District Cooling Network Optimization with Redundancy Constraints in Singapore

Johannes Dorfner; Patrick Krystallas; Magdalena Durst; Tobias Massier

doi:10.1186/s40984-016-0024-0

Publication details

District Cooling Network Optimization with Redundancy Constraints in Singapore

Publication data

Type:

Journal article Open access

Authors:

Johannes Dorfner, Patrick Krystallas, Magdalena Durst and Tobias Massier

Published in:

Future Cities and Environment, vol. 3, no. 1
(Electronic ISSN: 2363-9075)

Publisher:

Ubiquity Press, London (United Kingdom)

Publication date:

January 2017

Pages:

1–13

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.

Keywords:

District cooling, Mathematical optimisation, Mixed-integer linear programming, Redundancy

DOI:

10.1186/s40984-016-0024-0

Further information

Part of project:

TUMCREATE Phase II — Towards the Ultimate Public Transport System

Resources

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Format: BibLaTeX BibTeX

@article{Dorfner_DistrictCoolingNetwork_2017,
  author    = {Dorfner, Johannes and Krystallas, Patrick and Durst, Magdalena and Massier, Tobias},
  title     = {District Cooling Network Optimization with Redundancy Constraints in {Singapore}},
  year      = {2017},
  month     = jan,
  journal   = {Future Cities and Environment},
  issn      = {2363-9075},
  publisher = {Ubiquity Press},
  address   = {London, UK},
  volume    = {3},
  number    = {1},
  pages     = {1--13},
  doi       = {10.1186/s40984-016-0024-0},
  keywords  = {District cooling, Mathematical optimisation, Mixed-integer linear programming, Redundancy},
}

@article{Dorfner_DistrictCoolingNetwork_2017,
  author       = {Dorfner, Johannes and Krystallas, Patrick and Durst, Magdalena and Massier, Tobias},
  title        = {District Cooling Network Optimization with Redundancy Constraints in {Singapore}},
  date         = {2017-01},
  journaltitle = {Future Cities and Environment},
  issn         = {2363-9075},
  publisher    = {Ubiquity Press},
  location     = {London, UK},
  volume       = {3},
  number       = {1},
  pages        = {1--13},
  doi          = {10.1186/s40984-016-0024-0},
  keywords     = {District cooling, Mathematical optimisation, Mixed-integer linear programming, Redundancy},
}

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