All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
Grey-box modeling and application for building energy simulations-A critical review
Grey-box modeling, as one of the three fundamental modeling techniques for building
energy models, has many advantages compared with black-box modeling and white-box …
energy models, has many advantages compared with black-box modeling and white-box …
[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review
Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …
the increasing penetration of variable renewable energy sources. As significant end-use …
Sustainable building climate control with renewable energy sources using nonlinear model predictive control
Sustainable energy sources are promising solutions for reducing carbon footprint and
environmental impacts within the building sectors. Reducing energy consumption while …
environmental impacts within the building sectors. Reducing energy consumption while …
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 …
Model predictive climate control of a swiss office building: Implementation, results, and cost–benefit analysis
This paper reports the final results of the predictive building control project OptiControl-II that
encompassed seven months of model predictive control (MPC) of a fully occupied Swiss …
encompassed seven months of model predictive control (MPC) of a fully occupied Swiss …
Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization
Being a primary contributor to global energy consumption and energy-related carbon
emissions, the building and building construction sectors are a crucial player in the …
emissions, the building and building construction sectors are a crucial player in the …
Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …
performance and saving energy. However, after over 20 years of research, it is yet to be …
[HTML][HTML] Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems
In the future due to continued integration of renewable energy sources, demand-side
flexibility would be required for managing power grids. Building energy systems will serve as …
flexibility would be required for managing power grids. Building energy systems will serve as …
[HTML][HTML] Evaluation of advanced control strategies for building energy systems
Advanced building control strategies like model predictive control and reinforcement
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …