A scheduling and planning algorithm for microalgal cultivation and harvesting for biofuel production

J. L.G. San Juan, A. P. Mayol, E. Sybingco, A. T. Ubando, A. B. Culaba, W. H. Chen, J. S. Chang

研究成果: Conference article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Microalgae is highlighted as the most feasible bioenergy feedstock because it can produce high amounts of lipids, carbohydrates, and hydrogen, which are necessary compounds for the production of various biofuels, while only requiring minimal water and land due to high photosynthetic efficiency. However, there are technical limitations that negatively influence the mass production of biofuel from algae, making it economically infeasible on a commercial scale. One of these bottlenecks exist in its cultivation. The cultivation method and system are critical in determining the amount and quality of biofuel that may be generated from the microalgae. Additionally, the peak biomass concentration, and productivities for the different compounds and nutrients within microalgae do not occur at the same time. Hence, this work proposes a planning tool for microalgae cultivation systems that incorporates species selection, and cultivation and harvesting approach selection and scheduling, while balancing the minimization of environmental impact and maximization of profit realized. The capabilities of the proposed decision support model is demonstrated through a hypothetical case study. Scenario analyses is likewise conducted to establish an understanding of system behavior and performance over time and under various conditions. The results of the computational experiments show the tools capabilities in simultaneously considering algae growth rates and compound productivities in decision making, for instance biomass species that is able to generate the most of a certain high value fuel is prioritized in cultivation and harvesting.

原文English
文章編號12010
期刊IOP Conference Series: Earth and Environmental Science
463
發行號1
DOIs
出版狀態Published - 2020 四月 6
事件International Conference on Sustainable Energy and Green Technology 2019, SEGT 2019 - Bangkok, Thailand
持續時間: 2019 十二月 112019 十二月 14

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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