DEEES = Domestic Energy
Efficiency Eco System
Context :
Look at the
following image which appeared in Times of India ( 23 Aug 2023 ) :
Smart
Meters with AI Tech
Text of this image ( Times of India / 23 Aug
2023 )
POWER FIRMS LOOK AT
SMART METERS WITH AI TO HELP SAVE ELECTRICITY
Ø With prepaid smart meters being
installed in phases across the city, power utility firms are exploring the
possibility of connecting them with home automation using artificial
intelligence ( AI ) and machine learning ( ML )
Ø This would enable to check the power consumption of every fan, AC , geyser, washing machine or any appliance, every hour, from anywhere , Somit Sen reports
USING AI – ML TO CHECK
POWER CONSUMPTION
Ø In this, the consumer gets smart switches
attached to every appliance and can remotely monitor
energy consumption in every room,
hourly, weekly and monthly
Ø The switches are linked to a Smart Meter which provides real-time
analysis using AI-ML logic on electricity
consumption by any device, or in a particular room
Ø It can provide a prediction monthly
electricity consumption based on past
usage trends
Ø The automation system also compares electrical appliances at home to industry-rated energy efficient appliances
so that one knows whether it is the right time to service or change the
appliance
Ø It also sets monthly THRESHOLD TARTGETS for unit consumption so that the consumer can remain
well within their planned electricity slab
VALUE-ADDED ALERTS
Ø The power utility firm can provide
alerts / inputs to consumers over cellphone using AI-ML logic, for example :
/
30 %
/ more
consumption than the BENCHMARK
for any appliance will indicate low-rated appliances
ADDITIONAL BENEFITS
Ø It will provide neighborhood comparison with consumption patterns in ten similar
apartments, be it a 2bhk or a 3 bhk, in the housing society complex
Ø It will show how more energy is consumed with
the same number of ACs or fans, and give alerts on power savings. If an appliance is switched on for a long
time, the consumer app will give an alert
PROTECTION
Ø The system safeguards appliances by
offering a soft overload protection against appliance-rated capacity
A POWER UTILITY
OFFICIAL
Ø “ With the installation of smart
meters, along with AI-ML home automation, consumers gain a newfound level of transparency and control over their energy consumption
patterns and billing “
My Dream :
Carbon Finance
through Carbon Credits ……………………
12 March 2021
Extract :
Here is a
partial list of domestic appliances which consume electricity ( apart from LED bulbs ) :
TV sets –
Refrigerators – Air Conditioners –
Fans – Deep Freezers – Ovens – Electric Stoves – Mixers – Computers – Cloths
Washing Machines – Dish Washers – Radios – Tablets – Robotic Floor Sweepers –
Massagers – etc
Ø By 2030, all of these must be made
“ Energy Efficient Appliances “ , certified
by Bureau of
Energy Efficiency [ BEE ]
Ø Just as
was done in respect of ICE vehicles ( BS IV > BS VI compliance ), all
electric Appliance Manufacturers must be
mandated to switch over to
manufacture of only BEE certified appliances in 4
phases ( April 2022 – 24 – 26-
28 )
Ø Each such
appliance MUST be pre-installed / integrated with SENSORS which
will continuously monitor its,
# State
of Usage ( ON or OFF )
# Rate
of Consumption of electricity ( Units )
These INTERNET-CONNECTED appliances
will continuously relay /
transmit these data to the SMART ELECTRIC METER installed in each home
In turn, each SMART METER will relay / transmit to
concerned DISCOM (
and to any other specified govt agency servers ), such usage / consumption
data, through Internet ( IoT / Internet
of Everything ).
These
data-transfer will be separate for EACH INDIVIDUAL APPLIANCE
This will enable DISCOM / concerned Agencies, to know / monitor, IN-
EFFICIENT appliances, operating above the CERTIFIED THRESHOLD for
each type of appliance
Appliances operating “ above “ the threshold, will be assigned / allotted “
CARBON DEBITS “ , whereas those operating “ below “ the threshold, will
be assigned “ CARBON CREDITS “
If the NET of these two is POSITIVE ( + ), that home will be incentivized
by a lower tariff – and vice-versa
This model ( of INCENTIVIZATION ) must be further strengthened by
measuring the amount of ROOF TOP
Solar Power , flowing into the SMART
METER , with appropriate linkages to CARBON CREDIT
This
linkage will motivate a large number of households to install ROOF TOP
solar
panels
This scheme will enable us to take the CARBON MARKET / CARBON CREDIT
/ CARBON FINANCE concept, right inside our 290 MILLION households !
