Optimization of biohydrogen production from microalgae by response surface methodology (RSM)

Mehrshad Nazarpour, Ahmad Taghizadeh-Alisaraei, Ali Asghari, Ahmad Abbaszadeh-Mayvan and Aliasghar Tatari

Energy, 2022, vol. 253, issue C

Abstract: In the present study, the design and fabrication of a micro-photobioreactor to produce the bio-hydrogen are aimed. Furthermore, the optimization of variables affecting hydrogen production was optimized using the response surface methodology (RSM). A quadratic model was used to predict the behavior of samples. The central composite design was applied using 20 treatments and 6 replications in the central points. Independent variables for evaluation included sulfur concentration (0.5–1%), run time (5–120 h) and algal biomass concentration (50–100 g/L). The results suggested that test length had a significant impact on hydrogen production and that sulfur content and biomass concentration had no significant effect on hydrogen production but did cause a little increase. The experimental values of response variable in these optimal conditions match the predicted values. Optimal conditions to produce bio-hydrogen were identified as the sulfur concentration of 0.75%, run time of 101.96 h, and biomass concentration of 53.31 g/L for maximum production of bio-hydrogen (66.32 mL g-VS−1). In conclusion, the response surface methodology can predict the production and extraction of bio-hydrogen in photobioreactors.

Keywords: Microalgae; Response surface methodology; Fuel; Photobioreactor; Biohydrogen (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:253:y:2022:i:c:s0360544222009628

DOI: 10.1016/j.energy.2022.124059

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