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Modular modeling and optimized scheduling of building energy systems based on mixed integer programming

 
: Wolf, Armin

:
Postprint urn:nbn:de:0011-n-5904658 (640 KByte PDF)
MD5 Fingerprint: 968cab1715f06d52d4c6c365cf9eaa64
The original publication is available at springerlink.com
Erstellt am: 30.09.2020


Hofstedt, Petra (Ed.):
Declarative Programming and Knowledge Management : Conference on Declarative Programming, DECLARE 2019, Unifying INAP, WLP, and WFLP, Cottbus, Germany, September 9-12, 2019, Revised Selected Papers
Cham: Springer International Publishing, 2020 (Lecture Notes in Artificial Intelligence 12057)
ISBN: 978-3-030-46713-5 (Print)
ISBN: 978-3-030-46714-2 (Online)
ISBN: 978-3-030-46715-9
S.43-58
Conference on Declarative Programming (DECLARE) <2019, Cottbus>
International Conference on Applications of Declarative Programming and Knowledge Management (INAP) <22, 2019, Cottbus>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
EnEff:Wärme; 03ET1312A; WaveSave
Planung und Steuerung dezentraler Energiesysteme in Gebäuden
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()
building energy systems; constraint-based scheduling and optimization; cross-sector coupling; energy efficiency; mixed integer programming

Abstract
Almost climate neutral buildings are one of the core goals in terms of sustainability. Beside the support of the necessary design decisions for an integrated, interoperable, ecological and economical operation of building energy systems, innovative management solutions for scheduling the operation of decentralized energy systems are of great importance. The challenge is an optimal interaction between energy system components in terms of own consumption, energy efficiency and resource consumption as well as greenhouse gas emissions. To achieve these goals a modular optimization approach based on Mixed Integer Programming is proposed. In detail, and to our knowledge the first time, a MIP model for the dynamic behavior of fuel cell Combined Heat and Power plants is presented. Our approach is evaluated for the operation of heat pumps showing that their energy efficiency can be increased significantly.

: http://publica.fraunhofer.de/dokumente/N-590465.html