Exergy assessment and techno-economic optimization of bioethanol production routes
[Display omitted] •Global analysis of bioenergy technological configurations.•Ranking of the sugarcane-based systems focuses on key performance indicators.•A decision support tool for the process design of sugarcane-based ethanol plants.•Renewability analysis of sugarcane biorefineries for mitigatin...
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•Global analysis of bioenergy technological configurations.•Ranking of the sugarcane-based systems focuses on key performance indicators.•A decision support tool for the process design of sugarcane-based ethanol plants.•Renewability analysis of sugarcane biorefineries for mitigating the environmental footprint.
Currently, electricity generation and second-generation ethanol production from lignocellulosic feedstocks represent technological alternatives in the bioenergy sector. Nevertheless, the introduction of new production processes denotes a real challenge due to the complexity and diversity of the pathways that can be evaluated. In addition, there are economic and environmental factors that must be considered during the development and consolidation of these new configurations. Accordingly, this paper presents a methodology to perform the exergy and exergo-environmental analysis, and ranking of sugarcane-based biorefineries. The proposed models assessed the Conventional (Route 1), Biochemical (Route 2), and Thermochemical (Route 3) pathways using simulation programs and mathematical tools to simulate the ethanol production and electricity generation. Furthermore, the process integration and different uses for the surplus bagasse were studied, aiming at the optimizing and ranking of routes. The results indicated optimal settings that allowed the routes ranking in terms of the renewability exergy index “λ”. In this context, the biochemical pathway (Route 2) presented the maximum exergy efficiency, therefore the lowest average unitary exergy cost of the evaluated platforms. This system that promoted an increase of 22% and 45% in the ethanol production, when compared to Route 1 and Route 3, respectively. Besides, the thermochemical pathway (Route 3) presented the configuration with the highest power generation rate. Concerning the environmental impact results, it was found that the most sustainable configuration was Route 2, which presented the lowest overall CO2 emissions rates (131.45 gCO2/MJ products). |
doi_str_mv | 10.1016/j.fuel.2020.118327 |
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•Global analysis of bioenergy technological configurations.•Ranking of the sugarcane-based systems focuses on key performance indicators.•A decision support tool for the process design of sugarcane-based ethanol plants.•Renewability analysis of sugarcane biorefineries for mitigating the environmental footprint.
Currently, electricity generation and second-generation ethanol production from lignocellulosic feedstocks represent technological alternatives in the bioenergy sector. Nevertheless, the introduction of new production processes denotes a real challenge due to the complexity and diversity of the pathways that can be evaluated. In addition, there are economic and environmental factors that must be considered during the development and consolidation of these new configurations. Accordingly, this paper presents a methodology to perform the exergy and exergo-environmental analysis, and ranking of sugarcane-based biorefineries. The proposed models assessed the Conventional (Route 1), Biochemical (Route 2), and Thermochemical (Route 3) pathways using simulation programs and mathematical tools to simulate the ethanol production and electricity generation. Furthermore, the process integration and different uses for the surplus bagasse were studied, aiming at the optimizing and ranking of routes. The results indicated optimal settings that allowed the routes ranking in terms of the renewability exergy index “λ”. In this context, the biochemical pathway (Route 2) presented the maximum exergy efficiency, therefore the lowest average unitary exergy cost of the evaluated platforms. This system that promoted an increase of 22% and 45% in the ethanol production, when compared to Route 1 and Route 3, respectively. Besides, the thermochemical pathway (Route 3) presented the configuration with the highest power generation rate. Concerning the environmental impact results, it was found that the most sustainable configuration was Route 2, which presented the lowest overall CO2 emissions rates (131.45 gCO2/MJ products).</description><identifier>ISSN: 0016-2361</identifier><identifier>EISSN: 1873-7153</identifier><identifier>DOI: 10.1016/j.fuel.2020.118327</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Bagasse ; Biofuels ; Biorefineries ; Carbon dioxide ; Carbon dioxide emissions ; Computer simulation ; Configurations ; Electricity ; Electricity generation ; Environmental factors ; Environmental impact ; Ethanol ; Ethanol conversion pathways ; Evaluation ; Exergo-environmental performance ; Exergy ; Exergy analysis ; Lignocellulose ; Lignocellulosic biomass ; Mathematical analysis ; Mathematical models ; Optimization ; Ranking ; Renewable energy ; Sugarcane ; Sugarcane biorefineries ; Thermodynamics</subject><ispartof>Fuel (Guildford), 2020-11, Vol.279, p.118327, Article 118327</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Nov 1, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-a2d0394033fc5f7c0da6f7496ea605afe1514586ca8dd52d0c3447a1a1fe13be3</citedby><cites>FETCH-LOGICAL-c328t-a2d0394033fc5f7c0da6f7496ea605afe1514586ca8dd52d0c3447a1a1fe13be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.fuel.2020.118327$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Silva Ortiz, Pablo A.</creatorcontrib><creatorcontrib>Maréchal, François</creatorcontrib><creatorcontrib>de Oliveira Junior, Silvio</creatorcontrib><title>Exergy assessment and techno-economic optimization of bioethanol production routes</title><title>Fuel (Guildford)</title><description>[Display omitted]
•Global analysis of bioenergy technological configurations.•Ranking of the sugarcane-based systems focuses on key performance indicators.•A decision support tool for the process design of sugarcane-based ethanol plants.•Renewability analysis of sugarcane biorefineries for mitigating the environmental footprint.
