Passive Strategies to Improve the Comfort Conditions in a Geodesic Dome

Frank Florez, Pedro Fernández- de-Córdoba, John Taborda, Juan Carlos Castro-Palacio, José Luis Higón-Calvet and M. Jezabel Pérez-Quiles
Additional contact information
Frank Florez: Faculty of Engineering, Universidad Autónoma de Manizales, Manizales 170003, Colombia
Pedro Fernández- de-Córdoba: Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
John Taborda: Faculty of Engineering, Universidad del Magdalena, Santa Marta 470004, Colombia
Juan Carlos Castro-Palacio: Departamento de Ingeniería Eléctrica, Electrónica, Automática y Física Aplicada, Universidad Politécnica de Madrid, Ronda de Valencia, 3, 28012 Madrid, Spain
José Luis Higón-Calvet: Escuela Técnica Superior de Arquitectura, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
M. Jezabel Pérez-Quiles: Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain

Mathematics, 2021, vol. 9, issue 6, 1-15

Abstract: Non-conventional thermal zones are low-cost and ecology friendly alternatives to the housing needs of populations in various situations, such as surviving natural disasters or addressing homelessness. However, it is necessary to guarantee thermal comfort for occupants, while aiming to minimize energy consumption and wastage in refrigeration systems. To reduce the cooling requirements in non-conventional thermal zones it is necessary to model the structure and analyze the principal factors contributing to internal temperature. In this paper, a geodesic dome is modellingusing the lumped parameter technique. This structure is composed of a wooden skeleton and wooden floor, with a canvas surface as its exterior. The mathematical model was tuned using experimental data, and its parameters were classified using Monte Carlo sensitivity analysis. The mathematical model was used to evaluate the impact on internal temperature and occupants’ comfort when two strategies are considered. The results obtained indicatee internal temperature reductions down to a range of 7% to 11%; this result is reflected directly in the energy used to refrigerate the thermal zone, contributing to the objective of providing houses with lower energy consumption.

Keywords: thermal zones; lumped parameters; mathematical model; Monte Carlo; thermal comfort; passive strategies (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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