The Effect of Façade Design on Lighting Energy Consumption in Offices: A Case Study in Turin, Italy

Kaçel, Seda; Yener, Alpin Köknel

doi:10.3763/asre.2008.5140

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…An issue that stands out in the evaluation of the FPLs of the explored design space, is the confinement of the rooms, particularly the kitchen and bathrooms, which result in significant losses in the use of the house, and which impact its performance. Due to the excessive use of artificial lighting (Leslie 2003); deficiency of natural ventilation (Kao et al 2009), precisely in the wet rooms represented by the kitchen and bathroom, where ventilation acts as a humidity remover; and the lack of visual contact with the outside environment (Kacel and Yener 2008). As well as subjecting kitchen users to harmful exposure to ultrafine particles (Lai and Chen 2007).…”

Section: Geometric Cost Of Lossesmentioning

confidence: 99%

Exploration and evaluation of design quality through floor plan layout (FPLs) of an existing design space using the ARLE GPS tool. Case study

Martins

2022

Preprint

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The ARLE GPS computational tool sets up a simple mathematical representation of a high-fidelity simulator and explorer, through its physics-biology model. Which establishes an input-output relationship of the input geometric data of the spatial planning of the floor plan layout (FPL) of a house, with the output data of the physical model that quantifies and qualifies the candidate solution, in an analogy with the functional physical performance of the house, making it possible to simulate, evaluate and optimize the geometric solution of the FPL. And it provides the data for the biological model to genetically describe the artifact of the house, to make available the relevant information of the components of the FPL structure. Specified by the genes form, function, topology, and space. This meta-model thus enables the construction, exploration, and evaluation of design spaces. It aims to make available to architects: to know, compare, and transcribe genetic information from these artifacts, for the development of innovative artifacts through creative designs. The exploration of an existing design space, through its evaluation, allows the transcription of the mined data, extracted from high performance projects, to compose new and better designs. It also enables the establishment of solution approximation functions, defined by means of predictive response surfaces, which allow insights into the FPL design solution domain, and predict the performance of candidate designs.

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