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Ancillary service to the grid through control of fans in commercial building HVAC systems
The thermal storage potential in commercial buildings is an enormous resource for providing
various ancillary services to the grid. In this paper, we show how fans in Heating, Ventilation …
various ancillary services to the grid. In this paper, we show how fans in Heating, Ventilation …
Model predictive control for HVAC systems—A review
The world faces an energy problem. Oil supply is gradually running out. Its use is polluting
the planet with greenhouse gas. Most alternative energy sources also pose some …
the planet with greenhouse gas. Most alternative energy sources also pose some …
Structure-preserving model reduction of nonlinear building thermal models
This paper proposes an aggregation-based model reduction method for nonlinear models of
multi-zone building thermal dynamics. The full-order model, which is already a lumped …
multi-zone building thermal dynamics. The full-order model, which is already a lumped …
Modelling and disturbance estimation for model predictive control in building heating systems
As research in the area of model predictive control (MPC) for building energy systems
intensifies, appropriate methods are required to model a building's thermodynamic …
intensifies, appropriate methods are required to model a building's thermodynamic …
Decentralized temperature control via HVAC systems in energy efficient buildings: An approximate solution procedure
This paper presents a real-time decentralized temperature control scheme via Heating
Ventilation and Air Conditioning (HVAC) systems for energy efficient buildings, which …
Ventilation and Air Conditioning (HVAC) systems for energy efficient buildings, which …
Decentralized predictive thermal control for buildings
This paper studies the problem of decentralized control design for thermal control in
buildings, to achieve a satisfactory trade-off between underlying performance and …
buildings, to achieve a satisfactory trade-off between underlying performance and …
Learning in mean-field games
The purpose of this paper is to show how insight obtained from a mean-field model can be
used to create an architecture for approximate dynamic programming (ADP) for a certain …
used to create an architecture for approximate dynamic programming (ADP) for a certain …