Grup de Recerca en Energia i Intel·ligència Artificial (GREiA) (INSPIRES)

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The GREiA research group (Research group in energy and artificial intelligence) is born from the union of the research group in energy GREA and the research group in artificial intelligence IA. The collaboration of these two groups begins in 2014. The general line of research that defines the activity of the group is to provide answers and solutions related to the fields of energy engineering, industrial and construction design, sustainability and intelligence artificial. [Més informació]


Recent Submissions

Now showing 1 - 5 of 525
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    Open Access
    Formulation and development of composite materials for thermally driven and storage‑integrated cooling technologies: a review
    (Springer, 2024) Borri, Emiliano; Ushak, Svetlana; Li, Yongliang; Frazzica, Andrea; Zhang, Yannan; Milian, Yanio; Grageda, Mario; Li, Dacheng; Cabeza, Luisa F.; Brancato, Vincenza
    The energy consumption for cooling takes up 50% of all the consumed final energy in Europe, which still highly depends on the utilization of fossil fuels. Thus, it is required to propose and develop new technologies for cooling driven by renewable energy. Also, thermal energy storage is an emerging technology to relocate intermittent low-grade heat source, like solar thermal energy and industrial waste heat as well as to exploit off-peak electricity, for cooling applications. This review aims to summarize the recent advances in thermally driven cooling and cold storage technologies, focusing on the formation and fabrication of adopted composites materials, including sorption materials, phase change materials, and slurries. Herein, first the classifications, selection criteria, and properties for these three types of materials is discussed. Then, the application potentials of all the materials are prospected in terms of economic analysis and sustainability.
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    Open Access
    Thermal energy storage in energy communities: A perspective overview through a bibliometric analysis
    (MDPI, 2024) Brunelli, Luca; Borri, Emiliano; Pisello, Anna Laura; Nicolini, Andrea; Mateu Piñol, Carles; Cabeza, Luisa F.
    The climate and energy crisis requires immediate countermeasures. Renewable energy communities (RECs) are capable of enhancing the consumption of renewable energy, involving citizens with a leading role in the energy transition process. The main objective of a REC is to maximize the consumption of renewable energy by reducing the mismatch between energy supply and demand. This is possible through the use of strategies and technologies including energy storage systems. Among these, the use of thermal energy storage (TES) is an efficient strategy due to the lower investment required compared to other storage technologies, like electric batteries. This study aims to define the role of TES in RECs, through a bibliometric analysis, in order to highlight research trends and possible gaps. This study shows that the existing literature on TES does not present terms related to RECs, thus presenting a research gap. On the other hand, RESs address the topic of energy storage in the literature, without focusing on TES in particular but considering the general aspect of the topic. Therefore, this leaves open a possibility for the development of research on TES as a possible technology applied to a REC to maximize the renewable energy sharing.
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    Open Access
    Analysis on integration of heat pumps and thermal energy storage in current energy system: From research outputs to energy policies
    (Elsevier, 2024) Rehman, Omais Abdur; Borri, Emiliano; Palomba, Valeria; Frazzica, Andrea; Brancato, Vincenza; Botargues, Teresa; Cabeza, Luisa F.
    This paper presents a comprehensive examination of the integration of heat pumps and thermal energy storage (TES) within the current energy system. Utilizing bibliometric analysis, recent research trends and gaps are identified, shedding light on the evolving landscape of this dynamic field. The study delves into the research outputs since 1969, offering insights into the global scholarly contributions shaping the discourse. Furthermore, an extensive policy analysis is conducted, focusing on seven countries with the highest research output. The interplay between research advancements and energy policies is explored, providing an understanding of the practical implications of the integration of heat pumps and TES. An understanding is tried to reach as how research and policy sector influence each other. This analysis contributes not only to the academic understanding of the subject but also informs policymakers about potential pathways for enhancing energy efficiency and sustainability in heating and cooling sector.
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    Use of artificial intelligence methods in designing thermal energy storage tanks: A bibliometric analysis
    (Elsevier, 2024) Mehraj, Nadiya; Mateu Piñol, Carles; Cabeza, Luisa F.
    This bibliometric study examines the use of artificial intelligence (AI) methods, such as machine learning (ML) and deep learning (DL), in the design of thermal energy storage (TES) tanks. TES tanks are essential parts of energy storage systems, and improving their design has a big impact on how effectively and sustainably energy is used. With the increasing availability and advancements in AI techniques, researchers explored their application within the field of TES tank design to address challenges related to structural analysis, material selection, and optimization. However, a comprehensive analysis of the current state of research, trends, and potential areas for improvement is lacking. This study aims to bridge this gap by analysing scientific papers, patents, and publications in conference proceedings from the Scopus database to identify trends, research gaps, and areas of importance in this domain. The novelty of this study lies in its focused examination of AI methods specifically applied to TES tank design, providing a unique perspective on the intersection of these two important fields. By conducting a thorough bibliometric analysis, this study offers original insights into the current landscape and future directions of AI-enabled TES tank design research. The methodology involves a systematic search query and the use of VOSviewer software for keyword analysis. The results indicate a notable increase in publications during recent years (2020-August 2023), aligning with the growing focus on sustainable energy solutions. The most frequent keywords, such as TES, genetic algorithm (GA), and phase change material (PCM), suggest a focus on improving optimization of TES tanks with AI, while the least common keywords highlight specific areas with limited work and opportunities for future studies. In conclusion, this bibliometric analysis underscores the potential of AI to enhance the design and performance of TES tanks, emphasizes the value of further research in this area, and identifies opportunities for future advancements in AI-enabled TES tank design to contribute to energy efficiency and sustainability efforts.
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    Open Access
    Enhancement of heat transfer through the incorporation of copper metal wool in latent heat thermal energy storage systems
    (Elsevier, 2024) Ribezzo, Alessandro; Morciano, Matteo; Zsembinszki, Gabriel; Risco Amigó, Santiago; Mani Kala, Saranprabhu; Borri, Emiliano; Bergamasco, Luca; Fasano, Matteo; Chiavazzo, Eliodoro; Prieto, Cristina; Cabeza, Luisa F.
    The design of thermal energy storage (TES) tank is the key part that can limit charging and discharging process. Most research findings highlight that the use of fins augments the heat transfer rate. This work experimentally investigates the use of aligned copper wools as fillers to enhance the thermal performance of a lab-scale shelland- tube TES tank filled with phase change material (PCM). Two copper wools with different fibre thicknesses were chosen and discretely laid around the TES tank tubes in two design patterns. Accordingly, five shell-andtube TES tank configurations were obtained, including the reference, for performance evaluation. The TES tank was loaded with n-octadecane as PCM for all the cases studied. The results showed up to a 16 % reduction in melting time with the inclusion of copper wool. The TES tank significantly increased the mean power during charging (53 %) and discharging (205 %). The addition of metal wool into the TES tank enables the PCM to release the heat at a constant temperature during the entire phase transition process. And the overall efficiency of the TES tank was found to get improved. Therefore, a copper wool integrated TES tank would be a beneficial addition to thermal energy storage systems.