TY - GEN
T1 - An MILP model for optimal management of energy consumption and comfort in smart buildings
AU - Pinzon, Jerson A.
AU - Vergara, Pedro P.
AU - Da Silva, Luiz C.P.
AU - Rider, Marcos J.
PY - 2017
Y1 - 2017
N2 - This paper presents a new mixed integer linear programing (MILP) model for the management of energy consumption and comfort in smart buildings. Initially, a detailed mixed integer non-linear programming (MINLP) model is formulated. The approach considers the management of heating, ventilation and air conditioning (HVAC) units, lighting appliances, photovoltaic generation (PV) and energy storage system (ESS). Then, a set of linear and equivalent representations are used to approximate the problem by an MILP model. The aims of the proposed model is to minimize the electricity bill by managing the loads, as well as the schedule of the ESS, meanwhile comfortable indoor conditions are ensured by a set of mathematical constraints. A commercial MILP solver was used to guarantee optimality. The strategy was tested in an university building with multiple zones. Comparisons between the proposed MILP model and simulations in EnergyPlus were used to validate the results.
AB - This paper presents a new mixed integer linear programing (MILP) model for the management of energy consumption and comfort in smart buildings. Initially, a detailed mixed integer non-linear programming (MINLP) model is formulated. The approach considers the management of heating, ventilation and air conditioning (HVAC) units, lighting appliances, photovoltaic generation (PV) and energy storage system (ESS). Then, a set of linear and equivalent representations are used to approximate the problem by an MILP model. The aims of the proposed model is to minimize the electricity bill by managing the loads, as well as the schedule of the ESS, meanwhile comfortable indoor conditions are ensured by a set of mathematical constraints. A commercial MILP solver was used to guarantee optimality. The strategy was tested in an university building with multiple zones. Comparisons between the proposed MILP model and simulations in EnergyPlus were used to validate the results.
UR - http://www.scopus.com/inward/record.url?scp=85040199775&partnerID=8YFLogxK
U2 - 10.1109/ISGT.2017.8085956
DO - 10.1109/ISGT.2017.8085956
M3 - Conference contribution
AN - SCOPUS:85040199775
T3 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
BT - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
PB - IEEE
T2 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Y2 - 23 April 2017 through 26 April 2017
ER -
