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

被引:61
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
[41]   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
[42]   Solidification performance enhancement of encapsulated ice storage system by fins and copper foam [J].
Lou, Xujing ;
Wang, Hui ;
Xiang, Hengxue .
INTERNATIONAL JOURNAL OF REFRIGERATION, 2022, 134 :293-303
[43]   Decarbonizing the electricity sector in Qatar using PV combined with ice thermal and battery storage [J].
Al-Aali, I. ;
Modi, V. .
ENERGY STRATEGY REVIEWS, 2022, 44
[44]   An investigation on potential use of ice thermal energy storage system as energy source for heat pumps [J].
Altuntas, Merve ;
Erdemir, Dogan .
JOURNAL OF ENERGY STORAGE, 2022, 55
[45]   Optimization Control of Ice Storage Air-conditioning System [J].
Wu, Ting ;
Wu, Gang ;
Bao, Zhejing ;
Yan, Wenjun .
ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES, PTS 1-3, 2013, 655-657 :1492-1495
[46]   Computational Study on the Thermal Influence of the Components of a Thermoelectric Ice Maker on Ice Production [J].
Rodriguez, A. ;
Astrain, D. ;
Martinez, A. ;
Vian, J. G. .
JOURNAL OF ELECTRONIC MATERIALS, 2012, 41 (06) :993-998
[47]   Energy and emissions analysis of ice thermal energy storage in the western US [J].
Sepehri, Amin ;
Nelson, Brent .
ENERGY AND BUILDINGS, 2019, 202
[48]   Analysis of the Refrigeration Performance of the Refrigerated Warehouse with Ice Thermal Energy Storage Driven Directly by Variable Photovoltaic Capacity [J].
Liang, Junyu ;
Du, Wenping ;
Wang, Dada ;
Yuan, Xingyu ;
Liu, Mei ;
Niu, Kunhao .
INTERNATIONAL JOURNAL OF PHOTOENERGY, 2022, 2022
[50]   Adaptive Critic Designs of Optimal Control for Ice Storage Air Conditioning Systems [J].
Liao, Zehua ;
Wei, Qinglai .
NEURAL INFORMATION PROCESSING (ICONIP 2018), PT VII, 2018, 11307 :180-188