Abstract
To increase pressure to supply all floors of high buildings with water, booster stations, normally consisting of several parallel pumps in the basement, are used. In this work, we demonstrate the potential of a decentralized pump topology regarding energy savings in water supply systems of skyscrapers. We present an approach, based on Mixed-Integer Nonlinear Programming, that allows to choose an optimal network topology and optimal pumps from a predefined construction kit comprising different pump types. Using domain-specific scaling laws and Latin Hypercube Sampling, we generate different input sets of pump types and compare their impact on the efficiency and cost of the total system design. As a realistic application example, we consider a hotel building with 325 rooms, 12 floors and up to four pressure zones.
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Acknowledgment
This research was supported by the German Research Foundation (DFG) as part of the Collaborative Research Center 805 “Control of Uncertainties in Load-Carrying Structures in Mechanical Engineering”.
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Leise, P., Altherr, L.C. (2019). Optimizing the Design and Control of Decentralized Water Supply Systems – A Case-Study of a Hotel Building. In: Rodrigues, H., et al. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-97773-7_107
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DOI: https://doi.org/10.1007/978-3-319-97773-7_107
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