Literature DB >> 10099515

Prediction of dissolved oxygen and carbon dioxide concentration profiles in tubular photobioreactors for microalgal culture

.   

Abstract

A model is developed for prediction of axial concentration profiles of dissolved oxygen and carbon dioxide in tubular photobioreactors used for culturing microalgae. Experimental data are used to verify the model for continuous outdoor culture of Porphyridium cruentum grown in a 200-L reactor with 100-m long tubular solar receiver. The culture was carried out at a dilution rate of 0.05 h-1 applied only during a 10-h daylight period. The quasi-steady state biomass concentration achieved was 3.0 g. L-1, corresponding to a biomass productivity of 1.5 g. L-1. d-1. The model could predict the dissolved oxygen level in both gas disengagement zone of the reactor and at the end of the loop, the exhaust gas composition, the amount of carbon dioxide injected, and the pH of the culture at each hour. In predicting the various parameters, the model took into account the length of the solar receiver tube, the rate of photosynthesis, the velocity of flow, the degree of mixing, and gas-liquid mass transfer. Because the model simulated the system behavior as a function of tube length and operational variables (superficial gas velocity in the riser, composition of carbon dioxide in the gas injected in the solar receiver and its injection rate), it could potentially be applied to rational design and scale-up of photobioreactors. Copyright 1999 John Wiley & Sons, Inc.

Entities:  

Year:  1999        PMID: 10099515     DOI: 10.1002/(sici)1097-0290(19990105)62:1<71::aid-bit9>3.0.co;2-t

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  2 in total

1.  Periodic CO2 Dosing Strategy for Dunaliella salina Batch Culture.

Authors:  Kezhen Ying; D James Gilmour; William B Zimmerman
Journal:  Int J Mol Sci       Date:  2015-05-19       Impact factor: 5.923

Review 2.  Microalgae Biomass as a New Potential Source of Sustainable Green Lubricants.

Authors:  Leonardo I Farfan-Cabrera; Mariana Franco-Morgado; Armando González-Sánchez; José Pérez-González; Benjamín M Marín-Santibáñez
Journal:  Molecules       Date:  2022-02-11       Impact factor: 4.411

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.