Novel modeling paradigm for the algal production of biofuel

2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO) Pub Date : 2013-04-28 DOI:10.1109/ICMSAO.2013.6552697

Rohit Sharma, Avanish K. Tiwari, G. Kumar

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Abstract

Today, algae have recently received a lot of attention as a new biomass source for the production of renewable bio fuels. CO2, a green house gas is necessary for the culturing of microalgae. The main aim of this work is to study the interaction among the various factors affecting the growth rate and lipid production of different micro alga species from CO2 for the production of bio fuels. In this work the microalgae were modelled as independent agents. CO2 is assumed as the source of carbon for the growth and reproduction of microalgae. Algal systems can remove CO2 from flue gases. The effect of CO2 concentration, light intensity and reproduction ability was modelled in NetLogo software. Lipid production rate was also modelled. A comparison of how two different species behaved with respect to these variables was done by running the model with assigned selected values for these variables. It was found that under certain conditions the two species could have a synergistic effect on each other's growth and/or lipid production.

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藻类生产生物燃料的新模型范式

如今，藻类作为一种新的生物质资源，用于生产可再生生物燃料，受到了广泛的关注。二氧化碳是一种温室气体，是培养微藻所必需的。本工作的主要目的是研究影响不同微藻从二氧化碳中生产生物燃料的生长速度和产脂量的各种因素之间的相互作用。在这项工作中，微藻被建模为独立的个体。假设CO2是微藻生长繁殖的碳源。藻类系统可以从烟道气中去除二氧化碳。利用NetLogo软件模拟CO2浓度、光照强度和繁殖能力的影响。脂质生成速率也被模拟。通过为这些变量指定选定值，运行模型，比较两个不同物种在这些变量方面的表现。研究发现，在一定条件下，这两种植物对彼此的生长和/或脂质产生协同效应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)

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