Why to move on to LED from Tube light and CFL

Why to move on to LED from Tube light and CFL

Assumptions:

  • Cost of electricity: ?8 per kWh
  • Hours of use per day: 6 hours
  • Carbon intensity of the grid: 0.85 kg CO2e per kWh

Energy Consumption per Day:

1. Tube Light (40W):

Energy consumption for 6 hours per day:

Energy?Consumption?per?Day?(kWh)=40W×6?hours /1000= 0.24?kWh

2. CFL (15W):

Energy consumption for 6 hours per day:

Energy?Consumption?per?Day?(kWh)=15W×6?hours /1000= 0.09?kWh

3. LED (10W):

Energy consumption for 6 hours per day:

Energy?Consumption?per?Day?(kWh)=10W×6?hours / 1000= 0.06?kWh

Energy Cost per Day:

Now, let's calculate the energy cost for each light:

1. Tube Light:

Energy?Cost?per?Day=0.24kWh×8?/kWh= ?1.92per?day

2. CFL:

Energy?Cost?per?Day=0.09kWh×8?/kWh= ?0.72per?day

3. LED:

Energy?Cost?per?Day=0.06kWh×8?/kWh= ?0.48per?day

CO2e Emissions per Day:

Now, let's calculate the CO2e emissions for each type of light, based on the carbon intensity of the grid (0.85 kg CO2e per kWh).

1. Tube Light:

CO2e?per?Day=0.24kWh×0.85kg?CO2e/kWh= 0.204kg?CO2e?per?day

2. CFL:

CO2e?per?Day=0.09kWh×0.85kg?CO2e/kWh= 0.0765kg?CO2e?per?day

3. LED:

CO2e?per?Day=0.06kWh×0.85kg?CO2e/kWh= 0.051kg?CO2e?per?day

Summary of Energy Cost and CO2e Emissions per Day (6 hours of use):

Conclusion:

  • Tube light: Has the highest energy cost (?1.92 per day) and CO2e emissions (0.204 kg CO2e per day).
  • CFL: Lower energy cost (?0.72 per day) and CO2e emissions (0.0765 kg CO2e per day) compared to tube lights.
  • LED: The most cost-efficient (?0.48 per day) and environmentally friendly option, with the lowest CO2e emissions (0.051 kg CO2e per day).

By switching from tube lights and CFLs to LEDs, households can save money on electricity bills and significantly reduce their carbon footprint.

SRI KRISHNAN V

Polymer Professional, Business Development in Compounding, Capital equipments sale related to Polymer Industry, Certified Corporate Trainer,

1 个月

Interesting calculations Dr GR. Thank you so much for your data based analysis. Appreciate and will implement in our home

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