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02 September 2017
On the efficiency of quantization-based integration methods for building simulation
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Bergero FM, Casella F, Kofman E, et al.
On the efficiency of quantization-based integration methods for building simulation.
Building Simulation,
2018, 11(2): 405-418.
https://doi.org/10.1007/s12273-017-0400-1
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Models describing energy consumption, heating, and cooling of buildings usually impose difficulties to the numerical integration algorithms used to simulate them. Stiffness and the presence of frequent discontinuities are among the main causes of those difficulties, that become critical when the models grow in size. Quantized State Systems (QSS) methods are a family of numerical integration algorithms that can efficiently handle discontinuities and stiffness in large models. For this reason, they are promising candidates for overcoming the mentioned problems. Based on this observation, this article studies the performance of QSS methods in some systems that are relevant to the field of building simulation. The study includes a performance comparison of different QSS algorithms against state-of-the-art classic numerical solvers, showing that the former can be more than one order of magnitude faster.
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On the efficiency of quantization-based integration methods for building simulation
Abstract
Models describing energy consumption, heating, and cooling of buildings usually impose difficulties to the numerical integration algorithms used to simulate them. Stiffness and the presence of frequent discontinuities are among the main causes of those difficulties, that become critical when the models grow in size. Quantized State Systems (QSS) methods are a family of numerical integration algorithms that can efficiently handle discontinuities and stiffness in large models. For this reason, they are promising candidates for overcoming the mentioned problems. Based on this observation, this article studies the performance of QSS methods in some systems that are relevant to the field of building simulation. The study includes a performance comparison of different QSS algorithms against state-of-the-art classic numerical solvers, showing that the former can be more than one order of magnitude faster.
Keywords:
building simulation, quantized state systems, HVAC, large scale system, hybrid models
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Publication history
Copyright
Publication history
Received: 24 January 2017
Revised: 03 July 2017
Accepted: 10 July 2017
Published:
02 September 2017
Issue date: April 2018
Copyright
© Tsinghua University Press and Springer-Verlag GmbH Germany 2017
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