Hierarchical model for design and operation optimization of district cooling networks
District cooling systems offer a promising alternative to conventional cooling, thanks to overall larger efficiencies and reduced carbon footprint. On the other hand they are characterized by large capital and operational costs that impede their diffusion. Optimizing the design and operation of thes...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/180009 |
| _version_ | 1811680505642352640 |
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| author | Neri, Manfredi Guelpa, Elisa Khor, Jun Onn Romagnoli, Alessandro Verda, Vittorio |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Neri, Manfredi Guelpa, Elisa Khor, Jun Onn Romagnoli, Alessandro Verda, Vittorio |
| author_sort | Neri, Manfredi |
| collection | NTU |
| description | District cooling systems offer a promising alternative to conventional cooling, thanks to overall larger efficiencies and reduced carbon footprint. On the other hand they are characterized by large capital and operational costs that impede their diffusion. Optimizing the design and operation of these systems is therefore fundamental to fully exploit their potential. This paper proposes a novel optimization framework for the simultaneous optimization of design and operation of these systems. The model integrates a genetic algorithm at a master level with Mixed Integer Linear Programming models at a lower level. This approach enables the optimization of various aspects, including network topology, plant locations, supply temperatures and the selection of thermal storage technology. The study showed that in the specific case of Singapore, where the cost for space occupancy is significant, latent heat thermal storages are preferred. In addition, the results highlighted the cost benefits of thermal storage, as district cooling networks lacking it can be from 6.2% to 20.8% more expensive, depending on the scenario. Furthermore, the study demonstrated that the utilization of waste heat through absorption chillers enhances the economic feasibility of district cooling, lowering the payback time by up to 5 years. Lastly, it was observed that 3 °C increase of the indoor set point temperature could reduce the payback time by 3 years and increase the final net present value by 43%, as larger network supply temperatures allow chillers to operate with better performances. The developed model allows to estimate various crucial outcomes with few input parameters, representing a useful tool for both research and planning. |
| first_indexed | 2024-10-01T03:26:07Z |
| format | Journal Article |
| id | ntu-10356/180009 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:26:07Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1800092024-09-14T16:48:28Z Hierarchical model for design and operation optimization of district cooling networks Neri, Manfredi Guelpa, Elisa Khor, Jun Onn Romagnoli, Alessandro Verda, Vittorio School of Mechanical and Aerospace Engineering Energy Research Institute @ NTU (ERI@N) Engineering District cooling Thermal network District cooling systems offer a promising alternative to conventional cooling, thanks to overall larger efficiencies and reduced carbon footprint. On the other hand they are characterized by large capital and operational costs that impede their diffusion. Optimizing the design and operation of these systems is therefore fundamental to fully exploit their potential. This paper proposes a novel optimization framework for the simultaneous optimization of design and operation of these systems. The model integrates a genetic algorithm at a master level with Mixed Integer Linear Programming models at a lower level. This approach enables the optimization of various aspects, including network topology, plant locations, supply temperatures and the selection of thermal storage technology. The study showed that in the specific case of Singapore, where the cost for space occupancy is significant, latent heat thermal storages are preferred. In addition, the results highlighted the cost benefits of thermal storage, as district cooling networks lacking it can be from 6.2% to 20.8% more expensive, depending on the scenario. Furthermore, the study demonstrated that the utilization of waste heat through absorption chillers enhances the economic feasibility of district cooling, lowering the payback time by up to 5 years. Lastly, it was observed that 3 °C increase of the indoor set point temperature could reduce the payback time by 3 years and increase the final net present value by 43%, as larger network supply temperatures allow chillers to operate with better performances. The developed model allows to estimate various crucial outcomes with few input parameters, representing a useful tool for both research and planning. Published version 2024-09-09T07:48:08Z 2024-09-09T07:48:08Z 2024 Journal Article Neri, M., Guelpa, E., Khor, J. O., Romagnoli, A. & Verda, V. (2024). Hierarchical model for design and operation optimization of district cooling networks. Applied Energy, 371, 123667-. https://dx.doi.org/10.1016/j.apenergy.2024.123667 0306-2619 https://hdl.handle.net/10356/180009 10.1016/j.apenergy.2024.123667 2-s2.0-85196027928 371 123667 en Applied Energy © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf |
| spellingShingle | Engineering District cooling Thermal network Neri, Manfredi Guelpa, Elisa Khor, Jun Onn Romagnoli, Alessandro Verda, Vittorio Hierarchical model for design and operation optimization of district cooling networks |
| title | Hierarchical model for design and operation optimization of district cooling networks |
| title_full | Hierarchical model for design and operation optimization of district cooling networks |
| title_fullStr | Hierarchical model for design and operation optimization of district cooling networks |
| title_full_unstemmed | Hierarchical model for design and operation optimization of district cooling networks |
| title_short | Hierarchical model for design and operation optimization of district cooling networks |
| title_sort | hierarchical model for design and operation optimization of district cooling networks |
| topic | Engineering District cooling Thermal network |
| url | https://hdl.handle.net/10356/180009 |
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