Coupling indoor airflow, HVAC, control and building envelope heat transfer in the Modelica Buildings library

Zuo, Wangda; Wetter, Michael; Tian, Wei; Li, Dan; Jin, Mingang; Chen, Qingyan

doi:10.1080/19401493.2015.1062557

Coupling indoor airflow, HVAC, control and building envelope heat transfer in the Modelica Buildings library

Journal Article · Mon Jul 13 00:00:00 EDT 2015 · Journal of Building Performance Simulation

DOI:https://doi.org/10.1080/19401493.2015.1062557· OSTI ID:1439201

Zuo, Wangda ^[1]; Wetter, Michael ^[2]; Tian, Wei ^[1]; Li, Dan ^[1]; Jin, Mingang ^[3]; Chen, Qingyan ^[4]

University of Miami, Coral Gables, FL (United States). Department of Civil, Architectural and Environmental Engineering
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Building Technology and Urban Systems Division
Purdue Univ., West Lafayette, IN (United States). School of Mechanical Engineering
Purdue Univ., West Lafayette, IN (United States). School of Mechanical Engineering; Tianjin University (China). Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering

Here, this paper describes a coupled dynamic simulation of an indoor environment with heating, ventilation, and air conditioning (HVAC) systems, controls and building envelope heat transfer. The coupled simulation can be used for the design and control of ventilation systems with stratified air distributions. Those systems are commonly used to reduce building energy consumption while improving the indoor environment quality. The indoor environment was simulated using the fast fluid dynamics (FFD) simulation programme. The building fabric heat transfer, HVAC and control system were modelled using the Modelica Buildings library. After presenting the concept, the mathematical algorithm and the implementation of the coupled simulation were introduced. The coupled FFD–Modelica simulation was then evaluated using three examples of room ventilation with complex flow distributions with and without feedback control. Lastly, further research and development needs were also discussed.

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1439201

Journal Information:: Journal of Building Performance Simulation, Journal Name: Journal of Building Performance Simulation Journal Issue: 4 Vol. 9; ISSN 1940-1493

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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Intelligent co-simulation: neural network vs. proper orthogonal decomposition applied to a 2D diffusive problem Berger, Julien; Mazuroski, Walter; Oliveira, Ricardo C. L. F. Journal of Building Performance Simulation, Vol. 11, Issue 5 https://doi.org/10.1080/19401493.2017.1414879	journal	December 2017
An artificial intelligence-based method to efficiently bring CFD to building simulation Mazuroski, Walter; Berger, Julien; Oliveira, Ricardo C. L. F. Journal of Building Performance Simulation, Vol. 11, Issue 5 https://doi.org/10.1080/19401493.2017.1414880	journal	December 2017
Model implementation and verification of the envelope, HVAC and controller of an office building in Modelica Jorissen, F.; Boydens, W.; Helsen, L. Journal of Building Performance Simulation, Vol. 12, Issue 4 https://doi.org/10.1080/19401493.2018.1544277	journal	December 2018
Quantifying Impacts of Urban Microclimate on a Building Energy Consumption—A Case Study Liu, Jiying; Heidarinejad, Mohammad; Nikkho, Saber Khoshdel Sustainability, Vol. 11, Issue 18 https://doi.org/10.3390/su11184921	journal	September 2019
Model implementation and verification of the envelope, HVAC and controller of an office building in Modelica Jorissen, F.; Boydens, W.; Helsen, L. Taylor & Francis https://doi.org/10.6084/m9.figshare.7441316	text	January 2018
Model implementation and verification of the envelope, HVAC and controller of an office building in Modelica Jorissen, F.; Boydens, W.; Helsen, L. Taylor & Francis https://doi.org/10.6084/m9.figshare.7441316.v2	text	January 2018

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
42 ENGINEERING
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building energy simulation
coupled simulation

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