FAST DEMAND RESPONSE FOR BUILDING CLUSTERS

被引:0
|
作者
Srivastava, Sanjeev [1 ]
Song, Zhen [1 ]
Okunev, Dmitriy [1 ]
机构
[1] Siemens Corp, Corp Technol, Princeton, NJ USA
关键词
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper describes an approach for performing fast demand response involving a cluster of buildings. This approach is adaptive as well as distributed in nature. The approach is adaptive in the sense that the amount of targeted demand reduction, in an interval, is adjusted based on the performance of demand response actions executed in the last interval. The approach is distributed because the demand reduction is performed in each building in such a way that a global demand reduction target is met while the costs of performing the demand reduction actions are minimized. The developed method was implemented on a cluster of three buildings situated at U.S. Air Force Academy in Colorado Springs, CO. The results show that the developed approach was able to meet the demand reduction target, which was based on the amount of actual load that were deemed controllable for the DR events.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Estimating demand response potential in building clusters
    Goy, Solene
    Finn, Donal
    6TH INTERNATIONAL BUILDING PHYSICS CONFERENCE (IBPC 2015), 2015, 78 : 3391 - 3396
  • [2] Hierarchical distributed multi-energy demand response for coordinated operation of building clusters
    Zheng, Ling
    Zhou, Bin
    Cao, Yijia
    Or, Siu Wing
    Li, Yong
    Chan, Ka Wing
    APPLIED ENERGY, 2022, 308
  • [3] A fast building demand response method based on supply-demand coordination for urgent responses to smart grids
    Jin, Chen
    Yan, Chengchu
    Tang, Rui
    Cai, Hao
    Zeng, Ruixuan
    SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2019, 25 (10) : 1494 - 1504
  • [4] Dynamic Building Model for Demand Response
    Muthalib, Mohammed
    Nwankpa, Chika
    2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2014, : 1171 - 1174
  • [5] Fast Demand Response with Datacenter Loads
    McClurg, Josiah
    Mudumbai, Raghuraman
    Hall, Joseph
    2016 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2016,
  • [6] Hybrid data-driven and physics-based fast building cooling demand modeling method for large-scale building demand response control
    Feng, Chenxin
    Zhang, Chaobo
    Lu, Jie
    Zhao, Yang
    JOURNAL OF BUILDING ENGINEERING, 2025, 100
  • [7] Demand Response for Large Public Building System
    He, Zhendong
    Liu, Jingwan
    Shi, Changkai
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 4387 - 4393
  • [8] Model Analysis of a Residential Building for Demand Response
    Zhao, Zhiheng
    Verbic, Gregor
    Fiorito, Francesco
    2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [9] Optimal Incentivized Demand Response and Building Retrofits
    Nwulu, Nnamdi
    Sun, Yanxia
    2016 THIRD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND ENGINEERING (ICACCE 2016), 2016, : 418 - 422
  • [10] Towards a Standardized Building Assessment for Demand Response
    Oldewurtel, Frauke
    Sturzenegger, David
    Andersson, Goeran
    Morari, Manfred
    Smith, Roy S.
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 7083 - 7088