Jin Kim ◽  
...  
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Air Conditioning ◽  
Linear Problem ◽  
Storage System ◽  
Energy Charge ◽  
Energy Storage System ◽  
Peak Reduction ◽  
Railway Stations ◽  
Charging And Discharging Processes

AbstractThis paper proposes an algorithm for the cooperative operation of air conditioning facilities and the energy storage system (ESS) in railway stations to minimize electricity. Unlike traditional load patterns, load patterns of an urban railway station can peak where energy charge rates are not high. Due to this possibility, if applying the traditional peak-reduction algorithm to railway loads, energy changes can increase, resulting in higher electricity bills. Therefore, it is required to develop a new method for minimizing the sum of capacity charges and energy charges, which is a non-linear problem. To get a feasible solution for this problem, we suggest an algorithm that optimizes the facility operation through two optimizations (primary and secondary). This method is applied to the air-quality change model for operating air conditioning facilities as demand-response (DR) resources in railway stations. This algorithm makes it possible to estimate operable DR capacity every hour, rather than calculating the capacity of DR resources conservatively in advance. Finally, we perform a simulation for the application of the proposed method to the operation of DR resources and ESS together. The simulation shows that electricity bills become lowered, and the number of charging and discharging processes of ESS is also reduced.

scholarly journals A New Method to Optimize Semiactive Hybrid Energy Storage System for Hybrid Electrical Vehicle by Using PE Function

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Cong Zhang ◽  
Haitao Min ◽  
Yuanbin Yu ◽  
Qingnian Wang ◽  
Huanli Sun
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Super Capacitor ◽  
Power Sources ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Electrical Vehicle ◽  
Mass Volume

Although both battery and super-capacitor are important power sources for hybrid electric vehicles, there is no accurate configuration theory to match the above two kinds of power sources which have significantly different characteristics on energy and power storage for the goal of making good use of their individual features without size wasting. In this paper, a new performance is presented that is used for analysis and optimal design method of battery and super-capacitor for hybrid energy storage system of a parallel hybrid electrical vehicle. In order to achieve optimal design with less consumption, the power-energy function is applied to establish direct mathematical relationship between demand power and the performance. During matching process, firstly, three typical operating conditions are chosen as the basis of design; secondly, the energy and power capacity evaluation methods for the parameters of battery and super-capacitor in hybrid energy storage system are proposed; thirdly, the mass, volume, and cost of the system are optimized simultaneously by using power-energy function. As a result, there are significant advantages on mass, volume, and cost for the hybrid energy storage system with the matching method. Simulation results fit well with the results of analysis, which confirms that the optimized design can meet the demand of hybrid electric vehicle well.

Sign in / Sign up

Export Citation Format

Share Document