Review of modeling methods for HVAC systems

A Afram, F Janabi-Sharifi - Applied thermal engineering, 2014 - Elsevier
This work presents the literature review of the methods used to model the heating,
ventilation, and air conditioning (HVAC) systems. The model development is necessary for …

Optimal real-time energy management in apartment building integrating microgrid with multizone HVAC control

E Rezaei, H Dagdougui - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Today, distribution systems are presently transforming from a demand-driven to an active
asset-driven activity, portrayed by expanding measures of decentralized generation units …

Study on the application of reinforcement learning in the operation optimization of HVAC system

X Yuan, Y Pan, J Yang, W Wang, Z Huang - Building Simulation, 2021 - Springer
Supervisory control can be used to optimize the HVAC system operation and achieve
building energy conservation, while reinforcement learning (RL) is considered as a …

Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons

N Alibabaei, AS Fung, K Raahemifar, A Moghimi - Applied Energy, 2017 - Elsevier
Based on their structure, residential houses/buildings (RHs) can offer excellent opportunities
for managing their internal energy demand and subsequently lowering their energy cost …

Development of Matlab-TRNSYS co-simulator for applying predictive strategy planning models on residential house HVAC system

N Alibabaei, AS Fung, K Raahemifar - Energy and Buildings, 2016 - Elsevier
Building energy simulators such as TRNSYS, EnergyPlus, and Esp-r offer an excellent
opportunity for detailed design of house thermal model and its Heating, Ventilating, and Air …

Real-time optimal control of HVAC systems: Model accuracy and optimization reward

J Hou, X Li, H Wan, Q Sun, K Dong, G Huang - Journal of Building …, 2022 - Elsevier
Real-time optimal control is considered as an efficient tool to improve the energy efficiency
of heating, ventilation, and air-conditioning (HVAC) systems. It minimizes the energy …

Machine learning vs. hybrid machine learning model for optimal operation of a chiller

SH Park, KU Ahn, S Hwang, S Choi… - Science and Technology …, 2019 - Taylor & Francis
This article compares two modeling approaches for optimal operation of a turbo chiller
installed in an office building:(1) a machine learning model developed with artificial neural …

Indoor air quality control of HVAC system

J Li, J Wall, G Platt - … of the 2010 International Conference on …, 2010 - ieeexplore.ieee.org
Reliable and optimal monitoring and control of ventilation system are essential for a heating,
ventilation and air conditioning (HVAC) system to maintain adequate indoor air quality with …

Near-optimal order-reduced control for A/C (air-conditioning) system of EVs (electric vehicles)

CC Chiu, NC Tsai, CC Lin - Energy, 2014 - Elsevier
This work is aimed to investigate the regulation problem for thermal comfortableness and
propose control strategies for cabin environment of EVs (electric vehicles) by constructing a …

Power decomposition based on SVM regression

J Li, S West, G Platt - 2012 proceedings of international …, 2012 - ieeexplore.ieee.org
For more efficient energy consumption, it is crucial to have accurate information on how
power is being consumed through a single power measurement. It benefits both market …