Abstract
High-rise water supply systems provide water flow and suitable pressure in all levels of tall buildings. To design such state-of-the-art systems, the consideration of energy efficiency and the anticipation of component failures are mandatory. In this paper, we use Mixed-Integer Nonlinear Programming to compute an optimal placement of pipes and pumps, as well as an optimal control strategy.Moreover, we consider the resilience of the system to pump failures. A resilient system is able to fulfill a predefined minimum functionality even though components fail or are restricted in their normal usage. We present models to measure and optimize the resilience. To demonstrate our approach, we design and analyze an optimal resilient decentralized water supply system inspired by a real-life hotel building.
Highlights
To supply the upper floors of tall buildings, pumps are mandatory
The optimization and design of water networks using Mixed-Integer Nonlinear Program (MINLP) techniques has been considered in several other publications, see, e.g., [2,3,4,5]
We consider resilience measured by the so-called buffering capacity of the system, i.e., the size of disruption that can be absorbed without fundamental breakdom in system performance [9]
Summary
To supply the upper floors of tall buildings, pumps are mandatory. These pumps are usually placed at the lowest level. We consider the design of high-rise water supply networks such that disturbances in pump operation are tolerated. We consider resilience measured by the so-called buffering capacity of the system, i.e., the size of disruption that can be absorbed without fundamental breakdom in system performance [9]. This property holds in our context, if the system still fulfills the minimum requirements after the (complete) failure of K arbitrary pumps. Our decentralized approach has the potential to increase resilience through distributed placement of pumps and the possibility to employ more complicated pump network structures reducing the number of redundant pumps
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