Saved in:
Bibliographic Details
Main Author: Yamilé Díaz-Torres
Format: Artículo científico
Language:en
Published: Universidad Tecnológica de La Habana "José Antonio Echeverría" (CUJAE) 2020
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=225165187007
https://www.redalyc.org/journal/2251/225165187007/
https://www.redalyc.org/journal/2251/225165187007/html/
https://www.redalyc.org/journal/2251/225165187007/225165187007.epub
https://www.redalyc.org/journal/2251/225165187007/movil
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866570877054746624
author Yamilé Díaz-Torres
author_facet Yamilé Díaz-Torres
contents Methodology for the preparation and selection of black box mathematical models for the energy simulation of screw type chillers Yamilé Díaz-Torres Miguel Santana-Justiz Gilberto Jose Francisco-Pedro Lazaro Daniel-Alvarez Yudit Miranda-Torres Mario Álvarez Guerra-Plascencia Ingeniería Chiller black box models linear regression This article proposes a methodology for the construction and simultaneous evaluation of black box models for screw type water chillers. The estimation method used was generalized Least Squares. The proposed methodology is an iterative process and its evaluation is based on quality parameters of goodness of fit and statistical assumptions. Ten mathematical models with different levels of complexity were proposed. The statistical software used was Eviews 7.0. The selection of the models was based on the Occam's razor, remaining as the most feasible model is model 5 characterized by a multiple linear regression 2020 artículo científico 1815-5944 https://www.redalyc.org/articulo.oa?id=225165187007 https://www.redalyc.org/journal/2251/225165187007/ https://www.redalyc.org/journal/2251/225165187007/html/ https://www.redalyc.org/journal/2251/225165187007/225165187007.epub https://www.redalyc.org/journal/2251/225165187007/movil en http://www.redalyc.org/revista.oa?id=2251 Ingeniería Mecánica application/pdf Universidad Tecnológica de La Habana "José Antonio Echeverría" (CUJAE) Ingeniería Mecánica (Cuba) Num.3 Vol.23
format Artículo científico
id redalyc_225165187007
language en
publishDate 2020
publisher Universidad Tecnológica de La Habana "José Antonio Echeverría" (CUJAE)
spellingShingle Methodology for the preparation and selection of black box mathematical models for the energy simulation of screw type chillers
Yamilé Díaz-Torres
Ingeniería
Chiller
black box models
linear regression
Methodology for the preparation and selection of black box mathematical models for the energy simulation of screw type chillers Yamilé Díaz-Torres Miguel Santana-Justiz Gilberto Jose Francisco-Pedro Lazaro Daniel-Alvarez Yudit Miranda-Torres Mario Álvarez Guerra-Plascencia Ingeniería Chiller black box models linear regression This article proposes a methodology for the construction and simultaneous evaluation of black box models for screw type water chillers. The estimation method used was generalized Least Squares. The proposed methodology is an iterative process and its evaluation is based on quality parameters of goodness of fit and statistical assumptions. Ten mathematical models with different levels of complexity were proposed. The statistical software used was Eviews 7.0. The selection of the models was based on the Occam's razor, remaining as the most feasible model is model 5 characterized by a multiple linear regression 2020 artículo científico 1815-5944 https://www.redalyc.org/articulo.oa?id=225165187007 https://www.redalyc.org/journal/2251/225165187007/ https://www.redalyc.org/journal/2251/225165187007/html/ https://www.redalyc.org/journal/2251/225165187007/225165187007.epub https://www.redalyc.org/journal/2251/225165187007/movil en http://www.redalyc.org/revista.oa?id=2251 Ingeniería Mecánica application/pdf Universidad Tecnológica de La Habana "José Antonio Echeverría" (CUJAE) Ingeniería Mecánica (Cuba) Num.3 Vol.23
title Methodology for the preparation and selection of black box mathematical models for the energy simulation of screw type chillers
topic Ingeniería
Chiller
black box models
linear regression
url https://www.redalyc.org/articulo.oa?id=225165187007
https://www.redalyc.org/journal/2251/225165187007/
https://www.redalyc.org/journal/2251/225165187007/html/
https://www.redalyc.org/journal/2251/225165187007/225165187007.epub
https://www.redalyc.org/journal/2251/225165187007/movil