Abstract
Cooling as well as heating circuits can be modeled as a network of elements that obey mass, momentum, and energy balance laws. Typical elements in such circuits are pipes, regulated pumps, regulated (multi-way) valves, and energy exchangers. Since cooling or heating can need a lot of energy, one is interested in understanding, reducing, and re-using energy flows. Supercomputing centers provide one important class of applications here. This article provides a detailed case study of a real system for which measurements and technical data are available. We briefly discuss our overall MYNTS framework for modeling, simulation, and optimization of such circuits. In more detail, we explain by means of a case study how we obtain and combine the network topology, element characteristics, and measurement data in order to set up and validate simulation models. Numerical results are presented and discussed. The case study is complemented in Clees et al. (Cooling Circuit Simulation I: Modeling. Springer, Berlin, 2017) (see pages 61–79 in this book) by a general introduction to the underlying physical model and its numerical treatment.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
K. Cassirer, T. Clees, B. Klaassen, I. Nikitin, L. Nikitina, MYNTS User’s Manual, Release 3.7. Fraunhofer SCAI, Sankt Augustin (2015). http://www.scai.fraunhofer.de/mynts
T. Clees, MYNTS – Ein neuer multiphysikalischer Simulator für Gas, Wasser und elektrische Netze. Energ. Wasser Prax. 09, 174–175 (2012)
T. Clees, N. Hornung, I. Nikitin, L. Nikitina, D. Steffes-Lai, DesParO User’s Manual, Release 2.4. Fraunhofer SCAI, Sankt Augustin (2014). http://www.scai.fraunhofer.de/desparo
T. Clees, N. Hornung, È.L. Alvarez et al., Cooling Circuit Simulation I: Modeling In: (Springer, Berlin, 2017)
D.M. Gay, Writing.nl files, in Optimization and Uncertainty Estimation (Sandia National Laboratories, Albuquerque, 2005)
S. Grundel, N. Hornung, B. Klaassen, P. Benner, T. Clees, Computing surrogates for gas network simulation using model order reduction, in Surrogate-Based Modeling and Optimization, ed. by S. Koziel, L. Leifsson (Springer, New York, 2013), pp. 189–212
H. Shoukourian, T. Wilde, A. Auweter, A. Bode, Monitoring power data: a first step towards a unified energy efficiency evaluation toolset for HPC data centers. Environ. Model. Softw. 56, 13–26 (2014). Thematic issue on modelling and evaluating the sustainability of smart solutions
A. Wächter, L.T. Biegler, On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math. Program. 106, 25–57 (2006)
T. Wilde, T. Clees, N. Hornung et al., Increasing data center energy efficiency via simulation and optimization of cooling circuits – a practical approach, in Energy Informatics, 4th D-A-CH Conference, Proceedings, ed. by S. Gottwalt, L. König, H. Schmeck. Information Systems and Applications, vol. 9424. Internet/Web, and HCI, Karlsruhe (Springer, Berlin, 2015), pp. 208 ff
Acknowledgements
Work reported in this publication has received funding from the German Federal Ministry of Education and Research (BMBF) under grant agreement no. 01IH13007A/B (SIMOPEK project).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Clees, T. et al. (2017). Cooling Circuit Simulation II: A Numerical Example. In: Griebel, M., Schüller, A., Schweitzer, M. (eds) Scientific Computing and Algorithms in Industrial Simulations. Springer, Cham. https://doi.org/10.1007/978-3-319-62458-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-62458-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62457-0
Online ISBN: 978-3-319-62458-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)