2016
DOI: 10.1007/s11367-016-1107-8
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Life cycle assessment of renewable diesel production from lignocellulosic biomass

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Cited by 30 publications
(9 citation statements)
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“…HDRD such as HVO, can be produced from the same feedstock as FAME, e.g., vegetable oils and animal fats, through a hydrotreating process. However, HDRD can be produced from a wider range of feedstock than FAME, and lignocellulosic feedstock, such as agricultural residues, forest residues, pulp and paper waste/by-product, are available with additional processing prior to hydrotreatment (Wong et al, 2016). The product of the process is paraffinic diesel and the plant capital costs are higher than that of transesterification process.…”
Section: J O U R N a L P R E -P R O O Fmentioning
confidence: 99%
“…HDRD such as HVO, can be produced from the same feedstock as FAME, e.g., vegetable oils and animal fats, through a hydrotreating process. However, HDRD can be produced from a wider range of feedstock than FAME, and lignocellulosic feedstock, such as agricultural residues, forest residues, pulp and paper waste/by-product, are available with additional processing prior to hydrotreatment (Wong et al, 2016). The product of the process is paraffinic diesel and the plant capital costs are higher than that of transesterification process.…”
Section: J O U R N a L P R E -P R O O Fmentioning
confidence: 99%
“…Electricity has been modelled as a specific source of electricity used in different countries, rather than as marginal electricity. In this article, all loads were considered using fossil diesel, not HVO or other non-fossil fuels [128]. Production capital, such as construction and transport vehicles, as well as the transport of workers to installations and electricity for offices, have been systematically omitted.…”
Section: Life Cycle Assessment Of Hydrogenated Vegetable Oilmentioning
confidence: 99%
“…As regards Monte Carlo simulations, the typical number amounted to 10,000, although the figures varied from 300 (Muñoz et al., 2020) to 10,000,000 (Wong et al., 2016). In the vast majority of cases, simulations were directly run on the input parameters’ uncertainty ranges, although pre‐filtering by removing non‐influential parameters and feeding only the relevant ones into the Monte Carlo‐based UA was performed through regression (Hsu et al., 2010; Jaxa‐Rozen et al., 2021) or OAT‐SA (Chiu & Lo, 2018).…”
Section: Resultsmentioning
confidence: 99%