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- W2564613360 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." @default.
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- W2564613360 date "2017-01-03" @default.
- W2564613360 modified "2023-09-27" @default.
- W2564613360 title "District cooling network optimization with redundancy constraints in Singapore" @default.
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- W2564613360 doi "https://doi.org/10.1186/s40984-016-0024-0" @default.
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