GIS method to design and assess the transportation performance of a decentralized biorefinery supply system and comparison with a centralized system: case study in southern Quebec, Canada
A decentralized supply chain that integrates biomass depots as an intermediate pre‐processing hub may be an efficient way to obtain stable and dense non‐food carbohydrate commodities that are economically transportable over long distances. This paper presents an integrated geographic information sys...
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description | A decentralized supply chain that integrates biomass depots as an intermediate pre‐processing hub may be an efficient way to obtain stable and dense non‐food carbohydrate commodities that are economically transportable over long distances. This paper presents an integrated geographic information systems (GIS) method based on transport optimization to design and compare the performance of a decentralized versus a centralized biorefinery supply system. The method determines the suitable locations, allocations, sizing, and number of depots according to different demand location scenarios. The method is exemplified by a real case study in southern Quebec. In the design, the biomass depot generates raw sugar, shipped to the biorefinery, and co‐products that are used on site without transportation as animal feed and bioenergy. This diversification strategy provided by a joint production permits savings amounting to two‐thirds of the tonnage on the second transportation arc. The results present the average travel time performance in minutes in different scenarios. In the centralized configuration, the optimized stand‐alone biorefinery location scenario is 45% (59 min) and 58% (100 min) more efficient in terms of transportation than the two biorefineries located in existing industrial parks. However, the latter have a decentralized configuration that is more efficient than their centralized equivalents. In the decentralized configuration, depending on farmer participation, the biorefineries located in the existing industrial park have a transportation performance 16–42% (27–55 min) that is more efficient than their respective centralized configuration. Smaller depots and the use of numerous depots tend to reduce the average impedance as biomass availability increases. This is due to the economies of transportation related to a denser and more meshed network. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd |
doi_str_mv | 10.1002/bbb.1960 |
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This paper presents an integrated geographic information systems (GIS) method based on transport optimization to design and compare the performance of a decentralized versus a centralized biorefinery supply system. The method determines the suitable locations, allocations, sizing, and number of depots according to different demand location scenarios. The method is exemplified by a real case study in southern Quebec. In the design, the biomass depot generates raw sugar, shipped to the biorefinery, and co‐products that are used on site without transportation as animal feed and bioenergy. This diversification strategy provided by a joint production permits savings amounting to two‐thirds of the tonnage on the second transportation arc. The results present the average travel time performance in minutes in different scenarios. In the centralized configuration, the optimized stand‐alone biorefinery location scenario is 45% (59 min) and 58% (100 min) more efficient in terms of transportation than the two biorefineries located in existing industrial parks. However, the latter have a decentralized configuration that is more efficient than their centralized equivalents. In the decentralized configuration, depending on farmer participation, the biorefineries located in the existing industrial park have a transportation performance 16–42% (27–55 min) that is more efficient than their respective centralized configuration. Smaller depots and the use of numerous depots tend to reduce the average impedance as biomass availability increases. This is due to the economies of transportation related to a denser and more meshed network. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd</description><identifier>ISSN: 1932-104X</identifier><identifier>EISSN: 1932-1031</identifier><identifier>DOI: 10.1002/bbb.1960</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Allocations ; Alternative energy sources ; Animal feed ; Biomass ; biomass depot ; Biorefineries ; Carbohydrates ; Case studies ; Commodities ; Configurations ; co‐products valorization ; decentralized supply chain ; Design ; Design optimization ; feedstock logistics ; Geographic information systems ; Geographical information systems ; Industrial areas ; Industrial parks ; Industrial plants ; Information systems ; local circular bioeconomy ; Organic chemistry ; Refining ; Remote sensing ; Renewable energy ; Saccharides ; Satellite navigation systems ; second‐generation biorefinery ; Sugar ; Supply chains ; Tonnage ; Transportation ; Travel time</subject><ispartof>Biofuels, bioproducts and biorefining, 2019-05, Vol.13 (3), p.552-567</ispartof><rights>2019 Society of Chemical Industry and John Wiley & Sons, Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3300-400fb6405011e79c2f22f8dab0c2115933301e6311dbecffa16ce71d0e60b1b93</citedby><cites>FETCH-LOGICAL-c3300-400fb6405011e79c2f22f8dab0c2115933301e6311dbecffa16ce71d0e60b1b93</cites><orcidid>0000-0001-7725-3960</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fbbb.1960$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbbb.1960$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Lemire, Pierre‐Olivier</creatorcontrib><creatorcontrib>Delcroix, Benoit</creatorcontrib><creatorcontrib>Audy, Jean‐François</creatorcontrib><creatorcontrib>Labelle, François</creatorcontrib><creatorcontrib>Mangin, Patrice</creatorcontrib><creatorcontrib>Barnabé, Simon</creatorcontrib><title>GIS method to design and assess the transportation performance of a decentralized biorefinery supply system and comparison with a centralized system: case study in southern Quebec, Canada</title><title>Biofuels, bioproducts and biorefining</title><description>A decentralized supply chain that integrates biomass depots as an intermediate pre‐processing hub may be an efficient way to obtain stable and dense non‐food carbohydrate commodities that are economically transportable over long distances. This paper presents an integrated geographic information systems (GIS) method based on transport optimization to design and compare the performance of a decentralized versus a centralized biorefinery supply system. The method determines the suitable locations, allocations, sizing, and