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作 者:Ziyu Liu Chaozong Liu Shujun Han Xiaoyi Yang
机构地区:[1]School of Energy and Power Engineering,Energy and Environment International Centre,Beihang University,China [2]Centre for Materials Research,University College London,UK [3]School of Aeronautic Science and Engineering,Beihang University,China
出 处:《Energy and AI》2022年第3期1-11,共11页能源与人工智能(英文)
摘 要:The purpose would discover the impacts of the contradictory factors in application of algae in CO_(2) sequestration with sustainable biofuel benefit. Based on LCA approach, the quantitively AI assessment model and approach have been established coupling upstream CO_(2) source and downstream algal product at the uniform algae level of Nannochloropsis oceanica, which would benefit for algae biofuel deliverables choice. The AI model investigated the effects of interaction factors on the energy consumption, including transportation distances with purification modes coupling with CO_(2) concentration in flue gas, lipid content with specific productivity coupling the nutrient supply, refining process with final products. Computational framework of AI model is classified into three submodels, including CO_(2) capture and purification model, algae cultivation and harvesting model, refining process and biofuel product model. According to uncertainty analysis by AI model, the positive energy gains have been conducted at a wide range of lipid contents despite of jet biofuel or biodiesel coupling solar energy utilization and by-product of bioactive nutrients effects. Biodieselwet and HTL-HRJ jet biofuel performed the priorities in energy consumption in three pathways of jet biofuel and three pathways of biodiesels. The allocation analysis confirmed that algae biofuel will be promising in the direction of cultivating appropriate algae for the target biofuel product requirement and enhancing by-product recovery. The results would enhance the interests in both LCA and CO_(2) sequestration with sustainable biofuel benefit.
关 键 词:CO_(2)sequestration Uncertainty analysis Jet biofuel BIODIESEL ALGAE LCA
分 类 号:TK16[动力工程及工程热物理—热能工程]
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