Model-based adaptive controller for personalized ventilation and thermal comfort in naturally ventilated spaces

被引：0
作者：
Dalia Ghaddar
Mariam Itani
Nesreen Ghaddar
Kamel Ghali
Joseph Zeaiter
机构：
[1] American University of Beirut,Mechanical Engineering Department
[2] Phoenicia University,Mechanical Engineering Department
[3] American University of Beirut,Bahaa and Walid Bassatne Department of Chemical Engineering and Advanced Energy
来源：
Building Simulation | 2021年 / 14卷
关键词：
adaptive PID controller; personalized ventilation; natural ventilation; thermal comfort;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This work develops a standalone autonomously controlled personalized ventilation (PV) unit in a naturally ventilated (NV) office space to maintain acceptable thermal comfort (TC) under steady and transient indoor conditions and activity levels. The NV-PV proportional integral derivative (PID) controller adjusts the PV supply temperature (TSPV) at the occupant set flow rate (QSPV) based on predicted TC using a regression model. The target TC level that the controller attains at all times is between 0 (neutral) and 1 (slightly comfortable). Process transfer functions were developed and then used to find the adaptive PID tuning coefficients using the Internal Model Control (IMC) method. The controller was tested in a case study at indoor temperature range of 25 to 33 °C with relative humidity range of 55% and 80%. It was shown that the NV-PV controller adjusted TSPV to maintain acceptable TC under transients of indoor conditions and metabolic rates.
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页码：1757 / 1771
页数：14
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  • [1] Al Assaad D(2019)Effect of flow disturbance induced by walking on the performance of personalized ventilation coupled with mixing ventilation Building and Environment 160 106217-5533
  • [2] Ghali K(2008)A multi-segmented human bioheat model for transient and asymmetric radiative environments International Journal of Heat and Mass Transfer 51 5522-1013
  • [3] Ghaddar N(2020)Qualitative evaluation of the flow supplied by personalized ventilation using schlieren imaging and thermography Building and Environment 167 106450-2106
  • [4] Al-Othmani M(2020)User-centered environmental control: a review of current findings on personal conditioning systems and personal comfort models Energy and Buildings 222 110011-10
  • [5] Ghaddar N(2016)Natural ventilation in Beirut residential buildings for extended comfort hours International Journal of Sustainable Energy 35 996-47
  • [6] Ghali K(1991)Linear and nonlinear characteristics of oxygen uptake kinetics during heavy exercise Journal of Applied Physiology 71 2099-11
  • [7] Alsaad H(2017)A pilot study of online non-invasive measuring technology based on video magnification to determine skin temperature Building and Environment 121 1-561
  • [8] Voelker C(2019)A contactless measuring method of skin temperature based on the skin sensitivity index and deep learning Applied Sciences 9 1375-148
  • [9] André M(2018)Thermal comfort modeling in transient conditions using real-time local body temperature extraction with a thermographic camera Building and Environment 143 36-14
  • [10] de Vecchi R(2011)A personalized measure of thermal comfort for building controls Building and Environment 46 3-73
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