Optimization and validation of pumping system design and operation for water supply in high-rise buildings
Optimization and validation of pumping system design and operation for water supply in high-rise buildings
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DOI：
10.1007/s11081-020-09553-4
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发表时间：
2020-09
影响因子：
2.1
通讯作者：
T. Müller;Philipp Leise;Imke-Sophie Lorenz;L. Altherr;P. Pelz
中科院分区：
文献类型：
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作者：
T. Müller;Philipp Leise;Imke-Sophie Lorenz;L. Altherr;P. Pelz
应用数学优化方法进行供水系统的设计和运行提供了提高能源效率和降低投资成本显着的能力。我们提出了一个系统的方法，在现实世界中的高层建筑，是基于使用的混合整数非线性和混合整数线性建模方法的泵系统的优化设计和操作。此外，我们考虑不同的升压站拓扑结构，即并联和串并联中央升压站以及分散升压站。为了确认与现实世界的系统行为的基础优化模型的有效性，我们还提出了验证结果的基础上进行的实验模块化构造的抽水试验台。在模型中，我们考虑布局和控制决策，不同的负载情况下，导致一个确定性等效的两阶段随机优化程序。我们使用分段线性化以及分段松弛泵的特性，以获得混合整数线性模型。除了与现成的解决方案，我们提出了一个具体的问题的精确求解算法，以提高计算时间。为了有效地探索解空间，我们将问题分解为更小的子问题，这些子问题在求解过程中可以部分地被截断。此外，我们讨论的性能和适用性的解决方案的方法为真实的建筑物和分析的技术方面的解决方案，从工程师的角度来看，牢记投资和运营成本之间的经济重要的权衡。
The application of mathematical optimization methods for water supply system design and operation provides the capacity to increase the energy efficiency and to lower the investment costs considerably. We present a system approach for the optimal design and operation of pumping systems in real-world high-rise buildings that is based on the usage of mixed-integer nonlinear and mixed-integer linear modeling approaches. In addition, we consider different booster station topologies, i.e. parallel and series-parallel central booster stations as well as decentral booster stations. To confirm the validity of the underlying optimization models with real-world system behavior, we additionally present validation results based on experiments conducted on a modularly constructed pumping test rig. Within the models we consider layout and control decisions for different load scenarios, leading to a Deterministic Equivalent of a two-stage stochastic optimization program. We use a piecewise linearization as well as a piecewise relaxation of the pumps’ characteristics to derive mixed-integer linear models. Besides the solution with off-the-shelf solvers, we present a problem specific exact solving algorithm to improve the computation time. Focusing on the efficient exploration of the solution space, we divide the problem into smaller subproblems, which partly can be cut off in the solution process. Furthermore, we discuss the performance and applicability of the solution approaches for real buildings and analyze the technical aspects of the solutions from an engineer’s point of view, keeping in mind the economically important trade-off between investment and operation costs.