Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds

Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelin...
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Autor*in:	Diniz, Ana Paula M. M. [verfasserIn] Sargeant, Richard Millar, Graeme J.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Aviation biofuel Sustainable aviation fuel Conversion technologies Oilseeds Techno-economic analysis Stochastic models

Anmerkung:	© The Author(s) 2018

Übergeordnetes Werk:	Enthalten in: Biotechnology for biofuels - London : BioMed Central, 2008, 11(2018), 1 vom: 08. Juni
Übergeordnetes Werk:	volume:11 ; year:2018 ; number:1 ; day:08 ; month:06

Links:	Volltext

DOI / URN:	10.1186/s13068-018-1158-0

Katalog-ID:	SPR030156696

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520			\|a Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%.
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allfields	10.1186/s13068-018-1158-0 doi (DE-627)SPR030156696 (SPR)s13068-018-1158-0-e DE-627 ger DE-627 rakwb eng Diniz, Ana Paula M. M. verfasserin aut Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. Aviation biofuel (dpeaa)DE-He213 Sustainable aviation fuel (dpeaa)DE-He213 Conversion technologies (dpeaa)DE-He213 Oilseeds (dpeaa)DE-He213 Techno-economic analysis (dpeaa)DE-He213 Stochastic models (dpeaa)DE-He213 Sargeant, Richard aut Millar, Graeme J. (orcid)0000-0002-4902-5458 aut Enthalten in Biotechnology for biofuels London : BioMed Central, 2008 11(2018), 1 vom: 08. Juni (DE-627)563167882 (DE-600)2421351-2 1754-6834 nnns volume:11 year:2018 number:1 day:08 month:06 https://dx.doi.org/10.1186/s13068-018-1158-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 1 08 06
spelling	10.1186/s13068-018-1158-0 doi (DE-627)SPR030156696 (SPR)s13068-018-1158-0-e DE-627 ger DE-627 rakwb eng Diniz, Ana Paula M. M. verfasserin aut Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. Aviation biofuel (dpeaa)DE-He213 Sustainable aviation fuel (dpeaa)DE-He213 Conversion technologies (dpeaa)DE-He213 Oilseeds (dpeaa)DE-He213 Techno-economic analysis (dpeaa)DE-He213 Stochastic models (dpeaa)DE-He213 Sargeant, Richard aut Millar, Graeme J. (orcid)0000-0002-4902-5458 aut Enthalten in Biotechnology for biofuels London : BioMed Central, 2008 11(2018), 1 vom: 08. Juni (DE-627)563167882 (DE-600)2421351-2 1754-6834 nnns volume:11 year:2018 number:1 day:08 month:06 https://dx.doi.org/10.1186/s13068-018-1158-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 1 08 06
allfields_unstemmed	10.1186/s13068-018-1158-0 doi (DE-627)SPR030156696 (SPR)s13068-018-1158-0-e DE-627 ger DE-627 rakwb eng Diniz, Ana Paula M. M. verfasserin aut Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. Aviation biofuel (dpeaa)DE-He213 Sustainable aviation fuel (dpeaa)DE-He213 Conversion technologies (dpeaa)DE-He213 Oilseeds (dpeaa)DE-He213 Techno-economic analysis (dpeaa)DE-He213 Stochastic models (dpeaa)DE-He213 Sargeant, Richard aut Millar, Graeme J. (orcid)0000-0002-4902-5458 aut Enthalten in Biotechnology for biofuels London : BioMed Central, 2008 11(2018), 1 vom: 08. Juni (DE-627)563167882 (DE-600)2421351-2 1754-6834 nnns volume:11 year:2018 number:1 day:08 month:06 https://dx.doi.org/10.1186/s13068-018-1158-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 1 08 06
allfieldsGer	10.1186/s13068-018-1158-0 doi (DE-627)SPR030156696 (SPR)s13068-018-1158-0-e DE-627 ger DE-627 rakwb eng Diniz, Ana Paula M. M. verfasserin aut Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. Aviation biofuel (dpeaa)DE-He213 Sustainable aviation fuel (dpeaa)DE-He213 Conversion technologies (dpeaa)DE-He213 Oilseeds (dpeaa)DE-He213 Techno-economic analysis (dpeaa)DE-He213 Stochastic models (dpeaa)DE-He213 Sargeant, Richard aut Millar, Graeme J. (orcid)0000-0002-4902-5458 aut Enthalten in Biotechnology for biofuels London : BioMed Central, 2008 11(2018), 1 vom: 08. Juni (DE-627)563167882 (DE-600)2421351-2 1754-6834 nnns volume:11 year:2018 number:1 day:08 month:06 https://dx.doi.org/10.1186/s13068-018-1158-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 1 08 06
allfieldsSound	10.1186/s13068-018-1158-0 doi (DE-627)SPR030156696 (SPR)s13068-018-1158-0-e DE-627 ger DE-627 rakwb eng Diniz, Ana Paula M. M. verfasserin aut Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. Aviation biofuel (dpeaa)DE-He213 Sustainable aviation fuel (dpeaa)DE-He213 Conversion technologies (dpeaa)DE-He213 Oilseeds (dpeaa)DE-He213 Techno-economic analysis (dpeaa)DE-He213 Stochastic models (dpeaa)DE-He213 Sargeant, Richard aut Millar, Graeme J. (orcid)0000-0002-4902-5458 aut Enthalten in Biotechnology for biofuels London : BioMed Central, 2008 11(2018), 1 vom: 08. Juni (DE-627)563167882 (DE-600)2421351-2 1754-6834 nnns volume:11 year:2018 number:1 day:08 month:06 https://dx.doi.org/10.1186/s13068-018-1158-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 1 08 06
