Abstract
This document presents the procedures used to carry out architectural design of a housing prototype for low-income people under bioclimatic criteria in Monte Sinahí, at Guayaquil. Bioclimatic design starts with the characterization of the local climate and, based on inclusive design, considers the needs of a family that currently lives in that territory. With climate data obtained from a weather station located on site, region climate is described, which is characterized in two climatic seasons: hot-dry and hot-humid. The analysis of the micro-climatic particularities of the place allowed defining cooling requirements and proposing passive design strategies into architectural project for interior spaces. It also outlines recommendations for dwellings with bioclimatic criteria taking into account architectural morphology, urban form, building elements and solar and wind flow control devices. The use of Ecomaterials as construction elements in the efficient management of local resources is the result of a research program whose objective is to provide solutions in order to improve the constructive quality of low-cost dwellings using bamboo and other natural resources as fibers, leaves and parts of the trunk of plant species. Climatic characterization, added to future dwellers requirements, citizen participation as an example of social inclusion in the decision-making design process and the use of Ecomaterials, will contribute to the appropriation of the prototype by its users to be used as a housing solution that contributes with the care of the environment and the improvement of the quality of life of the inhabitants of Monte Sinahí.
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The authors would like to thank to School of Architecture and Design, at Catholic University of Santiago de Guayaquil for the financial support of this research.
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Forero, B., Hechavarría, J., Vega, R. (2020). Bioclimatic Design Approach for Low-Income Dwelling at Monte Sinahí, Guayaquil. In: Di Bucchianico, G. (eds) Advances in Design for Inclusion. AHFE 2019. Advances in Intelligent Systems and Computing, vol 954. Springer, Cham. https://doi.org/10.1007/978-3-030-20444-0_17
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