Understanding correlations between raw materials inputs

Detalhes bibliográficos
Autor(a) principal: Alvelos, Helena
Data de Publicação: 2017
Outros Autores: Andrade, Marina, Correia, Joaquim, Maypaokha, Gnord, Renchin-Ochir, Mijiddorj, Xiongshieng, Xaivang
Tipo de documento: Relatório
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/26618
Resumo: Prio Biocombustveis is a company that has a biodiesel plant in Porto de Aveiro. The production capacity of this plant is 113 880 ton/year. The plant has one lab to control the Biodiesel and Raw Materials quality. Every day Prio improves its process to assure the production of the best world-class biodiesel that any costumer can buy. Prio’s raw materials include several types of oils used in different percentages in the production process. Oils quality has the denomination of characteristic X, which varies with the different types of oils. Even in the same batch of the same oil it’s possible to observe quality oscillations. Oil’s neutralization is a dynamic process. The process recipe and operational parameters determine the final quality of the oil. All production shifts collect the operational parameters and analyze the quality in the lab for both intermediate and final oils. A diagram showing the main process operations is presented in Figure 1. The raw oil is heated to achieve the required process temperature and treated with acid and base using agitation. The produced soaps are separated from the Neutral Oil using centrifuges, which requires the control of several operational parameters. In neutralization process the main reaction is: Oil Mix (Raw Oil) + Base --> Neutral Oil + Soaps. The aim of this challenge is to understand correlations between raw materials inputs (in particular characteristic X) that define the recipe and highly influence the operational parameters that allow obtaining a high quality neutral oil (outputs).
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spelling Understanding correlations between raw materials inputsBiodieselRaw oilsNeutralization processOperational parametersPrio Biocombustveis is a company that has a biodiesel plant in Porto de Aveiro. The production capacity of this plant is 113 880 ton/year. The plant has one lab to control the Biodiesel and Raw Materials quality. Every day Prio improves its process to assure the production of the best world-class biodiesel that any costumer can buy. Prio’s raw materials include several types of oils used in different percentages in the production process. Oils quality has the denomination of characteristic X, which varies with the different types of oils. Even in the same batch of the same oil it’s possible to observe quality oscillations. Oil’s neutralization is a dynamic process. The process recipe and operational parameters determine the final quality of the oil. All production shifts collect the operational parameters and analyze the quality in the lab for both intermediate and final oils. A diagram showing the main process operations is presented in Figure 1. The raw oil is heated to achieve the required process temperature and treated with acid and base using agitation. The produced soaps are separated from the Neutral Oil using centrifuges, which requires the control of several operational parameters. In neutralization process the main reaction is: Oil Mix (Raw Oil) + Base --> Neutral Oil + Soaps. The aim of this challenge is to understand correlations between raw materials inputs (in particular characteristic X) that define the recipe and highly influence the operational parameters that allow obtaining a high quality neutral oil (outputs).Mathematics in Industry, The MIIS Eprints Archive, Study Groups, European Study Group with Industry2020-01-24T12:00:28Z2020-01-242017-09-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reporthttp://hdl.handle.net/10174/26618http://hdl.handle.net/10174/26618engReport on "Understanding correlations between raw materials inputs", Problem presented by Prio Biocombustíveis at the 127th European Study Group with Industry, University of Aveiro, Aveiro, Portugal, September 22, 2017http://www.maths-in-industry.org/miis/view/studygroups/esgi127.htmlhttp://esgi2017.web.ua.pt/challenges.htmlhttp://esgi2017.web.ua.pt/participants.htmlndndndndndnd336N/AAlvelos, HelenaAndrade, MarinaCorreia, JoaquimMaypaokha, GnordRenchin-Ochir, MijiddorjXiongshieng, Xaivanginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:21:23Zoai:dspace.uevora.pt:10174/26618Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:16:50.021865Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Understanding correlations between raw materials inputs
title Understanding correlations between raw materials inputs
spellingShingle Understanding correlations between raw materials inputs
Alvelos, Helena
Biodiesel
Raw oils
Neutralization process
Operational parameters
title_short Understanding correlations between raw materials inputs
title_full Understanding correlations between raw materials inputs
title_fullStr Understanding correlations between raw materials inputs
title_full_unstemmed Understanding correlations between raw materials inputs
title_sort Understanding correlations between raw materials inputs
author Alvelos, Helena
author_facet Alvelos, Helena
Andrade, Marina
Correia, Joaquim
Maypaokha, Gnord
Renchin-Ochir, Mijiddorj
Xiongshieng, Xaivang
author_role author
author2 Andrade, Marina
Correia, Joaquim
Maypaokha, Gnord
Renchin-Ochir, Mijiddorj
Xiongshieng, Xaivang
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Alvelos, Helena
Andrade, Marina
Correia, Joaquim
Maypaokha, Gnord
Renchin-Ochir, Mijiddorj
Xiongshieng, Xaivang
dc.subject.por.fl_str_mv Biodiesel
Raw oils
Neutralization process
Operational parameters
topic Biodiesel
Raw oils
Neutralization process
Operational parameters
description Prio Biocombustveis is a company that has a biodiesel plant in Porto de Aveiro. The production capacity of this plant is 113 880 ton/year. The plant has one lab to control the Biodiesel and Raw Materials quality. Every day Prio improves its process to assure the production of the best world-class biodiesel that any costumer can buy. Prio’s raw materials include several types of oils used in different percentages in the production process. Oils quality has the denomination of characteristic X, which varies with the different types of oils. Even in the same batch of the same oil it’s possible to observe quality oscillations. Oil’s neutralization is a dynamic process. The process recipe and operational parameters determine the final quality of the oil. All production shifts collect the operational parameters and analyze the quality in the lab for both intermediate and final oils. A diagram showing the main process operations is presented in Figure 1. The raw oil is heated to achieve the required process temperature and treated with acid and base using agitation. The produced soaps are separated from the Neutral Oil using centrifuges, which requires the control of several operational parameters. In neutralization process the main reaction is: Oil Mix (Raw Oil) + Base --> Neutral Oil + Soaps. The aim of this challenge is to understand correlations between raw materials inputs (in particular characteristic X) that define the recipe and highly influence the operational parameters that allow obtaining a high quality neutral oil (outputs).
publishDate 2017
dc.date.none.fl_str_mv 2017-09-22T00:00:00Z
2020-01-24T12:00:28Z
2020-01-24
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
format report
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/26618
http://hdl.handle.net/10174/26618
url http://hdl.handle.net/10174/26618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Report on "Understanding correlations between raw materials inputs", Problem presented by Prio Biocombustíveis at the 127th European Study Group with Industry, University of Aveiro, Aveiro, Portugal, September 22, 2017
http://www.maths-in-industry.org/miis/view/studygroups/esgi127.html
http://esgi2017.web.ua.pt/challenges.html
http://esgi2017.web.ua.pt/participants.html
nd
nd
nd
nd
nd
nd
336
N/A
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.publisher.none.fl_str_mv Mathematics in Industry, The MIIS Eprints Archive, Study Groups, European Study Group with Industry
publisher.none.fl_str_mv Mathematics in Industry, The MIIS Eprints Archive, Study Groups, European Study Group with Industry
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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