Optimizing HVAC Systems for Energy Efficiency and Comfort: A Scalable and Robust Multi-Zone Control Approach with Uncertainty Considerations-Reference-Cited by-同舟云学术

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Optimizing HVAC Systems for Energy Efficiency and Comfort: A Scalable and Robust Multi-Zone Control Approach with Uncertainty Considerations

Published:2024-01-25 Issue: Volume:54 Page:987-995
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Xiong Ruoxin¹²³¹³,Jing Haoming¹²³¹³,Li Mengmou¹²³¹³,Shi Ying¹²³¹³,Miki Taya¹²³¹³,Hatanaka Takeshi¹²³¹³,Nakahira Yorie¹²³¹³,Tang Pingbo¹²³¹³

Affiliation:

1. Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA.

2. Dept. of Electrical and Computer Engineering, Carnegie Mellon Univ., Pittsburgh, PA.

3. Dept. of Systems and Control Engineering, Tokyo Institute of Technology.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485248.118

Reference15 articles.

1. Theory and applications of HVAC control systems – A review of model predictive control (MPC)

2. Thermal comfort modeling when personalized comfort systems are in use: Comparison of sensing and learning methods

3. A Resistance-Capacitance Network Model for the Analysis of The Interactions Between the Energy Performance of Buildings and the Urban Climate;Bueno B.;Build Environ,2012

4. A personalized measure of thermal comfort for building controls

5. Stochastic Linear Model Predictive Control with Chance Constraints – A review;Farina M.;J Process Control,2016

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