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Computational Thermal Sciences: An International Journal

Publication de 6  numéros par an

ISSN Imprimer: 1940-2503

ISSN En ligne: 1940-2554

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.5 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00017 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

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TRANSIENT ANALYSIS OF HEAT TRANSFER IN PARALLEL SQUARED CHANNELS FOR HIGH TEMPERATURE THERMAL STORAGE

Volume 7, Numéro 5-6, 2015, pp. 477-489
DOI: 10.1615/ComputThermalScien.2016015327
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RÉSUMÉ

An investigation on honeycomb solid matrix systems employed for high temperature thermal storage is provided numerically considering two models in the transient regime. The two models are related to a direct model with multiple channels and a porous medium model. The system with parallel squared section channels is described by a conjugated convective-conductive model by coupling the governing equations for fluid and solid matrix. The porous medium is modeled by assuming a Brinkman-Forchheimer-extended Darcy model and the LTNE is assumed. The models for different number of parallel squared channels or pores per unit of length (PPU) are considered. The honeycomb system is considered as an anisotropic porous medium, and assuming that the thermal storage system is adiabatic in order to estimate fluid dynamic and thermal characteristics for different PPU values. The Ansys-Fluent code is used to solve numerically the governing equations for both models. Results in terms of solid and fluid temperature profiles are given for different PPU values and for both models; they show that the two models are in very good agreement. The main consequence is that a honeycomb system can be simulated as a porous medium allowing a simpler numerical simulation also for parallel channel systems with high PPU. It is found that for high PPU systems the charging time decreases and for assigned partial charging time an increase in stored thermal energy is detected increasing the PPU value.

CITÉ PAR
  1. Andreozzi Assunta, Buonomo Bernardo, di Pasqua Anna, Ercole Davide, Manca Oronzio, Heat Transfer Behaviors of Parallel Plate Systems in Sensible Thermal Energy Storage, Energy Procedia, 126, 2017. Crossref

  2. Wang Chunyang, Mobedi Moghtada, Kuwahara Fujio, Nakayama Akira, A numerical study on acceleration of melting process under forced convection by using high thermal conductive porous media, Heat Transfer Engineering, 41, 8, 2020. Crossref

  3. Elarem Raja, Alqahtani Talal, Mellouli Sofiene, Askri Faouzi, Edacherian Abhilash, Vineet Tirth, Badruddin Irfan Anjum, Abdelmajid Jemni, A comprehensive review of heat transfer intensification methods for latent heat storage units, Energy Storage, 3, 1, 2021. Crossref

  4. Andreozzi Assunta, Buonomo Bernardo, Ercole Davide, Manca Oronzio, Solar energy latent thermal storage by phase change materials (PCMs) in a honeycomb system, Thermal Science and Engineering Progress, 6, 2018. Crossref

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