District cooling network optimization with redundancy constraints in Singapore. Issue 1 (3rd January 2017)

• Record Type: Journal Article
• Authors: Dorfner, Johannes; Krystallas, Patrick; Durst, Magdalena; Massier, Tobias
• Is Part Of: Future cities and environment. Volume 3:Issue 1(2017)
• Publication Date: 2017-01-03
• Subjects: District cooling -- Mathematical optimization -- Mixed-integer linear programming -- Redundancy
• DOI: 10.1186/s40984-016-0024-0
• Languages: English
• ISSNs: 2363-9075

Abstract

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. The model is applied to a case study in the central business district of Singapore. Results show that district cooling is a profitable option for Singapore, especially due to its constant high cooling demand that is currently satisfied mainly through decentralized cooling units. This result generalizes to tropical cities world-wide with high cooling demand density.