arrow
返回

System modeling for grid-interactive efficient building applications

delete2023-06-01
delete10
PRE
AI
Y
Yunyang Ye
C
Cary A. Faulkner
·
·徐戎 (Rong Xu)
S
Sen Huang *
刘源 封面图
刘源 (Yuan Liu)
D
Draguna Vrabie
张建 封面图
张建 (Jian Zhang)
W
Wangda Zuo
DOI:10.1016/j.jobe.2023.106148delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Despite the abundance of research applications of system modeling in grid-interactive efficient buildings (GEBs), the transfer of those applications to real-world practices is still in its early stages. This is partially due to the lack of a summary on how system modeling should be established for a given application of GEBs. In this paper, we fill this gap by providing an extensive survey of the literature on system modeling for different GEBs that have been produced in the past decade. This survey involves over 300 relevant journal articles from the building community, the power system community, and the society of control. Specifically, we first identified key requirements of system modeling for GEBs based on various types of applications discussed in those publications. We then summarized the system modeling applications from those publications, in terms of their assumptions, modeling approach, and simulation. After that, we analyzed different assumptions made for various applications, the extent to which those modeling approaches satisfied the key requirements, and how those approaches can be scaled up for large-scale applications, which are quite common in GEBs. In addition, we gave insights on how to use system modeling for different applications in GEBs. At the end, we provided recommended directions for future studies to fully unleash the potentials of system modeling to support GEBs.
Keyword:
Grid-interactive efficient building
Data-driven model
Physical-based model
Planning and operation
Review
System modeling

期刊

Journal of Building Engineering 封面图
Journal of Building Engineering
IF:
7.4
论文数:
1.7W
被引数:
6.6W

机构

P
Pacific Northwest National Laboratory
学者数:
9.0K
论文数: 6.3K
被引数: 14
University of Colorado System 封面图
University of Colorado System
学者数:
6.3W
论文数: 5.5W
被引数: 1.8K
U
united states department of energy (doe)
学者数:
11.3W
论文数: 9.6W
被引数: 246
U
university of colorado boulder
学者数:
2.0W
论文数: 1.5W
被引数: 33
学者 查看更多机构
引用论文

引用论文

err分享
err收藏
DR-Advisor: A data-driven demand, response recommender system
err2016-05-01
err69
errOAAI
errBehl, Madhur; Smarra, Francesco; Mangharam, Rahul
err分享
err收藏
学者 查看更多内容