A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Parametric design to minimize the embodied GHG emissions in a ZEB
This work aims to apply parametric design to minimize the embodied greenhouse gas emissions and op- erational energy in a zero emission building in Oslo, Norway. An original generative workflow based on parametric design was developed in the Grasshopper environment to conduct energy analyses, such as solar radiation and daylighting, and environmental impact analysis, to evaluate the embodied and oper- ational greenhouse gas emissions of the building. The workflow was generated to control parametrically several building features while varying the building shape, the dimensions of construction components, and the quantity of materials. The process leads to the generation of shapes with the least environmental impact. The workflow allows the modification of the initial shape of the Base Case by running itera- tive simulations through the Galapagos and Octopus evolutionary solvers. For each stage of the shape’s optimization, through passive and active strategies, the embodied emissions and energy balances were estimated to evaluate how the building design varies in terms of energy and environmental impact, and to identify the implications for the design. This paper shows how design options with low levels of em- bodied emissions can be generated and optimized automatically, and also demonstrates how a parametric design approach provides the designer with suggestions of low-impact solutions, which can then be in- tegrated and considered early in, and throughout, the design process in a holistic manner. ; Parametric design to minimize the embodied GHG emissions in a ZEB ; submittedVersion
Parametric design to minimize the embodied GHG emissions in a ZEB
This work aims to apply parametric design to minimize the embodied greenhouse gas emissions and op- erational energy in a zero emission building in Oslo, Norway. An original generative workflow based on parametric design was developed in the Grasshopper environment to conduct energy analyses, such as solar radiation and daylighting, and environmental impact analysis, to evaluate the embodied and oper- ational greenhouse gas emissions of the building. The workflow was generated to control parametrically several building features while varying the building shape, the dimensions of construction components, and the quantity of materials. The process leads to the generation of shapes with the least environmental impact. The workflow allows the modification of the initial shape of the Base Case by running itera- tive simulations through the Galapagos and Octopus evolutionary solvers. For each stage of the shape’s optimization, through passive and active strategies, the embodied emissions and energy balances were estimated to evaluate how the building design varies in terms of energy and environmental impact, and to identify the implications for the design. This paper shows how design options with low levels of em- bodied emissions can be generated and optimized automatically, and also demonstrates how a parametric design approach provides the designer with suggestions of low-impact solutions, which can then be in- tegrated and considered early in, and throughout, the design process in a holistic manner. ; Parametric design to minimize the embodied GHG emissions in a ZEB ; submittedVersion
Parametric design to minimize the embodied GHG emissions in a ZEB
Lobaccaro, Gabriele (author) / Houlihan Wiberg, Aoife Anne Marie (author) / Ceci, Giulia (author) / Manni, Mattia (author) / Lolli, Nicola (author) / Berardi, Umberto (author)
2018-01-01
cristin:1570792
106-123 ; 167 ; Energy and Buildings
Article (Journal)
Electronic Resource
English
Life cycle assessment , Embodied emissions , ZEB , Gas emissions , VDP::Architecture and building technology: 531 , Life cycle , Zero energy buildings , VDP::Arkitektur og bygningsteknologi: 531 , Buildings , Evolutionary computing , Zero emissions building , Parametric design , Environmental impact
DDC:
690
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