Currently, electricity generation and second-generation ethanol production from lignocellulosic feedstocks represent technological alternatives in the bioenergy sector. Nevertheless, the introduction of new production processes denotes a real challenge due to the complexity and diversity of the pathways that can be evaluated. In addition, there are economic and environmental factors that must be considered during the development and consolidation of these new configurations. Accordingly, this paper presents a methodology to perform the exergy and exergo-environmental analysis, and ranking of sugarcane-based biorefineries. The proposed models assessed the Conventional (Route 1), Biochemical (Route 2), and Thermochemical (Route 3) pathways using simulation programs and mathematical tools to simulate the ethanol production and electricity generation. Furthermore, the process integration and different uses for the surplus bagasse were studied, aiming at the optimizing and ranking of routes. The results indicated optimal settings that allowed the routes ranking in terms of the renewability exergy index “λ”. In this context, the biochemical pathway (Route 2) presented the maximum exergy efficiency, therefore the lowest average unitary exergy cost of the evaluated platforms. This system that promoted an increase of 22% and 45% in the ethanol production, when compared to Route 1 and Route 3, respectively. Besides, the thermochemical pathway (Route 3) presented the configuration with the highest power generation rate. Concerning the environmental impact results, it was found that the most sustainable configuration was Route 2, which presented the lowest overall CO2 emissions rates (131.45 gCO2/MJ products).</description><subject>Bagasse</subject><subject>Biofuels</subject><subject>Biorefineries</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide emissions</subject><subject>Computer simulation</subject><subject>Configurations</subject><subject>Electricity</subject><subject>Electricity generation</subject><subject>Environmental factors</subject><subject>Environmental impact</subject><subject>Ethanol</subject><subject>Ethanol conversion pathways</subject><subject>Evaluation</subject><subject>Exergo-environmental performance</subject><subject>Exergy</subject><subject>Exergy analysis</subject><subject>Lignocellulose</subject><subject>Lignocellulosic biomass</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Ranking</subject><subject>Renewable energy</subject><subject>Sugarcane</subject><subject>Sugarcane biorefineries</subject><subject>Thermodynamics</subject><issn>0016-2361</issn><issn>1873-7153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLAzEUhYMoWKt_wNWA66l5zUwKbqTUBxQE0XVIkxuboU1qkhH115s6rl1duOc79x4OQpcEzwgm7XU_swNsZxTTsiCC0e4ITYjoWN2Rhh2jCS5UTVlLTtFZSj3GuBMNn6Dn5SfEt69KpQQp7cDnSnlTZdAbH2rQwYed01XYZ7dz3yq74Ktgq7ULkDfKh221j8EM-leIYciQztGJVdsEF39zil7vli-Lh3r1dP-4uF3VmlGRa0UNZnOOGbO6sZ3GRrW24_MWVIsbZYE0hDei1UoY0xRYM847RRQpElsDm6Kr8W5J8D5AyrIPQ_TlpaSci1YIMSeFoiOlY0gpgpX76HYqfkmC5aE72ctDd_LQnRy7K6ab0QQl_4eDKJN24DUYF0FnaYL7z_4DfFt5LA</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Silva Ortiz, Pablo A.</creator><creator>Maréchal, François</creator><creator>de Oliveira Junior, Silvio</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>20201101</creationdate><title>Exergy assessment and techno-economic optimization of bioethanol production routes</title><author>Silva Ortiz, Pablo A. ; Maréchal, François ; de Oliveira Junior, Silvio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-a2d0394033fc5f7c0da6f7496ea605afe1514586ca8dd52d0c3447a1a1fe13be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bagasse</topic><topic>Biofuels</topic><topic>Biorefineries</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide emissions</topic><topic>Computer simulation</topic><topic>Configurations</topic><topic>Electricity</topic><topic>Electricity generation</topic><topic>Environmental factors</topic><topic>Environmental impact</topic><topic>Ethanol</topic><topic>Ethanol conversion pathways</topic><topic>Evaluation</topic><topic>Exergo-environmental performance</topic><topic>Exergy</topic><topic>Exergy analysis</topic><topic>Lignocellulose</topic><topic>Lignocellulosic biomass</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Ranking</topic><topic>Renewable energy</topic><topic>Sugarcane</topic><topic>Sugarcane biorefineries</topic><topic>Thermodynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva Ortiz, Pablo A.