Blucher Design Proceedings

Novembro 2015, vol.2, num.3 - XIX Congresso da Sociedade Ibero-americana de Gráfica Digital 2015
Artigo Completo - Open Access Idioma principal | Segundo principal

Modelagem paramétrica para simulação do desempenho da iluminação natural e termo-energético da edificação

Parametric modeling for the simulation of daylight and thermo-energetic performance of buildings

Felippe, Alexandre Reis; Fonseca, Raphaela Walger da; Moraes, Letícia Niero; Pereira, Fernando O. Ruttkay

Artigo Completo:

This study comprises the developing process of a parameterization algorithm in grasshopper forbuilding daylight and energy integrated simulation considering the main daylighting key-variables. DIVA for Grasshopper plugin was used to carry out the simulations in Radiance/Daysim and Energyplus. The algorithm enables several sample simulationswhile improvingprocess agility, providing a graphical output of the models andminimizing the possibility of human errors. Acase study considering three different samples simulation was proposed aiming to test the algorithm. Its resultswere used to evaluatethe sample size required to train an artificial neural network for modeling daylighting harvesting potential.

This study comprises the developing process of a parameterization algorithm in grasshopper forbuilding daylight and energy integrated simulation considering the main daylighting key-variables. DIVA for Grasshopper plugin was used to carry out the simulations in Radiance/Daysim and Energyplus. The algorithm enables several sample simulationswhile improvingprocess agility, providing a graphical output of the models andminimizing the possibility of human errors. Acase study considering three different samples simulation was proposed aiming to test the algorithm. Its resultswere used to evaluatethe sample size required to train an artificial neural network for modeling daylighting harvesting potential.

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DOI: 10.5151/despro-sigradi2015-80289

Referências bibliográficas
  • [1] Choo, T. S., & Janssen, P. (2013). Semi-transparent building integrated photovoltaic facades: Maximise energy441 savings using evolutionary multi-objective optimisation. In Proceedings of the 18th International Conference on
  • [2] Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) (pp. 127–136). Singapore.
  • [3] Crawley, D. B., et al. EnergyPlus: creating a new-generation building energy simulation program. Energy and Buildings, v.33, n.4, p.319-331. 2001.
  • [4] Didoné, E. L. A influência da luz natural na avaliação da eficiência energética de edifícios contemporâneos de escritórios em Florianópolis/SC. . Arquitetura e Urbanismo, Universidade Federal de Santa Catarina, Florianópolis, 2009. 174 p.
  • [5] Fonseca, R. W. Iluminação natural e consumo energético de edificações não residenciais: aplicação de redes neurais artificiais. (tese de doutorado) Departamento de Engenharia Civil, Universidade Federal de Santa Catarina, Florianópolis, 2015. 350 p. No prelo.
  • [6] Gagne, J. M. L., & Andersen, M. (2010). Multi-objetive facade optimization for daylighting design using a genetic algorithm. In SimBuild (pp. 110–117). New York City, New York.
  • [7] Gagne, J. M. L., & Andersen, M. (2010). Multi-objetive façade optimization for daylighting design using a genetic algorithm. In SimBuild (pp. 110–117). New York City, New York.
  • [8] Giani, M., Belfiore, C., Lobaccaro, G., Masera, G., Imperadori, M., & Frontini, F. (2013). A Design approach for the solar optimization of built volumes. In CISBAT 2013 (pp. 8–11). Lausanne, Switzerland.
  • [9] Heshong, L. Daylight Metrics. Heshong Mahone Group – Public Interest Energy Research - California Energy Commission fevereiro de 2012, p.387. 2011. (CEC-500-2012-053)
  • [10] Jakubiec J. A. e Reinhart, C. The Adaptive Zone – A Concept for Assessing Glare Throughout Daylit Spaces. In: Proceedings of Building Simulation, 12th Conference of International Building Performance Simulation Association. Sydney, 2011. 14–16 p.
  • [11] Lobaccaro, G., & Masera, G. (2014). A Digital Language for a New Sustainable Urban Planning: Design and Simulation Tools for Solar Architecture. In Buinding Simulation and optimization (p. 8).
  • [12] Maschio, C., Carvalho, C. P. V. e Schiozes, D. J. Aplicação da técnica de hipercubo latino na integração do ajuste de histórico com a análise de incertezas. 5 Congresso Brasileiro de Pesquisa e Desenvolvimento em Petróleo e Gás. Fortaleza/Ceará: Associação Brasileira de P&D em Petróleo e Gás 2009.
  • [13] McNeel, R. e Associates. Rhinoceros 3D. v. 5.Rhinoceros 3D é um programa de modelagem tridimensional baseado na tecnologia NURBS.2014
  • [14] Ramos, G. e Ghisi, E. Avaliação do cálculo da iluminação natural realizada pelo programa EnergyPlus. Revista Ambiente Construído, v.10, n.2, p.10. 2010.
  • [15] Reinhart, C. F. e Walkenhorst, O. Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds. Energy and Buildings, v.33, n.7, p.683-697. 2001.
  • [16] The Mathworks INC. MATLAB CENTRAL: File Exchange Disponível: <http://www.mathworks.com/matlabcentral/fileexchange>. Acesso em: 4 de junho de 2014.
  • [17] Torres, S. L., & Sakamoto, Y. (2007). Facade design optimization for daylight with a simple genetic algorithm. In Building Simulation (pp. 2003–2008).
  • [18] Vannini, V. C. (2011). Otimização geométrica de dispositivos solares de fachada. UFRGS.
  • [19] Versage, R., Melo, A. P. e Lamberts, R. Impact of different daylighting simulation results on the prediction of total energy consuption. SimBuild 2010 - Fourth National Conference of IBPSA-USA. New York: IBPSA 2010.
Como citar:

Felippe, Alexandre Reis; Fonseca, Raphaela Walger da; Moraes, Letícia Niero; Pereira, Fernando O. Ruttkay; "Modelagem paramétrica para simulação do desempenho da iluminação natural e termo-energético da edificação", p-398-404. In: . São Paulo: Blucher, 2015.
ISSN 23186968, DOI 10.5151/despro-sigradi2015-80289

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