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Author:

Sun, Yuying (Sun, Yuying.) | Hao, Yingying (Hao, Yingying.) | Wang, Dan (Wang, Dan.) | Wang, Wei (Wang, Wei.) (Scholars:王伟) | Deng, Shiming (Deng, Shiming.) | Qi, Haoran (Qi, Haoran.) | Xue, Peng (Xue, Peng.)

Indexed by:

EI Scopus SCIE

Abstract:

Electrochromic (EC) glazing provides a promising solution to actively adjusting the sunlight and radiant heat through windows in response to building visual and thermal environmental requirements, and control strategies play a critical role in the application of EC technology in buildings. However, there is a conflict between the visual and thermal environmental requirements for EC regulation during a cooling season. To solve this problem, this paper developed a predictive control strategy for EC glazing. It was achieved based on two theoretical models which could predict the energy performance of EC glazing at different tint states, including the solar radiation heat transmitted through the glazing and lighting energy consumption. The optimum glazing state was determined based on real-time minimized energy consumption. Study results showed that the predictive control strategy outperformed the rule-based control strategy, with percentage energy saving of an office room in Beijing, China from 8.04% to 12.78% over an entire cooling season. In addition, the paper evaluated the energy-saving of using EC glazing under the predictive control strategy in 28 Chinese cities. The results indicated that EC glazing was highly applicable in most of cities with energy saving from 2.35 kWh/m(2) to 5.04 kWh/m(2) over an entire cooling season. (c) 2022 Published by Elsevier Ltd.

Keyword:

Predictive control strategy Energy saving EC glazing Visual environment Thermal environment

Author Community:

  • [ 1 ] [Sun, Yuying]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, 100 Pingleyuan Rd, Beijing 100124, Peoples R China
  • [ 2 ] [Hao, Yingying]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, 100 Pingleyuan Rd, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Dan]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, 100 Pingleyuan Rd, Beijing 100124, Peoples R China
  • [ 4 ] [Wang, Wei]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, 100 Pingleyuan Rd, Beijing 100124, Peoples R China
  • [ 5 ] [Xue, Peng]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, 100 Pingleyuan Rd, Beijing 100124, Peoples R China
  • [ 6 ] [Sun, Yuying]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 7 ] [Hao, Yingying]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 8 ] [Wang, Wei]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 9 ] [Xue, Peng]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 10 ] [Wang, Dan]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 11 ] [Wang, Wei]Beijing Inst Petrochem Technol, 19 Qingyuan Rd, Beijing 102627, Peoples R China
  • [ 12 ] [Deng, Shiming]Qatar Univ, Dept Mech & Ind Engn, POB 2713, Doha, Qatar
  • [ 13 ] [Qi, Haoran]China Railway Construct Grp Co Ltd, 20 Shijingshan Rd, Beijing 100040, Peoples R China

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Source :

RENEWABLE ENERGY

ISSN: 0960-1481

Year: 2022

Volume: 194

Page: 334-348

8 . 7

JCR@2022

8 . 7 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:49

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 15

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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