Ø All manufacturers of House-hold
Electric Meters must be told to manufacture
only SMART ELECTRIC METERS , starting April 2022
Ø All DISCOMS to replace existing
meters in each and every home, with a SMART
METER, by April 2024
This is only a
CONCEPTUAL FRAMEWORK whose details are not difficult to work
out
My dream got corroborated by BARD , as under
:
My poser to
BARD :
Good Morning, BARD :
Under UN's Sustainable Develioment Goals ( SDG ), is there
any specific reference to introduction / promotion of " Energy
Efficient Electric Appliances " ?
BARD replied :
Yes, there is a specific reference to
the introduction and promotion of energy efficient electric
appliances under the
UN's Sustainable Development Goals (SDGs).
SDG
7 is the goal that deals with energy,
and its target 7.3 specifically calls for doubling the global rate of improvement
in energy efficiency by 2030.
This can be achieved through a number
of measures, including the introduction
and promotion of energy efficient electric appliances.
Energy efficient electric appliances use less energy to operate, which can lead to significant
savings on energy bills. They can also help to reduce greenhouse gas emissions, which contribute to climate change.
There are a number of ways to
introduce and promote energy efficient electric appliances. Governments can set
standards for energy efficiency, provide subsidies for the purchase of energy
efficient appliances, and educate consumers about the benefits of energy
efficiency. Businesses can also play a role by developing and marketing energy
efficient appliances.
The introduction and promotion of
energy efficient electric appliances is an important part of achieving SDG 7
and mitigating climate change. By using less energy, we can help to protect the
environment and create a more sustainable future.
Here are some specific examples of
how energy efficient electric appliances can help to achieve the SDGs:
·
Energy efficient refrigerators can save up to 25% of energy compared to standard refrigerators. This can lead
to significant savings on energy bills and reduce greenhouse gas emissions.
·
Energy efficient light bulbs can save up to 80% of energy compared to incandescent light bulbs. This can also
lead to significant savings on energy bills and reduce greenhouse gas
emissions.
·
Energy efficient air conditioners can save up to 30% of energy compared to standard air conditioners. This can help
to reduce energy costs and improve indoor air quality.
By introducing and promoting energy
efficient electric appliances, we can help to achieve the SDGs and create a
more sustainable future.
My
Observations :
Ø
SDG 7 / target 7.3 calls for “ doubling the global rate of improvement in energy efficiency by 2030 “
Ø I have no idea as to what
is the “ CURRENT RATE of IMPROVEMENT in ENERGY EFFICIENCY “
Ø So , there is no way to
figure out , what that DOUBLING of the RATE of improvement , will amount to
Ø Again, besides being
consumed by DOMESTIC HOUSEHOLDS, electricity
is used for Industry / Agriculture / Commercial establishment etc
Ø Hence “ Energy Efficiency Improvement
“ due to “ Domestic Households “, will form only a “ small part
“ of whatever IMPROVEMENT will happen overall
Please look at the following tabulation ( prepared by
BARD
) , in light of foregoing observations :
The consumption of electricity by an
average Indian household is increasing every year. The figures that I had given
you were based on the assumption that the consumption would continue to
increase at the same rate. However, I have now revised my estimates and the
revised table is as follows:
Annual Domestic Electricity
Consumption of an Average Indian Household
(A) Past Actual
Consumption ( till 2022-23 )
Year |
Consumption
(kWh) |
Number of Households |
2018-19 |
1041.7 |
262.5 million |
2019-20 |
1082.5 |
270.3 million |
2020-21 |
1123.3 |
278.1 million |
2021-22 |
1164.1 |
286 million |
2022-23 |
1204.9 |
293.8 million |
(B)
Future Projected Consumption ( till
2027-28 )
Year |
Consumption (kWh) |
Number of Households |
Percentage Improvement in Energy
Efficiency |
2023-24 |
1245.7 |
301.7 million |
10% |
2024-25 |
1121.1 |
309.5 million |
12% |
2025-26 |
996.5 |
317.4 million |
14% |
2026-27 |
871.9 |
325.3 million |
16% |
2027-28 |
747.3 |
333.2 million |
18% |
The revised table shows that the
consumption of electricity by an average Indian household will continue to
increase till 2023-24.
