Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials

[EN] This thesis investigates the potential of using geopolymer concrete as an alternative to ordinary Portland cement (OPC) for thermal energy storage (TES) systems, particularly for high-temperature applications. OPC concrete, the conventional material proposed in TES systems, exhibits thermal deg...

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Autor: Rahjoo, Mohammad
Tipo de recurso: tesis doctoral
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::b6508918abcecb9fabcbabb9c5a2a577
Acceso en línea:http://hdl.handle.net/10261/427572
Access Level:acceso abierto
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dc.title.none.fl_str_mv Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
title Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
spellingShingle Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
Rahjoo, Mohammad
title_short Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
title_full Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
title_fullStr Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
title_full_unstemmed Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
title_sort Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materials
dc.creator.none.fl_str_mv Rahjoo, Mohammad
author Rahjoo, Mohammad
author_facet Rahjoo, Mohammad
author_role author
dc.contributor.none.fl_str_mv Dolado, Jorge S.
Rojas, Esther
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description [EN] This thesis investigates the potential of using geopolymer concrete as an alternative to ordinary Portland cement (OPC) for thermal energy storage (TES) systems, particularly for high-temperature applications. OPC concrete, the conventional material proposed in TES systems, exhibits thermal degradation at elevated temperatures, limiting its suitability for high-temperature applications. Geopolymer concrete, on the other hand, offers several advantages over OPC concrete for TES, including superior thermal stability, higher heat capacity, and lower environmental impact. To evaluate the potential of geopolymer concrete for TES, a broad research approach was employed, combining numerical modeling, experimental validation, and machine learning optimization. A 2-D numerical model was developed to simulate the thermal performance of TES prototypes made with OPC and geopolymer-based materials. The model successfully demonstrated the superior thermal performance of geopolymer concrete compared to OPC concrete, particularly at high temperatures. Experimental validation of the numerical model was conducted using real TES prototypes made of OPC and geopolymer concrete. The experiments confirmed the superior thermal stability and storage capacity of geopolymer concrete, with temperature differences up to 30-40°C and storage capacity up to 2-3.5x higher than OPC concrete. To further optimize the design and performance of TES systems based on geopolymer concrete, a 3-D computational model was developed. This model enabled systematic evaluation of design choices and operating parameters to maximize the performance of TES systems for up-scale approaches. Finally, machine learning techniques were employed to optimize the design and performance of TES systems based on solid materials. A decision tree machine learning (ML) model was trained to predict TES performance metrics based on a dataset generated from the validated numerical model. The ML model was then used in conjunction with multi-objective optimization to identify Pareto optimal solutions that balanced objectives such as efficiency and pressure drop for up-scale design.
publishDate 2024
dc.date.none.fl_str_mv 2024
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/427572
url http://hdl.handle.net/10261/427572
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dc.publisher.none.fl_str_mv Universidad del País Vasco
CSIC-UPV - Centro de Física de Materiales (CFM)
publisher.none.fl_str_mv Universidad del País Vasco
CSIC-UPV - Centro de Física de Materiales (CFM)
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spelling Multi-Scale modelling and design of thermal energy storage (TES) devices based on cementitious materialsRahjoo, Mohammad[EN] This thesis investigates the potential of using geopolymer concrete as an alternative to ordinary Portland cement (OPC) for thermal energy storage (TES) systems, particularly for high-temperature applications. OPC concrete, the conventional material proposed in TES systems, exhibits thermal degradation at elevated temperatures, limiting its suitability for high-temperature applications. Geopolymer concrete, on the other hand, offers several advantages over OPC concrete for TES, including superior thermal stability, higher heat capacity, and lower environmental impact. To evaluate the potential of geopolymer concrete for TES, a broad research approach was employed, combining numerical modeling, experimental validation, and machine learning optimization. A 2-D numerical model was developed to simulate the thermal performance of TES prototypes made with OPC and