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Document type:
Zeitschriftenaufsatz 
Author(s):
Dorfner, Johannes; Krystallas, Patrick; Durst, Magdalena; Massier, Tobias 
Title:
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. 
Keywords:
District cooling; Mathematical optimization; Mixed-integer linear programming; Redundancy 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Journal title:
Future Cities and Environment 
Year:
2017 
Journal volume:
Year / month:
2017-01 
Journal issue:
CC license:
by, http://creativecommons.org/licenses/by/4.0