Abstract

Hydrogen has received considerable attention as a sustainable energy source to the future and biological hydrogen production has been gaining consideration as a potential method. One microorganism that produces hydrogen is the nitrogen-fixing cyanobacterium Cyanothece sp. ATCC 51142, which stands out for its rate of hydrogen production. However, there are still some challenges for understanding and improving the hydrogen production process by this cyanobacterium. Thus, this work aimed to perform an in silico study of a feeding profile strategy for hydrogen production by Cyanothece sp. ATCC 51142 in batch/fed-batch process to improve the amount of hydrogen generated during the process. Two meta-heuristic methods were used to find the best feeding profile and the switch time between batch and fed-batch modes. Hydrogen production is similar in the results of both methods, but PSO indicated a simpler feeding policy, leading to 19.5% more hydrogen produced than that reported in the literature.

摘要

氢作为未来的可持续能源受到了相当大的关注，生物制氢作为一种潜在的方法正在受到关注。一种产生氢气的微生物是固氮蓝藻Cyanothece sp。ATCC 51142，以其产氢率而著称。然而，理解和改进这种蓝藻的产氢过程仍然存在一些挑战。因此，这项工作旨在对Cyanothece制氢的进料曲线策略进行计算机模拟研究sp。ATCC 51142 在分批/补料分批过程中提高过程中产生的氢气量。两种元启发式方法被用于寻找最佳喂料曲线以及分批和补料分批模式之间的切换时间。两种方法的产氢结果相似，但 PSO 表明更简单的进料策略，导致产氢量比文献报道的多 19.5%。