Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities
In the last few years, the application of Model Predictive Control (MPC) for energy
management in buildings has received significant attention from the research community …
management in buildings has received significant attention from the research community …
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 …
control, and the combination of both design and control of a single element or a set of …
[HTML][HTML] Reinforcement learning for whole-building HVAC control and demand response
This paper proposes a novel reinforcement learning (RL) architecture for the efficient
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …
Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization
A model predictive control system with adaptive machine-learning-based building models
for building automation and control applications is proposed. The system features an …
for building automation and control applications is proposed. The system features an …
Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning
Whole building energy model (BEM) is a physics-based modeling method for building
energy simulation. It has been widely used in the building industry for code compliance …
energy simulation. It has been widely used in the building industry for code compliance …
Ten questions concerning model predictive control for energy efficient buildings
Buildings are dynamical systems with several control challenges: large storage capacities,
switching aggregates, technical and thermal constraints, and internal and external …
switching aggregates, technical and thermal constraints, and internal and external …
From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric control
Occupants are the core of the built environment. Traditional heating, ventilation, and air-
conditioning (HVAC) systems operate with predefined schedules and maximum occupancy …
conditioning (HVAC) systems operate with predefined schedules and maximum occupancy …
Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system
Deep reinforcement learning (DRL) has become a popular optimal control method in recent
years. This is mainly because DRL has the potential to solve the optimal control problems …
years. This is mainly because DRL has the potential to solve the optimal control problems …
Optimization of envelope design for housing in hot climates using a genetic algorithm (GA) computational approach
SN Al-Saadi, KS Al-Jabri - Journal of Building Engineering, 2020 - Elsevier
Little attention has been given to the use of optimization approach in the envelope design of
thermally-massive structures in extreme hot climates. In addition, limited studies are reported …
thermally-massive structures in extreme hot climates. In addition, limited studies are reported …
[HTML][HTML] A comprehensive review and sensitivity analysis of the factors affecting the performance of buildings equipped with Variable Refrigerant Flow system in …
Abstract Variable Refrigerant Flow (VRF) systems are becoming increasingly popular in
commercial and residential buildings due to their flexibility and efficiency. Building design …
commercial and residential buildings due to their flexibility and efficiency. Building design …