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State estimation of district heating network based on customer measurements

机译:基于客户测量的区域供热网络状态估计

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District heating (DH) has been widely used in many European countries since the beginning of 20th century. In Finland approximately half of the heating market was covered by DH by 2011. For better use of district heating, real-time monitoring of the water flows, temperatures and heat losses can be an effective vehicle to manage DH networks. Automated remote meter reading is a new technology that was applied since 2005 and will cover the Helsinki region within 10 years. Automated meter reading enables computing the heat losses more accurately than before. In this paper, a new model is designed to estimate the water flows, temperatures, and heat losses in different parts of the network using automated hourly meter readings for customers. Assuming a connected graph topology for the network, the flow equations form a determined and potentially nonlinear system that we solve iteratively. Then, based on the computed water flows and customer temperature measurements, we express the water temperature and heat loss in each pipe as an over-determined linear system and solve it in the least squares (LSQ) sense which ensures the solution with the smallest 2-norm error vector. We illustrate the method with a real life DH network based on hourly temperature and flow measurements for one week. The model can be applied to arbitrary DH networks. (C) 2014 Elsevier Ltd. All rights reserved.
机译:自20世纪初以来,区域供热(DH)已在许多欧洲国家中广泛使用。到2011年,芬兰的供热市场将占到供暖市场的一半。为了更好地利用区域供热,实时监测水流量,温度和热量损失可以成为管理DH网络的有效手段。自动远程抄表是一项自2005年以来应用的新技术,将在10年内覆盖赫尔辛基地区。自动抄表可比以前更准确地计算热量损失。在本文中,设计了一种新模型,该模型使用自动小时计读数为客户估算网络不同部分的水流量,温度和热损失。假设网络具有连通图拓扑,则流量方程形成一个确定的且可能是非线性的系统,我们可以对其进行迭代求解。然后,根据计算出的水流量和客户温度测量结果,我们将每根管道中的水温和热损失表示为一个超定线性系统,并以最小二乘(LSQ)的方式求解,从而确保最小的2 -范数误差向量。我们根据一个小时的每小时温度和流量测量结果,使用具有真实生活的DH网络来说明该方法。该模型可以应用于任意DH网络。 (C)2014 Elsevier Ltd.保留所有权利。

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