Successfully reported this slideshow.
Upcoming SlideShare
×

# Exploratory Data Analysis for Energy Efficiency

1,804 views

Published on

This presentation assess the heating load and cooling load requirements of buildings based on building parameter using Exploratory Data Analysis.

Published in: Data & Analytics
• Full Name
Comment goes here.

Are you sure you want to Yes No
• Be the first to comment

### Exploratory Data Analysis for Energy Efficiency

1. 1. 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 5/9/2015 Prepared by Nitin Agarwal 2
2. 2. 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. 35/9/2015 Prepared by Nitin Agarwal
3. 3. Important Factors for Energy Efficiency • After understanding all the factors, below factors can affect Energy Efficiency: • Relative compactness • Surface Area • Glazing Area • Orientation 45/9/2015 Prepared by Nitin Agarwal
4. 4. 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. 55/9/2015 Prepared by Nitin Agarwal
5. 5. 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. 65/9/2015 Prepared by Nitin Agarwal
6. 6. 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 75/9/2015 Prepared by Nitin Agarwal
7. 7. 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. 85/9/2015 Prepared by Nitin Agarwal
8. 8. 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. 95/9/2015 Prepared by Nitin Agarwal
9. 9. 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. 105/9/2015 Prepared by Nitin Agarwal
10. 10. 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. 115/9/2015 Prepared by Nitin Agarwal
11. 11. 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. 125/9/2015 Prepared by Nitin Agarwal
12. 12. Correlation between all the features. • Matrix suggests that the heating and cooling load have high correlation to Roof area and Overall height 5/9/2015 Prepared by Nitin Agarwal 13
13. 13. 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 4 145/9/2015 Prepared by Nitin Agarwal
14. 14. References • Data reference – UCI Machine Learning Repository Dataset 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). 5/9/2015 Prepared by Nitin Agarwal 15
15. 15. Feel free to reach out to me Nitin Agarwal Data Analytics Consultant KPMG Bangalore, India 5/9/2015 Prepared by Nitin Agarwal 16