![]() ![]() Afterward, we study another three cases that are deemed more realistic. Then, we verify the implementation using two case studies involving an isothermal and a non-isothermal flow by comparing model simulations to experiment data. We first introduce the data synchronization strategy and implementation in Modelica. ![]() To improve the computational efficiency, we incorporated a simplified CFD model named fast fluid dynamics (FFD). This paper more » tries to fill the gap by integrating the models for HVAC systems with coupled multizone and CFD simulations for airflows, using the Modelica simulation platform. While significant, most of these analyses did not consider the coupled simulation of the building airflow with the building’s Heating, Ventilation, and Air-Conditioning (HVAC) systems. Previous research has mainly focused on coupling CFD models and multizone models to study airflow in large spaces. In specific rooms where this assumption fails, the use of computational fluid dynamics (CFD) models may be an alternative option. However, multizone models assume that the air in a room is well mixed, consequently limiting their application. Multizone models are widely used in building airflow and energy performance simulations due to their fast computing speed. Finally, we discuss further research needs on the coupled simulation using the models. This is done by attaching a variable air volume (VAV) terminal box and a VAV system to previous flows to assess the capability of the models in studying the dynamic control of HVAC systems. This more » paper tries to fill the gap by integrating the models for HVAC systems with coupled multizone and CFD simulations for airflows, using the Modelica simul ation platform. While significant, most of these analyses did not consider the coupled simulation of the building airflow with the building's Heating, Ventilation, and Air-Conditioning (HVAC) systems. ![]() Historically, multizone models are widely used in building airflow and energy performance simulations due to their fast computing speed. Journal ID: ISSN 1940-1493 Publisher: Taylor & Francis Country of Publication: United States Language: English Subject: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION 42 ENGINEERING FFD Modelica coupled simulation building energy = , Building Technologies Office OSTI Identifier: 1439201 Grant/Contract Number: AC02-05CH11231 Resource Type: Accepted Manuscript Journal Name: Journal of Building Performance Simulation Additional Journal Information: Journal Volume: 9 Journal Issue: 4 Related Information: © 2015 International Building Performance Simulation Association (IBPSA). (LBNL), Berkeley, CA (United States) Sponsoring Org.: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Publication Date: Mon Jul 13 00:00: Research Org.: Lawrence Berkeley National Lab. Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering School of Mechanical Engineering Tianjin University (China).
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