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Exploratory Data Analysis for Energy Efficiency By Nitin Agarwal

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Page 1: Exploratory Data Analysis for Energy Efficiency

Exploratory Data Analysis for Energy

Efficiency

By Nitin Agarwal

Page 2: Exploratory Data Analysis for Energy Efficiency

Prepared by Nitin Agarwal 2

Abstract• This study looked into assessing the heating load and cooling load

requirements of buildings (that is, energy efficiency) as a function of building parameters

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Page 3: Exploratory Data Analysis for Energy Efficiency

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Data Description• X1 Relative Compactness - It is the measure of compactness of the closure or building

• X2 Surface Area - Surface area of the Building

• X3 Wall Area - area of the building covered by width of the wall.

• X4 Roof Area - Area covered under roofs.

• X5 Overall Height - Overall height of building

• X6 Orientation - Orientation of building based on direction like (North facing, South facing and others)

• X7 Glazing Area - means the total area of the wall which is glass

• X8 Glazing Area Distribution - How Glazing Area is distributed within the whole building.

• y1 Heating Load - How much heating load is required to heat the building.

• y2 Cooling Load - How much load is required to cool the building.

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Page 4: Exploratory Data Analysis for Energy Efficiency

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Important Factors for Energy Efficiency • After understanding all the factors, below factors can affect Energy

Efficiency:• Relative compactness• Surface Area• Glazing Area• Orientation

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Relative Compactness• It is the measure of compactness of the closure

or building.• More compact the build less will be the empty

area inside which needs to heated or cooled.• Building can have below 12 kinds of relative

compact: 0.98, 0.90, 0.86, 0.82, 0.79, 0.76, 0.74, 0.71, 0.69, 0.66, 0.64, 0.62

• Average Relative compactness is 0.764.

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Page 6: Exploratory Data Analysis for Energy Efficiency

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Roof Area• Roof area is the actual area where cooling or

heating would be required, that is, inside the building.

• Buildings may have 4 kinds of Roof areas: 110.25, 112.5, 147, 220.5

• 50% of the house has roof area of 220.5• 25% of the house has roof area of 147 Sqft.• Rest 25% includes building with roof area of

110.25 and 112.5.

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Page 7: Exploratory Data Analysis for Energy Efficiency

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Glazing Area• Glazing Area is the proportion of floor area

which is covered by windows, Glass walls, glass roofs etc. Since it is exposed to external factors like sun, snow, wind and others, this may affect the heating or cooling conditions of the building.

• Buildings can have 4 kinds of Glazing area : 0.00, 0.10, 0.25, 0.40

• The average Glazing area for building is 0.23

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Page 8: Exploratory Data Analysis for Energy Efficiency

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Orientation of a building

• The fact the sun is lower in the sky in Winter than in Summer allows us to plan and construct buildings that capture that free heat in Winter and reject the heat in Summer.

• The orientation of the whole building plays an important part in ensuring such a 'passive' process works

• There are 4 orientations present which are 2,3,4,5. These may be representing north facing, South facing, East Facing, West Facing.

• For each orientation there are 192 buildings.

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Page 9: Exploratory Data Analysis for Energy Efficiency

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Relative Compactness vs Heating & Cooling Load• It can be observed from the plot that there are two clusters, one is when Relative

Compactness is less than 0.75 and other is greater than 0.75• Heating & cooling load both are less than 25 when the relative compactness is

below 0.75.• It can be inferred that less Compact building would be more energy efficient.

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Roof Area vs Heating & Cooling Load

• It can be observed from the plot that building have roof area of 220 Sqft has lower heating load than other three Roof areas.

• So Buildings having roof area of 220 Sqft are very Energy Efficient.

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Page 11: Exploratory Data Analysis for Energy Efficiency

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Glazing Area vs Heating & Cooling Load

• It can be observed from the plot that building have higher glazing area has higher load.• Building with less Glazing are

more energy efficient.

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Orientation vs Heating & Cooling Load

• It can be observed from the plot that Different orientation has different load levels.• Cooling load is less for 3rd and 4th

orientation.• Heating load is less for 4th and 5th

Orientation.• Buildings Oriented with 4th

Orientation are more energy efficient.

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Correlation between all the features.

• Matrix suggests that the heating and cooling load have high correlation to Roof area and Overall height

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Page 14: Exploratory Data Analysis for Energy Efficiency

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Conclusion• Building with below attributes would have higher energy efficiency:

• Relative Compactness less than 0.75• Roof Area 220.5 sqft• Glazing Area 0% or max 10% of the floor area• Orientation Orientation number 4

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References• Data reference – UCI Machine Learning RepositoryDataset used was created by Angeliki Xifara (angxifara '@' gmail.com, Civil/Structural Engineer) and was processed by Athanasios Tsanas (tsanasthanasis '@' gmail.com, Oxford Centre for Industrial and Applied Mathematics, University of Oxford, UK).

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Feel free to reach out to meNitin Agarwal

Data Analytics ConsultantKPMGBangalore, India

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