Wall to floor ratio and the number of basements were identified as the model predictors with a model fit of 48.1% (R2).
After applying the proposed algorithm for a small office building in San Francisco, both methods coincide that the optimal skylight to floor ratio is 5.5 6% while decreasing the energy demand by 19%.
Demarcation of geomorphic indicators of active tectonics (which include the analyses of asymmetry factor, valley floor ratio, gradient, basin elongation ratio, long profile and related parameters, pseudo hypsometric integral, drainage basin asymmetry), drainage pattern analysis and azimuthal distribution of stream channels have been performed for each drainage network and associated basin.
Industrial halls are characterized with their relatively high roof-to-floor ratio, which facilitates ready deployment of renewable energy generation, such as photovoltaic (PV) systems, on the rooftop.
Seven studied parameters were selected: window-to-floor ratio, shading transmittance, shading front and back reflectance, space aspect ratio, insulation thermal resistance and glazing type.
However, we do recommend an even distribution of the glazing-to-floor ratio, because this generally provides an improved thermal indoor environment in south-oriented rooms and will ensure a better daylight level especially in north-oriented rooms.
In this paper, we compare a traditional design for a typical Danish single-family house with large glazing areas oriented towards the south and smaller glazing areas towards the north, and a design with an even window distribution where the glazing-to-floor ratio is the same for each room.
This urban modeling integrates the morphological factors together including grid size, floor area ratio, cover ratio, passive zone ratio, surface to volume ratio and so on and compares the energy impact respectively.
These information, together with urban planning parameters (floor area ratio, building coverage ratio, aspect ratio, etc).
A correlation analysis performed on collected data indicates that the design variables of number of floors, building height, building shape, grouping of buildings, window-to-wall-ratio, gross internal floor area, and wall-to-floor-ratio have significant correlations with the cooling energy demand of condominiums in Sri Lanka.
