Limitations of demand- and pressure-driven modeling for large deficient networks

Q2 Engineering
M. Braun, O. Piller, J. Deuerlein, I. Mortazavi
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引用次数: 15

Abstract

Abstract. The calculation of hydraulic state variables for a network is an important task in managing the distribution of potable water. Over the years the mathematical modeling process has been improved by numerous researchers for utilization in new computer applications and the more realistic modeling of water distribution networks. But, in spite of these continuous advances, there are still a number of physical phenomena that may not be tackled correctly by current models. This paper will take a closer look at the two modeling paradigms given by demand- and pressure-driven modeling. The basic equations are introduced and parallels are drawn with the optimization formulations from electrical engineering. These formulations guarantee the existence and uniqueness of the solution. One of the central questions of the French and German research project ResiWater is the investigation of the network resilience in the case of extreme events or disasters. Under such extraordinary conditions where models are pushed beyond their limits, we talk about deficient network models. Examples of deficient networks are given by highly regulated flow, leakage or pipe bursts and cases where pressure falls below the vapor pressure of water. These examples will be presented and analyzed on the solvability and physical correctness of the solution with respect to demand- and pressure-driven models.
需求和压力驱动的大型缺陷网络模型的局限性
摘要计算管网的水力状态变量是管理饮用水分配的一项重要任务。多年来,许多研究人员改进了数学建模过程,将其用于新的计算机应用和更真实的配水网络建模。但是,尽管取得了这些不断的进步,仍然有许多物理现象可能无法用当前的模型正确处理。本文将更深入地研究需求驱动和压力驱动建模给出的两种建模范式。介绍了基本方程,并与电气工程中的优化公式进行了比较。这些公式保证了解决方案的存在性和唯一性。法国和德国研究项目ResiWater的核心问题之一是调查极端事件或灾害情况下的网络弹性。在这种模型被推到极限之外的特殊条件下,我们谈论的是有缺陷的网络模型。网络缺陷的例子包括高度调节的流量、泄漏或管道爆裂,以及压力低于水蒸气压力的情况。这些例子将介绍和分析解决方案的可解性和物理正确性,与需求和压力驱动的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drinking Water Engineering and Science
Drinking Water Engineering and Science Environmental Science-Water Science and Technology
CiteScore
3.90
自引率
0.00%
发文量
3
审稿时长
40 weeks
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