Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions
The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wiesberg, Igor Lapenda [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease - Soke, Fatih ELSEVIER, 2019, an international journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:150 ; year:2021 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.rser.2021.111486 |
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ELV055445705 |
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| 245 | 1 | 0 | |a Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions |
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| 520 | |a The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. | ||
| 520 | |a The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. | ||
| 650 | 7 | |a Bioenergy with carbon capture and storage |2 Elsevier | |
| 650 | 7 | |a Technical-economic assessment |2 Elsevier | |
| 650 | 7 | |a Cogeneration |2 Elsevier | |
| 650 | 7 | |a Combined heat and power |2 Elsevier | |
| 650 | 7 | |a CO2 capture |2 Elsevier | |
| 650 | 7 | |a Sugarcane bagasse |2 Elsevier | |
| 700 | 1 | |a de Medeiros, José Luiz |4 oth | |
| 700 | 1 | |a Paes de Mello, Raphael V. |4 oth | |
| 700 | 1 | |a Santos Maia, Jeiveison G.S. |4 oth | |
| 700 | 1 | |a Bastos, João Bruno V. |4 oth | |
| 700 | 1 | |a Araújo, Ofélia de Queiroz F. |4 oth | |
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10.1016/j.rser.2021.111486 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001516.pica (DE-627)ELV055445705 (ELSEVIER)S1364-0321(21)00767-X DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl 44.65 bkl Wiesberg, Igor Lapenda verfasserin aut Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. Bioenergy with carbon capture and storage Elsevier Technical-economic assessment Elsevier Cogeneration Elsevier Combined heat and power Elsevier CO2 capture Elsevier Sugarcane bagasse Elsevier de Medeiros, José Luiz oth Paes de Mello, Raphael V. oth Santos Maia, Jeiveison G.S. oth Bastos, João Bruno V. oth Araújo, Ofélia de Queiroz F. oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:150 year:2021 pages:0 https://doi.org/10.1016/j.rser.2021.111486 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 150 2021 0 |
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10.1016/j.rser.2021.111486 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001516.pica (DE-627)ELV055445705 (ELSEVIER)S1364-0321(21)00767-X DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl 44.65 bkl Wiesberg, Igor Lapenda verfasserin aut Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. Bioenergy with carbon capture and storage Elsevier Technical-economic assessment Elsevier Cogeneration Elsevier Combined heat and power Elsevier CO2 capture Elsevier Sugarcane bagasse Elsevier de Medeiros, José Luiz oth Paes de Mello, Raphael V. oth Santos Maia, Jeiveison G.S. oth Bastos, João Bruno V. oth Araújo, Ofélia de Queiroz F. oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:150 year:2021 pages:0 https://doi.org/10.1016/j.rser.2021.111486 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 150 2021 0 |
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10.1016/j.rser.2021.111486 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001516.pica (DE-627)ELV055445705 (ELSEVIER)S1364-0321(21)00767-X DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl 44.65 bkl Wiesberg, Igor Lapenda verfasserin aut Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. Bioenergy with carbon capture and storage Elsevier Technical-economic assessment Elsevier Cogeneration Elsevier Combined heat and power Elsevier CO2 capture Elsevier Sugarcane bagasse Elsevier de Medeiros, José Luiz oth Paes de Mello, Raphael V. oth Santos Maia, Jeiveison G.S. oth Bastos, João Bruno V. oth Araújo, Ofélia de Queiroz F. oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:150 year:2021 pages:0 https://doi.org/10.1016/j.rser.2021.111486 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 150 2021 0 |
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10.1016/j.rser.2021.111486 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001516.pica (DE-627)ELV055445705 (ELSEVIER)S1364-0321(21)00767-X DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl 44.65 bkl Wiesberg, Igor Lapenda verfasserin aut Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. Bioenergy with carbon capture and storage Elsevier Technical-economic assessment Elsevier Cogeneration Elsevier Combined heat and power Elsevier CO2 capture Elsevier Sugarcane bagasse Elsevier de Medeiros, José Luiz oth Paes de Mello, Raphael V. oth Santos Maia, Jeiveison G.S. oth Bastos, João Bruno V. oth Araújo, Ofélia de Queiroz F. oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:150 year:2021 pages:0 https://doi.org/10.1016/j.rser.2021.111486 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 150 2021 0 |
| allfieldsSound |
10.1016/j.rser.2021.111486 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001516.pica (DE-627)ELV055445705 (ELSEVIER)S1364-0321(21)00767-X DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl 44.65 bkl Wiesberg, Igor Lapenda verfasserin aut Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. Bioenergy with carbon capture and storage Elsevier Technical-economic assessment Elsevier Cogeneration Elsevier Combined heat and power Elsevier CO2 capture Elsevier Sugarcane bagasse Elsevier de Medeiros, José Luiz oth Paes de Mello, Raphael V. oth Santos Maia, Jeiveison G.S. oth Bastos, João Bruno V. oth Araújo, Ofélia de Queiroz F. oth Enthalten in Elsevier Science Soke, Fatih ELSEVIER Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease 2019 an international journal Amsterdam [u.a.] (DE-627)ELV003073483 volume:150 year:2021 pages:0 https://doi.org/10.1016/j.rser.2021.111486 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ 44.65 Chirurgie VZ AR 150 2021 0 |
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Enthalten in Reliability, validity and responsiveness of the squares test for manual dexterity in people with Parkinson’s disease Amsterdam [u.a.] volume:150 year:2021 pages:0 |
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bioenergy production from sugarcane bagasse with carbon capture and storage: surrogate models for techno-economic decisions |
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Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions |
| abstract |
The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. |
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The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. |
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The use of biomass in cogeneration is a sustainable alternative of energy production, allowing replacing fossil fuels and reduction of greenhouse gas emissions. This work discloses an integrated process analyzer framework comprising surrogate models for estimation of fixed capital investment, revenues, costs of manufacturing as well as several performance responses of cogeneration units of sugarcane-biorefineries burning bagasse, with/without post-combustion carbon capture and storage. A restricted number of inputs are required, namely bagasse availability and heat requirements of the sugarcane-biorefinery. To develop the investment models, a 3³ factorial computational-experimental design was performed, where AspenOne Portfolio was used in each run to simulate the process allowing estimating the fixed capital investment. Surrogate models were adjusted to fit capital estimates, resulting in 1.9% and 1.3% mean errors for the cogeneration and the post-combustion capture steps, respectively. Capture costs were estimated by analytical equations using the investment values and other estimates from the process analyzer framework, reaching 262 USD/t, but can be as low as 17.2 USD/t if limitations from the agricultural sector are disregarded; namely seasonality, operating time and capacity. The developed framework can assist in sugarcane-biorefinery investment decision making regarding bioenergy with carbon capture and storage or to develop carbon mitigation policies. |
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