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Author:

Chen, Yongbao (Chen, Yongbao.) | Xu, Peng (Xu, Peng.) | Chen, Zhe (Chen, Zhe.) | Wang, Hongxin (Wang, Hongxin.) | Sha, Huajing (Sha, Huajing.) | Ji, Ying (Ji, Ying.) | Zhang, Yongming (Zhang, Yongming.) | Dou, Qiang (Dou, Qiang.) | Wang, Sheng (Wang, Sheng.)

Indexed by:

EI Scopus SCIE

Abstract:

Heating, ventilation, and air conditioning (HVAC) systems, combined with the internal thermal mass of buildings, have been deemed to be promising means of providing demand response (DR) resources, particularly for buildings with active energy storage systems. DR resources, such as peak-load reduction potential, can provide grid-responsive support resulting in a high degree of grid involvement and high flexible electricity demand. In the DR field, the potential of HVAC load flexibility has been considered in buildings. In the future smart buildings, it is important to take advantage of demand-side resources to achieve real-time energy supply-demand balance sustainably. In this context, DR potential and characteristics of buildings play a pivotal role in DR programs. However, few studies have investigated the internal thermal mass's heat release and DR characteristics of buildings. Thus, a systematic experiment is conducted to study the DR potential and characteristics of internal thermal mass and active storage systems. The DR resources include the passive cooling storage from furniture, building envelope and an active water storage tank. Two DR control strategies, including pre-cooling and temperature resetting, are analyzed in this study. The experimental results show that the strategies are effective for short-term (0.5 h) and intermediate-term (2 h) DR programs. For a long-term DR program, active energy storage technology such as a water storage tank is required to satisfy the occupant's comfort requirements. Hence, we conclude that passive thermal mass and active storage systems should be simultaneously considered in practical DR programs for better DR implementation.

Keyword:

Thermal building mass Energy storage Demand response HVAC system Energy flexibility

Author Community:

  • [ 1 ] [Chen, Yongbao]Univ Shanghai Sci & Technol, Sch Energy & Power Engn, Shanghai 200093, Peoples R China
  • [ 2 ] [Xu, Peng]Tongji Univ, Sch Mech & Energy Engn, Shanghai 201804, Peoples R China
  • [ 3 ] [Chen, Zhe]Tongji Univ, Sch Mech & Energy Engn, Shanghai 201804, Peoples R China
  • [ 4 ] [Wang, Hongxin]Tongji Univ, Sch Mech & Energy Engn, Shanghai 201804, Peoples R China
  • [ 5 ] [Sha, Huajing]Tongji Univ, Sch Mech & Energy Engn, Shanghai 201804, Peoples R China
  • [ 6 ] [Ji, Ying]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 7 ] [Ji, Ying]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing 100124, Peoples R China
  • [ 8 ] [Zhang, Yongming]Tongji Univ, Sino German Coll Appl Sci, Shanghai 201804, Peoples R China
  • [ 9 ] [Dou, Qiang]Qingjian Grp Co Ltd, Qingdao 266071, Peoples R China
  • [ 10 ] [Wang, Sheng]Qingjian Grp Co Ltd, Qingdao 266071, Peoples R China

Reprint Author's Address:

  • [Xu, Peng]Tongji Univ, Sch Mech & Energy Engn, Shanghai 201804, Peoples R China

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Source :

APPLIED ENERGY

ISSN: 0306-2619

Year: 2020

Volume: 280

1 1 . 2 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:115

Cited Count:

WoS CC Cited Count: 68

SCOPUS Cited Count: 89

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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