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Optimal energy management of a small-size building via hybrid model predictive control
Graphical abstract
HighlightsProblem: combined control of thermal and electric subsystems of a small building.Objective: minimizing costs, by optimally storing energy in a battery pack.A hybrid model predictive control scheme is designed and implemented through MILP.Continuous and binary decision variables are determined based on weather forecast.Experiments are successfully conducted on a small building prototype.
AbstractThis paper presents the design of a Model Predictive Control (MPC) scheme to optimally manage the thermal and electrical subsystems of a small-size building (“smart house”), with the objective of minimizing the expense for buying energy from the grid, while keeping the room temperature within given time-varying bounds. The system, for which an experimental prototype has been built, includes PV panels, solar collectors, a battery pack, an electrical heater in a thermal storage tank, and two pumps on the solar collector and radiator hydraulic circuits. The presence of binary control inputs together with continuous ones naturally leads to using a hybrid dynamical model, and the MPC controller solves a mixed-integer linear program at each sampling instant, relying on weather forecast data for ambient temperature and solar irradiance. The procedure for controller design is reported with focus on the specific application, and the proposed method is successfully tested on the experimental site.
Optimal energy management of a small-size building via hybrid model predictive control
Graphical abstract
HighlightsProblem: combined control of thermal and electric subsystems of a small building.Objective: minimizing costs, by optimally storing energy in a battery pack.A hybrid model predictive control scheme is designed and implemented through MILP.Continuous and binary decision variables are determined based on weather forecast.Experiments are successfully conducted on a small building prototype.
AbstractThis paper presents the design of a Model Predictive Control (MPC) scheme to optimally manage the thermal and electrical subsystems of a small-size building (“smart house”), with the objective of minimizing the expense for buying energy from the grid, while keeping the room temperature within given time-varying bounds. The system, for which an experimental prototype has been built, includes PV panels, solar collectors, a battery pack, an electrical heater in a thermal storage tank, and two pumps on the solar collector and radiator hydraulic circuits. The presence of binary control inputs together with continuous ones naturally leads to using a hybrid dynamical model, and the MPC controller solves a mixed-integer linear program at each sampling instant, relying on weather forecast data for ambient temperature and solar irradiance. The procedure for controller design is reported with focus on the specific application, and the proposed method is successfully tested on the experimental site.
Optimal energy management of a small-size building via hybrid model predictive control
Khakimova, Albina (author) / Kusatayeva, Aliya (author) / Shamshimova, Akmaral (author) / Sharipova, Dana (author) / Bemporad, Alberto (author) / Familiant, Yakov (author) / Shintemirov, Almas (author) / Ten, Viktor (author) / Rubagotti, Matteo (author)
Energy and Buildings ; 140 ; 1-8
2017-01-14
8 pages
Article (Journal)
Electronic Resource
English
Optimal energy management of a small-size building via hybrid model predictive control
| Online Contents | 2017
Nonlinear Hybrid Model Predictive Control for building energy systems
| DataCite | 2022
Nonlinear Hybrid Model Predictive Control for building energy systems
| Elsevier | 2022