0548199 20240903122921.720211118235959.9 85118804196 000718616900001 10.3390/en14217284 11 s. E cav_un_epca*03619451996-107314MDPI Microalgae Photosynthesis Thin-layer cascade bioreactor Dissolved oxygen CFD Mass transfer cav_un_auth*0016460 Petera K. CZ cav_un_auth*0404313 Papáček Štěpán UTIA-B Teorie řízení Department of Control Theory TŘ TR CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0417301 González C.I. ES cav_un_auth*0417302 Fernández-Sevilla J.M. ES cav_un_auth*0417303 Fernández F.G.A. ES 338,35 KB http://library.utia.cas.cz/separaty/2021/TR/papacek-0548199.pdf https://www.mdpi.com/1996-1073/14/21/7284 GA19-05872S GA ČR CZ cav_un_auth*0376352 High concentration of dissolved oxygen within microalgae cultures reduces the performance of corresponding microalgae cultivation system (MCS). The main aim of this study is to provide a reliable computational fluid dynamics (CFD)-based methodology enabling to simulate two relevant phenomena governing the distribution of dissolved oxygen within MCS: (i) mass transfer through the liquid–air interface and (ii) oxygen evolution due to microalgae photosynthesis including the inhibition by the same dissolved oxygen. On an open thin-layer cascade (TLC) reactor, a benchmark numerical study to assess the oxygen distribution was conducted. While the mass transfer phenomenon is embedded within CFD code ANSYS Fluent, the oxygen evolution rate has to be implemented via user-defined function (UDF). To validate our methodology, experimental data for dissolved oxygen distribution within the 80 meter long open thin-layer cascade reactor are compared against numerical results. Moreover, the consistency of numerical results with theoretical expectations has been shown on the newly derived differential equation describing the balance of dissolved oxygen along the longitudinal direction of TLC.We argue that employing our methodology, the dissolved oxygen distribution within any MCS can be reliably determined in silico, and eventually optimized or/and controlled. WOS BC 20000 20900 20902 2022 5 4 A sml 4as 20231122150108.9 RVO:67985556 http://hdl.handle.net/11104/0324436 1 cav_un_auth*0312136 Department of Process Engineering, Faculty of Mechanical Engineering, Czech Technical University in Prague CTU Mechanical Engineering CZ cav_un_auth*0417304 Chemical Engineering Department, University of Almería, Ctra. Sacramento s/n La Cañada de San Urbano, 04120 Almería, Spain UAL ES S MDPI Publications Copyright Transfer Form 20211003 7284 3+4 Article Energy Fuels A ENERGY&FUELS 3.333 0.927 2.6 0.07675 0.444 76498 175 0.653 50.29 3.67 57113 Q1 2.466 8369 Q3 33.2 Q4 Q3 0.45 Q3 33.193 2021 Soubory v repozitáři: papacek-0548199-Copyright transfer form.jpg 85118804196 SCOPUS PUBMED 000718616900001 WOS 338,35 KB cav_un_epca*0361945 Energies 1996-1073 1996-1073 Roč. 14 č. 21 2021 MDPI online