Page 31 - HUDCO-SHELTER-April22

THEME PAPER

Table 7: Comparison of carbon emission for construction materials
S No Item Quantity Unit KgCO /per Total Kg Remark
2
unit CO 2
1. Clay brick 10500 No 0.59 6195.00
2. Fly ash brick 10500 No 0.11 1155.00 81.36% less

3. OPC 62 Bag 0.89 660.38
4. PPC 62 Bag 0.60 445.2 32.58% less
5. Steel .0089 Tonne 1.987 18.00

6. Recycled steel .0089 Tonne 0.357 4.00 78.0% less

Table 8: Comparison of carbon emission for electrical appliances
SNo Item Quantity Total Tonne CO / Total Remark
2
(No) Power Kwh Kwh CO Tonne
2
1. Tube Light 4.0 1507 0.0005883 0.89
2. CFL Light 4.0 561 0.0005883 0.33 63.0% less

Source: Department of Energy’s Energy Information Administration. Electricity sources emit 1.297 lbs CO per
2
kWh (0.0005883 metric tons CO per Kwh)
2
Novelty of this Project  Easy to maintain; and the wind and temperature

The novelty of this project  Easy to disconnect, reuse distribution at the urban
which can be suitably and recycle in its parts. level and such data could be
replicated in the urban areas seamlessly utilized by the
as well include the following: FUTURE DIRECTIONS individual building model
for the detail simulations
 Made with Simple, Low It is envisaged that in the of the wind or temperature
cost locally available near future, there would condition inside the building.
materials, tools and skills be a development of a Another key development
material; universal and integrated would be the integration of
model that could embed the the sensors with the urban
 Resistant to natural
hazards; entire urban and building model for master planning
models. As such, it allows the purpose and for creation of
 Envir onmentally seamless integration between smart cities. Such data at the
Sustainable and Energy these two scales of models. urban level would then be
Efficient; This will also facilitate the propagated to the building
development of the boundary level for better understanding
 Socially, aesthetically and conditions generated by the of the impact on energy,
culturally appropriate to urban model that could be
the context; building performance, etc.
easily utilized by the building At the building level, better
 Flexible for future model for the simulations. For integration of sensor data
upgrading and example, simulations could and performance simulations
extensions; be conducted to understand could be achieved and thus

April 2022 Volume 23 No. 1 - SHELTER 29