Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction
It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathway...
Ausführliche Beschreibung
Autor*in: |
Qian, Hongliang [verfasserIn] Chen, Wei [verfasserIn] Zhu, Weiwei [verfasserIn] Liu, Chang [verfasserIn] Lu, Xiaohua [verfasserIn] Guo, Xiaojing [verfasserIn] Huang, Dechun [verfasserIn] Liang, Xiaodong [verfasserIn] Kontogeorgis, Georgios M. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
Energie / Energieökonomik / Energietechnik / Energiemanagement / Energieforschung |
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Schlagwörter: |
Übergeordnetes Werk: |
Enthalten in: Energy - Amsterdam [u.a.] : Elsevier Science, 1976, 173, Seite 610-625 |
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Übergeordnetes Werk: |
volume:173 ; pages:610-625 |
DOI / URN: |
10.1016/j.energy.2019.01.152 |
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Katalog-ID: |
ELV001976117 |
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520 | |a It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. | ||
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10.1016/j.energy.2019.01.152 doi (DE-627)ELV001976117 (ELSEVIER)S0360-5442(19)30168-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Qian, Hongliang verfasserin aut Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Biomass utilization Gibbs energy minimization PBMP model Process evaluation Functional exergy efficiency Chen, Wei verfasserin aut Zhu, Weiwei verfasserin aut Liu, Chang verfasserin aut Lu, Xiaohua verfasserin aut Guo, Xiaojing verfasserin aut Huang, Dechun verfasserin aut Liang, Xiaodong verfasserin (orcid)0000-0002-2007-546X aut Kontogeorgis, Georgios M. verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 173, Seite 610-625 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:173 pages:610-625 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.70 Energie: Allgemeines AR 173 610-625 |
spelling |
10.1016/j.energy.2019.01.152 doi (DE-627)ELV001976117 (ELSEVIER)S0360-5442(19)30168-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Qian, Hongliang verfasserin aut Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Biomass utilization Gibbs energy minimization PBMP model Process evaluation Functional exergy efficiency Chen, Wei verfasserin aut Zhu, Weiwei verfasserin aut Liu, Chang verfasserin aut Lu, Xiaohua verfasserin aut Guo, Xiaojing verfasserin aut Huang, Dechun verfasserin aut Liang, Xiaodong verfasserin (orcid)0000-0002-2007-546X aut Kontogeorgis, Georgios M. verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 173, Seite 610-625 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:173 pages:610-625 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.70 Energie: Allgemeines AR 173 610-625 |
allfields_unstemmed |
10.1016/j.energy.2019.01.152 doi (DE-627)ELV001976117 (ELSEVIER)S0360-5442(19)30168-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Qian, Hongliang verfasserin aut Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Biomass utilization Gibbs energy minimization PBMP model Process evaluation Functional exergy efficiency Chen, Wei verfasserin aut Zhu, Weiwei verfasserin aut Liu, Chang verfasserin aut Lu, Xiaohua verfasserin aut Guo, Xiaojing verfasserin aut Huang, Dechun verfasserin aut Liang, Xiaodong verfasserin (orcid)0000-0002-2007-546X aut Kontogeorgis, Georgios M. verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 173, Seite 610-625 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:173 pages:610-625 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.70 Energie: Allgemeines AR 173 610-625 |
allfieldsGer |
10.1016/j.energy.2019.01.152 doi (DE-627)ELV001976117 (ELSEVIER)S0360-5442(19)30168-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Qian, Hongliang verfasserin aut Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Biomass utilization Gibbs energy minimization PBMP model Process evaluation Functional exergy efficiency Chen, Wei verfasserin aut Zhu, Weiwei verfasserin aut Liu, Chang verfasserin aut Lu, Xiaohua verfasserin aut Guo, Xiaojing verfasserin aut Huang, Dechun verfasserin aut Liang, Xiaodong verfasserin (orcid)0000-0002-2007-546X aut Kontogeorgis, Georgios M. verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 173, Seite 610-625 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:173 pages:610-625 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.70 Energie: Allgemeines AR 173 610-625 |
