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首页> 外文会议>International Scientific Conference on Power and Electrical Engineering of Riga Technical University >Modelling residential heat demand supplied by a local smart electric thermal storage system
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Modelling residential heat demand supplied by a local smart electric thermal storage system

机译：建模由本地智能电蓄热系统提供的住宅热需求

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This paper presents an inverse modelling approach for deriving equivalent thermal parameters of buildings. A simplified thermal network based on electrical analogy was developed to replicate building thermal dynamics and model residential heat demand. The study employs data driven blackbox modelling based on the measured indoor and outdoor temperature. To validate the proposed method, virtual and physical experiments were conducted and performance of the simplified thermal network model was compared to two more complex RC models and measurements in an existing building. The simplified model was able to replicate the thermal dynamics of the complex models and the building with a high accuracy at the same conditions under which model parameters were estimated implying that for accurate modelling a large amount of experimental data obtained under various conditions is required. Such data will be gathered in the upcoming studies from 50 buildings in Latvia. The obtained data will then be used to model the aggregate heating demand at a national scale for assessment of the impact of smart electric thermal storage appliances on the overall power system.
机译：本文提出了一种逆向建模方法，用于推导建筑物的等效热参数。开发了基于电气类比的简化热网络，以复制建筑物的热力学并模拟住宅的热需求。这项研究基于测量的室内和室外温度，采用了数据驱动的黑匣子建模。为了验证所提出的方法，进行了虚拟和物理实验，并将简化的热网络模型的性能与现有建筑物中两个更复杂的RC模型和测量结果进行了比较。简化的模型能够在估计模型参数的相同条件下，以高精度复制复杂模型和建筑物的热力学，这意味着要进行精确建模，需要在各种条件下获得大量实验数据。这些数据将在即将进行的研究中从拉脱维亚的50座建筑物中收集。然后，所获得的数据将用于在全国范围内对总供热需求进行建模，以评估智能蓄电设备对整个电力系统的影响。

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