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Multi-objective Optimization Applied to the Bioclimatic Design of Dwellings with Ecomaterials

  • Jesús Rafael Hechavarría HernándezEmail author
  • Robinson Vega Jaramillo
  • Boris Forero Fuentes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 876)

Abstract

The team of researchers of the Institute of Habitat, Design and Construction (IHDC) of the Faculty of Architecture and Design (FAD) develops research aimed at obtaining housing archetypes under multiobjective optimization considering sustainability criteria related to bioclimatic analysis, thermal comfort and energy savings in the use of electric lighting and air conditioning. In the research, the methodology of “Analysis and Synthesis of Engineering Systems” is used with the application of the algorithm “Variable Code of Stochastic Search”, allows to iteratively explore the spatial solutions and, systematically, modifies the limits of the possible interval variable code values of solutions, which avoids being trapped in local minimums and reaches the optimal global minimums with more computational efficiency.

Keywords

Multiobjective optimization Bioclimatic design Ecomaterials Low-income housing 

Notes

Acknowledgments

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.

References

  1. 1.
    Victoria, J., Mahayuddin, S.A., Zaharuddin, W.A.Z.W., Harun, S.N., Ismail, B.: Bioclimatic design approach in dayak traditional longhouse. Procedia Eng. 180, 562–570 (2017)CrossRefGoogle Scholar
  2. 2.
    Manzano-Agugliaro, F., Montoya, F.G., Sabio-Ortega, A., García-Cruz, A.: Review of bioclimatic architecture strategies for achieving thermal comfort. Renew. Sustain. Energy Rev. 49, 736–755 (2015)CrossRefGoogle Scholar
  3. 3.
    Hechavarría Hernández, J.R.: Optimización del diseño de redes de distribución de agua bajo criterios técnico-económicos. Tesis Doctoral. Universidad de Oriente, Cuba (2009)Google Scholar
  4. 4.
    Glover, F., Kochenberger, G.A.: Handbook of Metaheuristics. Operations Research Management Science. Kluver Academic Publishers, Boston (2003)zbMATHGoogle Scholar
  5. 5.
    Pajek, L., Košir, M.: Implications of present and upcoming changes in bioclimatic potential for energy performance of residential buildings. Build. Environ. 127, 157–172 (2018)CrossRefGoogle Scholar
  6. 6.
    Zhang, X., Lian, Z.: The bioclimatic design approach to plateau region buildings: case of the Lhasa. Procedia Eng. 121, 2044–2051 (2015)CrossRefGoogle Scholar
  7. 7.
    Auliciems, A., Szokolay, S.: Thermal Comfort. Passive and Low Energy Architecture International design tools and techniques, vol. 3. University of Queensland (1997)Google Scholar
  8. 8.
    Auliciems, A.: Human choice and climate change. In: Rayner, S., Malone, E.L. (eds.) Resources and Technology, vol. 2. Battelle Press (1998). Agric. For. Meteorol., vol. 103(4), pp. 393–395, July 2000Google Scholar
  9. 9.
    Forero, B., Hechavarría, J., Sandoya, R.: Diseño bioclimático de viviendas de bajo costo. Una propuesta metodológica para estudiantes de la Carrera Arquitectura, vol. 9. Opuntia Brava, Guayaquil (2017)Google Scholar
  10. 10.
    Masegosa, A., Verdegay, J.L., Sancho, A.: Una metaheurística bioinspirada, cooperativa, centralizada y adaptativa para la resolución simultánea de múltiples instancias de problemas de optimización. Dpto. Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, España (2008)Google Scholar
  11. 11.
    Arzola, J.: Methodology of analysis and synthesis of engineering systems and associated methods. In: X Euro Latin American Workshop on Engineering Systems, La Habana, Cuba (2014)Google Scholar
  12. 12.
    Hechavarría, J., Forero, B., Al-Terkawi, J.: Enfoque sistémico como propuesta metodológica para el diseño de Viviendas de Interés Social en estudiantes de arquitectura de la Universidad de Guayaquil, vol. 9. Opuntia Brava (2017)Google Scholar
  13. 13.
    Hechavarría Hernández, J.R., Ruiz, J.A., Asgher, U.: Novel multi-objective optimization algorithm incorporating decisions factors in design modeling of hydraulic nets, pp. 690–696. Springer, Cham (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jesús Rafael Hechavarría Hernández
    • 1
    Email author
  • Robinson Vega Jaramillo
    • 1
  • Boris Forero Fuentes
    • 1
  1. 1.School of Architecture and DesignCatholic University of Santiago de GuayaquilGuayaquilEcuador

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