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Investigation of Active Identification Methods for Thermohydraulic Testing of Heat Networks

机译:热力网络热工水力测试的主动识别方法研究

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Considerable uncertainty of the information about actual characteristics and parameters is the key factor restricting the effective use of mathematical modeling and computer simulation methods in solving problems of optimal retrofitting, commissioning, development of operating regimes, and dispatch control of heat networks. Application of the existing industrial procedures in testing a heat network for hydraulic and heat losses does not make the issue less urgent, because of the fact that the test conditions have not been properly standardized as yet and no guarantee is provided for the completeness and accuracy of the obtained results. The employment of the available methods of parametric identification during passive monitoring of heat networks during their normal operation does not ensure that the required solution will be obtained due to insufficient number of measurement points and a narrow range where the operating conditions can be varied. The paper presents a unique formalization of the problems of testing heat networks for hydraulic and heat losses as problems of active identification assuming optimal planning and processing of the test results with the use of a mathematical model of steady-state thermohydraulic regimes. A description of the model, a substantiation of selection of test optimality criteria, mathematical formulations of problems for optimal planning of test conditions and optimal location of instruments, and test result processing procedures are presented. The proposed procedure is in a step-wise test strategy giving maximum information with a minimal risk that too many tests will be performed. It is applicable for testing various types of heat networks having any structure or configuration. The potential efficiency of simultaneous performance of thermal and hydraulic testing of a heat network is demonstrated for the first time theoretically and by an example. It manifests itself in minimizing the total number of experiments required for reaching the prespecified accuracy in determining the actual characteristics of heat networks and of the model predictions.
机译:有关实际特性和参数的信息存在很大的不确定性,这是限制数学模型和计算机仿真方法有效解决最佳改造,调试,运行制度发展和热网调度控制问题的关键因素。应用现有的工业程序来测试热力网络的水力和热损失并没有使问题变得不那么紧迫,因为测试条件尚未得到适当的标准化,并且不能保证测试的完整性和准确性。获得的结果。在热网正常运行期间进行被动监视期间,采用可用的参数识别方法不能确保由于测量点数量不足和运行条件可以变化的范围狭窄而无法获得所需的解决方案。本文提出了一种对热力网络进行水力和热损失测试的问题的形式化描述,可以作为主动识别的问题,并假设使用稳态热液工况数学模型对测试结果进行了最佳规划和处理。介绍了模型的说明,测试最优性标准选择的依据,用于测试条件的最佳计划和仪器的最佳位置的问题的数学公式以及测试结果处理程序。所建议的过程采用逐步测试策略,可提供最多的信息,同时将执行过多测试的风险降至最低。它适用于测试具有任何结构或配置的各种类型的热网。理论上并通过实例首次证明了对热网络进行热力和水力测试的同时执行的潜在效率。它表现为最大程度地减少了在确定热网络和模型预测的实际特征时达到预定精度所需的实验总数。

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