A Novel Thermal Energy Storage System in Smart Building Based on Phase Change Material

被引:46
作者
Wei, Fanrong [1 ]
Li, Yuanzheng [2 ,3 ]
Sui, Quan [1 ]
Lin, Xiangning [1 ]
Chen, Le [1 ]
Chen, Zhe [4 ]
Li, Zhengtian [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Automat, Minist Educ, Key Lab Image Proc & Intelligence Control, Wuhan 430074, Hubei, Peoples R China
[3] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
[4] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
基金
中国国家自然科学基金;
关键词
Thermal energy storage system; phase change material; analytic building model; electric-thermal combined dispatching; MODEL-PREDICTIVE CONTROL; RENEWABLE ENERGY; DEMAND RESPONSE; LOAD; TECHNOLOGIES; MANAGEMENT; DISPATCH; WATER; PCM;
D O I
10.1109/TSG.2018.2812160
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a novel phase change material based thermal energy storage system (PCMTESS) that is suitable for smart building energy management, together with its corresponding thermal-electric combined two-stage dispatching strategy. Benefiting from the phase change materials' thermal characteristic of absorbing or releasing a significant amount of heat at a constant temperature, this thermal energy storage system is endowed with a high capacity and a relatively stable thermal state during its charge/discharge process. To evaluate the thermal performance of the PCMTESS, which is integrated as a part of building wallboard, a detailed analytic thermodynamic building model is proposed that considers the influence of the forced air convection and the external environments, such as solar radiation. Furthermore, a two-stage electric-thermal combined dispatching scheme is designed to minimize the electricity consumption expenditure and power fluctuation on the premise of maintaining a comfortable indoor temperature. Simulation studies on a smart building indicate that the proposed thermal energy storage system is a feasible and economical solution for solving peak load shaving and power fluctuation.
引用
收藏
页码:2846 / 2857
页数:12
相关论文
共 36 条
[1]  
[Anonymous], WEATH HIST WUH CN
[2]   Comprehensive exergy analysis of a ground-source heat pump system for both building heating and cooling modes [J].
Bi, Yuehong ;
Wang, Xinhong ;
Liu, Yun ;
Zhang, Hua ;
Chen, Lingen .
APPLIED ENERGY, 2009, 86 (12) :2560-2565
[3]   Opportunity Cost Quantification for Ancillary Services Provided by Heating, Ventilating, and Air-Conditioning Systems [J].
Blum, David H. ;
Zakula, Tea ;
Norford, Leslie K. .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (03) :1264-1273
[4]   Energy Storage Technologies: The Past and the Present [J].
Boicea, Valentin A. .
PROCEEDINGS OF THE IEEE, 2014, 102 (11) :1777-1794
[5]   Hierarchical Predictive Load Control in Smart Grids [J].
Brandstetter, Markus ;
Schirrer, Alexander ;
Miletic, Maja ;
Henein, Sawsan ;
Kozek, Martin ;
Kupzog, Friederich .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (01) :190-199
[6]   Review of passive solar heating and cooling technologies [J].
Chan, Hoy-Yen ;
Riffat, Saffa B. ;
Zhu, Jie .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2010, 14 (02) :781-789
[7]   A Two-Layer Stochastic Model Predictive Control Scheme for Microgrids [J].
Cominesi, Stefano Raimondi ;
Farina, Marcello ;
Giulioni, Luca ;
Picasso, Bruno ;
Scattolini, Riccardo .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2018, 26 (01) :1-13
[8]   Phase change materials and thermal energy storage for buildings [J].
de Gracia, Alvaro ;
Cabeza, Luisa F. .
ENERGY AND BUILDINGS, 2015, 103 :414-419
[9]   Autonomous Demand Response Using Stochastic Differential Games [J].
Forouzandehmehr, Najmeh ;
Esmalifalak, Mohammad ;
Mohsenian-Rad, Hamed ;
Han, Zhu .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (01) :291-300
[10]   Mathematical modelling of PCM air heat exchanger [J].
Hed, G ;
Bellander, R .
ENERGY AND BUILDINGS, 2006, 38 (02) :82-89