Data-Driven Evaluation of Residential HVAC System Efficiency Using Energy and Environmental Data

Data-Driven Evaluation of Residential HVAC System Efficiency Using Energy and Environmental Data
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DOI:
10.3390/en12010188
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发表时间:
2019-01-01
期刊:
影响因子:
3.2
通讯作者:
Cetin, Kristen S.
Cetin, Kristen S.
中科院分区:
工程技术4区
文献类型:
--
作者:
Huyen Do;Cetin, Kristen S.

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在美国,供暖、通风和空调 (HVAC) 系统通常是住宅建筑中最大的耗电终端用途。然而,房主不太可能定期维护暖通空调系统,因此也更有可能出现运行效率低下的情况。为了应对这一挑战,本研究致力于使用建筑评估人员的数据、HVAC 电力需求数据和室外环境数据来开发一种非侵入式数据驱动的评估方法。建筑评估人员的数据首先用于估计 HVAC 系统的规模,然后估计 HVAC 系统的电力需求曲线。所提出的电力需求曲线开发方法的比较表明与基于物理的 HVAC 模型结果非常一致。然后提出 HVAC 效率评级,该评级将模型预测的性能数据与实际性能数据进行比较,以确定 HVAC 系统是否按预期运行。作为案例研究,我们使用了德克萨斯州奥斯汀 39 座有人居住、装有空调的住宅楼的详细数据来证明是否存在潜在的 HVAC 低效率问题。结果证明,公用事业公司有利于帮助确定需要服务或能效升级的住宅 HVAC 系统,也有利于房主作为 HVAC 性能的持续评估工具。
In the U.S., the heating, ventilation, and air conditioning (HVAC) system is generally the largest electricity-consuming end-use in a residential building. However, homeowners are less likely to have their HVAC system serviced regularly, thus inefficiencies in operation are also more likely to occur. To address this challenge, this research works towards a non-intrusive data-driven assessment method using building assessors' data, HVAC electricity demand data, and outdoor environmental data. Building assessors' data is first used to estimate the HVAC system size, then estimate the electricity demand curve of the HVAC system. A comparison of the proposed electricity demand curve development method demonstrates strong agreement with physics-based HVAC model results. An HVAC efficiency rating is then proposed, which compares the model-predicted and actual performance data to define whether an HVAC system is operating as expected. As a case study, detailed data for 39 occupied, conditioned residential buildings in Austin, Texas, was used demonstrating the identification of the presence of potential HVAC inefficiencies. The results prove beneficial for utilities to help target residential HVAC systems in need of service or energy efficiency upgrades, as well as for homeowners as a continuous assessment tool for HVAC performance.