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- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Dorfner, Johannes; Krystallas, Patrick; Durst, Magdalena; Massier, Tobias
- Titel:
- District cooling network optimization with redundancy constraints in Singapore
- Abstract:
- This study presents a mathematical optimization model for planning topology and capacity of a district cooling network. The model relies on a mixed-integer linear programming formulation to find the most economic network layout while satisfying redundancy criteria against unavailability of cooling stations. The simplicity of the formulation makes it easy to embed in other models or to extend it to other redundancy cases.
- Stichworte:
- District cooling; Mathematical optimization; Mixed-integer linear programming; Redundancy
- Dewey Dezimalklassifikation:
- 620 Ingenieurwissenschaften
- Zeitschriftentitel:
- Future Cities and Environment
- Jahr:
- 2017
- Band / Volume:
- 3
- Jahr / Monat:
- 2017-01
- Heft / Issue:
- 1
- Volltext / DOI:
- doi:10.1186/s40984-016-0024-0
- CC-Lizenz:
- by, http://creativecommons.org/licenses/by/4.0
BibTeX
Vorkommen:
- mediaTUM GesamtbestandEinrichtungenSchools TUM School of Engineering and DesignDepartmentsEnergy and Process EngineeringErneuerbare und Nachhaltige Energiesysteme (Prof. Hamacher)AutorDorfner, Johannes
- mediaTUM GesamtbestandHochschulbibliographie2017FakultätenElektrotechnik und InformationstechnikErneuerbare und Nachhaltige Energiesysteme (Prof. Hamacher)