Download - Estimating Individual Carbon Footprint
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Estimating Individual
ESL 330
Assignment-1
Bhuvnesh Sharma
2009ch70132
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Carbon footprint
Primary footprint
Direct emissions
Transportation
Private vehicle Public transport
Domestic fuel consumption
LPG
Natural gas
Secondary footprint
Indirect emissions
Electricity
Food
Household products
Paper
Plastics
Construction
Walking, Bicycle
Lifestyle
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Methodology & Assumptions
Identified activities leading to Direct & Indirect emissions
For Electricity
Calculated power ratings of appliances & estimated time usage on day
basis ; converted day data to year
For NCR region electrical emission factor was calculated using Northeastern electricity grid data (0.83 KgCO2/kWh)
For Food
Assumed diet mainly consisting of Dairy products, eggs, rice, wheat Calculated calories intake per item mentioned above and multiplied
with calorie CO2 equivalent according to US National crops data
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Electricity
Electricity Watt(W) Time(hr)/per day CO2 (Kg/year)
Tubelight+Choke 55 16 263.384
Laptop 90 4 107.74
Fan 70 16 335.22
Mobile charging 4 2 2.39
Toaster 1050 0.083 26.18
Washing machine 500 0.5 10.68
Total 745.62
*Emission factor for NCR region 0.82 KgCO2/kWh
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Food
Items Calories in one year CO2 Equivalent of food
(pounds/calorie)
CO2 (Kg/annum)
Milk 65700 0.012 357.1452
Potatoes 17702.5 0.003 24.0576975
Tomatoes 3832.5 0.003 5.2083675
Eggs 4984 0.012 27.093024
Total 413.504289
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Transport
Mode of transport Average distance travelled yearly (km) CO2 equivalnet
(gm/km)
CO2 (Kg/annum)
Auto-rickshaw 2080 10.05 20.904
Bus 1040 4.19 4.3576
Train 5200 5.5 28.6
Total 53.8616
Methodology: Train distance calculated for round trip to Jaipur (250 km one side) every month
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Potential of mitigation
From the previous analysis potential of mitigation of CO2 emission seem possible only
in electricity & food (as transport & paper already contribute minimum)
Electricity Replacing light bulbs & fans with Energy star qualified
products ( Saves 359 Kg CO2/ annum)
Switching off lights & fans timely (Saves 341 Kg CO2/ annum)
Efficient handling of washing machine
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Results
CO2 Emission modes CO2 (kg/annum)
Electricity 937.14
Food 413.50
Transport 53.86
Total 1404.50
After mitigation 704.37
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Conclusions
CO2 emission comes out to be 1.4 tons/annum against Indian
per capita emission of 1.9 tons/annum
The results shown are approximate and some emission
activities were not included in the study which would
contribute to increase in the result
Comparison with Indian per capita shows that being a student
living with minimum luxuries, not driving automobiles, the CO2
emissions are still high and would increase in future
Results show that this careless & irresponsible lifestyle needs a
change
A changed lifestyle can reduce CO2 emissions by 700 Kg/annum
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Recommendations
Change in lifestyle Accepting energy saving as part of lifestyle
Encouraging energy star appliances in institute rooms
Switching off lights & fans while leaving classrooms, hostel common
rooms, bathrooms, exhausts etc.
Two way switch/MCB outside every room
Use a manual lawn mower
Unplug electronics that draw power even when theyre turned off
Use washing machine for large number of clothes
Discouraging use of paper in institute area mostly during cultural
festivals & other type of notices
Spread the word; create awareness among students, sensitize them
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Reduce Carbon footprint
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References
CO2 Emissions from passenger transport in India, Sanjay Singh
Environmentally effective food choices, National food
administration, Sweden food guidelines
http://www.epa.gov
http://www.zeroghg.com/
http://www.co2list.org/
http://www.epa.gov/http://www.zeroghg.com/http://www.co2list.org/http://www.co2list.org/http://www.zeroghg.com/http://www.epa.gov/