Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1539
Title: INFLUNCE OF ARCHITECTURAL DESIGN VARIABLE ON COST ENERGY CONSUMPTION IN OFFICE BUILDING IN MINNA.
Authors: Idiake, J. E
Shittu, A. A
Saba, M
Keywords: Energy, Electricity, Design Variables, Running Cost, Office Building
Issue Date: Dec-2018
Publisher: Environmental Technology and Science Journal
Series/Report no.: Vol 9, No. 2;123-135
Abstract: The prime objectives of this study is to investigate the influence of architectural design variables on the cost of energy consumption in office buildings. This study is restricted to office building within minna metropolis. Data was collected through field survey and computations from architectural plans. A random sample of 30 buildings forms the basis of the study. Descriptive analysis was used to compute the mean, maximum, minimum and modes for all the variables. Partial correlation coefficient of the dependent and all the independent variables explored the strength of association between variables and detected collinearity among the variables. Regression analysis determined the strength of the relationship between the dependent and independent variables. Multiple regression analysis using the “stepwise” regression procedure determined the extent to which the design parameters acting together explained the variation of the dependent variables. It was established that design variables like floor areas, shape, height, perimeter, orientation, shading and extent of glazing have significant effect on cost of energy consumption in office buildings. The conclusion derived from the study is that the designer during the design stage will have control of about 62.6% of energy consumption cost of the building. Therefore, it is recommended that designers should control this parameters from inception in order to produce energy conscious building with minimal running cost.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1539
Appears in Collections:Quantity Surveying

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