Analysis of Energy Efficiency Dataset for Buildings - PDF

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Added on 2021-06-14

Analysis of Energy Efficiency Dataset for Buildings - PDF

Added on 2021-06-14

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Running head: REAL WORLD ANALYTICSREAL WORLD ANALYTICSName of StudentName of University

Analysis of Energy Efficiency Dataset for Buildings - PDF_1

REAL WORLD ANALYTICS1Table of ContentsPart A: Analysis of Energy Efficiency Dataset for Buildings.........................................................2Description...................................................................................................................................2Task 1...........................................................................................................................................2Task 2...........................................................................................................................................9Task 3...........................................................................................................................................9Task 4.........................................................................................................................................10Part B.............................................................................................................................................111.................................................................................................................................................11

Analysis of Energy Efficiency Dataset for Buildings - PDF_2

REAL WORLD ANALYTICS2Part A: Analysis of Energy Efficiency Dataset for Buildings DescriptionHeating load and cooling load are important determinants of the specifications in the heating and cooling equipment used in designing efficient buildings. Therefore tools for energy simulation to predict energy consumption of a building is necessary to anticipate these parameters and hence design structures which can accommodate the demand optimally, keeping in line with the idea of energy efficient buildings. The variables Heating load (HL or denoted by Y1) and cooling load (CL or Y2) are made the two suggested variables of interest for this paper and the variables, relative compactness in percentage or X1, Surface area in square meters or X2, wall area in square meters or X3, roof area in square meters or X4 and overall height in meters or X5 are taken as potential predictors of the chosen response, heating load. 768 building data units were simulated through abuilding simulator and the data on the above mentioned variables were noted and hence used for the analysis. The analysis was done in R.Task 1The text data file ENB18data.txt was downloaded from CloudDeakin and into the R working directory. The data was hence loaded into the R console and assigned to a data matrix, namely, “the.data”. The matrix consisted of 7 columns to accommodate each variable and 786 rows of simulated data observations.The response variable Heating Load or Y1 was chosen as the variable of interest and it’s the influence of the variables denoted by X1, X2, X3, X4 and X5 was analyzed and each of the variables were individually scrutinized as well. The analysis was done on the basis of a sample of size 300 chosen by use of simple random sampling process in R. The graphical summarization of each variable and the relationship between the response variable and each individual independent variables are depicted and discussed hence.The histogram of the response variable depicts that heating load in KWh per meter square per annum follows a right skewed distribution that is most of its values seem to be concentrated towards the lower or left tail making its right tail more elongated than its left. The mode is indicated to lie in the interval 15KWh per meter square to 20KWh per meter square.

Analysis of Energy Efficiency Dataset for Buildings - PDF_3

REAL WORLD ANALYTICS3Figure 1The relative compactness values are seen to be more or less evenly distributed aroundcenter lying between 0.6 and 1. Figure 2

Analysis of Energy Efficiency Dataset for Buildings - PDF_4

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Analysis of Energy Efficiency Dataset for Buildings - PDF