Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review

S Taheri, P Hosseini, A Razban - Journal of Building Engineering, 2022 - Elsevier
Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …

A review of optimization based tools for design and control of building energy systems

KA Barber, M Krarti - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
This paper reviews applications of multi-objective optimization approaches for design,
control, and the combination of both design and control of a single element or a set of …

Multi-performance optimization of static shading devices for glare, daylight, view and energy consideration

F De Luca, A Sepúlveda, T Varjas - Building and Environment, 2022 - Elsevier
Exterior static shading devices of buildings, if correctly designed, can control sunlight and
daylight to reduce glare while guaranteeing interiors' natural illumination and connection to …

Machine learning methods in smart lighting toward achieving user comfort: a survey

AG Putrada, M Abdurohman, D Perdana… - IEEE access, 2022 - ieeexplore.ieee.org
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

Perovskite smart windows: the light manipulator in energy‐efficient buildings

S Liu, Y Du, R Zhang, H He, A Pan, TC Ho… - Advanced …, 2024 - Wiley Online Library
Uncontrolled sunlight entering through windows contributes to substantial heating and
cooling demands in buildings, which leads to high energy consumption from the buildings …

A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model

X Xin, Z Zhang, Y Zhou, Y Liu, D Wang… - Journal of Building …, 2024 - Elsevier
Predictive control offers significant advantages in nonlinear control, high thermal inertia, and
dynamic control. This article uses a Systematic Reviews and Meta-Analyses methodology to …

Model predictive control in phase-change-material-wallboard-enhanced building energy management considering electricity price dynamics

S Yang, HO Gao, F You - Applied Energy, 2022 - Elsevier
Incorporating phase-change material (PCM) wallboards into building envelopes can help
reduce electricity costs associated with heating and enhance demand flexibility in dynamic …

Dynamic optimization for minimal HVAC demand with latent heat storage, heat recovery, natural ventilation, and solar shadings

LA de Araujo Passos, P van den Engel, S Baldi… - Energy Conversion and …, 2023 - Elsevier
Satisfying thermal comfort in indoor spaces is still a challenge in terms of energy saving, and
several HVAC (Heating, Ventilation, and Air-Conditioning) systems have been proposed for …

Energy capture efficiency enhancement of wind turbines via stochastic model predictive yaw control based on intelligent scenarios generation

D Song, Z Li, L Wang, F Jin, C Huang, E Xia… - Applied Energy, 2022 - Elsevier
Wind direction is random and time-varying, which is arduous to be accurately predicted. The
yaw control based on the predicted wind direction is limited by the accuracy of the wind …

Model predictive control for Demand-and Market-Responsive building energy management by leveraging active latent heat storage

S Yang, HO Gao, F You - Applied Energy, 2022 - Elsevier
Active latent heat storage (ALHS) involving phase-change materials constitutes a promising
energy-efficient solution for building energy management (BEM) by reshaping building …