Reference : Optimal Operation of Nearly Zero Energy Buildings using Mixed Integer Linear Programming
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Energy
Computational Sciences; Sustainable Development
http://hdl.handle.net/10993/41741
Optimal Operation of Nearly Zero Energy Buildings using Mixed Integer Linear Programming
English
Rafii-Tabrizi, Sasan mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Hadji-Minaglou, Jean-Régis mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Scholzen, Frank mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Capitanescu, Florin mailto [Luxembourg Institute of Science & Technology - LIST]
10-Sep-2019
Yes
International
International Conference on Smart Energy Systems and Technologies (SEST)
from 09-09-2019 to 11-09-2019
[en] Building Energy Management Systems ; Optimisation ; mixed Integer Linear Programming
[en] This paper proposes a deterministic mixed integer
linear programming model for the optimal operation of an
energy system providing thermal and electrical energy for a
residential and commercial nearly zero energy building. The
space heating and space cooling demand of the buildings is
simulated using a resistive-capacitive model within a quadratic
program respectively. Thermal energy for space heating, space
cooling and domestic hot water is buffered in thermal energy
storage systems. A dual source heat pump provides thermal
energy for space heating and domestic hot water, whereas
space cooling is covered by an underground ice storage. The
environmental energy sources of the heat pump are ice storage
or wind infrared sensitive collectors. The collectors are further
used to regenerate the ice storage. Further space heating demands
are covered by a combined heat and power unit, which also
produces electricity. Photovoltaic panels produce electrical energy
which can be stored in a battery storage system. The electrical
energy system is capable of selling and buying electricity from the
public power grid. A mixed integer linear programming model
is developed to minimise the operation cost of the combined
commercial and residential nearly zero energy building over a
scheduling horizon of 24h. The developed model is tested on two
typical days, which are representative for the summer and winter
season. Furthermore, it is investigated how external incentives
such as varying electricity prices impact the optimal scheduling
of the energy system.
University of Luxembourg - UL
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/41741
10.1109/SEST.2019.8849083
https://ieeexplore.ieee.org/document/8849083

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