No full text
Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Optimal Operation of Nearly Zero Energy Buildings using Mixed Integer Linear Programming
Rafii-Tabrizi, Sasan; Hadji-Minaglou, Jean-Régis; Scholzen, Frank et al.
2019International Conference on Smart Energy Systems and Technologies (SEST)
 

Files


Full Text
No document available.

Send to



Details



Keywords :
Building Energy Management Systems; Optimisation; mixed Integer Linear Programming
Abstract :
[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.
Disciplines :
Energy
Author, co-author :
Rafii-Tabrizi, Sasan ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Hadji-Minaglou, Jean-Régis ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Scholzen, Frank ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Capitanescu, Florin;  Luxembourg Institute of Science & Technology - LIST
External co-authors :
no
Language :
English
Title :
Optimal Operation of Nearly Zero Energy Buildings using Mixed Integer Linear Programming
Publication date :
10 September 2019
Event name :
International Conference on Smart Energy Systems and Technologies (SEST)
Event date :
from 09-09-2019 to 11-09-2019
Audience :
International
Focus Area :
Computational Sciences
Sustainable Development
Funders :
University of Luxembourg - UL
Available on ORBilu :
since 20 January 2020

Statistics


Number of views
117 (23 by Unilu)
Number of downloads
0 (0 by Unilu)

Bibliography


Similar publications



Contact ORBilu