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Dataset on economic analysis of mass production of algae in LED-based photobioreactors
The data presented in this article are related to the research article entitled “Sugar-stimulated CO(2) sequestration by the green microalga Chlorella vulgaris” (Fu et al., 2019) [1]. The data describe a rational design and scale-up of LED-based photobioreactors for producing value-added algal bioma...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299123/ https://www.ncbi.nlm.nih.gov/pubmed/30581917 http://dx.doi.org/10.1016/j.dib.2018.12.010 |
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author | Fu, Weiqi Gudmundsson, Steinn Wichuk, Kristine Palsson, Sirus Palsson, Bernhard O. Salehi-Ashtiani, Kourosh Brynjólfsson, Sigurður |
author_facet | Fu, Weiqi Gudmundsson, Steinn Wichuk, Kristine Palsson, Sirus Palsson, Bernhard O. Salehi-Ashtiani, Kourosh Brynjólfsson, Sigurður |
author_sort | Fu, Weiqi |
collection | PubMed |
description | The data presented in this article are related to the research article entitled “Sugar-stimulated CO(2) sequestration by the green microalga Chlorella vulgaris” (Fu et al., 2019) [1]. The data describe a rational design and scale-up of LED-based photobioreactors for producing value-added algal biomass while removing waste CO(2) from flu gases from power plants. The dataset were created from growth rate experiments for biomass production including direct biomass productivity data, PBR size and setup parameters, medium composition as well as indirect energy cost and overhead in Iceland. A complete economic analysis is formed through a cost breakdown as well as PBR scalability predictions. |
format | Online Article Text |
id | pubmed-6299123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62991232018-12-21 Dataset on economic analysis of mass production of algae in LED-based photobioreactors Fu, Weiqi Gudmundsson, Steinn Wichuk, Kristine Palsson, Sirus Palsson, Bernhard O. Salehi-Ashtiani, Kourosh Brynjólfsson, Sigurður Data Brief Energy The data presented in this article are related to the research article entitled “Sugar-stimulated CO(2) sequestration by the green microalga Chlorella vulgaris” (Fu et al., 2019) [1]. The data describe a rational design and scale-up of LED-based photobioreactors for producing value-added algal biomass while removing waste CO(2) from flu gases from power plants. The dataset were created from growth rate experiments for biomass production including direct biomass productivity data, PBR size and setup parameters, medium composition as well as indirect energy cost and overhead in Iceland. A complete economic analysis is formed through a cost breakdown as well as PBR scalability predictions. Elsevier 2018-12-07 /pmc/articles/PMC6299123/ /pubmed/30581917 http://dx.doi.org/10.1016/j.dib.2018.12.010 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Energy Fu, Weiqi Gudmundsson, Steinn Wichuk, Kristine Palsson, Sirus Palsson, Bernhard O. Salehi-Ashtiani, Kourosh Brynjólfsson, Sigurður Dataset on economic analysis of mass production of algae in LED-based photobioreactors |
title | Dataset on economic analysis of mass production of algae in LED-based photobioreactors |
title_full | Dataset on economic analysis of mass production of algae in LED-based photobioreactors |
title_fullStr | Dataset on economic analysis of mass production of algae in LED-based photobioreactors |
title_full_unstemmed | Dataset on economic analysis of mass production of algae in LED-based photobioreactors |
title_short | Dataset on economic analysis of mass production of algae in LED-based photobioreactors |
title_sort | dataset on economic analysis of mass production of algae in led-based photobioreactors |
topic | Energy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299123/ https://www.ncbi.nlm.nih.gov/pubmed/30581917 http://dx.doi.org/10.1016/j.dib.2018.12.010 |
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