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Resilient layout, design and operation of energy-efficient water distribution networks for high-rise buildings using MINLP

机译:使用MINLP的高层建筑节能水分配网络的弹性布局,设计和运行

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Water supply of high-rise buildings requires pump systems to ensure pressure requirements. The design goals of these systems are energy and cost efficiency, both in terms of fixed cost as well as during operation. In this paper, cost optimal decentralized and tree-shaped water distribution networks are computed, where placements of pumps at different locations in the building are allowed. We propose a branch-and-bound algorithm for solving the corresponding mixed-integer nonlinear program, which exploits problem specific structure and outperforms state-of-the-art solvers. A further desirable feature is that the system is K-resilient, i.e., still able to operate under K pump failures during the use phase. Using a characterization of resilient solutions via a system of inequalities, the branch-and-bound scheme is extended by a separation algorithm to produce cost optimal resilient solutions. This implicitly solves a multilevel optimization problem which contains the computation of worst-case failures. Moreover, using a large set of test instances, the increased energy-efficiency of decentralized networks for the supply of building is shown and properties of resilient layouts are discussed.
机译:高层建筑供水需要泵系统以确保压力要求。这些系统的设计目标是能量和成本效率,无论是在固定成本和操作期间。在本文中,计算了成本最佳分散和树形水分配网络,其中允许在建筑物中的不同位置处的泵放置。我们提出了一种用于求解相应混合整数非线性程序的分支和绑定算法,其利用特定结构和优于最先进的求解器的问题。进一步理解的特征是该系统是k弹性,即,在使用相期间仍然能够在K泵故障下操作。使用通过不等式系统的弹性解决方案的表征,分支和边界方案通过分离算法延伸以产生成本最佳的弹性解决方案。这隐含地解决了多级优化问题,其中包含最坏情况失败的计算。此外,使用大量的测试实例,讨论了用于建筑物供应的分散网络的能量效率增加,并且讨论了弹性布局的性质。

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