number of depots according to different demand location scenarios. The method is exemplified by a real case study in southern Quebec. In the design, the biomass depot generates raw sugar, shipped to the biorefinery, and co‐products that are used on site without transportation as animal feed and bioenergy. This diversification strategy provided by a joint production permits savings amounting to two‐thirds of the tonnage on the second transportation arc. The results present the average travel time performance in minutes in different scenarios. In the centralized configuration, the optimized stand‐alone biorefinery location scenario is 45% (59 min) and 58% (100 min) more efficient in terms of transportation than the two biorefineries located in existing industrial parks. However, the latter have a decentralized configuration that is more efficient than their centralized equivalents. In the decentralized configuration, depending on farmer participation, the biorefineries located in the existing industrial park have a transportation performance 16–42% (27–55 min) that is more efficient than their respective centralized configuration. Smaller depots and the use of numerous depots tend to reduce the average impedance as biomass availability increases. This is due to the economies of transportation related to a denser and more meshed network. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd</description><subject>Allocations</subject><subject>Alternative energy sources</subject><subject>Animal feed</subject><subject>Biomass</subject><subject>biomass depot</subject><subject>Biorefineries</subject><subject>Carbohydrates</subject><subject>Case studies</subject><subject>Commodities</subject><subject>Configurations</subject><subject>co‐products valorization</subject><subject>decentralized supply chain</subject><subject>Design</subject><subject>Design optimization</subject><subject>feedstock logistics</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Industrial areas</subject><subject>Industrial parks</subject><subject>Industrial plants</subject><subject>Information systems</subject><subject>local circular bioeconomy</subject><subject>Organic chemistry</subject><subject>Refining</subject><subject>Remote sensing</subject><subject>Renewable energy</subject><subject>Saccharides</subject><subject>Satellite navigation systems</subject><subject>second‐generation biorefinery</subject><subject>Sugar</subject><subject>Supply chains</subject><subject>Tonnage</subject><subject>Transportation</subject><subject>Travel time</subject><issn>1932-104X</issn><issn>1932-1031</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kUGL1EAQhYMouK6CP6HAiwezViWTzMSbM-juwoKICt5Cp7va6WXSHbs6LPGv-efs2VnEi6dXh--9KuoVxUvCC0Ks3g7DcEFdi4-KM-rqqiSs6fHfefX9afFM5BaxaZtVc1b8vrz-AiOnfTCQAhgW98OD8gaUCItA2jOkqLxMISaVXPAwcbQhjsprhmBBZZdmn6GD-8UGBhciW-c5LiDzNB2yLJJ4vI_VYZxUdJJz7lzaZ_e_3hP4DrQSBkmzWcB5kDDnM6KHzzMPrN_ATnll1PPiiVUH4RcPel58-_jh6-6qvPl0eb17f1PqukYsV4h2aFfYIBGvO13ZqrIbowbUFVHT1Zkibmsik8OtVdRqXpNBbnGgoavPi1en3CmGnzNL6m_DHH1e2VcVbXDdbuoj9fpE6RhE8gf6KbpRxaUn7I_V9Lma_lhNRssTeucOvPyX67fb7T3_B_wck2k</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Lemire, Pierre‐Olivier</creator><creator>Delcroix, Benoit</creator><creator>Audy, Jean‐François</creator><creator>Labelle, François</creator><creator>Mangin, Patrice</creator><creator>Barnabé, Simon</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</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>7ST</scope><scope>7TA</scope><scope>7TB</scope><scope>7TN</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H95</scope><scope>H98</scope><scope>H99</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.F</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-7725-3960</orcidid></search><sort><creationdate>201905</creationdate><title>GIS method to design and assess the transportation performance of a decentralized biorefinery supply system and comparison with a centralized system: case study in southern Quebec, Canada</title><author>Lemire, Pierre‐Olivier ; 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This paper presents an integrated geographic information systems (GIS) method based on transport optimization to design and compare the performance of a decentralized versus a centralized biorefinery supply system. The method determines the suitable locations, allocations, sizing, and number of depots according to different demand location scenarios. The method is exemplified by a real case study in southern Quebec. In the design, the biomass depot generates raw sugar, shipped to the biorefinery, and co‐products that are used on site without transportation as animal feed and bioenergy. This diversification strategy provided by a joint production permits savings amounting to two‐thirds of the tonnage on the second transportation arc. The results present the average travel time performance in minutes in different scenarios. In the centralized configuration, the optimized stand‐alone biorefinery location scenario is 45% (59 min) and 58% (100 min) more efficient in terms of transportation than the two biorefineries located in existing industrial parks. However, the latter have a decentralized configuration that is more efficient than their centralized equivalents. In the decentralized configuration, depending on farmer participation, the biorefineries located in the existing industrial park have a transportation performance 16–42% (27–55 min) that is more efficient than their respective centralized configuration. Smaller depots and the use of numerous depots tend to reduce the average impedance as biomass availability increases. This is due to the economies of transportation related to a denser and more meshed network. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/bbb.1960</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-7725-3960</orcidid></addata></record> |
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subjects | Allocations Alternative energy sources Animal feed Biomass biomass depot Biorefineries Carbohydrates Case studies Commodities Configurations co‐products valorization decentralized supply chain Design Design optimization feedstock logistics Geographic information systems Geographical information systems Industrial areas Industrial parks Industrial plants Information systems local circular bioeconomy Organic chemistry Refining Remote sensing Renewable energy Saccharides Satellite navigation systems second‐generation biorefinery Sugar Supply chains Tonnage Transportation Travel time |
title | GIS method to design and assess the transportation performance of a decentralized biorefinery supply system and comparison with a centralized system: case study in southern Quebec, Canada |
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