LAPSE:2018.0159
Published Article
LAPSE:2018.0159
A Dynamic Optimization Model for Designing Open-Channel Raceway Ponds for Batch Production of Algal Biomass
Soumya Yadala, Selen Cremaschi
July 30, 2018
This work focuses on designing the optimum raceway pond by considering the effects of sunlight availability, temperature fluctuations, and harvest time on algae growth, and introduces a dynamic programing model to do so. Culture properties such as biomass productivity, growth rate, and concentration, and physical properties, such as average velocity, pond temperature, and rate of evaporation, were estimated daily depending on the dynamic behavior of solar zenith angle, diurnal pattern of solar irradiance, and temperature fluctuations at the location. Case studies consider two algae species (Phaeodactylum. tricornutum and Isochrysis. galbana) and four locations (Tulsa, USA; Hyderabad, India; Cape Town, South Africa; and Rio de Janeiro, Brazil). They investigate the influences of the type of algae strain and geographical location on algae biomass production costs. From our case studies, the combination of I. galbana species grown in Hyderabad, India, with a raceway pond geometry of 30 cm channel depth, about a meter channel width, and 300 m in length, and a harvest interval of every six days yielded the minimum algal biomass production costs. The results of the sensitivity analysis reveal that smaller channel depths and longer ponds (within the ranges considered) are recommended to minimize the net present cost of algae biomass production.
Keywords
algae cultivation, batch production, Dynamic Modelling, harvest period, mathematical programming, parameter optimization, raceway pond design
Suggested Citation
Yadala S, Cremaschi S. A Dynamic Optimization Model for Designing Open-Channel Raceway Ponds for Batch Production of Algal Biomass. (2018). LAPSE:2018.0159
Author Affiliations
Yadala S: Russell School of Chemical Engineering, The University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
Cremaschi S: Russell School of Chemical Engineering, The University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA [ORCID]
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Journal Name
Processes
Volume
4
Issue
2
Article Number
E10
Year
2016
Publication Date
2016-03-30
Published Version
ISSN
2227-9717
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PII: pr4020010, Publication Type: Journal Article
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LAPSE:2018.0159
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doi:10.3390/pr4020010
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Jul 30, 2018
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