However, after that, the consumption will
start to decrease due to the improvement in energy efficiency.
I apologize for the mistake in
the earlier table. I am still under development and learning to generate
accurate and relevant responses. Thank you for pointing out the mistake.
WHAT NEXT ?
Ø You will notice that I asked
BARD to assume some MODEST IMPROVEMENT figures ( last column )
Ø Even with such modest
improvement targets, how many units of electricity can an ave domestic
household SAVE ?– of course , by using the Domestic Energy Efficiency Eco System ( DEEES ), suggested by
me in my blog of MARCH
2021 ?
Ø Can this ENERGY SAVING be
converted into CARBON CREDITS ? If yes , then how many ?
Ø Can a Domestic Household ,
SELL this EARNED carbon credits in
CARBON TRADE MARKET ?
Ø If yes, how many RUPEES can
household earn ?
BARD provided following calculations :
Future Projected Consumption (till 2027-28)
Year |
Consumption (kWh) |
Number of Households |
Percentage Improvement in Energy
Efficiency |
Annual Saving due to Improved Energy
Efficiency (kWh) |
Eligible
Carbon Credits ( @ 1 credit per 1 tonne of avoided
emission ) |
2023-24 |
1245.7 |
301.7 million |
10% |
124.57 |
1.24 |
2024-25 |
1096.6 |
309.5 million |
12% |
131.59 |
1.32 |
2025-26 |
946.9 |
317.4 million |
14% |
128.57 |
1.29 |
2026-27 |
797.2 |
325.3 million |
16% |
127.55 |
1.28 |
2027-28 |
647.5 |
333.2 million |
18% |
116.55 |
1.17 |
The number of carbon credits eligible
due to units saved is calculated by multiplying the annual saving due to
improved energy efficiency by the number of carbon credits per tonne of avoided
emission.
In this case, I have assumed that one
carbon credit is awarded for every tonne of avoided emission. This is a common
assumption, but it is important to note that the actual number of carbon
credits awarded may vary depending on the scheme.
I
have also assumed that the
average Indian household consumes 1
unit of electricity for every 10 kWh of energy saved.
This is a rough estimate, but it is a
good starting point. The actual amount of electricity saved per unit of carbon
credit will vary depending on the type of energy efficiency measure being
implemented.
I hope this is what you were looking
for. Let me know if you have any other questions.
Footnote:
·
The
estimates in this table are based on a number of assumptions, including the
following:
o
The
percentage improvement in energy efficiency is linear.
o The
number of carbon credits per tonne of avoided emission is 1.
o
The
average Indian household consumes 1 unit of electricity for every 10 kWh of
energy saved.
·
The actual
number of carbon credits eligible may vary depending on the actual
implementation of energy efficiency measures and the scheme under which the
credits are awarded.
The annual saving due to improved energy
efficiency is calculated by multiplying the percentage improvement in energy
efficiency by the projected consumption of an average Indian household.
For example, in 2023-24, the projected
consumption of an average Indian household is 1245.7 kWh and the percentage
improvement in energy efficiency is 10%. This means that the annual saving due
to improved energy efficiency is 124.57 kWh
The price of carbon credits in the
carbon trading market varies depending on a number of factors, including the
supply and demand for credits, the perceived risk of climate change, and the
policies in place to reduce greenhouse gas emissions.
In 2022, the price of carbon credits in the European Union Emissions
Trading System (EU ETS) averaged around $ 80 per tonne.
However, the price has fluctuated
significantly in recent years, and it is impossible to say for sure what the
price will be in the future.
