结合进化算法和正交多项式参数化控制动作。沼气生产的应用。

M. Noriega, E. Gutiérrez, M. N. Pantano, M. C. Fernández, L. Rodriguez, G. Scaglia
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引用次数: 0

摘要

为了鼓励减少化石燃料的消耗并在能源市场上获得具有竞争力价格的生物燃料,有必要拥有具有高产量的经济生物工艺。残留污泥含有在环境工程中具有潜在应用价值的化合物,例如所谓的细胞外聚合物质,它可以保护细胞免受环境因素的影响。在本研究中,通过优化厌氧消化反应器的污泥进料剖面,寻求污水污泥中甲烷的产生。间歇投料生物工艺的优化是当前面临的挑战,是我们必须关注的问题。通过使用基于傅立叶级数和正交多项式结合进化算法的动态优化,将应用一种创新的方法来实现目标。该工具的优点是可以获得光滑的轮廓(连续的和可推导的),这拓宽了作用领域,避免了过度参数化,因为它使用了最少数量的参数进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combinación de algoritmos evolutivos y polinomios ortogonales para la parametrización de la acción de control. Aplicación a la producción de biogás.
In order to encourage the reduction of the fossil fuels consumption and obtain biofuels with competitive prices in the energy market, it is necessary to have economic bioprocesses with high production yields. Residual sludge contains compounds with potential application in environmental engineering, such as the socalled extracellular polymeric substances, which protect cells against environmental factors. In this study, the production of methane in sewage sludge is sought by optimizing the sludge feed profile to the reactor where anaerobic digestion will take place. The optimization of fed-batch bioprocesses is a current challenge, on which we must focus. An innovative method will be applied from which the objective is achieved, through the use of dynamic optimization based on the Fourier series and orthogonal polynomials combined with evolutive algorithms. This tool has the advantages of obtaining smooth profiles (continuous and derivable), which broadens the field of action and avoids overparameterization, since it uses a minimum number of parameters for optimization.
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