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10.1016/j.energy.2019.01.152 doi (DE-627)ELV001976117 (ELSEVIER)S0360-5442(19)30168-9 DE-627 ger DE-627 rda eng 600 DE-600 50.70 bkl Qian, Hongliang verfasserin aut Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Biomass utilization Gibbs energy minimization PBMP model Process evaluation Functional exergy efficiency Chen, Wei verfasserin aut Zhu, Weiwei verfasserin aut Liu, Chang verfasserin aut Lu, Xiaohua verfasserin aut Guo, Xiaojing verfasserin aut Huang, Dechun verfasserin aut Liang, Xiaodong verfasserin (orcid)0000-0002-2007-546X aut Kontogeorgis, Georgios M. verfasserin aut Enthalten in Energy Amsterdam [u.a.] : Elsevier Science, 1976 173, Seite 610-625 Online-Ressource (DE-627)320597903 (DE-600)2019804-8 (DE-576)116451815 1873-6785 nnns volume:173 pages:610-625 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.70 Energie: Allgemeines AR 173 610-625 |
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Enthalten in Energy 173, Seite 610-625 volume:173 pages:610-625 |
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Energie Energieökonomik Energietechnik Energiemanagement Energieforschung Biomass utilization Gibbs energy minimization PBMP model Process evaluation Functional exergy efficiency |
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Qian, Hongliang @@aut@@ Chen, Wei @@aut@@ Zhu, Weiwei @@aut@@ Liu, Chang @@aut@@ Lu, Xiaohua @@aut@@ Guo, Xiaojing @@aut@@ Huang, Dechun @@aut@@ Liang, Xiaodong @@aut@@ Kontogeorgis, Georgios M. @@aut@@ |
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2019-01-01T00:00:00Z |
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600 DE-600 50.70 bkl Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction 1.1\x Energie (DE-2867)14175-2 stw 1.2\x Energieökonomik (DE-2867)18350-4 stw 1.3\x Energietechnik (DE-2867)18353-5 stw 1.4\x Energiemanagement (DE-2867)18349-3 stw 1.5\x Energieforschung (DE-2867)18348-5 stw Biomass utilization Gibbs energy minimization PBMP model Process evaluation Functional exergy efficiency |
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ddc 600 bkl 50.70 stw Energie stw Energieökonomik stw Energietechnik stw Energiemanagement stw Energieforschung misc Biomass utilization misc Gibbs energy minimization misc PBMP model misc Process evaluation misc Functional exergy efficiency |
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ddc 600 bkl 50.70 stw Energie stw Energieökonomik stw Energietechnik stw Energiemanagement stw Energieforschung misc Biomass utilization misc Gibbs energy minimization misc PBMP model misc Process evaluation misc Functional exergy efficiency |
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ddc 600 bkl 50.70 stw Energie stw Energieökonomik stw Energietechnik stw Energiemanagement stw Energieforschung misc Biomass utilization misc Gibbs energy minimization misc PBMP model misc Process evaluation misc Functional exergy efficiency |
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Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction |
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Qian, Hongliang Chen, Wei Zhu, Weiwei Liu, Chang Lu, Xiaohua Guo, Xiaojing Huang, Dechun Liang, Xiaodong Kontogeorgis, Georgios M. |
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simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction |
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Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction |
abstract |
It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. |
abstractGer |
It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. |
abstract_unstemmed |
It is important to evaluate the utilization pathways of biomasses as there are different multiple choices for various types of biomasses. A method using the functional exergy efficiency as a unified protocol is proposed to evaluate the effectiveness of energy utilization in three utilization pathways of biomasses: pyrolysis, oxygen gasification and anaerobic digestion. The results show that straws are more suitable than manures used in the pyrolysis process. Functional exergy efficiencies of the oxygen gasification process of six biomasses are all higher than those of the pyrolysis process. The functional exergy efficiencies of the manures have increased, becoming close to those of straws. For the anaerobic digestion process, the functional exergy efficiencies of straws are generally lower than that of manures. Manures with low lignin content (chicken manure in this study) are more suitable as the feedstock of anaerobic digestion process. The functional exergy efficiencies of anaerobic digestion are lower than those of the pyrolysis and gasification processes while the temperature exceeds 850 °C. |
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Simulation and evaluation of utilization pathways of biomasses based on thermodynamic data prediction |
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Chen, Wei Zhu, Weiwei Liu, Chang Lu, Xiaohua Guo, Xiaojing Huang, Dechun Liang, Xiaodong Kontogeorgis, Georgios M. |
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score |
7.4021845 |