Geospatial environmental techno-economic assessment of pretreatment technologies for bioethanol production

生物燃料 温室气体 玉米秸秆 欧洲联盟 可再生能源 环境科学 生物量(生态学) 化石燃料 生命周期评估 环境保护 制浆造纸工业 生产(经济) 农业科学 农业经济学 环境工程 废物管理 工程类 业务 经济 农学 电气工程 宏观经济学 经济政策 生物 生态学
作者
Konstantina Vasilakou,Philippe Nimmegeers,Pieter Billen,Steven Van Passel
出处
期刊:Renewable & Sustainable Energy Reviews [Elsevier]
卷期号:187: 113743-113743
标识
DOI:10.1016/j.rser.2023.113743
摘要

Second-generation biofuels, starting from lignocellulosic biomass, are considered as a renewable alternative for fossil fuels with lower environmental impact and potentially higher supply and energy security. The economic and environmental performance of second-generation bioethanol production from corn stover in the European Union (EU) is studied, starting in Belgium as base case. A comparative environmental techno-economic assessment has been conducted, with process simulations in Aspen Plus and corn stover availability data in thirteen EU countries to calculate minimum ethanol selling prices (MESP) and Greenhouse gas emissions (GHGe). In this analysis, the emphasis is on the comparison of different pretreatment technologies, namely (i) dilute acid, (ii) alkaline, (iii) steam explosion and (iv) liquid hot water. Dilute acid showed the best economic and environmental performance for the base case scenario. Within the EU, Hungary and Romania presented the lowest MESP for the steam explosion model at 0.39 and 0.43 EUR/L respectively. Poland showed the lowest GHGe, at 0.46 kg CO2eq/L for the alkaline model, mainly due to the avoided product allocation on electricity and its high carbon intensity in the electricity generation sector. The second lowest GHGe were obtained in France for the dilute acid model and are attributed to its low agricultural emissions intensity. This study identifies a location-dependence of the economic and environmental performance of pretreatment technologies, which can be extrapolated from the EU to other large regions around the world and should be taken into consideration by decision-makers.
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