{"title":"Coarse grained CFD-DEM simulation of the convective cooling during the discharge process in spouted bed solar receivers","authors":"Arif Eren Özdemir , Görkem Külah , Murat Köksal","doi":"10.1016/j.partic.2025.05.026","DOIUrl":null,"url":null,"abstract":"<div><div>One of the emerging applications of spouted beds is their utilization as thermal energy storage units in concentrated solar power systems (CSP). Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) is one of the approaches to model multiphase flow reactors and gain insights into their behavior. Although several studies have used the CFD-DEM approach to investigate heat transfer in fluidized and spouted beds, research on CFD-DEM thermal modeling of spouted beds specifically as solar receivers in CSP systems remains limited. Therefore, the aim of this study is to evaluate the predictive capability of the CFD-DEM approach for modeling spouted bed thermal receivers and to gain insight into the hydrodynamic and thermal parameters that influence simulation results. An open-source program MFIX (Multiphase Flow with Interphase Exchanges) was used for model development. For model validation both cold and hot laboratory scale (15 cm cylindrical diameter, 60° conical angle) conical spouted beds were built and used in experiments. CFD-DEM simulations were carried out for Carbo HSP particles (<em>d</em><sub><em>p</em></sub> = 0.95 mm, <em>ρ</em><sub><em>p</em></sub> = 3630 kg/m<sup>3</sup>) at a static bed height of 100 mm. Throughout the study, the coarse-grained particle-DEM (CGP-DEM) method was used to reduce the computational time. The hydrodynamic simulation results indicate that gas-solid flow behavior in the spouted bed is well captured using both CGP-CFD-DEM and CFD-DEM approaches. The coarse-grained simulations of convective cooling during the discharge of a directly irradiated spouted bed with CarboHSP particles slightly underpredict the experimental cooling curve. Since the cooling curve is highly sensitive to wall boundary conditions, accurately determining these conditions is crucial for precise heat loss predictions. Furthermore, the coarse-grained particle diameter was found to have no significant effect on bed temperature.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"104 ","pages":"Pages 88-102"},"PeriodicalIF":4.3000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674200125001634","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
One of the emerging applications of spouted beds is their utilization as thermal energy storage units in concentrated solar power systems (CSP). Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) is one of the approaches to model multiphase flow reactors and gain insights into their behavior. Although several studies have used the CFD-DEM approach to investigate heat transfer in fluidized and spouted beds, research on CFD-DEM thermal modeling of spouted beds specifically as solar receivers in CSP systems remains limited. Therefore, the aim of this study is to evaluate the predictive capability of the CFD-DEM approach for modeling spouted bed thermal receivers and to gain insight into the hydrodynamic and thermal parameters that influence simulation results. An open-source program MFIX (Multiphase Flow with Interphase Exchanges) was used for model development. For model validation both cold and hot laboratory scale (15 cm cylindrical diameter, 60° conical angle) conical spouted beds were built and used in experiments. CFD-DEM simulations were carried out for Carbo HSP particles (dp = 0.95 mm, ρp = 3630 kg/m3) at a static bed height of 100 mm. Throughout the study, the coarse-grained particle-DEM (CGP-DEM) method was used to reduce the computational time. The hydrodynamic simulation results indicate that gas-solid flow behavior in the spouted bed is well captured using both CGP-CFD-DEM and CFD-DEM approaches. The coarse-grained simulations of convective cooling during the discharge of a directly irradiated spouted bed with CarboHSP particles slightly underpredict the experimental cooling curve. Since the cooling curve is highly sensitive to wall boundary conditions, accurately determining these conditions is crucial for precise heat loss predictions. Furthermore, the coarse-grained particle diameter was found to have no significant effect on bed temperature.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.