An optimization platform based on coupled indoor environment and HVAC simulation and its application in optimal thermostat placement
| Autor: | Mingang Jin, Qiujian Wang, Xu Han, Wangda Zuo, Wei Tian, Yangyang Fu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science 020209 energy Mechanical Engineering Airflow 0211 other engineering and technologies Thermal comfort Control engineering 02 engineering and technology Building and Construction Energy consumption Thermostat Modelica law.invention law Air conditioning 021105 building & construction HVAC 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering business Civil and Structural Engineering Efficient energy use |
| Zdroj: | Energy and Buildings. 199:342-351 |
| ISSN: | 0378-7788 |
| DOI: | 10.1016/j.enbuild.2019.07.002 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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