[1]孟庆龙,王文强,李为林,等.商业建筑HVAC电力需求响应研究与分析[J].郑州大学学报(工学版),2021,42(05):92-99.[doi:10.13705/j.issn.1671-6833.2021.05.012]
　Meng Qinglong,Wang Wenqiang,Li Weilin,et al.HVAC Demand Response in Commercial Buildings: A Review[J].Journal of Zhengzhou University (Engineering Science),2021,42(05):92-99.[doi:10.13705/j.issn.1671-6833.2021.05.012]
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商业建筑HVAC电力需求响应研究与分析()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
42
期数:
2021年05期
页码:
92-99
栏目:
出版日期:
2021-09-10

文章信息/Info

Title:
HVAC Demand Response in Commercial Buildings: A Review
作者:
孟庆龙; 王文强; 李为林; 熊成燕; 李洋; 任效效
长安大学建筑工程学院;中国启源工程设计研究院有限公司;郑州大学土木工程学院;
Author(s):
Meng Qinglong; Wang Wenqiang; Li Weilin; Xiong Chengyan; Li Yang; Responsibility;
School of Construction Engineering, Chang’an University; China Qiyuan Engineering Design and Research Institute Co., Ltd.; School of Civil Engineering, Zhengzhou University;
关键词:
Keywords:
HVAC;  demand response;  building to grid;  potential prediction;  response strategy
DOI:
10.13705/j.issn.1671-6833.2021.05.012
文献标志码:
A
摘要:
商业建筑集中空调（heating, ventilation and air-conditioning, HVAC）系统作为需求响应的优质资源，源端多能互补，末端柔性可调，在尽量不影响用户热舒适的前提下，缓解电网压力、解决电网供需不平衡问题潜力巨大。本文从集中空调系统特性的角度对建筑—电网（building to grid, B2G）下多种能源交互的HVAC需求响应进行综述分析。通过对比分析HVAC需求响应潜力的预测方法和响应策略的原理、特点以及适用性，指出HVAC系统参与需求响应项目时面临的主要问题，并探讨了HVAC需求响应面临的机遇和挑战，对HVAC需求响应项目在设计和实施方面提出一些设想与建议。
Abstract:
Aiming at the problems of air conditioning system participating in power grid demand response, the demand response (DR) of multi energy interaction in building power grid is comprehensively studied and analyzed from the perspective of HVAC system characteristics. The definition and classification of HVAC demand response are summarized, and the methods of using model predictive control (MPC) algorithm, genetic algorithm (GA) and other algorithms to predict the potential of HVAC demand response are discussed. The principles and applicability of DR strategies such as resetting regional temperature, increasing air supply temperature, resetting chilled water temperature and so on are summarized and analyzed. The analysis shows that for DR projects where the user′s thermal comfort is improved after the implementation of DR， this strategy can be considered to reduce energy consumption during daily system operation, and the combination of active energy storage strategy and conventional DR strategy can effectively solve the load rebound problem of DR events. Therefore auxiliary services should be considered for those users with large adjustable air-conditioning load.

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更新日期/Last Update: 2021-10-11