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 …

Computational intelligence techniques for HVAC systems: A review

MW Ahmad, M Mourshed, B Yuce, Y Rezgui - Building Simulation, 2016 - Springer
Buildings are responsible for 40% of global energy use and contribute towards 30% of the
total CO2 emissions. The drive to reduce energy use and associated greenhouse gas …

Deep clustering of Lagrangian trajectory for multi-task learning to energy saving in intelligent buildings using cooperative multi-agent

RZ Homod, HI Mohammed, A Abderrahmane, OA Alawi… - Applied Energy, 2023 - Elsevier
The intelligent buildings provided various incentives to get highly inefficient energy-saving
caused by the non-stationary building environments. In the presence of such dynamic …

Effect of different building envelope materials on thermal comfort and air-conditioning energy savings: A case study in Basra city, Iraq

RZ Homod, A Almusaed, A Almssad, MK Jaafar… - Journal of Energy …, 2021 - Elsevier
Recently, a numerous number of houses has been built using AAC materials, which
consume the most amount of energy in the building sector by Heating, ventilation, and air …

A review of recent developments and technological advancements of variable-air-volume (VAV) air-conditioning systems

GS Okochi, Y Yao - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
This study reviewed VAV systems modeling and simulations, control strategies and
optimization tools, the airflow characteristics of VAV systems, some common VAV systems׳ …‎

Gray-box modeling and validation of residential HVAC system for control system design

A Afram, F Janabi-Sharifi - Applied Energy, 2015 - Elsevier
In this paper gray-box models of the residential heating, ventilation and air conditioning
(HVAC) system were developed. The HVAC system comprises of several subsystems such …

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 …

Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings

RZ Homod, H Togun, AK Hussein, FN Al-Mousawi… - Applied Energy, 2022 - Elsevier
The heating, ventilating and air conditioning (HVAC) systems energy demand can be
reduced by manipulating indoor conditions within the comfort range, which relates to control …

Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

RZ Homod, KS Gaeid, SM Dawood, A Hatami… - Applied Energy, 2020 - Elsevier
In some fields, such as the semiconductor manufacturing process, museum, pharmaceutical,
and medicine manufacturing industry, the HVAC system needs a very fast response time to …

Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management

RZ Homod, ZM Yaseen, AK Hussein… - Journal of Building …, 2023 - Elsevier
Chillers are responsible for almost half of the total energy demand in buildings. Hence, the
obligation of control systems of multi-chiller due to changes indoor environments is one of …