Utilizing commercial heating, ventilating, and air conditioning systems to provide grid services: A review

被引:22
作者
Fu, Yangyang [1 ]
Neill, Zheng O. [1 ]
Wen, Jin [2 ]
Pertzborn, Amanda T. [3 ]
Bushby, Steven [3 ]
机构
[1] Texas A&M Univ, J Mike Walker 66 Dept Mech Engn, College Stn, TX 77843 USA
[2] Drexel Univ, Dept Civil Architectural & Environm Engn, Philadelphia, PA 19104 USA
[3] NIST, Gaithersburg, MD 20899 USA
关键词
Grid-interactive efficient buildings; Grid service; Delivery control strategy; Rule-based control; Model-based control; Building-to-grid integration; MODEL-PREDICTIVE CONTROL; THERMAL-ENERGY STORAGE; FAST DEMAND RESPONSE; HVAC CHILLER CONTROL; DIRECT LOAD CONTROL; FREQUENCY REGULATION; ANCILLARY SERVICE; CONTROL STRATEGY; COMFORT OPTIMIZATION; PERFORMANCE ANALYSIS;
D O I
10.1016/j.apenergy.2021.118133
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
The modern power grid faces multiple challenges due to an increase in the adoption of renewable generation, such as dynamically balancing supply and demand at different time scales. Demand side management in buildings plays a vital role in achieving this balance because buildings can provide grid services through a variety of building assets. However, the development of grid-interactive, efficient buildings is still in its infancy, and a systematic and holistic understanding of grid service delivery strategies in terms of energy efficiency, load shifting, load shedding and load modulating is still limited. This paper is a comprehensive review of the development and application of building-level control strategies for utilizing heating, ventilating, and air con-ditioning systems to provide grid services. These strategies have been investigated through numerical and experimental studies. Control algorithms, such as heuristic rule-based control and model-based control, have been used to enable the automatic control delivery of grid services. The advantages and disadvantages of the strategies are summarized and discussed. Research trends are also identified, which include considering pre-dicted mean vote-based and occupant-based thermal comfort, modeling of occupant behavior, integrating power grid operations with building control, and combining different demand flexibility modes in the control design.
引用
收藏
页数:17
相关论文
共 123 条
[1]   Demand side flexibility: Potentials and building performance implications [J].
Aduda, K. O. ;
Labeodan, T. ;
Zeiler, W. ;
Boxem, G. ;
Zhao, Y. .
SUSTAINABLE CITIES AND SOCIETY, 2016, 22 :146-163
[2]   Theory and applications of HVAC control systems - A review of model predictive control (MPC) [J].
Afram, Abdul ;
Janabi-Sharifi, Farrokh .
BUILDING AND ENVIRONMENT, 2014, 72 :343-355
[3]   Smart windows Dynamic control of building energy performance [J].
Allen, Kaitlin ;
Connelly, Karen ;
Rutherford, Peter ;
Wu, Yupeng .
ENERGY AND BUILDINGS, 2017, 139 :535-546
[4]  
[Anonymous], 2010, RES REPORT
[5]  
Antretter F., 2019 BUI 14 INT C GE
[6]   State of the art of thermal storage for demand-side management [J].
Arteconi, A. ;
Hewitt, N. J. ;
Polonara, F. .
APPLIED ENERGY, 2012, 93 :371-389
[7]   Building Automation and Control Systems and performance optimization: A framework for analysis [J].
Aste, Niccolo ;
Manfren, Massimiliano ;
Marenzi, Giorgia .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 75 :313-330
[8]  
Bao G., 2012, 2012 IEEE INT C AUT
[9]   Peak load shifting with energy storage and price-based control system [J].
Barzin, Reza ;
Chen, John J. J. ;
Young, Brent R. ;
Farid, Mohammed M. .
ENERGY, 2015, 92 :505-514
[10]   Application of PCM underfloor heating in combination with PCM wallboards for space heating using price based control system [J].
Barzin, Reza ;
Chen, John J. J. ;
Young, Brent R. ;
Farid, Mohammed M. .
APPLIED ENERGY, 2015, 148 :39-48