TY - GEN
T1 - An open source smart building energy management platform through VOLTTRON
AU - Mirakhorli, Amin
AU - Dong, Bing
N1 - Publisher Copyright:
© 2017 Building Simulation Conference Proceedings. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Buildings as one of the largest consumers of electricity in the grid have a large potential to participate in the grid operation. This paper represents a control and simulation test bed in VOLTTRON platform for building energy management. Several Control and simulation agents are designed for major consumers of electricity in buildings (Air conditioner, Electric Vehicle, Water Heater) considering grid signal, and occupant behavior. Simulator agents are capable of simulating multiple control scenarios simultaneously, and provide an estimation of different control performances using identified models in case of hardware implementation. Grid signal responsive controls, including model predictive control and transactional controls are implemented in control agents, and prediction from MPC is used to calculate future load of the building in a central management agent. Finally, performance and output of each controller, is visualized in a flexible graphical user interface.
AB - Buildings as one of the largest consumers of electricity in the grid have a large potential to participate in the grid operation. This paper represents a control and simulation test bed in VOLTTRON platform for building energy management. Several Control and simulation agents are designed for major consumers of electricity in buildings (Air conditioner, Electric Vehicle, Water Heater) considering grid signal, and occupant behavior. Simulator agents are capable of simulating multiple control scenarios simultaneously, and provide an estimation of different control performances using identified models in case of hardware implementation. Grid signal responsive controls, including model predictive control and transactional controls are implemented in control agents, and prediction from MPC is used to calculate future load of the building in a central management agent. Finally, performance and output of each controller, is visualized in a flexible graphical user interface.
UR - http://www.scopus.com/inward/record.url?scp=85107376548&partnerID=8YFLogxK
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U2 - 10.26868/25222708.2017.383
DO - 10.26868/25222708.2017.383
M3 - Conference contribution
AN - SCOPUS:85107376548
T3 - Building Simulation Conference Proceedings
SP - 759
EP - 766
BT - 15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
A2 - Barnaby, Charles S.
A2 - Wetter, Michael
PB - International Building Performance Simulation Association
T2 - 15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
Y2 - 7 August 2017 through 9 August 2017
ER -