Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics
The objectives of this study were to define and determine the energy efficiency indexes that should be considered to measure and analyze the energy performance in enterprises engaged in processing green coffee for export. The investigation arose through a case study on a coffee processing plant in H...
- Autores:
-
Gomez Dorta, Rafael Luciano
Pineda, Omar
Lizardo Zelaya, Nelson Alberto
Varela Izquierdo, Noel
Silva, Jesus
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8008
- Acceso en línea:
- https://hdl.handle.net/11323/8008
https://doi.org/10.1007/978-981-15-5558-9_13
https://repositorio.cuc.edu.co/
- Palabra clave:
- Coffee processing plants
Energy efficiency
Energy efficiency indexes
- Rights
- openAccess
- License
- CC0 1.0 Universal
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Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics |
| title |
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics |
| spellingShingle |
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics Coffee processing plants Energy efficiency Energy efficiency indexes |
| title_short |
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics |
| title_full |
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics |
| title_fullStr |
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics |
| title_full_unstemmed |
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics |
| title_sort |
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics |
| dc.creator.fl_str_mv |
Gomez Dorta, Rafael Luciano Pineda, Omar Lizardo Zelaya, Nelson Alberto Varela Izquierdo, Noel Silva, Jesus |
| dc.contributor.author.spa.fl_str_mv |
Gomez Dorta, Rafael Luciano Pineda, Omar Lizardo Zelaya, Nelson Alberto Varela Izquierdo, Noel Silva, Jesus |
| dc.subject.spa.fl_str_mv |
Coffee processing plants Energy efficiency Energy efficiency indexes |
| topic |
Coffee processing plants Energy efficiency Energy efficiency indexes |
| description |
The objectives of this study were to define and determine the energy efficiency indexes that should be considered to measure and analyze the energy performance in enterprises engaged in processing green coffee for export. The investigation arose through a case study on a coffee processing plant in Honduras. The purpose of this work was fulfilled under the recommendations set forth in ISO 50001:2011, which were used as references. In addition, determine the energy structure of the company target of study, establishing the strategy to obtain daily records of the energy situation of the company and under a four-step process: energy structure of the company, daily registry of consumption, indicators of energy performance, and potential evaluations for improvement. With the observed results for more than 100 days, a model of high-quality was found with a coefficient of determination of 0.88, which helped to find and define different energy performance indicators. |
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2020 |
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2020-09-08 |
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2021-03-12T21:46:50Z |
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2021-03-12T21:46:50Z |
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Pre-Publicación |
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https://doi.org/10.1007/978-981-15-5558-9_13 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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18761119 18761100 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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1. World Energy Outlook (2006) International Energy Agency 2. Silva V, Jesús A Indicators systems for evaluating the efficiency of political awareness of rational use of electricity. Advanced materials research. ISSN: 1022-6680 ed: Trans Tech Publications Ltd, vol 601. fasc.n/a, pp 618–625 3. Silva V, Jesús A et al. (2016) Energy efficiency index of ambulatories and hospitals. Int J Control Theory Appl 9(44). ISSN: 0974-5572 4. Lawrence T, Watson R, Boudreau M, Johnsen K, Perry J, Ding L (2012) A new paradigm for the design and management of building systems. Energy Build 51 5. Nordelo AB et al. (2012) Gestión Energética Empresarial. Segunda Edición. Unión Eléctrica. Cuba. ISBN 959-257-040-X 6. ISO 50.001 (2011) Energy management 7. Gómez Dorta RL (2001) Procedimientos para la mejora de la calidad de la generación y el consumo de energía. Tesis para optar por el título de Doctor en Ciencias Técnicas, Universidad Central de Las Villas, Cuba 8. Acevedo R et al (2014) Análisis Relacional de la norma ISO 50001: Sistemas de Gestión Energética. Rev Cienc Y Tecnol 11:312–323 9. Campos Avella JC, Gómez Dorta R, Santos Macias L (1998) Eficiencia Energética y Competitividad de Empresas. Editorial UNIVERSO SUR, Cienfuegos, Cuba. ISBN 959-257-019-1 10. Hernandez Ramírez G et al. (2015) Eficiencia energética en sistemas de bombeo de hidromezclas. Revista Minería y Geología 31(3), julio-septiembre, ISSN 1993 8012 11. Castrillón R et al. (2013) Mejoramiento de la eficiencia energética en la industria del cemento por proceso húmedo a través de la implementación del Sistema de Gestión Integral de la Energía. Revista Dyna, año 80, Edición 177, Colombia 12. Campos JC, Quispe EC, Lora E (2009) Nueva herramienta para la medición y el control de la eficiencia energética en la gestión de procesos empresariales. Memorias