No full text
Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Mixed Integer Linear Programming Model for the Optimal Operation of a Dual Source Heat Pump
Rafii-Tabrizi, Sasan; Hadji-Minaglou, Jean-Régis; Scholzen, Frank
20196th International Conference on Control, Decision and Information Technologies (CoDIT)
 

Files


Full Text
No document available.

Send to



Details



Keywords :
Heat Pump; Optimisation; mixed Integer Linear Programming
Abstract :
[en] This paper presents a mixed integer linear programming (MILP) model to optimally operate a dual source heat pump (DSHP). The DSHP draws environmental energy from an underground ice storage tank (IST) or wind infrared sensitive collectors (WISC). WISC is further used to regenerate the IST. The thermal output of the DSHP is stored in a thermal energy storage (TES). A single-objective optimization approach is applied to minimize the operational cost of the DSHP over a scheduling horizon of 24h. The developed framework is tested on various days, which are representative for each season of the year. Furthermore, it is investigated how variable electricity price market data influence the dynamic behaviour of the DSHP.
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
External co-authors :
no
Language :
English
Title :
Mixed Integer Linear Programming Model for the Optimal Operation of a Dual Source Heat Pump
Publication date :
24 April 2019
Event name :
6th International Conference on Control, Decision and Information Technologies (CoDIT)
Event place :
Paris, France
Event date :
from 23-04-2019 to 26-04-2019
Audience :
International
Focus Area :
Computational Sciences
Sustainable Development
Funders :
University of Luxembourg - UL
Available on ORBilu :
since 20 January 2020

Statistics


Number of views
82 (17 by Unilu)
Number of downloads
0 (0 by Unilu)

Bibliography


Similar publications



Contact ORBilu