Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges
This article describes the key challenges and opportunities in modeling and optimization of biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial and aquatic biomass to bioenergy/biofuel products as well as power and heat with an emphasis on “drop-in” liquid hydro...
Gespeichert in:
Veröffentlicht in: | Computers & chemical engineering 2014-07, Vol.66, p.36-56 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 56 |
---|---|
container_issue | |
container_start_page | 36 |
container_title | Computers & chemical engineering |
container_volume | 66 |
creator | Yue, Dajun You, Fengqi Snyder, Seth W. |
description | This article describes the key challenges and opportunities in modeling and optimization of biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial and aquatic biomass to bioenergy/biofuel products as well as power and heat with an emphasis on “drop-in” liquid hydrocarbon fuels. Key components of the bioenergy supply chains are then presented, along with a comprehensive overview and classification of the existing contributions on biofuel/bioenergy supply chain optimization. This paper identifies fertile avenues for future research that focuses on multi-scale modeling and optimization, which allows the integration across spatial scales from unit operations to biorefinery processes and to biofuel value chains, as well as across temporal scales from operational level to strategic level. Perspectives on future biofuel supply chains that integrate with petroleum refinery supply chains and/or carbon capture and sequestration systems are presented. Issues on modeling of sustainability and the treatment of uncertainties in bioenergy supply chain optimization are also discussed. |
doi_str_mv | 10.1016/j.compchemeng.2013.11.016 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1642217132</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0098135413003670</els_id><sourcerecordid>1642217132</sourcerecordid><originalsourceid>FETCH-LOGICAL-c457t-a74799e12f9c7f751f6b793faf2c854ee9a4588691fd17b4251744ac4cadb3903</originalsourceid><addsrcrecordid>eNqNUMtOwzAQtBBIlMI_hBsHEryJU8fcoOIlVeoFzpbrrFuXJA52WlS-Hpdy4MhptZqHZoaQS6AZUJjcrDPt2l6vsMVumeUUigwgi8gRGUHFi5QVvDwmI0pFlUJRslNyFsKaUpqzqhoReW9dq0JIB5curMMO_XKXqK5O4mc22CRh0_fNLtErZbvE9YNt7ZcarOtuk_kW_dbi53XyjrvEhrDB8KON5KaJgTCckxOjmoAXv3dM3h4fXqfP6Wz-9DK9m6WalXxIFWdcCITcCM0NL8FMFlwURplcVyVDFIqVVTURYGrgC5aXwBlTmmlVLwpBizG5Ovj23n3EGINsbdDYNKpDtwkSJizPgUORR6o4ULV3IXg0sve2VX4ngcr9qHIt_4wq96NKABmRqJ0etBi7xOpeBm2x01hbj3qQtbP_cPkGoyGHtA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1642217132</pqid></control><display><type>article</type><title>Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Yue, Dajun ; You, Fengqi ; Snyder, Seth W.</creator><creatorcontrib>Yue, Dajun ; You, Fengqi ; Snyder, Seth W.</creatorcontrib><description>This article describes the key challenges and opportunities in modeling and optimization of biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial and aquatic biomass to bioenergy/biofuel products as well as power and heat with an emphasis on “drop-in” liquid hydrocarbon fuels. Key components of the bioenergy supply chains are then presented, along with a comprehensive overview and classification of the existing contributions on biofuel/bioenergy supply chain optimization. This paper identifies fertile avenues for future research that focuses on multi-scale modeling and optimization, which allows the integration across spatial scales from unit operations to biorefinery processes and to biofuel value chains, as well as across temporal scales from operational level to strategic level. Perspectives on future biofuel supply chains that integrate with petroleum refinery supply chains and/or carbon capture and sequestration systems are presented. Issues on modeling of sustainability and the treatment of uncertainties in bioenergy supply chain optimization are also discussed.</description><identifier>ISSN: 0098-1354</identifier><identifier>EISSN: 1873-4375</identifier><identifier>DOI: 10.1016/j.compchemeng.2013.11.016</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Bioenergy ; Biofuels ; Chemical engineering ; Computer simulation ; Fuels ; Mathematical models ; Mathematical programming ; Multi-scale modeling ; Optimization ; Renewable energy ; Supply chain modeling ; Supply chains ; Sustainability</subject><ispartof>Computers & chemical engineering, 2014-07, Vol.66, p.36-56</ispartof><rights>2013 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-a74799e12f9c7f751f6b793faf2c854ee9a4588691fd17b4251744ac4cadb3903</citedby><cites>FETCH-LOGICAL-c457t-a74799e12f9c7f751f6b793faf2c854ee9a4588691fd17b4251744ac4cadb3903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compchemeng.2013.11.016$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Yue, Dajun</creatorcontrib><creatorcontrib>You, Fengqi</creatorcontrib><creatorcontrib>Snyder, Seth W.