Pipe network optimization for district cooling and heating systems
Si quiere hacer uso de la herramienta el profesor Camilo Sedano tiene un repositorio GitHub en la que está plasmado el código.
- Autores:
-
Ardila Torres, Juan David
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2025
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75419
- Acceso en línea:
- https://hdl.handle.net/1992/75419
- Palabra clave:
- Thermal District Energy Systems
Software Tool
Distance Optimization
Ingeniería
- Rights
- openAccess
- License
- Attribution 4.0 International
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dc.title.eng.fl_str_mv |
Pipe network optimization for district cooling and heating systems |
title |
Pipe network optimization for district cooling and heating systems |
spellingShingle |
Pipe network optimization for district cooling and heating systems Thermal District Energy Systems Software Tool Distance Optimization Ingeniería |
title_short |
Pipe network optimization for district cooling and heating systems |
title_full |
Pipe network optimization for district cooling and heating systems |
title_fullStr |
Pipe network optimization for district cooling and heating systems |
title_full_unstemmed |
Pipe network optimization for district cooling and heating systems |
title_sort |
Pipe network optimization for district cooling and heating systems |
dc.creator.fl_str_mv |
Ardila Torres, Juan David |
dc.contributor.advisor.none.fl_str_mv |
Sedano Quiroz, Camilo Andrés |
dc.contributor.author.none.fl_str_mv |
Ardila Torres, Juan David |
dc.contributor.jury.none.fl_str_mv |
Sedano Quiroz, Camilo Andrés |
dc.subject.keyword.none.fl_str_mv |
Thermal District Energy Systems Software Tool Distance Optimization |
topic |
Thermal District Energy Systems Software Tool Distance Optimization Ingeniería |
dc.subject.themes.spa.fl_str_mv |
Ingeniería |
description |
Si quiere hacer uso de la herramienta el profesor Camilo Sedano tiene un repositorio GitHub en la que está plasmado el código. |
publishDate |
2025 |
dc.date.accessioned.none.fl_str_mv |
2025-01-15T13:07:45Z |
dc.date.available.none.fl_str_mv |
2025-01-15T13:07:45Z |
dc.date.issued.none.fl_str_mv |
2025-01-14 |
dc.type.none.fl_str_mv |
Trabajo de grado - Pregrado |
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info:eu-repo/semantics/bachelorThesis |
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info:eu-repo/semantics/acceptedVersion |
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https://hdl.handle.net/1992/75419 |
dc.identifier.instname.none.fl_str_mv |
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dc.identifier.reponame.none.fl_str_mv |
reponame:Repositorio Institucional Séneca |
dc.identifier.repourl.none.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
url |
https://hdl.handle.net/1992/75419 |
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instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.references.none.fl_str_mv |
OECD, "Environmental outlook to 2050: The consequences of inaction," OECD Publishing, 2012. Global Alliance for Buildings and Construction, "Towards a Zero - Emission, Efficient and Resilient Buildings and Construction Sector," UN Environment, 2017. U. Nations, "World Urbanization Prospects: The 2018 Revision," 2018. R. Patureau, V. Gavan, P. Stabat and C. T. Tran, "The new generation of District heating & cooling networks and their potential development in France," Energy, vol. 236, December 2021. Ministerio de Ambiente y Desarrollo Sostenible, "DISTRITOS TÉRMICOS GUÍA METODOLÓGICA," Colombia, 2019. A. Allen, G. Henze, K. Baker, G. Pavlak, N. Long and Y. Fu, "A topology optimization framework to facilitate adoption of advanced district thermal energy systems," Earth and Environmental Science, vol. 588, 2020. M. Blommaert, Y. Wack and M. Baelmans, "An adjoint optimization approach for the topological design of large-scale district heating networks based on nonlinear models," Applied Energy, vol. 280, no. 116025, December 2020. M. Blommaert, M. Baelmans and R. Salenbien, "An adjoint approach to thermal network topology optimization," in Proceedings of the 16th international heat transfer conference, Beijing, 2018. J. Schmidt and P. Stange, "Optimization of district heating network design," Energy Reports, vol. 7, pp. 97-104, October 2021. geeksforgeeks, "How to find Shortest Paths from Source to all Vertices using Dijkstra’s Algorithm," 6 Aug 2024. [Online]. Available: https://www.geeksforgeeks.org/dijkstras-shortest-path-algorithm-greedy-algo-7/. geeksforgeeks, "Kruskal’s Minimum Spanning Tree (MST) Algorithm," 10 Dec 2024. [Online]. Available: https://www.geeksforgeeks.org/kruskals-minimum-spanning-tree-algorithm-greedy-algo-2/. M. d. M. y. Energía, "REGLAMENTO TÉCNICO DE INSTALACIONES TÉRMICAS," Colombia, 2023. Y. Cengel, R. Turner and J. Cimbala, Fundamentals of Thermal-Fluid Sciences, McGraw-Hill Education, 2016. S. John Alexis, D. Palanivel Rajan and S. Gunasekaran, "Dynamic multi-keyword based search algorithm using modified based fully homomorphic encryption and Prim’s algorithm," Cluster Computing, 2017. NeetCode, "Prims Algorithm - Minimum Spanning Tree - Min Cost to Connect all Points - Leetcode 1584 - Python," 12 Jun 2021. [Online]. Available: https://www.youtube.com/watch?v=f7JOBJIC-NA&list=LL&index=5&t=1174s. Free Learning Platform For Better Future, "Prims algorithm Java," [Online]. Available: https://www.javatpoint.com/prims-algorithm-java. L. Sahota and G. Tiwari, "Solar Radiation and Heat Transfer. In: Advanced Solar-Distillation Systems. Green Energy and Technology.," 2017. [Online]. Available: https://doi.org/10.1007/978-981-10-4672-8_2. American Society of Heating, Refrigerating and Air-Conditioning Engineers, "ASHRAE," [Online]. Available: https://www.ashrae.org/. |
