A short-term scheduling for the optimal operation of biorefineries
This work presents an analysis of the inherent potentialities and characteristics of the sugarcane industries that produce sugar, bioethanol, biogas and bioelectricity and that are being described as “Biorefineries”. These Biorefineries are capable of producing bio-energy under diverse forms, intend...
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| Veröffentlicht in: | Energy conversion and management 2011, Vol.52 (1), p.447-456 |
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| creator | Grisi, E.F. Yusta, J.M. Khodr, H.M. |
| description | This work presents an analysis of the inherent potentialities and characteristics of the sugarcane industries that produce sugar, bioethanol, biogas and bioelectricity and that are being described as “Biorefineries”. These Biorefineries are capable of producing bio-energy under diverse forms, intended for their own internal consumption and for external sales and marketing. A complex model and simulation are carried out of the processes of a sugarcane industry, with the data characteristic as well as the production costs, prices of products and considerations on the energy demand by basic processes. A Mixed-Integer Linear Programming (MILP) optimization problem formulation and an analysis of optimal solutions in short-term operation are described, taking into account the production cost functions of each commodity and the incomes obtained from selling electricity and other products. The objective is to maximize the hourly plant economic profit in the different scenarios considered in a real case study. |
| doi_str_mv | 10.1016/j.enconman.2010.07.020 |
| format | Article |
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These Biorefineries are capable of producing bio-energy under diverse forms, intended for their own internal consumption and for external sales and marketing. A complex model and simulation are carried out of the processes of a sugarcane industry, with the data characteristic as well as the production costs, prices of products and considerations on the energy demand by basic processes. A Mixed-Integer Linear Programming (MILP) optimization problem formulation and an analysis of optimal solutions in short-term operation are described, taking into account the production cost functions of each commodity and the incomes obtained from selling electricity and other products. 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Modelling ; Natural energy ; Optimization ; prices ; Production costs ; Refining ; sales ; Scheduling ; simulation models ; sugar industry ; sugarcane bagasse ; Sugarcane industry ; sugarcane trash ; sugars</subject><ispartof>Energy conversion and management, 2011, Vol.52 (1), p.447-456</ispartof><rights>2010</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-f296ebfdb690bdf75afd43c3f586ad7af97d7926a15bc2e1dd3d14ce74adce573</citedby><cites>FETCH-LOGICAL-c431t-f296ebfdb690bdf75afd43c3f586ad7af97d7926a15bc2e1dd3d14ce74adce573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0196890410003146$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23412470$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Grisi, E.F.</creatorcontrib><creatorcontrib>Yusta, J.M.</creatorcontrib><creatorcontrib>Khodr, H.M.</creatorcontrib><title>A short-term scheduling for the optimal operation of biorefineries</title><title>Energy conversion and management</title><description>This work presents an analysis of the inherent potentialities and characteristics of the sugarcane industries that produce sugar, bioethanol, biogas and bioelectricity and that are being described as “Biorefineries”. These Biorefineries are capable of producing bio-energy under diverse forms, intended for their own internal consumption and for external sales and marketing. A complex model and simulation are carried out of the processes of a sugarcane industry, with the data characteristic as well as the production costs, prices of products and considerations on the energy demand by basic processes. A Mixed-Integer Linear Programming (MILP) optimization problem formulation and an analysis of optimal solutions in short-term operation are described, taking into account the production cost functions of each commodity and the incomes obtained from selling electricity and other products. 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Modelling</subject><subject>Natural energy</subject><subject>Optimization</subject><subject>prices</subject><subject>Production costs</subject><subject>Refining</subject><subject>sales</subject><subject>Scheduling</subject><subject>simulation models</subject><subject>sugar industry</subject><subject>sugarcane bagasse</subject><subject>Sugarcane industry</subject><subject>sugarcane trash</subject><subject>sugars</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkE1P3DAQhi1UJLYLf4HmUrWXLOOP2MmtgFpaCYkDcLYce8x6lY23dhaJf19Hu-2xnEYaPe98PIRcUlhRoPJqs8LRxnFrxhWD0gS1AgYnZEFb1dWMMfWBLIB2sm47EGfkY84bAOANyAW5ua7yOqapnjBtq2zX6PZDGF8qH1M1rbGKuylszVAqJjOFOFbRV32ICX0YMQXM5-TUmyHjxbEuyfOP70-3P-v7h7tft9f3tRWcTrVnncTeu1520DuvGuOd4Jb7ppXGKeM75VTHpKFNbxlS57ijwqISxllsFF-SL4e5uxR_7zFPehuyxWEwI8Z91q3ohASqWCG__pekSikqW9lCQeUBtSnmXJ7Su1T-TW-agp716o3-q1fPejUoXfSW4OfjDpOtGXwyow35X5pxQZlQM_fpwHkTtXlJhXl-LIMaAMrbhs_XfjsQWOS9Bkw621B2ogsJ7aRdDO8d8wf6253i</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Grisi, E.F.</creator><creator>Yusta, J.M.</creator><creator>Khodr, H.M.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>7ST</scope><scope>SOI</scope></search><sort><creationdate>2011</creationdate><title>A short-term scheduling for the optimal operation of biorefineries</title><author>Grisi, E.F. ; Yusta, J.M. ; Khodr, H.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-f296ebfdb690bdf75afd43c3f586ad7af97d7926a15bc2e1dd3d14ce74adce573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>bioelectricity</topic><topic>bioethanol</topic><topic>biogas</topic><topic>Biorefineries</topic><topic>biorefining</topic><topic>case studies</topic><topic>Economic data</topic><topic>Economics</topic><topic>Energy</topic><topic>energy conversion</topic><topic>Energy economics</topic><topic>Energy management</topic><topic>Exact sciences and technology</topic><topic>General, economic and professional studies</topic><topic>Industrial engineering</topic><topic>linear programming</topic><topic>Manufacturing engineering</topic><topic>Marketing</topic><topic>Mathematical models</topic><topic>Methodology. 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| ispartof | Energy conversion and management, 2011, Vol.52 (1), p.447-456 |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences bioelectricity bioethanol biogas Biorefineries biorefining case studies Economic data Economics Energy energy conversion Energy economics Energy management Exact sciences and technology General, economic and professional studies Industrial engineering linear programming Manufacturing engineering Marketing Mathematical models Methodology. Modelling Natural energy Optimization prices Production costs Refining sales Scheduling simulation models sugar industry sugarcane bagasse Sugarcane industry sugarcane trash sugars |
| title | A short-term scheduling for the optimal operation of biorefineries |
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