Estimation of physical buildings parameters using interval thermostat data
Estimation of physical buildings parameters using interval thermostat data
复制标题
使用间隔恒温器数据估计物理建筑参数
DOI：
10.1145/3137133.3137161
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Michael Zeifman
中科院分区：
文献类型：
--
作者：
Amine Lazrak;Michael Zeifman
通过改造现有住宅建筑的外壳和HVAC系统可以实现显著的节能。建筑物改造机会的识别目前需要现场能源评估，这对房主来说是不方便的，昂贵的，并且具有可变的准确性，使得大规模提供具有成本效益的改造机会具有挑战性。通信恒温器的大规模部署提供了一种可能性，通过分析相关的间隔室内温度和供暖系统运行时间数据的远程能源评估。在本文中，我们提出了一种方法来估计整体建筑绝缘水平，暖通空调系统的效率，和建筑物的气密性，从通信恒温器数据。该方法使用一个住宅建筑的灰箱模型，包括识别基本模型参数，其次是估计和非参数建模一般可变的外部和内部热增益/损失。通过这种方式，还可以预测各种改造场景和用户行为下的建筑物的室内温度和能耗。初步结果证明了该方法的可行性。
Significant energy savings can be achieved by retrofitting the enclosures and HVAC systems of existing residential buildings. Identification of building retrofit opportunities currently requires on-site energy assessments that are inconvenient to homeowners, expensive, and are of variable accuracy, making it challenging to deliver cost-effective retrofit opportunities at scale. Massive deployment of communicating thermostats provides a possibility for remote energy assessment by analyzing the associated interval indoor temperature and heating system run-time data. In this paper, we present a methodology to estimate the overall building insulation level, HVAC system efficiency, and building airtightness from the communicating thermostat data. The methodology uses a grey-box model of a residential building and includes identification of basic model parameters, followed by estimation and non-parametric modeling of generally variable external and internal heat gains/losses. In this way, it is also possible to predict indoor temperature and energy consumption of the building under various retrofit scenarios and user behaviors. Preliminary results demonstrate the feasibility of the proposed method.