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G. Zemella, D. De March, M. Borrotti and I. Poli, “Optimised Design of Energy Efficient Building Facades via Evolutionary Neural Networks,” Energy and Buildings, Vol. 43, No. 12, 2011, pp. 3297-3302. doi:10.1016/j.enbuild.2011.10.006

has been cited by the following article:

• TITLE: Optimization of Office Building Façades in a Warm Summer Continental Climate

  AUTHORS: Allan Hani, Teet-Andrus Koiv

  KEYWORDS: Optimization; Envelope Design; Passive Solar Control; Energy Efficiency; Office Building

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.3 No.3, August 31, 2012

  ABSTRACT: A typical office building model with conventional use and contemporary building systems was developed for fa?ade optimization in continental climate. Wall, glazing area and window parameters were taken as the main variables. The objective function of optimization task described in this article is the minimization of cooling and heating energy con-sumption. The office building fa?ades optimization was carried out using a combination of IDA Indoor Climate and Energy 4.5 and GenOpt. The process is described in detail so that the approach may be emulated. A hybrid multidimen-sional optimization algorithm GPSPSOCCHJ was used in calculation process. The optimization results are presented in four quick selection charts to assist architects, designers and real estate developers make suitable early stage fa?ade selection decisions.