Pump System Test Instances and Electronical Pump Catalogues

This dataset contains relevant information for planning pump systems. This includes (i) the description of different test cases and their boundary conditions. It comprises (a) the pump system of an industrial cooling circuit and (b) several booster stations for different buildings as well as a test rig. These data are available as two .json files. Furthermore, (ii) electronic pump catalogues are provided. Standardised chemical pumps, pumps for booster stations of high-rise buildings and the pumps of the test rig including suitable frequency converters are described. The description includes the pump types, their characteristic curves and possible purchase prices. A total of 296 different pump types are specified. These data are available as three .csv files. The file ReadMe.md explains the data in more detail, especially the meaning of the individual columns of the .csv files. The data can be used to evaluate planning methods - especially algorithmically supported methods. For the mathematical optimisation of pump systems, the data of the cooling circuit and the standardised chemical pumps have been used in publication [2] and [3] and the data of the buildings and the test rig have been used in publications [1] and [2]. Further information on the pumps and test cases can be found in these publications. References: [1] - Tim M. Müller, Philipp Leise, Imke-Sophie Lorenz, Lena C. Altherr and Peter F. Pelz: Optimization and validation of pumping system design and operation for water supply in high-rise buildings. In: Optimization and Engineering 22.2 (2021), S. 643–686, DOI: https://doi.org/10.1007/s11081-020-09553-4. [2] - Tim M. Müller: Algorithmisch gestützte Planung dezentraler Pumpensysteme, PhD-Thesis, Technical University of Darmstadt, in preparation. [3] - Tim M. Müller, Jannik Neumann, Marvin M. Meck und Peter F. Pelz: Sustainable Cooling Cycles by Algorithmically Supported Design of Decentral Pumping Systems. Under Review in Applied Thermal Engineering (2022).