geopolymer-based materials. The model successfully demonstrated the superior thermal performance of geopolymer concrete compared to OPC concrete, particularly at high temperatures. Experimental validation of the numerical model was conducted using real TES prototypes made of OPC and geopolymer concrete. The experiments confirmed the superior thermal stability and storage capacity of geopolymer concrete, with temperature differences up to 30-40°C and storage capacity up to 2-3.5x higher than OPC concrete. To further optimize the design and performance of TES systems based on geopolymer concrete, a 3-D computational model was developed. This model enabled systematic evaluation of design choices and operating parameters to maximize the performance of TES systems for up-scale approaches. Finally, machine learning techniques were employed to optimize the design and performance of TES systems based on solid materials. A decision tree machine learning (ML) model was trained to predict TES performance metrics based on a dataset generated from the validated numerical model. The ML model was then used in conjunction with multi-objective optimization to identify Pareto optimal solutions that balanced objectives such as efficiency and pressure drop for up-scale design.[ES] Esta tesis investiga el potencial del hormigón geopolimérico como alternativa al cemento Portland (OPC) para sistemas de almacenamiento de energía térmica (TES), particularmente para aplicaciones de alta temperatura. El hormigón de OPC, material convencional propuesto en los sistemas TES, presenta degradación térmica a temperaturas elevadas, lo que limita su idoneidad para las aplicaciones de alta temperatura. El hormigón geopolimérico, sin embargo, ofrece varias ventajas sobre el hormigón de OPC para TES, como una estabilidad térmica superior, una mayor capacidad calorífica y un menor impacto ambiental. Para evaluar el potencial del hormigón geopolimérico para TES, se empleó un enfoque de investigación amplio que combina modelado numérico, validación experimental y optimización de aprendizaje automático. Se desarrolló un modelo numérico bidimensional para simular el rendimiento térmico de prototipos TES fabricados con OPC y materiales a base de geopolímeros. El modelo demostró con éxito el rendimiento térmico superior del hormigón geopolimérico en comparación con el hormigón de OPC, especialmente a temperaturas altas. La validación experimental del modelo numérico se realizó utilizando prototipos TES reales fabricados con OPC y hormigón geopolimérico. Los experimentos confirmaron la superior estabilidad térmica y capacidad de almacenamiento del hormigón geopolimérico, con diferencias de temperatura de hasta 30-40 °C y capacidad de almacenamiento hasta 2-3,5 veces mayor que el hormigón de OPC. Para optimizar aún más el diseño y el rendimiento de los sistemas TES basados en hormigón geopolimérico, se desarrolló un modelo computacional en 3D. Este modelo permitió una evaluación sistemática de las opciones de diseño y los parámetros de operación para maximizar el rendimiento de los sistemas TES para enfoques de mayor escala. Finalmente, se emplearon técnicas de aprendizaje automático para optimizar el diseño y el rendimiento de los sistemas TES basados en materiales sólidos. Se entrenó un modelo de aprendizaje automático (ML) de árbol de decisiones para predecir métricas de rendimiento de TES basado en un conjunto de datos generado a partir del modelo numérico validado. El modelo ML se utilizó luego en conjunto con la optimización multiobjetivo para identificar soluciones Pareto óptimas que equilibraran objetivos como la eficiencia y la caída de presión para un diseño a mayor escala.ECRETE: Energy storage solutions based on CONCRETE - Proyectos de I+D+i Retos investigación 2018 (RTI2018) Project reference number: RTI2018-098554-B-I00 - https://www.ecrete.org/ • Grant PRE2019-087676 funded by MCIN/AEI/10.13039/501100011033 and cofinanced by the European Social Fund under the 2019 call for grants for predoctoral contracts for the training of doctors contemplated in the State Training Subprogram of the State Program for the Promotion of Talent and its Employability in R&D&I, within the framework of the State Plan for Scientific and Technical Research and Innovation 2017–2020. • International Union of Laboratories and Experts in Construction Materials, Systems and Structures (RILEM): Technical Committee 299-TES on thermal energy storage in cementitious composites. https://www.rilem.net/Peer reviewedUniversidad del País VascoCSIC-UPV - Centro de Física de Materiales (CFM)Dolado, Jorge S.Rojas, EstherAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262024info:eu-repo/semantics/doctoralThesishttp://purl.org/coar/resource_type/c_db06application/pdfhttp://hdl.handle.net/10261/427572reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098554-B-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PRE2019-087676Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::b6508918abcecb9fabcbabb9c5a2a5772026-05-22T06:33:51Z
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