Due to the world’s energy supply rapidly running out, alternative energy sources like bioethanol are desperately required. Vegetable waste is considered the primary feedstock for bioethanol production because of its high starch content. However, several process parameters could have an impact on bioethanol production. The optimization of bioethanol process parameters is crucial for achieving the highest yield. In this work, the Taguchi signal-to-noise ratio was utilized to determine the bioethanol’s maximum outcome by considering variable parameters at three different levels in bioethanol production. This study obtained bioethanol by optimizing the process parameters substrate concentration of levels (1/18, 1/15, 1/12 [weight/volume]), the pH of levels (4, 5, 6) and fermentation time of levels (24, 48, 72 h). This experiment results gave a maximum yield of 13.2% [volume/volume] at the optimized substrate concentration of 1/15 (weight/volume), pH of 6 and fermentation time of 72 h. This analysis observes fermentation time as the most significant parameter from the signal-to noise ratio table.

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Optimization of Process Parameters for Bioethanol Production from Vegetable Waste

  • Keetha Vivek,
  • Robba Mohan Chandu,
  • K. S. M. R. Vamsi,
  • M. Venu Madhav,
  • Sumita Debbarma

摘要

Due to the world’s energy supply rapidly running out, alternative energy sources like bioethanol are desperately required. Vegetable waste is considered the primary feedstock for bioethanol production because of its high starch content. However, several process parameters could have an impact on bioethanol production. The optimization of bioethanol process parameters is crucial for achieving the highest yield. In this work, the Taguchi signal-to-noise ratio was utilized to determine the bioethanol’s maximum outcome by considering variable parameters at three different levels in bioethanol production. This study obtained bioethanol by optimizing the process parameters substrate concentration of levels (1/18, 1/15, 1/12 [weight/volume]), the pH of levels (4, 5, 6) and fermentation time of levels (24, 48, 72 h). This experiment results gave a maximum yield of 13.2% [volume/volume] at the optimized substrate concentration of 1/15 (weight/volume), pH of 6 and fermentation time of 72 h. This analysis observes fermentation time as the most significant parameter from the signal-to noise ratio table.