• This work is part of a doctoral thesis about optimization of parametric bioclimatic design. We
    develop two bioclimatic indexes of heating and cooling for typical winter and summer days
    respectively, which are optimised by means of genetic algorithms (GA) [1].
    The object is a high-rise building with multiple uses, located in a plot of urban land, which
    adequates to Buenos Aires City Environmental Code [2]. The efficient envelope fulfils the
    Law of Thermal Conditioning in Buildings for Buenos Aires City and IRAM Standards 11604
    [3] and 11659/1-2 [4].
    After parameterizing the building geometry, we introduce solar thermal loads, transmission
    loads and internal loads. We employ our own climatic data from the Laboratory: hourly solar
    radiation and temperature.
    Then, we run the program successive times in order to obtain a set of solutions, which have
    equivalent energy performance but different spatial configuration. We utilize a genetic
    algorithm (GA) to optimise the process [5].
    Based on the results, we can analyse which variables influence the energy performance of
    the alternatives.
    This tool proves to be effective to design and optimise architectural solutions for a high-rise
    building, while giving the designer more options than traditional design method. We verify the
    hypothesis of the incidence of envelope geometry on energy consumptionby means of these
    new indexes.
    The calculations of these new indexes—Bheat and Bcool —let us evaluate simultaneously both
    parameters, providing a common basis of comparison: 24-hour energy consumption of
    typical winter and summer days.
    We can affirm that energy efficient design cannot let apart summer condition for our
    bioclimatic zone (humid temperate) IIIb (IRAM 11603) [6]. Nevertheless, the above
    mentioned law in Buenos Aires Province only require a minimum Gheat, taking into account
    just winter condition. The same happens with IRAM Standard 11900 about energy efficiency

  • “Professor at graduate courses: Eco-efficient algorithmic design I-II (Faculty of Architecture and Urbanism)
    Employment, Buenos Aires”



    Copyright: © 2015 by the authors

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