</creatorcontrib><title>Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges</title><title>Computers & chemical engineering</title><description>This article describes the key challenges and opportunities in modeling and optimization of biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial and aquatic biomass to bioenergy/biofuel products as well as power and heat with an emphasis on “drop-in” liquid hydrocarbon fuels. Key components of the bioenergy supply chains are then presented, along with a comprehensive overview and classification of the existing contributions on biofuel/bioenergy supply chain optimization. This paper identifies fertile avenues for future research that focuses on multi-scale modeling and optimization, which allows the integration across spatial scales from unit operations to biorefinery processes and to biofuel value chains, as well as across temporal scales from operational level to strategic level. Perspectives on future biofuel supply chains that integrate with petroleum refinery supply chains and/or carbon capture and sequestration systems are presented. Issues on modeling of sustainability and the treatment of uncertainties in bioenergy supply chain optimization are also discussed.</description><subject>Bioenergy</subject><subject>Biofuels</subject><subject>Chemical engineering</subject><subject>Computer simulation</subject><subject>Fuels</subject><subject>Mathematical models</subject><subject>Mathematical programming</subject><subject>Multi-scale modeling</subject><subject>Optimization</subject><subject>Renewable energy</subject><subject>Supply chain modeling</subject><subject>Supply chains</subject><subject>Sustainability</subject><issn>0098-1354</issn><issn>1873-4375</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNUMtOwzAQtBBIlMI_hBsHEryJU8fcoOIlVeoFzpbrrFuXJA52WlS-Hpdy4MhptZqHZoaQS6AZUJjcrDPt2l6vsMVumeUUigwgi8gRGUHFi5QVvDwmI0pFlUJRslNyFsKaUpqzqhoReW9dq0JIB5curMMO_XKXqK5O4mc22CRh0_fNLtErZbvE9YNt7ZcarOtuk_kW_dbi53XyjrvEhrDB8KON5KaJgTCckxOjmoAXv3dM3h4fXqfP6Wz-9DK9m6WalXxIFWdcCITcCM0NL8FMFlwURplcVyVDFIqVVTURYGrgC5aXwBlTmmlVLwpBizG5Ovj23n3EGINsbdDYNKpDtwkSJizPgUORR6o4ULV3IXg0sve2VX4ngcr9qHIt_4wq96NKABmRqJ0etBi7xOpeBm2x01hbj3qQtbP_cPkGoyGHtA</recordid><startdate>20140704</startdate><enddate>20140704</enddate><creator>Yue, Dajun</creator><creator>You, Fengqi</creator><creator>Snyder, Seth W.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140704</creationdate><title>Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges</title><author>Yue, Dajun ; You, Fengqi ; Snyder, Seth W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-a74799e12f9c7f751f6b793faf2c854ee9a4588691fd17b4251744ac4cadb3903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Bioenergy</topic><topic>Biofuels</topic><topic>Chemical engineering</topic><topic>Computer simulation</topic><topic>Fuels</topic><topic>Mathematical models</topic><topic>Mathematical programming</topic><topic>Multi-scale modeling</topic><topic>Optimization</topic><topic>Renewable energy</topic><topic>Supply chain modeling</topic><topic>Supply chains</topic><topic>Sustainability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yue, Dajun</creatorcontrib><creatorcontrib>You, Fengqi</creatorcontrib><creatorcontrib>Snyder, Seth W.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers & chemical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yue, Dajun</au><au>You, Fengqi</au><au>Snyder, Seth W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges</atitle><jtitle>Computers & chemical engineering</jtitle><date>2014-07-04</date><risdate>2014</risdate><volume>66</volume><spage>36</spage><epage>56</epage><pages>36-56</pages><issn>0098-1354</issn><eissn>1873-4375</eissn><abstract>This article describes the key challenges and opportunities in modeling and optimization of biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial and aquatic biomass to bioenergy/biofuel products as well as power and heat with an emphasis on “drop-in” liquid hydrocarbon fuels. Key components of the bioenergy supply chains are then presented, along with a comprehensive overview and classification of the existing contributions on biofuel/bioenergy supply chain optimization. This paper identifies fertile avenues for future research that focuses on multi-scale modeling and optimization, which allows the integration across spatial scales from unit operations to biorefinery processes and to biofuel value chains, as well as across temporal scales from operational level to strategic level. Perspectives on future biofuel supply chains that integrate with petroleum refinery supply chains and/or carbon capture and sequestration systems are presented. Issues on modeling of sustainability and the treatment of uncertainties in bioenergy supply chain optimization are also discussed.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.compchemeng.2013.11.016</doi><tpages>21</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0098-1354 |
ispartof | Computers & chemical engineering, 2014-07, Vol.66, p.36-56 |
issn | 0098-1354 1873-4375 |
language | eng |
recordid | cdi_proquest_miscellaneous_1642217132 |
source | Elsevier ScienceDirect Journals Complete |
subjects | Bioenergy Biofuels Chemical engineering Computer simulation Fuels Mathematical models Mathematical programming Multi-scale modeling Optimization Renewable energy Supply chain modeling Supply chains Sustainability |
title | Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T05%3A58%3A39IST&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=Biomass-to-bioenergy%20and%20biofuel%20supply%20chain%20optimization:%20Overview,%20key%20issues%20and%20challenges&rft.jtitle=Computers%20&%20chemical%20engineering&rft.au=Yue,%20Dajun&rft.date=2014-07-04&rft.volume=66&rft.spage=36&rft.epage=56&rft.pages=36-56&rft.issn=0098-1354&rft.eissn=1873-4375&rft_id=info:doi/10.1016/j.compchemeng.2013.11.016&rft_dat=%3Cproquest_cross%3E1642217132%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=1642217132&rft_id=info:pmid/&rft_els_id=S0098135413003670&rfr_iscdi=true |