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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Fuel (Guildford) 2020-11, Vol.279, p.118327, Article 118327
Hauptverfasser: Silva Ortiz, Pablo A., Maréchal, François, de Oliveira Junior, Silvio
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 118327
container_title Fuel (Guildford)
container_volume 279
creator Silva Ortiz, Pablo A.
Maréchal, François
de Oliveira Junior, Silvio
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).
doi_str_mv 10.1016/j.fuel.2020.118327
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2448688891</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0016236120313235</els_id><sourcerecordid>2448688891</sourcerecordid><originalsourceid>FETCH-LOGICAL-c328t-a2d0394033fc5f7c0da6f7496ea605afe1514586ca8dd52d0c3447a1a1fe13be3</originalsourceid><addsrcrecordid>eNp9kEtLAzEUhYMoWKt_wNWA66l5zUwKbqTUBxQE0XVIkxuboU1qkhH115s6rl1duOc79x4OQpcEzwgm7XU_swNsZxTTsiCC0e4ITYjoWN2Rhh2jCS5UTVlLTtFZSj3GuBMNn6Dn5SfEt69KpQQp7cDnSnlTZdAbH2rQwYed01XYZ7dz3yq74Ktgq7ULkDfKh221j8EM-leIYciQztGJVdsEF39zil7vli-Lh3r1dP-4uF3VmlGRa0UNZnOOGbO6sZ3GRrW24_MWVIsbZYE0hDei1UoY0xRYM847RRQpElsDm6Kr8W5J8D5AyrIPQ_TlpaSci1YIMSeFoiOlY0gpgpX76HYqfkmC5aE72ctDd_LQnRy7K6ab0QQl_4eDKJN24DUYF0FnaYL7z_4DfFt5LA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2448688891</pqid></control><display><type>article</type><title>Exergy assessment and techno-economic optimization of bioethanol production routes</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Silva Ortiz, Pablo A. ; Maréchal, François ; de Oliveira Junior, Silvio</creator><creatorcontrib>Silva Ortiz, Pablo A. ; Maréchal, François ; de Oliveira Junior, Silvio</creatorcontrib><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><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 &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 0016-2361
ispartof Fuel (Guildford), 2020-11, Vol.279, p.118327, Article 118327
issn 0016-2361
1873-7153
language eng
recordid cdi_proquest_journals_2448688891
source Elsevier ScienceDirect Journals Complete
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T13%3A42%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exergy%20assessment%20and%20techno-economic%20optimization%20of%20bioethanol%20production%20routes&rft.jtitle=Fuel%20(Guildford)&rft.au=Silva%20Ortiz,%20Pablo%20A.&rft.date=2020-11-01&rft.volume=279&rft.spage=118327&rft.pages=118327-&rft.artnum=118327&rft.issn=0016-2361&rft.eissn=1873-7153&rft_id=info:doi/10.1016/j.fuel.2020.118327&rft_dat=%3Cproquest_cross%3E2448688891%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2448688891&rft_id=info:pmid/&rft_els_id=S0016236120313235&rfr_iscdi=true