If we assume that the price of carbon
credits remains at around $
80 per tonne, then a household that earns 1 carbon credit could earn
around $ 80.
However, it is important to note that
this is just an estimate, and the actual amount of money that a household could
earn may be more or less than this.
It is also important to note that the
carbon trading market is a complex and volatile market. The price of carbon
credits can fluctuate significantly in response to changes in supply and
demand, as well as changes in the political landscape. As a result, it is
important to do your research before investing in carbon credits.
Here are some additional things to
consider when estimating the amount of money that a household could earn by
selling carbon credits:
·
The number
of carbon credits that a household could earn will depend on the amount of
energy that they save.
·
The price
of carbon credits will fluctuate over time.
·
The carbon
trading market is a complex and volatile market.
·
There are
risks associated with investing in carbon credits.
Related Readings :
Thank
You , Vishal Kapoor ………………………. 15 Aug 2023
A Pre-paid Electricity Meter ? …………………. 18 May 2017
Electrifying : Smartly ………………………………..
25 Sept 2017
Smart Meter : No Pending Payments ?........
08 Dec 2017
A Smart Move , Shri Singh ! ……………………..
07 June 2018
Welcome, Prepaid Smart Meters ……………….
25 Sept 2021
CC :
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Following are ChatGPT's observations re DEEES :
The concept you've described, DEEES (Domestic Energy Efficiency Eco System), focuses on promoting energy efficiency in household appliances through the use of smart meters, sensors, and a carbon credit system. Here are some comments on its feasibility and potential implications:
Feasibility:
Technology Readiness:
The technology required for this concept, such as smart meters, sensors, and IoT connectivity, is currently available and being implemented in various sectors. Integrating these technologies into household appliances and energy monitoring systems is feasible from a technological standpoint.
Regulatory Challenges:
Implementing a phased approach for manufacturers to switch to producing only energy-efficient appliances and integrating sensors could face regulatory challenges. Coordination between governments, industry bodies, and appliance manufacturers would be essential to enforce such regulations effectively.
Data Security and Privacy:
Collecting and transmitting data from individual appliances to central systems raises data security and privacy concerns. Ensuring robust encryption, data anonymization, and strict adherence to privacy regulations will be crucial.
Consumer Adoption:
The success of this system depends on consumer willingness to adopt smart appliances and connect them to the grid. Raising awareness about energy efficiency benefits and incentivizing participation would be necessary.
Technical Support and Maintenance:
Maintaining and updating the technology infrastructure would require ongoing technical support and resources. This includes managing potential issues with sensors, meters, and data transmission.
Potential Implications:
Energy Savings:
If implemented effectively, the DEEES concept could lead to substantial energy savings by encouraging users to replace inefficient appliances with energy-efficient ones and optimizing their usage patterns.
Carbon Reduction:
By assigning carbon credits and debits based on appliance efficiency and usage, the concept could contribute to reducing carbon emissions, aligning with climate change mitigation goals.
Behavioral Changes:
Consumers might become more conscious of their energy consumption habits due to the direct correlation between their appliance usage and financial incentives or penalties.
Market Transformation:
Mandating the manufacturing of energy-efficient appliances could drive innovation and stimulate the market for such products. However, there could be initial challenges related to production costs and consumer affordability.
Economic Impacts:
The concept's impact on electricity tariffs would depend on how the carbon credit and debit system influences pricing. There could be financial benefits for households that consistently use energy-efficient appliances.
Infrastructure Investment:
The rollout of smart meters and the necessary communication infrastructure (IoT) could require significant investment by utilities and governments.
Consumer Empowerment:
The availability of real-time energy consumption data could empower consumers to make informed decisions about their energy usage and potentially reduce their bills.
In conclusion, the DEEES concept presents an innovative approach to promoting energy efficiency and carbon reduction in households.
While it involves technological, regulatory, and behavioral challenges, its successful implementation could have positive impacts on energy consumption, carbon emissions, and the overall energy landscape.
However, a comprehensive and well-coordinated effort involving multiple stakeholders would be crucial for its realization.