Optimal operation and scheduling of residential energy hubs simultaneously considering optimal sizing of heat storage and battery storage systems

2021 ◽  
Vol 44 ◽  
pp. 103481
Author(s):  
Pouria Emrani-Rahaghi ◽  
Hamed Hashemi-Dezaki ◽  
Seyed Amir Hosseini
Energies ◽  
2014 ◽  
Vol 7 (1) ◽  
pp. 130-149 ◽  
Author(s):  
Guido Carpinelli ◽  
Anna di Fazio ◽  
Shahab Khormali ◽  
Fabio Mottola

Energy ◽  
2012 ◽  
Vol 45 (1) ◽  
pp. 366-374 ◽  
Author(s):  
Sergio Rech ◽  
Andrea Toffolo ◽  
Andrea Lazzaretto

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6227
Author(s):  
Ying Yang ◽  
Weige Zhang ◽  
Shaoyuan Wei ◽  
Zhenpo Wang

This paper introduces an optimal sizing method for a catenary-free tram, in which both on-board energy storage systems and charging infrastructures are considered. To quantitatively analyze the trade-off between available charging time and economic operation, a daily cost function containing a whole life-time cost of energy storage and an expense of energy supplies is formulated for the optimal sizing problem. A mixed particle swarm optimization algorithm is utilized to find optimal solutions for three schemes: (1) ultracapacitors storage systems with fast-charging at each station; (2) battery storage systems with slow-charging at starting and final stations; (3) battery storage systems with fast-swapping at swapping station. A case study on an existing catenary-free tramline in China is applied to verify the effectiveness of the proposed method. Results show that a daily-cost reduction over 30% and a weight reduction over 40% can be achieved by scheme 2, and a cost saving of 34.23% and a weight reduction of 32.46% can be obtained by scheme 3.


2019 ◽  
Vol 139 (3) ◽  
pp. 212-224
Author(s):  
Xiaowei Dui ◽  
Masakazu Ito ◽  
Yu Fujimoto ◽  
Yasuhiro Hayashi ◽  
Guiping Zhu ◽  
...  

2021 ◽  
Vol 141 ◽  
pp. 110824
Author(s):  
Yongliang Shen ◽  
Shuli Liu ◽  
Abdur Rehman Mazhar ◽  
Xiaojing Han ◽  
Liu Yang ◽  
...  

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