language	English
source	Enthalten in Biotechnology for biofuels 11(2018), 1 vom: 08. Juni volume:11 year:2018 number:1 day:08 month:06
sourceStr	Enthalten in Biotechnology for biofuels 11(2018), 1 vom: 08. Juni volume:11 year:2018 number:1 day:08 month:06
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Aviation biofuel Sustainable aviation fuel Conversion technologies Oilseeds Techno-economic analysis Stochastic models
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container_title	Biotechnology for biofuels
authorswithroles_txt_mv	Diniz, Ana Paula M. M. @@aut@@ Sargeant, Richard @@aut@@ Millar, Graeme J. @@aut@@
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M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. 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author	Diniz, Ana Paula M. M.
spellingShingle	Diniz, Ana Paula M. M. misc Aviation biofuel misc Sustainable aviation fuel misc Conversion technologies misc Oilseeds misc Techno-economic analysis misc Stochastic models Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds
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topic_title	Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds Aviation biofuel (dpeaa)DE-He213 Sustainable aviation fuel (dpeaa)DE-He213 Conversion technologies (dpeaa)DE-He213 Oilseeds (dpeaa)DE-He213 Techno-economic analysis (dpeaa)DE-He213 Stochastic models (dpeaa)DE-He213
topic	misc Aviation biofuel misc Sustainable aviation fuel misc Conversion technologies misc Oilseeds misc Techno-economic analysis misc Stochastic models
topic_unstemmed	misc Aviation biofuel misc Sustainable aviation fuel misc Conversion technologies misc Oilseeds misc Techno-economic analysis misc Stochastic models
topic_browse	misc Aviation biofuel misc Sustainable aviation fuel misc Conversion technologies misc Oilseeds misc Techno-economic analysis misc Stochastic models
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title	Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds
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title_full	Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds
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author_browse	Diniz, Ana Paula M. M. Sargeant, Richard Millar, Graeme J.
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author-letter	Diniz, Ana Paula M. M.
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title_sort	stochastic techno-economic analysis of the production of aviation biofuel from oilseeds
title_auth	Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds
abstract	Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. © The Author(s) 2018
abstractGer	Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. © The Author(s) 2018
abstract_unstemmed	Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. Conclusions Camelina, Carinata and Jatropha plants targeting HRJ required incentives of 0.31, 0.39 and 0.61 US$/L of biofuel produced, respectively, to reduce the probabilities of loss to approximately 30%. © The Author(s) 2018
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title_short	Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds
url	https://dx.doi.org/10.1186/s13068-018-1158-0
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up_date	2024-07-03T14:19:58.007Z
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M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background The economic viability of hydrodeoxygenation process using Camelina, Carinata and Jatropha feedstocks for aviation biofuel production was evaluated for two product profiles: (i) maximum diesel production and (ii) maximum jet fuel production (HRJ). Results Deterministic analysis of Camelina and Carinata diesel facilities returned positive NPVs and IRRs of 25 and 18%, respectively. Stochastic analysis suggested that the probabilities of positive NPVs were 75, 59 and 15%, respectively, for Camelina, Carinata and Jatropha diesel plants. Jet fuel facilities presented probabilities of loss of 98, 99 and 100% for Camelina, Carinata and Jatropha scenarios, respectively. Sensitivity analysis determined that financial performance was majorly influenced by feedstock and fuel prices. Categories of subsidies to enhance the attractiveness of the projects were studied. 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Stochastic techno-economic analysis of the production of aviation biofuel from oilseeds

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