GSTDTAP  > 气候变化
DOI10.1016/j.enpol.2017.01.013
Third generation algae biofuels in Italy by 2030: A scenario analysis using Bayesian networks
Gambelli, Danilo; Alberti, Francesca; Solfanelli, Francesco; Vairo, Daniela; Zanoli, Raffaele
2017-04-01
发表期刊ENERGY POLICY
ISSN0301-4215
EISSN1873-6777
出版年2017
卷号103
文章类型Article
语种英语
国家Italy
英文摘要

We have analysed the potential for biofuels from microalgae in the Italian biofuels context. This scenario analysis considers alternative pathways for the adoption of biofuels from microalgae by the year 2030. The scenarios were developed using a probabilistic approach based on Bayesian networks, through a structured process for elicitation of expert knowledge. We have identified the most and least favourable scenarios in terms of the expected likelihood for the development of the market of biofuels from microalgae, through which we have focussed on the contribution of economic and policy aspects in the development of the sector. A detailed analysis of the contribution of each variable in the context of the scenarios is also provided. These data represent a starting point for the evaluation of different policy options for the future biofuel market in Italy. The best scenario shows a 75% probability that biofuels from microalgae will exceed 20% of the biofuel market by 2030. This is conditional on the improvement and development of the technological changes and environmental policies, and of the markets for bioenergy and novel foods derived from microalgae.


英文关键词Advanced biofuels Microalgae Scenario analysis Bayesian networks Climate change Sustainability
领域气候变化
收录类别SCI-E ; SSCI
WOS记录号WOS:000397356000013
WOS关键词BIODIESEL PRODUCTION ; ENVIRONMENTAL IMPACTS ; EXPERT ELICITATION ; MICROALGAE ; POLICY ; OIL ; TECHNOLOGY ; EVOLUTION ; BALANCE ; EUROPE
WOS类目Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies
WOS研究方向Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/18780
专题气候变化
作者单位Univ Politecn Marche, Via Brecce Bianche, Ancona, Italy
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GB/T 7714
Gambelli, Danilo,Alberti, Francesca,Solfanelli, Francesco,et al. Third generation algae biofuels in Italy by 2030: A scenario analysis using Bayesian networks[J]. ENERGY POLICY,2017,103.
APA Gambelli, Danilo,Alberti, Francesca,Solfanelli, Francesco,Vairo, Daniela,&Zanoli, Raffaele.(2017).Third generation algae biofuels in Italy by 2030: A scenario analysis using Bayesian networks.ENERGY POLICY,103.
MLA Gambelli, Danilo,et al."Third generation algae biofuels in Italy by 2030: A scenario analysis using Bayesian networks".ENERGY POLICY 103(2017).
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