A review of Modelica language in building and energy: Development, applications, and future prospect

K Qiu, J Yang, Z Gao, F Xu - Energy and Buildings, 2024 - Elsevier
The Modelica language, develo** from version 1.0 in 1997 to the current version 3.1, has
become the preferred language for system simulation. Its advantages focus on high-level …

Deep reinforcement learning optimal control strategy for temperature setpoint real-time reset in multi-zone building HVAC system

X Fang, G Gong, G Li, L Chun, P Peng, W Li… - Applied Thermal …, 2022 - Elsevier
Determining a proper trade-off between energy consumption and indoor thermal comfort is
important for HVAC system control. Deep Q-learning (DQN) based multi-objective optimal …

Cross temporal-spatial transferability investigation of deep reinforcement learning control strategy in the building HVAC system level

X Fang, G Gong, G Li, L Chun, P Peng, W Li, X Shi - Energy, 2023 - Elsevier
Abstract Model free based DRL control strategies have achieved positive effects on the
HVAC system optimal control. However, develo** deep reinforcement learning (DRL) …

Experimental study on performance assessments of HVAC cross-domain fault diagnosis methods oriented to incomplete data problems

Q Zhang, Z Tian, Y Lu, J Niu, C Ye - Building and Environment, 2023 - Elsevier
The cross-domain fault diagnosis (CDFD) method can provide accurate fault diagnosis
models for HVAC systems in the case of incomplete labeled data. However, the relationship …

A holistic fault impact analysis of the high-performance sequences of operation for HVAC systems: Modelica-based case study in a medium-office building

X Lu, Y Fu, Z O'Neill, J Wen - Energy and Buildings, 2021 - Elsevier
ASHRAE Guideline 36: High-performance sequences of operation (SOO) for Heating,
Ventilation, and Air-conditioning (HVAC) Systems has been demonstrated to save 17%-30 …

[HTML][HTML] Assessment of HVAC system operational fault impacts and multiple faults interactions under climate change

F Zhong, JK Calautit, Y Wu - Energy, 2022 - Elsevier
The effect of climate change on heating, ventilation and airconditioning (HVAC) system
performances has become prominent, and HVAC fault impacts may also vary with climate …

A study on transfer learning in enhancing performance of building energy system fault diagnosis with extremely limited labeled data

Q Zhang, Z Tian, J Niu, J Zhu, Y Lu - Building and Environment, 2022 - Elsevier
Transfer learning has been proved to be a feasible way to ensure that the data-driven fault
diagnosis model for building energy system still has good diagnostic performance with …

Investigation of HVAC operation strategies for office buildings during COVID-19 pandemic

CA Faulkner, JE Castellini Jr, W Zuo… - Building and …, 2022 - Elsevier
To minimize the indoor transmission of contaminants, such as the virus that can lead to
COVID-19, buildings must provide the best indoor air quality possible. Improving indoor air …

Performance simulation and energy efficiency analysis of multi-energy complementary HVAC system based on TRNSYS

X Wang, T Li, Y Yu, Q Liu, L Shi, J **a, Q Mao - Applied Thermal …, 2024 - Elsevier
The failure rate and operating cost of the CB (chiller-gas boiler) system, which has been in
use for a long time, are increasing year by year, but there is a lack of reasonable programs …

Research on designated calibration method of fault sensor in photovoltaic thermal heat pump system based on fault detection and virtual calibration

P Wang, C Li, MN Hossain, S Yoon, L Zhao… - Journal of Building …, 2023 - Elsevier
With the increasingly serious global energy problem, clean energy sources such as solar
energy have become the mainstream focus of development. Among these, solar …