</creatorcontrib><creatorcontrib>Maréchal, François</creatorcontrib><creatorcontrib>de Oliveira Junior, Silvio</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Fuel (Guildford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva Ortiz, Pablo A.</au><au>Maréchal, François</au><au>de Oliveira Junior, Silvio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exergy assessment and techno-economic optimization of bioethanol production routes</atitle><jtitle>Fuel (Guildford)</jtitle><date>2020-11-01</date><risdate>2020</risdate><volume>279</volume><spage>118327</spage><pages>118327-</pages><artnum>118327</artnum><issn>0016-2361</issn><eissn>1873-7153</eissn><abstract>[Display omitted]
•Global analysis of bioenergy technological configurations.•Ranking of the sugarcane-based systems focuses on key performance indicators.•A decision support tool for the process design of sugarcane-based ethanol plants.•Renewability analysis of sugarcane biorefineries for mitigating the environmental footprint.
Currently, electricity generation and second-generation ethanol production from lignocellulosic feedstocks represent technological alternatives in the bioenergy sector. Nevertheless, the introduction of new production processes denotes a real challenge due to the complexity and diversity of the pathways that can be evaluated. In addition, there are economic and environmental factors that must be considered during the development and consolidation of these new configurations. Accordingly, this paper presents a methodology to perform the exergy and exergo-environmental analysis, and ranking of sugarcane-based biorefineries. The proposed models assessed the Conventional (Route 1), Biochemical (Route 2), and Thermochemical (Route 3) pathways using simulation programs and mathematical tools to simulate the ethanol production and electricity generation. Furthermore, the process integration and different uses for the surplus bagasse were studied, aiming at the optimizing and ranking of routes. The results indicated optimal settings that allowed the routes ranking in terms of the renewability exergy index “λ”. In this context, the biochemical pathway (Route 2) presented the maximum exergy efficiency, therefore the lowest average unitary exergy cost of the evaluated platforms. This system that promoted an increase of 22% and 45% in the ethanol production, when compared to Route 1 and Route 3, respectively. Besides, the thermochemical pathway (Route 3) presented the configuration with the highest power generation rate. Concerning the environmental impact results, it was found that the most sustainable configuration was Route 2, which presented the lowest overall CO2 emissions rates (131.45 gCO2/MJ products).</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.fuel.2020.118327</doi></addata></record> |
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subjects | Bagasse Biofuels Biorefineries Carbon dioxide Carbon dioxide emissions Computer simulation Configurations Electricity Electricity generation Environmental factors Environmental impact Ethanol Ethanol conversion pathways Evaluation Exergo-environmental performance Exergy Exergy analysis Lignocellulose Lignocellulosic biomass Mathematical analysis Mathematical models Optimization Ranking Renewable energy Sugarcane Sugarcane biorefineries Thermodynamics |
title | Exergy assessment and techno-economic optimization of bioethanol production routes |
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