Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production

doi:10.1002/bit.26483

	Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production
	Meng, Yingying 3,4; Shah, Nilay 1,2; del Rio-Chanona, Ehecatl A.1,2; Liu, Jiao 3,4; Wagner, Jonathan L.2; Zhang, Dongda 1,2; Xue, Song 3
刊名	BIOTECHNOLOGY AND BIOENGINEERING
	2018-02-01
卷号	115 期号:2 页码:359-370
关键词	Biodiesel Production Chlorophyll Fluorescence Dynamic Modeling Light Dark Cycle Model Predictive Capability Nitrogen Limiting
ISSN号	0006-3592
DOI	10.1002/bit.26483
文献子类	Article
英文摘要	Biodiesel produced from microalgae has been extensively studied due to its potentially outstanding advantages over traditional transportation fuels. In order to facilitate its industrialization and improve the process profitability, it is vital to construct highly accurate models capable of predicting the complex behavior of the investigated biosystem for process optimization and control, which forms the current research goal. Three original contributions are described in this paper. Firstly, a dynamic model is constructed to simulate the complicated effect of light intensity, nutrient supply and light attenuation on both biomass growth and biolipid production. Secondly, chlorophyll fluorescence, an instantly measurable variable and indicator of photosynthetic activity, is embedded into the model to monitor and update model accuracy especially for the purpose of future process optimal control, and its correlation between intracellular nitrogen content is quantified, which to the best of our knowledge has never been addressed so far. Thirdly, a thorough experimental verification is conducted under different scenarios including both continuous illumination and light/dark cycle conditions to testify the model predictive capability particularly for long-term operation, and it is concluded that the current model is characterized by a high level of predictive capability. Based on the model, the optimal light intensity for algal biomass growth and lipid synthesis is estimated. This work, therefore, paves the way to forward future process design and real-time optimization.
WOS关键词	CHLAMYDOMONAS-REINHARDTII ; NANNOCHLOROPSIS-SALINA ; BIOHYDROGEN PRODUCTION ; HYDROGEN-PRODUCTION ; LIPID-ACCUMULATION ; SULFUR DEPRIVATION ; GROWTH ; MICROALGAE ; OPTIMIZATION ; TEMPERATURE
WOS研究方向	Biotechnology & Applied Microbiology
语种	英语
出版者	WILEY
WOS记录号	WOS:000418919800009
内容类型	期刊论文
源URL	[http://cas-ir.dicp.ac.cn/handle/321008/169194]
专题	大连化学物理研究所_中国科学院大连化学物理研究所
通讯作者	Zhang, Dongda; Xue, Song
作者单位	1.Chinese Acad Sci, Dalian Inst Chem Phys, Marine Bioengn Grp, Dalian 16023, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Imperial Coll London, Ctr Proc Syst Engn, South Kensington Campus, London SW7 2AZ, England 4.Imperial Coll London, Dept Chem Engn, South Kensington Campus, London, England
推荐引用方式 GB/T 7714	Meng, Yingying,Shah, Nilay,del Rio-Chanona, Ehecatl A.,et al. Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production[J]. BIOTECHNOLOGY AND BIOENGINEERING,2018,115(2):359-370.
APA	Meng, Yingying.,Shah, Nilay.,del Rio-Chanona, Ehecatl A..,Liu, Jiao.,Wagner, Jonathan L..,...&Xue, Song.(2018).Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production.BIOTECHNOLOGY AND BIOENGINEERING,115(2),359-370.
MLA	Meng, Yingying,et al."Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production".BIOTECHNOLOGY AND BIOENGINEERING 115.2(2018):359-370.