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

A Afram, F Janabi-Sharifi - Building and Environment, 2014 - Elsevier
This work presents a literature review of control methods, with an emphasis on the theory
and applications of model predictive control (MPC) for heating, ventilation, and air …

[HTML][HTML] Review of control techniques for HVAC systems—Nonlinearity approaches based on Fuzzy cognitive maps

F Behrooz, N Mariun, MH Marhaban, MA Mohd Radzi… - Energies, 2018 - mdpi.com
Heating, Ventilating, and Air Conditioning (HVAC) systems are the major energy-consuming
devices in buildings. Nowadays, due to the high demand for HVAC system installation in …

[HTML][HTML] A long-short term memory recurrent neural network based reinforcement learning controller for office heating ventilation and air conditioning systems

Y Wang, K Velswamy, B Huang - Processes, 2017 - mdpi.com
Energy optimization in buildings by controlling the Heating Ventilation and Air Conditioning
(HVAC) system is being researched extensively. In this paper, a model-free actor-critic …

Toward self‐driving processes: A deep reinforcement learning approach to control

S Spielberg, A Tulsyan, NP Lawrence… - AIChE …, 2019 - Wiley Online Library
Advanced model‐based controllers are well established in process industries. However,
such controllers require regular maintenance to maintain acceptable performance. It is a …

Black-box modeling of residential HVAC system and comparison of gray-box and black-box modeling methods

A Afram, F Janabi-Sharifi - Energy and Buildings, 2015 - Elsevier
In this article, black-box models of the residential heating, ventilation and air conditioning
(HVAC) system are developed. The data of the input and output of the system is measured …

Virtual hardware-in-the-loop FMU co-simulation based digital twins for heating, ventilation, and air-conditioning (HVAC) systems

S Abrazeh, SR Mohseni, MJ Zeitouni… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
In this paper, a novel self-adaptive control method based on a digital twin is developed and
investigated for a multi-input multi-output (MIMO) nonlinear system, which is a heating …

[HTML][HTML] Artificial intelligence (AI)-based occupant-centric heating ventilation and air conditioning (HVAC) control system for multi-zone commercial buildings

A Yayla, KS Świerczewska, M Kaya, B Karaca… - Sustainability, 2022 - mdpi.com
Buildings are responsible for almost half of the world's energy consumption, and
approximately 40% of total building energy is consumed by the heating ventilation and air …

MPC control for improving energy efficiency of a building air handler for multi-zone VAVs

W Liang, R Quinte, X Jia, JQ Sun - Building and Environment, 2015 - Elsevier
The performance and energy saving of building heating, ventilation, and air conditioning
(HVAC) systems can be significantly improved by the implementation of intelligent and …

A state of art review on methodologies for control strategies in low energy buildings in the period from 2006 to 2016

Y Wang, J Kuckelkorn, Y Liu - Energy and Buildings, 2017 - Elsevier
Building sector accounts for significant portion of total final energy use in most countries.
One way to reduce significantly building energy consumption is to adopt energy efficiency …

Deep reinforcement learning for process control: A primer for beginners

S Spielberg, A Tulsyan, NP Lawrence… - arXiv preprint arXiv …, 2020 - arxiv.org
Advanced model-based controllers are well established in process industries. However,
such controllers require regular maintenance to maintain acceptable performance. It is a …