Design and Analysis of Offshore Macroalgae Biorefineries.

Coproducts Environmental exergonomics Exergy efficiency Fermentation Macroalgae Marine biorefinery design Offshore cultivation Seaweed

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
pubmed: 16 3 2018
medline: 21 10 2020
entrez: 16 3 2018
Statut: ppublish

Résumé

Displacing fossil fuels and their derivatives with renewables, and increasing sustainable food production are among the major challenges facing the world in the coming decades. A possible, sustainable direction for addressing this challenge is the production of biomass and the conversion of this biomass to the required products through a complex system coined biorefinery. Terrestrial biomass and microalgae are possible sources; however, concerns over net energy balance, potable water use, environmental hazards, and uncertainty in the processing technologies raise questions regarding their actual potential to meet the anticipated food, feed, and energy challenges in a sustainable way. Alternative sustainable sources for biorefineries are macroalgae grown and processed offshore. However, implementation of the offshore biorefineries requires detailed analysis of their technological, economic, and environmental performance. In this chapter, the basic principles of marine biorefineries design are shown. The methods to integrate thermodynamic efficiency, investment, and environmental aspects are discussed. The performance improvement by development of new cultivation methods that fit macroalgae physiology and development of new fermentation methods that address macroalgae unique chemical composition is shown.

Identifiants

pubmed: 29542056
doi: 10.1007/7651_2018_127
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9-33

Auteurs

Alexander Golberg (A)

Porter School of Environmental Studies, Tel Aviv University, Tel Aviv, Israel. agolberg@tauex.tau.ac.il.

Alexander Liberzon (A)

School of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.

Edward Vitkin (E)

Department of Computer Science, Technion, Haifa, Israel.

Zohar Yakhini (Z)

Department of Computer Science, Technion, Haifa, Israel.

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Classifications MeSH