Thermal Modelling for Demand Response of Residential Buildings

被引:0
|
作者
Du, Baoxiang [1 ]
Verbic, Gregor [2 ]
Fletcher, John [1 ]
机构
[1] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW, Australia
[2] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW, Australia
关键词
Energy Storage; Renewable Energy; Thermal Inertia; Object Oriented Modelling; ENERGY-STORAGE; MANAGEMENT;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy storage is considered as the dominant factor for the conventional grid to transition into smart grid. The current energy storage technologies have deficits in efficiency, flexibility and are not environmentally friendly. Researchers have proposed to use thermal mass of residential buildings as a medium for storing energy by modifying the behaviour of air-conditioning system. This paper presents a view on the proposed energy storage medium, thermal mass. From simulating the performance of building thermal elements using RC network representation, the possibility of adapting thermal inertia as a means of energy storage is evaluated. With analysis based on a variety of renewable energy generation and demand profile, an optimized material selection is made to further improve the efficiency of the system.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Modelling of Thermal Energy Demand in Smart Buildings
    Efkarpidis, Nikolaos
    Christoforidis, Georgios
    Papagiannis, Grigorios
    2019 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2019 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2019,
  • [2] Experimental Implementation of Demand Response Service for Residential Buildings
    Hong, Seung Ho
    Li, Yi-Chang
    Park, Jung Hoon
    Zhao, Bing
    2014 6TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT), 2014, : 277 - 282
  • [3] Demand response potential of ventilation systems in residential buildings
    Rotger-Griful, Sergi
    Jacobsen, Rune Hylsberg
    Nguyen, Dat
    Sorensen, Gorm
    ENERGY AND BUILDINGS, 2016, 121 : 1 - 10
  • [4] Demand response for residential buildings based on dynamic price of electricity
    Yoon, Ji Hoon
    Bladick, Ross
    Novoselac, Atila
    Energy and Buildings, 2014, 80 : 531 - 541
  • [5] On the assessment and control optimisation of demand response programs in residential buildings
    Pallonetto, Fabiano
    De Rosa, Mattia
    D'Ettorre, Francesco
    Finn, Donal P.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 127
  • [6] Carbon-Aware Demand Response for Residential Smart Buildings
    Zou, Jiamin
    Liu, Sha
    Ouyang, Luxia
    Ruan, Jiaqi
    Tang, Shuoning
    ELECTRONICS, 2024, 13 (24):
  • [7] Demand response for residential buildings based on dynamic price of electricity
    Yoon, Ji Hoon
    Bladick, Ross
    Novoselac, Atila
    ENERGY AND BUILDINGS, 2014, 80 : 531 - 541
  • [8] Demand response for residential buildings based on dynamic price of electricity
    Yoon, Ji Hoon
    Bladick, Ross
    Novoselac, Atila
    Energy and Buildings, 2014, 80 : 531 - 541
  • [9] Evaluation of potential for peak demand reduction of residential buildings by household appliances with demand response
    Ono, Tetsushi
    Hagishima, Aya
    Tanimoto, Jun
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2022, 105 (04)
  • [10] Evaluation of Potential for Peak Demand Reduction of Residential Buildings by Household Appliances with Demand Response
    Ono T.
    Hagishima A.
    Tanimoto J.
    IEEJ Transactions on Electronics, Information and Systems, 2022, 142 (08) : 909 - 918