Model-Based Optimization of Microalgae Growth in a Batch Plant

被引：8

作者：

Albarello, A. ^{[1
,2
]}

Simionato, D. ^{[3
]}

Morosinotto, T. ^{[4
]}

Bezzo, F. ^{[1
,2
]}

机构：

[1] Univ Padua, Dept Ind Engn, CAPE Lab, Via Marzolo 9, I-35131 Padua, Italy

[2] Univ Padua, Dept Ind Engn, PAR Lab, Via Marzolo 9, I-35131 Padua, Italy

[3] TMCI Padovan SpA, Via Caduti Lavoro 7, I-31029 Vittorio Veneto, Italy

[4] Univ Padua, Dept Biol, PAR Lab, Via U Bassi 58-B, I-35131 Padua, Italy

来源：

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH | 2019年 / 58卷 / 13期

关键词：

SCENEDESMUS-OBLIQUUS; BIOMASS PRODUCTION; PRODUCTIVITY; TEMPERATURE; SIMULATION; LIGHT; POND;

D O I：

10.1021/acs.iecr.9b00270

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The economic sustainability of microalgae-based processes is still a major issue hindering the industrial application of such technologies. In this work, a mathematical model describing microalgae in varying light and temperature conditions is used to propose an optimized operation policy to increase productivity. The model is calibrated experimentally to describe the growth of Scenedesmus sp. cultivated in two outdoor pilot photobioreactors with different volumes and then used to maximize algal biomass productivity by proposing a new harvesting policy of the culture. Experimental tests showed that a significant productivity increase is achievable using the optimized procedure. Simulated tests also highlighted that the additional implementation of an optimal temperature control strategy may lead to double biomass production.

引用

页码：5121 / 5130

页数：10

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