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

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  • Vasilakou, K.
  • Nimmegeers, P.
  • Billen, P.
  • Van Passel, S.

Abstract

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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  • Vasilakou, K. & Nimmegeers, P. & Billen, P. & Van Passel, S., 2023. "Geospatial environmental techno-economic assessment of pretreatment technologies for bioethanol production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:rensus:v:187:y:2023:i:c:s1364032123006007
    DOI: 10.1016/j.rser.2023.113743
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