An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations

Thibault Marzullo; Marcus Keane; Marco Geron; Rory F.D. Monaghan

An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations

Thibault Marzullo, Marcus Keane, Marco Geron, Rory F.D. Monaghan

School of Mechanical and Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

The present study compares the accuracy and time to solution of three different algorithms used in automatic Reduced-Order Model (ROM) generation. This is part of an effort to develop a systematic tool chain for automatically extracting accurate ROMs from Computational Fluid Dynamics (CFD) simulations for use in the design and operation of near-zero energy buildings, with a higher accuracy than traditional zonal models but at a fraction of the computational cost of CFD. The results show that the Mean Values Segmentation (MVS) method is preferable to Coarse Grid Interpolation (CGI) and Classic Watershed (CW) for this application. Furthermore, it is possible to generate accurate models with mean absolute errors for temperature distributions as low as 0.3 K that can be generated in less than 70 seconds and solved in less than 1 second. Further work is needed to develop the flexibility of the tool chain to solve for Boundary Conditions (BC) different from the initial CFD BC’s. This will allow the generation of multiple ROMs from a reduced set of CFD simulations, allowing to accurately simulate indoor thermal conditions at low computational costs.

Original language	English
Title of host publication	Proceedings of the International Building Performance Simulation Association: Building Simulation and Optimization 2018 Emmanuel College, University of Cambridge, 11-12 September 2018
Publisher	IBPSA
Number of pages	5
Publication status	Early online date - 12 Sept 2018
Event	Building Simulation and Optimization - Emmanuel College, University of Cambridge, Cambridge, United Kingdom Duration: 11 Sept 2018 → 12 Sept 2018 https://www.bso2018.event.cam.ac.uk/

Conference

Conference	Building Simulation and Optimization
Abbreviated title	BSO18
Country/Territory	United Kingdom
City	Cambridge
Period	11/09/2018 → 12/09/2018
Internet address	https://www.bso2018.event.cam.ac.uk/

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An Evaluation of Computational Algorithms in the Automatic Generation of Zonal ReducedOrder Models from CFD Simulations
Copyright 2018 The Authors. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
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Marzullo, T., Keane, M., Geron, M., & Monaghan, R. F. D. (2018). An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations. In Proceedings of the International Building Performance Simulation Association: Building Simulation and Optimization 2018 Emmanuel College, University of Cambridge, 11-12 September 2018 IBPSA . Advance online publication. https://www.bso2018.event.cam.ac.uk/

Marzullo, Thibault ; Keane, Marcus ; Geron, Marco et al. / An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations. Proceedings of the International Building Performance Simulation Association: Building Simulation and Optimization 2018 Emmanuel College, University of Cambridge, 11-12 September 2018. IBPSA , 2018.

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abstract = "The present study compares the accuracy and time to solution of three different algorithms used in automatic Reduced-Order Model (ROM) generation. This is part of an effort to develop a systematic tool chain for automatically extracting accurate ROMs from Computational Fluid Dynamics (CFD) simulations for use in the design and operation of near-zero energy buildings, with a higher accuracy than traditional zonal models but at a fraction of the computational cost of CFD. The results show that the Mean Values Segmentation (MVS) method is preferable to Coarse Grid Interpolation (CGI) and Classic Watershed (CW) for this application. Furthermore, it is possible to generate accurate models with mean absolute errors for temperature distributions as low as 0.3 K that can be generated in less than 70 seconds and solved in less than 1 second. Further work is needed to develop the flexibility of the tool chain to solve for Boundary Conditions (BC) different from the initial CFD BC{\textquoteright}s. This will allow the generation of multiple ROMs from a reduced set of CFD simulations, allowing to accurately simulate indoor thermal conditions at low computational costs.",

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Marzullo, T, Keane, M, Geron, M & Monaghan, RFD 2018, An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations. in Proceedings of the International Building Performance Simulation Association: Building Simulation and Optimization 2018 Emmanuel College, University of Cambridge, 11-12 September 2018. IBPSA , Building Simulation and Optimization, Cambridge, United Kingdom, 11/09/2018. <https://www.bso2018.event.cam.ac.uk/>

An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations. / Marzullo, Thibault; Keane, Marcus; Geron, Marco et al.
Proceedings of the International Building Performance Simulation Association: Building Simulation and Optimization 2018 Emmanuel College, University of Cambridge, 11-12 September 2018. IBPSA , 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations

AU - Marzullo, Thibault

AU - Keane, Marcus

AU - Geron, Marco

AU - Monaghan, Rory F.D.

PY - 2018/9/12

Y1 - 2018/9/12

N2 - The present study compares the accuracy and time to solution of three different algorithms used in automatic Reduced-Order Model (ROM) generation. This is part of an effort to develop a systematic tool chain for automatically extracting accurate ROMs from Computational Fluid Dynamics (CFD) simulations for use in the design and operation of near-zero energy buildings, with a higher accuracy than traditional zonal models but at a fraction of the computational cost of CFD. The results show that the Mean Values Segmentation (MVS) method is preferable to Coarse Grid Interpolation (CGI) and Classic Watershed (CW) for this application. Furthermore, it is possible to generate accurate models with mean absolute errors for temperature distributions as low as 0.3 K that can be generated in less than 70 seconds and solved in less than 1 second. Further work is needed to develop the flexibility of the tool chain to solve for Boundary Conditions (BC) different from the initial CFD BC’s. This will allow the generation of multiple ROMs from a reduced set of CFD simulations, allowing to accurately simulate indoor thermal conditions at low computational costs.

AB - The present study compares the accuracy and time to solution of three different algorithms used in automatic Reduced-Order Model (ROM) generation. This is part of an effort to develop a systematic tool chain for automatically extracting accurate ROMs from Computational Fluid Dynamics (CFD) simulations for use in the design and operation of near-zero energy buildings, with a higher accuracy than traditional zonal models but at a fraction of the computational cost of CFD. The results show that the Mean Values Segmentation (MVS) method is preferable to Coarse Grid Interpolation (CGI) and Classic Watershed (CW) for this application. Furthermore, it is possible to generate accurate models with mean absolute errors for temperature distributions as low as 0.3 K that can be generated in less than 70 seconds and solved in less than 1 second. Further work is needed to develop the flexibility of the tool chain to solve for Boundary Conditions (BC) different from the initial CFD BC’s. This will allow the generation of multiple ROMs from a reduced set of CFD simulations, allowing to accurately simulate indoor thermal conditions at low computational costs.

M3 - Conference contribution

BT - Proceedings of the International Building Performance Simulation Association: Building Simulation and Optimization 2018 Emmanuel College, University of Cambridge, 11-12 September 2018

PB - IBPSA

T2 - Building Simulation and Optimization

Y2 - 11 September 2018 through 12 September 2018

ER -

Marzullo T, Keane M, Geron M, Monaghan RFD. An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations. In Proceedings of the International Building Performance Simulation Association: Building Simulation and Optimization 2018 Emmanuel College, University of Cambridge, 11-12 September 2018. IBPSA . 2018 Epub 2018 Sept 12.

An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations

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