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Fertilizer assisted optimal cultivation of microalgae using response surface method and genetic algorithm for biofuel feedstock

Author

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  • Banerjee, Avik
  • Guria, Chandan
  • Maiti, Subodh K.

Abstract

Fertilizer based culture medium is formulated for the cultivation of Nannochloropsis sp. by selecting appropriate environmental parameters and nutrients. The influences of light intensity, temperature, NaCl, NaHCO3 and fertilizer are investigated on biomass, lipid and eicosapentaenoic acid productivity. Five-level-five-factor central composite design assisted response surface method is used for optimal cultivation of microalgae and results are compared with the genetic algorithm. A significant improvement in biomass, lipid and eicosapentaenoic acid productivity is obtained from the optimally formulated fertilizer medium using genetic algorithm over response surface method based fertilizer medium and standard culture medium. Using simple genetic algorithm, following optimal parameters, i.e., light intensity (μmol m−2 s−1), temperature (°C), NaCl (M), NaHCO3, (g L−1) and fertilizer (g L−1) are obtained for the maximum productivity of biomass (0.77 g L−1), lipid (47.91% of biomass) and eicosapentaenoic acid (26.67% of lipid): (125, 24.28, 0.55, 1.09, 1.07), (118, 21.79, 0.50, 1.13, 1.04) and (87.5, 17, 0.25, 1.09, 1.07), respectively. Two different multi-objective optimization problems are formulated and solved using elitist non-dominated sorting genetic algorithm to find the optimum operating variables resulting characteristic Pareto optimal solutions. Effects of the variables and their interactions on Nannochloropsis sp. cultivation, lipid and eicosapentaenoic acid productivity are successfully revealed.

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  • Banerjee, Avik & Guria, Chandan & Maiti, Subodh K., 2016. "Fertilizer assisted optimal cultivation of microalgae using response surface method and genetic algorithm for biofuel feedstock," Energy, Elsevier, vol. 115(P1), pages 1272-1290.
    • Handle: RePEc:eee:energy:v:115:y:2016:i:p1:p:1272-1290
    DOI: 10.1016/j.energy.2016.09.066
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    4. Kumar, Anup & Guria, Chandan & Pathak, Akhilendra K., 2018. "Optimal cultivation towards enhanced algae-biomass and lipid production using Dunaliella tertiolecta for biofuel application and potential CO2 bio-fixation: Effect of nitrogen deficient fertilizer, li," Energy, Elsevier, vol. 148(C), pages 1069-1086.
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    6. Jahromi, Farid Sadeghian & Beheshti, Masoud & Rajabi, Razieh Fereydon, 2018. "Comparison between differential evolution algorithms and response surface methodology in ethylene plant optimization based on an extended combined energy - exergy analysis," Energy, Elsevier, vol. 164(C), pages 1114-1134.

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