Towards Sustainable Macroalgae Biorefineries: Advances in Predictive Modelling of a Green Seaweed Ulva...

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Meiron Zollmann Alexander Liberzon

Towards Sustainable Macroalgae Biorefineries

Advances in Predictive Modelling of a Green Seaweed Ulva sp. Cultivation

Meiron Zollmann, Alexander Liberzon, Alexander Golberg

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English

Springer International Publishing AG
28 July 2025

Ecological science, the Biosphere; Earth sciences; Biogeography; Sustainability; Environmental science, engineering & technology

Series: SpringerBriefs in Environmental Science

Summary
Details

Marine biorefineries of macroalgal (seaweed) feedstock are sustainable sources of food, materials, and energy, and can alleviate the growing pressure on land and freshwater resources. Development of an environmentally friendly seaweed biorefinery at an industrial scale requires a better understanding of the seaweeds’ life cycle and improving the inefficiency of on- and offshore cultivation technologies and downstream processing. This study addresses the challenges of developing a reliable, efficient, and continuous macroalgae feedstock supply through an enhanced understanding of the cultivation dynamics of the green macroalgae Ulva.

We identified and focused on six knowledge gaps in the macroalgae cultivation process: (i) insufficient knowledge regarding the combined effect of nutrient concentrations and relative water-thallus velocity on growth rates of Ulva sp.; (ii) lack of exergy analysis of macroalgae cultivation systems; (iii) poor information regarding the potential growth rates of macroalgae in the Eastern Mediterranean Sea (EMS) deep seawater (DSW) nutrient concentrations; (iv) a lack of high-resolution (time scale of hours-to-days) macroalgae growth and nutrient models describing the dynamics of ambient N concentrations, internal N content, and growth rate; (v) poor knowledge about nutrient and growth dynamics of Ulva sp. when cultivated in naturally varying environmental conditions offshore the EMS; and (vi) a lack of multi-scale nutrient removal and macroalgae growth dynamics model relating to temporal and spatial variations.

We attempt to fill these gaps by measuring growth rates and chemical compositions of Ulva sp. macroalgae in cultivation experiments in different systems and under different conditions and by developing models that progress from an energy balance model, through a basic growth model, to a more advanced physiological model, all based on experimental results. Altogether, we create a methodology and a framework for future precision seaweed farming.

By: Meiron Zollmann, Alexander Liberzon, Alexander Golberg
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031978609
ISBN 10: 3031978609
Series: SpringerBriefs in Environmental Science
Pages: 138
Publication Date: 28 July 2025
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active