Passive ventilation control for cooling

Authors

  • Juan Pedro Ayala University of Sonora, Mexico
  • Irene Marincic Lovriha University of Sonora, Mexico

DOI:

https://doi.org/10.32870/rvcs.v0i2.38

Keywords:

temperature prediction, mathematical model, control, passive ventilation

Abstract

The aim of this paper is to show the process of creating a prediction model for the control of passive ventilation system in a hot dry climate. The paper shows that, by the right manual control of passive ventilation systems, a lower indoor temperature can be achieved, compared with the temperature without ventilation, during transition seasons. The investigation was carried out in the frame of postgraduate studies at the University of Sonora. The main concepts are prediction and control. The prediction is the key of the control, even it can change the course of the events. A linear regression method was used, which is one of the most used scientific prediction methods due to its adaptability. This method is a statistical analysis for estimating the relationships among variables. The mathematical model focuses on predicting indoor temperatures, based on outdoor temperatures. It was developed starting from the characterization, by measurements, of the thermal behavior of the dwelling studied, and of the local climate characteristics. By linear and multiple correlation, formulas were developed to predict the hourly interior temperature, based on the most relevant exterior variables. The metho- dology followed in this research can be used for other studies and future applications with energy savings purposes. This research has the particularity that was carried out in a hot dry climate and in a full- scale housing prototype. Because of this, it can be useful for housing developers and researchers.

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Author Biographies

Juan Pedro Ayala, University of Sonora, Mexico

Civil engineer with a specialty in sustainable development from the University of Sonora. He is currently a student of the Integral Doctorate in Humanities at the University of Sonora, where he carries out research related to the use of passive ventilation for cooling.

Irene Marincic Lovriha, University of Sonora, Mexico

PhD in civil engineering from the Polytechnic University of Catalonia, Spain. He specializes in research topics related to energy efficiency in buildings, thermal behavior monitoring, thermal comfort in buildings, and black box models for analysis and prediction of thermal conditions. She is currently a professor-researcher at the Department of Architecture and Design at the University of Sonora. He is co-responsible for the Energy, Environment and Architecture Laboratory.

References

Alfaro Gutiérrez, Rodrigo Rafael (2005). Evaluación práctica del aislamiento acústico de ductos utilizados para la ventilación forzada de viviendas. Tesis de licenciatura. Valdivia: Universidad Austral de Chile. https://doi.org/10.4206/sint.tecnol.2005.v2n2-07

Breesch, Hilde; De Meester, Bram; Klein, Ralf y Versele, Alexis (2011). "Evaluation of Passive Cooling in Low Energy Police O ce. PLEA 2011 - 27th Conference on Passive and Low Energy Architecture". Lovaina la Nueva, 13-15 de julio, pp. 751-756.

Bunge, Mario (1995). La ciencia, su método y su filo- sofía. México: Grupo Patria Cultural.

Dias Bordalo Junior, Hamilton (2010). Estrategias de ventilación natural en edificios para la mejora de la eficiencia energética. Tesina de maestría. Bar- celona: Universitat Politècnica de Catalunya.

Giménez Arias, Jorge Enrique (2011). Ökohaus, viviendas en el jardín. Tesina de maestría. Barcelo- na: Universitat Politècnica de Catalunya.

Givoni, B. y Vecchia, F. (2001). "Predicting Ther- mal Performance of Occupied Houses". The 18th International Conference on Passive and Low Energy Architecture. Florianópolis, 7-9 de noviembre.

Inzunza, Juan Carlos (2005). "Clasificación de los climas de Köppen". Ciencia... Ahora, núm. 15, año 8, pp. 1-14.

Krüger, Eduardo y Givoni, Baruch (2009). "Ther- mal Monitoring and Indoor Temperature Pre- dictions in a Passive Solar Building in an Arid Environment". Proceedings of ISES World Congress 2007, (vol. I - vol. V), pp. 432-435.

https://doi.org/10.1007/978-3-540-75997-3_76

Marincic, I.; Ochoa, J. M.; Alpuche, M.G. y Gó- mez-Azpeitia, G. (2009). "Adaptive Thermal Comfort in Warm Dry Climate: Economical Dwellings in Mexico". PLEA2009 - 26th Conference on Passive and Low Energy Architecture. Quebec, 22-24 de junio.

Rodríguez Jaume, María José y Morar Catala, Rafael (2002). Estadística informática: casos y ejemplos con el SPSS. Alicante: Universidad de Alicante.

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Published

2017-07-30

How to Cite

Ayala, J. P., & Marincic Lovriha, I. (2017). Passive ventilation control for cooling. Vivienda Y Comunidades Sustentables, (2), 11–28. https://doi.org/10.32870/rvcs.v0i2.38

Issue

No. 2 (2017): Vivienda y Comunidades Sustentables

Section

Articles

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