dc.rights.en.fl_str_mv |
Attribution 4.0 International |
dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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65 páginas |
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Universidad de los Andes |
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Ingeniería Mecánica |
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Facultad de Ingeniería |
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Departamento de Ingeniería Mecánica |
publisher.none.fl_str_mv |
Universidad de los Andes |
institution |
Universidad de los Andes |
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Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autoresAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Sedano Quiroz, Camilo AndrésArdila Torres, Juan DavidSedano Quiroz, Camilo Andrés2025-01-15T13:07:45Z2025-01-15T13:07:45Z2025-01-14https://hdl.handle.net/1992/75419instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Si quiere hacer uso de la herramienta el profesor Camilo Sedano tiene un repositorio GitHub en la que está plasmado el código.The implementation of thermal district energy systems (TDES) has been imperative to provide thermal comfort to several users without disregarding the targets for reducing carbon emissions by 2030. Prior research has shown the primary cost factor that influences the ROI is the construction of the piping infrastructure. Therefore, it is critical to identify ways that enable TDES developers minimize these capital expenses. This document introduces a software tool to support TDES planners and decision makers find an initial approach to minimize the pipe network length. The webpage layout lets the user select suppliers and consumers by clicking their location on a map. After submitting the building and connections characteristics, the first step of the optimization is to determine the nearest supplier for each consumer which leads to forming clusters. Afterwards, minimum length is obtained by implementing Prim’s algorithm to find the minimum spanning tree (MST) within each cluster. Ultimately, through an iterative approach, the water temperatures along the system are figured out based on the user’s inputs.Pregrado65 páginasapplication/pdfengUniversidad de los AndesIngeniería MecánicaFacultad de IngenieríaDepartamento de Ingeniería MecánicaPipe network optimization for district cooling and heating systemsTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPThermal District Energy SystemsSoftware ToolDistance OptimizationIngenieríaOECD, "Environmental outlook to 2050: The consequences of inaction," OECD Publishing, 2012.Global Alliance for Buildings and Construction, "Towards a Zero - Emission, Efficient and Resilient Buildings and Construction Sector," UN Environment, 2017.U. Nations, "World Urbanization Prospects: The 2018 Revision," 2018.R. Patureau, V. Gavan, P. Stabat and C. T. Tran, "The new generation of District heating & cooling networks and their potential development in France," Energy, vol. 236, December 2021.Ministerio de Ambiente y Desarrollo Sostenible, "DISTRITOS TÉRMICOS GUÍA METODOLÓGICA," Colombia, 2019.A. Allen, G. Henze, K. Baker, G. Pavlak, N. Long and Y. Fu, "A topology optimization framework to facilitate adoption of advanced district thermal energy systems," Earth and Environmental Science, vol. 588, 2020.M. Blommaert, Y. Wack and M. Baelmans, "An adjoint optimization approach for the topological design of large-scale district heating networks based on nonlinear models," Applied Energy, vol. 280, no. 116025, December 2020.M. Blommaert, M. Baelmans and R. Salenbien, "An adjoint approach to thermal network topology optimization," in Proceedings of the 16th international heat transfer conference, Beijing, 2018.J. Schmidt and P. Stange, "Optimization of district heating network design," Energy Reports, vol. 7, pp. 97-104, October 2021.geeksforgeeks, "How to find Shortest Paths from Source to all Vertices using Dijkstra’s Algorithm," 6 Aug 2024. [Online]. Available: https://www.geeksforgeeks.org/dijkstras-shortest-path-algorithm-greedy-algo-7/.geeksforgeeks, "Kruskal’s Minimum Spanning Tree (MST) Algorithm," 10 Dec 2024. [Online]. Available: https://www.geeksforgeeks.org/kruskals-minimum-spanning-tree-algorithm-greedy-algo-2/.M. d. M. y. Energía, "REGLAMENTO TÉCNICO DE INSTALACIONES TÉRMICAS," Colombia, 2023.Y. Cengel, R. Turner and J. Cimbala, Fundamentals of Thermal-Fluid Sciences, McGraw-Hill Education, 2016.S. John Alexis, D. Palanivel Rajan and S. Gunasekaran, "Dynamic multi-keyword based search algorithm using modified based fully homomorphic encryption and Prim’s algorithm," Cluster Computing, 2017.NeetCode, "Prims Algorithm - Minimum Spanning Tree - Min Cost to Connect all Points - Leetcode 1584 - Python," 12 Jun 2021. [Online]. Available: https://www.youtube.com/watch?v=f7JOBJIC-NA&list=LL&index=5&t=1174s.Free Learning Platform For Better Future, "Prims algorithm Java," [Online]. Available: https://www.javatpoint.com/prims-algorithm-java.L. Sahota and G. Tiwari, "Solar Radiation and Heat Transfer. In: Advanced Solar-Distillation Systems. Green Energy and Technology.," 2017. [Online]. Available: https://doi.org/10.1007/978-981-10-4672-8_2.American Society of Heating, Refrigerating and Air-Conditioning Engineers, "ASHRAE," [Online]. 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