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Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy

Weinand, Jann Michael; Kleinebrahm, Max; McKenna, Russell; Mainzer, Kai; Fichtner, Wolf

Abstract (englisch):
Plants increasingly exploit high geothermal energy potentials in German district heating networks. Municipal planners need instruments to design the district heating network for geothermal heat. This paper presents a combinatorial mixed-integer linear optimisation model and a three-stage heuristic to determine the minimum-cost district heating systems in municipalities. The central innovations are the ability to optimise both the structure of the heating network and the location of the heating plant, the consideration of partial heat supply from district heating and the scalability to larger municipalities. A comparison of optimisation and heuristic for three exemplary municipalities demonstrates the efficiency of the latter: the optimisation takes between 500% and 1 × 107% more time than the heuristic. The deviations of the heuristic's calculated total investments for the district heating system compared to the optimisation are in all cases below 5%, and in 80% of cases below 0.3%. The efficiency of the heuristic is further demonstrated by comparison with the Nearest-Neighbour-Heuristic, which is less efficient and substantially overestimates the total costs by up to 80%. ... mehr

DOI: 10.1016/j.apenergy.2019.113367
Zitationen: 14
Web of Science
Zitationen: 11
Zitationen: 14
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 10.2019
Sprache Englisch
Identifikator ISSN: 0306-2619
KITopen-ID: 1000095331
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Erschienen in Applied energy
Verlag Elsevier
Band 251
Seiten 113367
Projektinformation Energiesystemintegration (HGF, HGF IVF2016 STRATZUK, ZT-0002)
Nachgewiesen in Dimensions
Web of Science
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