de XI Semana Técnica de Ingeniería. Barranquilla, Colombia, pp 76–86 13. Molina Gonzalez A et al. (2017) Nuevos índices de consumo energético para hoteles tropicales. Revista de Ingeniería Energética XXXVIII(3), septiembre-diciembre, CUJAE, Cuba, pp 198–2017. ISSN 1815 5901 14. Ministerio de Minas y Energía (2014) Gestión e indicadores energéticos. Recuperado de http://www.si3ea.gov.co/Eure/16/[4]inicio.html 15. Varela N, Fernandez D, Pineda O, Viloria A (2017) Selection of the best regression model to explain the variables that influence labor accident case electrical company. J Eng Appl Sci 12:2956–2962 16. Pérez R, Inga E, Aguila A, Vásquez C, Lima L, Viloria A, Henry MA (2018) Fault diagnosis on electrical distribution systems based on fuzzy logic. In: Tan Y, Shi Y, Tang Q (eds) Advances in swarm intelligence. ICSI 2018. Lecture notes in computer science, vol 10942. Springer, Cham |
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Gomez Dorta, Rafael Lucianoa9db556265fa2db8906ab6a0ded63092Pineda, Omaraf4b322b3d3157067b1e466da357fb98Lizardo Zelaya, Nelson Alberto7745fa78c84a95af117fd9a36213eaaaVarela Izquierdo, Noel484160b66adc1de7303e235ec7894532Silva, Jesus659ae35f3326439474c6cca46ee77cb02021-03-12T21:46:50Z2021-03-12T21:46:50Z2020-09-081876111918761100https://hdl.handle.net/11323/8008https://doi.org/10.1007/978-981-15-5558-9_13Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The objectives of this study were to define and determine the energy efficiency indexes that should be considered to measure and analyze the energy performance in enterprises engaged in processing green coffee for export. The investigation arose through a case study on a coffee processing plant in Honduras. The purpose of this work was fulfilled under the recommendations set forth in ISO 50001:2011, which were used as references. In addition, determine the energy structure of the company target of study, establishing the strategy to obtain daily records of the energy situation of the company and under a four-step process: energy structure of the company, daily registry of consumption, indicators of energy performance, and potential evaluations for improvement. With the observed results for more than 100 days, a model of high-quality was found with a coefficient of determination of 0.88, which helped to find and define different energy performance indicators.application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Electrical Engineeringhttps://link.springer.com/chapter/10.1007/978-981-15-5558-9_13Coffee processing plantsEnergy efficiencyEnergy efficiency indexesRecommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statisticsPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersion1. World Energy Outlook (2006) International Energy Agency2. Silva V, Jesús A Indicators systems for evaluating the efficiency of political awareness of rational use of electricity. Advanced materials research. ISSN: 1022-6680 ed: Trans Tech Publications Ltd, vol 601. fasc.n/a, pp 618–6253. Silva V, Jesús A et al. (2016) Energy efficiency index of ambulatories and hospitals. Int J Control Theory Appl 9(44). ISSN: 0974-55724. Lawrence T, Watson R, Boudreau M, Johnsen K, Perry J, Ding L (2012) A new paradigm for the design and management of building systems. Energy Build 515. Nordelo AB et al. (2012) Gestión Energética Empresarial. Segunda Edición. Unión Eléctrica. Cuba. ISBN 959-257-040-X6. ISO 50.001 (2011) Energy management7. Gómez Dorta RL (2001) Procedimientos para la mejora de la calidad de la generación y el consumo de energía. Tesis para optar por el título de Doctor en Ciencias Técnicas, Universidad Central de Las Villas, Cuba8. Acevedo R et al (2014) Análisis Relacional de la norma ISO 50001: Sistemas de Gestión Energética. Rev Cienc Y Tecnol 11:312–3239. Campos Avella JC, Gómez Dorta R, Santos Macias L (1998) Eficiencia Energética y Competitividad de Empresas. Editorial UNIVERSO SUR, Cienfuegos, Cuba. ISBN 959-257-019-110. Hernandez Ramírez G et al. (2015) Eficiencia energética en sistemas de bombeo de hidromezclas. Revista Minería y Geología 31(3), julio-septiembre, ISSN 1993 801211. Castrillón R et al. (2013) Mejoramiento de la eficiencia energética en la industria del cemento por proceso húmedo a través de la implementación del Sistema de Gestión Integral de la Energía. Revista Dyna, año 80, Edición 177, Colombia12. Campos JC, Quispe EC, Lora E (2009) Nueva herramienta para la medición y el control de la eficiencia energética en la gestión de procesos empresariales. Memorias de XI Semana Técnica de Ingeniería. Barranquilla, Colombia, pp 76–8613. Molina Gonzalez A et al. (2017) Nuevos índices de consumo energético para hoteles tropicales. Revista de Ingeniería Energética XXXVIII(3), septiembre-diciembre, CUJAE, Cuba, pp 198–2017. ISSN 1815 590114. Ministerio de Minas y Energía (2014) Gestión e indicadores energéticos. Recuperado de http://www.si3ea.gov.co/Eure/16/[4]inicio.html15. Varela N, Fernandez D, Pineda O, Viloria A (2017) Selection of the best regression model to explain the variables that influence labor accident case electrical company. J Eng Appl Sci 12:2956–296216. Pérez R, Inga E, Aguila A, Vásquez C, Lima L, Viloria A, Henry MA (2018) Fault diagnosis on electrical distribution systems based on fuzzy logic. In: Tan Y, Shi Y, Tang Q (eds) Advances in swarm intelligence. ICSI 2018. Lecture notes in computer science, vol 10942. 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