基于室内设定温度调节的办公建筑空调用能柔性特性实验分析
Experimental analysis on flexible characteristics of air conditioning energyuse in office buildings based on indoor set temperature regulation
摘要:
空调系统作为建筑需求响应的核心,具有较大的柔性潜力。为了实现需求响应效益的最大化,针对性地实施优化配置与调控,必须明确空调用能柔性特性。然而,现有研究多依赖于模拟仿真探究需求响应期间的空调用能柔性特性,该方法往往无法准确反映实际运行条件,导致柔性特性不明晰,进而造成调控不合理、效率低等问题。针对以上问题,本研究选取2栋办公建筑进行了不同工况的需求响应实验,基于温变速率与预计平均热感觉指数(PMV)指标分析了设定温度调节期间的室内舒适度,并以柔性量、柔性比分析了不同工况下空调柔性可调潜力区间;同时,通过蓄热体内表面温度研究需求响应期间建筑蓄热体柔性特征。实测结果表明:在需求响应期间,当设定温度调节1~2 ℃时,均可维持较好的室内舒适度;同时,需求响应期间2栋建筑能够提供10~20 W/m2的柔性负荷量,可实现28.3%~83.1%的负荷转移。本文结果可为空调系统柔性量化提供指标支撑与实测依据,对“双碳”目标下的建筑节能有参考价值。
Abstract:
The air conditioning system as the core of the building demand response, has a greater potential for flexibility. In order to maximize the benefits of demand response and to optimize the configuration and regulation, it is necessary to clarify the flexible characteristics of air conditioning energy use. However, most existing studies rely on simulation to investigate the flexible characteristics of air conditioning energy use during demand response, which often fails to accurately reflect the actual operating conditions, resulting in unclear flexible characteristics, which leads to irrational regulation and low efficiency. In view of the above problems, this study selects two office buildings to carry out demand response experiments under different working conditions, analyses the indoor comfort during the set temperature regulation based on the temperature change rate and predicted mean vote (PMV) indicators, and analyses the air conditioning flexible adjustable potential interval under different working conditions by the flexible capacity and flexibility ratio. At the same time, the flexible characteristics of the building thermal storage during the demand response period are studied by the internal surface temperature of the thermal storage body. The measured results show that during the demand response period, when the set temperature is adjusted by 1-2 ℃, both can maintain better indoor comfort. At the same time, the two buildings can provide a flexible load quantity of 10-20 W/m2during the demand response period, which can realize a load transfer of 28.3%-83.1%. The results of this paper can provide the index support and measurement basis for the flexible quantification of air conditioning systems, which is of great significance for building energy conservation under the goal of “double carbon”.
Keywords:office building; air conditioning system; flexible load; demand response; temperature regulation; indoor thermal comfort; building thermal storage body