PROJETO BASEADO EM DESEMPENHO: MODELO DE OTIMIZAÇÃO MULTICRITÉRIO PARA SOLUÇÕES CONTROLE SOLAR EM FACHADAS

Authors

  • Natália Queiroz UFSC
  • Fernando O. R. Pereira UFSC

DOI:

https://doi.org/10.46421/entac.v18i.882

Keywords:

solar control, shading devices, glass, façade, optimization

Abstract

Performance-based design designates the design process where performance index is the key to generate geometry. In this method, the geometry modification is connected to computational simulation processes and an optimization process is associated with the specific design problem. This work addresses the design of solar control elements, which have problems associated with the design program formulation, interoperability and slow computer simulation processes. The objective of the paper is to present a simplified model for fast optimization processes of solar control solutions based on thermal performance and daylighting requirements for the whole year. The multi-criteria optimization model presents three performance indexes: solar radiation in the window plane in hot periods, UDI (Useful daylight illuminance) and area of the shading devices. The computational model is based on the Radiance three-phase method that was up to 10 times faster than Daysim. The process uses parametric modeling through Grasshopper and presents a solution sensitive to complex geometries and choice of glass based on to assist the performance-based design process.

References

AL HORR, Yousef et al. Occupant productivity and office indoor environment quality: A review of the literature. Building and Environment, [s. l.], v. 105, p. 369–389, 2016.

AL-MASRANI, Salwa M. et al. Design optimisation of solar shading systems for tropical office buildings: Challenges and future trends. Solar Energy, [s. l.], v. 170, n. April, p. 849–872, 2018.

AISH, Robert. DesignScript : Origins , Explanation , Illustration. Computational design modelling, [s. l.], p. 1–8, 2011.

BOUBEKRI, M.; BOYER, L. L. Effect of window size and sunlight presence on glare. Lighting Research & Technology, [s. l.], p. 69–74, 1992.

DOGRUSOY, Ilknur Turkseven; TUREYEN, Mehmet. A field study on determination of preferences for windows in office environments. Building and Environment, [s. l.], v. 42, n. 10, p. 3660–3668, 2007.

EVE LIN, Shih-Hsin; JASON GERBER, David. Designing-in performance: A framework for evolutionary energy performance feedback in early stage design. Automation in Construction, [s. l.], v. 38, p. 59–73, 2014.

LUCA, Francesco De. Learning Performance-driven Design. Students Approach Integrating Urban Form Studies and Building Performance Analysis. In: BUILDING SIMULATION 2019.

KHEIRI, Farshad. A review on optimization methods applied in energy-efficient building geometry and envelope design. Renewable and Sustainable Energy Reviews, [s. l.], v. 92, n. May 2017, p. 897–920, 2018.

KIRIMTAT, Ayca et al. Review of simulation modeling for shading devices in buildings.

Renewable and Sustainable Energy Reviews, [s. l.], v. 53, p. 23–49, 2016.

KIRIMTAT, Ayca et al. Multi-objective energy and daylight optimization of amorphous shading devices in buildings. Solar Energy, [s. l.], v. 185, n. April, p. 100–111, 2019.

KISCHKOWEIT-LOPIN, Martin. An overview of daylighting systems. Solar Energy, [s. l.], v. 73, n. 2, p. 77–82, 2002.

ØSTERGÅRD, Torben; JENSEN, Rasmus L.; MAAGAARD, Steffen E. Building simulations supporting decision making in early design – A review. Renewable and Sustainable Energy Reviews, [s. l.], v. 61, p. 187–201, 2016.

PAPALAMBROS, Panos Y.; WILDE, Douglass J. Principles of Optimal Design: Modeling and Computation. 2000.

REZAEI, Soroosh Daqiqeh; SHANNIGRAHI, Santiranjan; RAMAKRISHNA, Seeram. A review of conventional, advanced, and smart glazing technologies and materials for improving indoor environment. Solar Energy Materials and Solar Cells, [s. l.], v. 159, p. 26–51, 2017.

RUCK, N. et al. Daylight in Buildings-A source book on daylighting systems and components.

[s.l.] : Lawrence Berkeley National Laboratory: Washington, DC, USA, 2000.

WARD, Gregory et al. Simulating the daylight performance of complex fenestration systems using bidirectional scattering distribution functions within radiance. Leukos, v. 7, n. 4, p. 241-261, 2011.

WORTMANN, Thomas; NANNICINI, Giacomo. Introduction to Architectural Design Optimization. In: City Networks - Planning for Health and Sustainability. [s.l.] : Springer International Publishing, 2017. v. 128.

Published

2020-11-04

How to Cite

QUEIROZ, Natália; PEREIRA, Fernando O. R. PROJETO BASEADO EM DESEMPENHO: MODELO DE OTIMIZAÇÃO MULTICRITÉRIO PARA SOLUÇÕES CONTROLE SOLAR EM FACHADAS. In: NATIONAL MEETING OF BUILT ENVIRONMENT TECHNOLOGY, 18., 2020. Anais [...]. Porto Alegre: ANTAC, 2020. p. 1–8. DOI: 10.46421/entac.v18i.882. Disponível em: https://eventos.antac.org.br/index.php/entac/article/view/882. Acesso em: 24 nov. 2024.

Issue

Section

(Inativa) Conforto Ambiental e Eficiência Energética

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