Study on optimal ice storage capacity of ice thermal storage system and its influence factors

被引:59
作者
Song, Xu [1 ]
Zhu, Tong [1 ]
Liu, Liuchen [1 ]
Cao, Zhenjun [2 ]
机构
[1] Tongji Univ, Sch Mech & Energy Engn, Shanghai 201804, Peoples R China
[2] Shanghai Zhixin Elect Co Ltd, Shanghai 200080, Peoples R China
关键词
Ice thermal storage; Chiller priority; Storage priority; Optimal control; Optimal ice storage capacity; ENERGY-STORAGE; COMMERCIAL BUILDINGS; CHONGMING COUNTY; COOLING SYSTEM; OPTIMIZATION; PLANTS; MASS;
D O I
10.1016/j.enconman.2018.03.007
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper explores the impact of different control strategies and electric tariff structures on the optimal ice storage capacity in relation to system economy for four typical buildings of hotel, restaurant, mall and office. The ice storage rate and electric price ratio are introduced to denote the various ice storage capacities and the different electric tariff structures, respectively. Then the chiller capacity and economic evaluation index value corresponding to each typical building with various ice storage rates and electric price ratios under three control strategies (chiller priority, storage priority, and optimizing) are calculated. The results indicated that there is respective optimal ice storage rate corresponding to both the minimal chiller capacity and the minimal economic evaluation index value. The optimal ice storage rate in relation to minimal chiller capacity is constant value under each control strategy. Such optimal values under both chiller priority and optimized control strategies are equivalent and less than that under storage priority control strategy. However, the optimal ice storage rate in relation to minimal economic evaluation index value under each control strategy is significantly affected by the electric tariff structures. The corresponding optimal ice storage rates under both chiller priority and optimized control strategies are equivalent and increase to a definite value with the increase in the electric price ratio. While the optimal ice storage rate under storage priority control strategy will appear when electric price ratio is greater than 3. The results also showed that, when electric price ratio increases to a certain value, the optimal ice storage rates corresponding to both minimal economic expense and minimal chiller capacity under each control strategy for the four typical buildings are equivalent.
引用
收藏
页码:288 / 300
页数:13
相关论文
共 50 条
[31]   Study on the Optimization of Multi-factor Influencing Ice Thermal Storage Air Conditioning System Economy [J].
Wang, Zhiwei ;
Yang, Qiuli ;
Zhang, Leimin ;
Han, Liping ;
Sun, Jie .
MANUFACTURING SCIENCE AND MATERIALS ENGINEERING, PTS 1 AND 2, 2012, 443-444 :333-+
[32]   Experimental investigation of ice melting system with open and closed ice-storage tanks combined internal and external ice melting processes [J].
Bi, Yuehong ;
Yu, Meize ;
Wang, Hongyan ;
Huang, Jiabin ;
Lyu, Tianli .
ENERGY AND BUILDINGS, 2019, 194 :12-20
[33]   Experimental study on the influence of gas-blowing flow rate on the cold discharge characteristics of external ice-melting ice storage system [J].
Zhang, Yafei ;
Liu, Zedong ;
Chen, Hua ;
Li, Guangkang ;
Zhang, Jiaming .
RENEWABLE ENERGY, 2024, 230
[34]   Experimental research on ice-making and ice-dropping of longitudinal ribbed pipe dynamic ice thermal storage [J].
Zheng, MY ;
Wang, L ;
Gong, LH .
ENERGY AND ENVIRONMENT, VOLS 1 AND 2, 2003, :1098-1102
[35]   Experimental analyses of solidification phenomena in an ice-based thermal energy storage system [J].
Sharma, Amrita ;
Abhinand, S. ;
Kothadia, Hardik ;
Singh, Shobhana ;
Mondal, Bobin .
APPLIED THERMAL ENGINEERING, 2024, 236
[36]   Experimental and numerical study during the solidification process of a vertical and horizontal coiled ice storage system [J].
Chang, Chun ;
Xu, Xiaoyu ;
Guo, Xinxin ;
Yu, Rong ;
Rasakhodzhaev, Bakhramzhan ;
Bao, Daorina ;
Zhao, Mingzhi .
ENERGY, 2024, 298
[37]   Guidelines for improved performance of ice storage systems [J].
Henze, GP ;
Krarti, M ;
Brandemuehl, MJ .
ENERGY AND BUILDINGS, 2003, 35 (02) :111-127
[38]   Optimal Control Strategy for Ice-storage System Based on Hourly Dynamic Load Simulation [J].
Wang, Xuemei ;
Wang, Zhenhai ;
Wang, Xinglong .
CONSTRUCTION AND URBAN PLANNING, PTS 1-4, 2013, 671-674 :2515-+
[39]   A novel decomposition method for MILP and its application to optimal operation of a thermal storage system [J].
Yokoyama, R ;
Ito, K .
ENERGY CONVERSION AND MANAGEMENT, 2000, 41 (16) :1781-1795
[40]   Load Prediction and Optimal Control for Green Buildings with Ice Storage Systems [J].
You Yu-wen ;
Zhang Zhi-gang ;
Liang Chun-feng ;
Guo Chun-mei .
PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, :1227-1230