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Title: An Optimization Platform Based on Coupled Indoor Environment and HVAC Simulation and its Application in Optimal Thermostat Placement

Abstract

Model-based optimization can help improve the indoor thermal comfort and energy efficiency of Heating, Ventilation and Air Conditioning (HVAC) systems. The models used in previous optimization studies either omit the dynamic interaction between indoor airflow and HVAC or are too slow for model-based optimization. To address this limitation, we propose an optimization methodology using coupled simulation of the airflow and HVAC that captures the dynamics of both systems. We implement an optimization platform using the coupled models of a coarse grid Fast Fluid Dynamics model for indoor airflow and Modelica models for HVAC which is linked to the GenOpt optimization engine. Then, we demonstrate the new optimization platform by studying the optimal thermostat placement in a typical office room with a VAV terminal box in the design phase. After validating the model, we perform an optimization study, in which the VAV terminal box is dynamically controlled, and find that our optimization platform can determine the optimal location of thermostat to achieve either best thermal comfort or least energy consumption, or the combined. Finally, the time cost for performing such optimization study is about 6.2 h, which is acceptable in the design phase.

Authors:
 [1];  [2]; ORCiD logo [3];  [4];  [2];  [5]
  1. University of Miami
  2. University of Colorado
  3. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  4. Tongji University
  5. Emerson Automation Solutions
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1545256
Report Number(s):
NREL/JA-5500-74407
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Energy and Buildings
Additional Journal Information:
Journal Volume: 199
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; FFD; Modelica; coupled simulation; optimization; thermostat placement

Citation Formats

Tian, Wei, Han, Xu, Zuo, Wangda, Wang, Qiujian, Fu, Yangyang, and Jin, Mingang. An Optimization Platform Based on Coupled Indoor Environment and HVAC Simulation and its Application in Optimal Thermostat Placement. United States: N. p., 2019. Web. doi:10.1016/j.enbuild.2019.07.002.
Tian, Wei, Han, Xu, Zuo, Wangda, Wang, Qiujian, Fu, Yangyang, & Jin, Mingang. An Optimization Platform Based on Coupled Indoor Environment and HVAC Simulation and its Application in Optimal Thermostat Placement. United States. doi:10.1016/j.enbuild.2019.07.002.
Tian, Wei, Han, Xu, Zuo, Wangda, Wang, Qiujian, Fu, Yangyang, and Jin, Mingang. Tue . "An Optimization Platform Based on Coupled Indoor Environment and HVAC Simulation and its Application in Optimal Thermostat Placement". United States. doi:10.1016/j.enbuild.2019.07.002.
@article{osti_1545256,
title = {An Optimization Platform Based on Coupled Indoor Environment and HVAC Simulation and its Application in Optimal Thermostat Placement},
author = {Tian, Wei and Han, Xu and Zuo, Wangda and Wang, Qiujian and Fu, Yangyang and Jin, Mingang},
abstractNote = {Model-based optimization can help improve the indoor thermal comfort and energy efficiency of Heating, Ventilation and Air Conditioning (HVAC) systems. The models used in previous optimization studies either omit the dynamic interaction between indoor airflow and HVAC or are too slow for model-based optimization. To address this limitation, we propose an optimization methodology using coupled simulation of the airflow and HVAC that captures the dynamics of both systems. We implement an optimization platform using the coupled models of a coarse grid Fast Fluid Dynamics model for indoor airflow and Modelica models for HVAC which is linked to the GenOpt optimization engine. Then, we demonstrate the new optimization platform by studying the optimal thermostat placement in a typical office room with a VAV terminal box in the design phase. After validating the model, we perform an optimization study, in which the VAV terminal box is dynamically controlled, and find that our optimization platform can determine the optimal location of thermostat to achieve either best thermal comfort or least energy consumption, or the combined. Finally, the time cost for performing such optimization study is about 6.2 h, which is acceptable in the design phase.},
doi = {10.1016/j.enbuild.2019.07.002},
journal = {Energy and Buildings},
number = ,
volume = 199,
place = {United States},
year = {2019},
month = {7}
}