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Assessing global carbon sequestration and bioenergy potential from microalgae cultivation on marginal lands leveraging machine learning.
Chen, Minghao; Chen, Yixuan; Zhang, Qingtao.
Afiliação
  • Chen M; School of Engineering and Applied Sciences, Harvard University, MA, 02138 Cambridge, USA; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, MA 02139 Cambridge, USA.
  • Chen Y; Hydrological Bureau of Guangdong Province, Guangzhou 510145, China.
  • Zhang Q; Guangdong Provincial Key Laboratory for Marine Civil Engineering, School of Civil Engineering, Sun Yat-sen University (Zhuhai Campus), Zhuhai 519082, China. Electronic address: zhangqt6@mail.sysu.edu.cn.
Sci Total Environ ; 948: 174462, 2024 Oct 20.
Article em En | MEDLINE | ID: mdl-38992374
ABSTRACT
This comprehensive study unveils the vast global potential of microalgae as a sustainable bioenergy source, focusing on the utilization of marginal lands and employing advanced machine learning techniques to predict biomass productivity. By identifying approximately 7.37 million square kilometers of marginal lands suitable for microalgae cultivation, this research uncovers the extensive potential of these underutilized areas, particularly within equatorial and low-latitude regions, for microalgae bioenergy development. This approach mitigates the competition for food resources and conserves freshwater supplies. Utilizing cutting-edge machine learning algorithms based on robust datasets from global microalgae cultivation experiments spanning 1994 to 2017, this study integrates essential environmental variables to map out a detailed projection of potential yields across a variety of landscapes. The analysis further delineates the bioenergy and carbon sequestration potential across two effective cultivation

methods:

Photobioreactors (PBRs), and Open Ponds, with PBRs showcasing exceptional productivity, with a global average daily biomass productivity of 142.81mgL-1d-1, followed by Open Ponds at 122.57mgL-1d-1. Projections based on optimal PBR conditions suggest an annual yield of 99.54 gigatons of microalgae biomass. This yield can be transformed into 64.70 gigatons of biodiesel, equivalent to 58.68 gigatons of traditional diesel, while sequestering 182.16 gigatons of CO2, equating to approximately 4.5 times the global CO2 emissions projected for 2023. Notably, Australia leads in microalgae biomass production, with an annual output of 16.19 gigatons, followed by significant contributions from Kazakhstan, Sudan, Brazil, the United States, and China, showcasing the diverse global potential for microalgae bioenergy across varying ecological and geographical landscapes. Through this rigorous investigation, the study emphasizes the strategic importance of microalgae cultivation in achieving sustainable energy solutions and mitigating climate change, while also acknowledging the scalability challenges and the necessity for significant economic and energy investments.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomassa / Biocombustíveis / Microalgas / Sequestro de Carbono / Aprendizado de Máquina Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomassa / Biocombustíveis / Microalgas / Sequestro de Carbono / Aprendizado de Máquina Idioma: En Ano de publicação: 2024 Tipo de documento: Article