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

Journal Article · · Journal of Building Performance Simulation
 [1];  [2];  [1];  [1];  [3];  [4]
  1. University of Miami, Coral Gables, FL (United States). Department of Civil, Architectural and Environmental Engineering
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Building Technology and Urban Systems Division
  3. Purdue Univ., West Lafayette, IN (United States). School of Mechanical Engineering
  4. 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 Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1439201
Journal Information:
Journal of Building Performance Simulation, Vol. 9, Issue 4; Related Information: © 2015 International Building Performance Simulation Association (IBPSA).; ISSN 1940-1493
Publisher:
Taylor & FrancisCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 28 works
Citation information provided by
Web of Science

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Cited By (6)

Intelligent co-simulation: neural network vs. proper orthogonal decomposition applied to a 2D diffusive problem journal December 2017
An artificial intelligence-based method to efficiently bring CFD to building simulation journal December 2017
Model implementation and verification of the envelope, HVAC and controller of an office building in Modelica journal December 2018
Quantifying Impacts of Urban Microclimate on a Building Energy Consumption—A Case Study journal September 2019
Model implementation and verification of the envelope, HVAC and controller of an office building in Modelica text January 2018
Model implementation and verification of the envelope, HVAC and controller of an office building in Modelica text January 2018