This project recommends the adoption of Smart Energy Meters for electricity usage metering in Nigeria. It is expected that this model will curtail both technical and revenue losses in the distribution side with benefits to the customer, the IoT company and the utility company.

1. PRESENTED BY :
ENGR. REMIGIUS OKORO
BEING A REQUIREMENT FOR THE
COMPLETION OF THE INTERNET OF
THINGS (IOT) CAPACITY BUILDING
COURSE BY GSMA.
FEB, 2018.
SMART METERING FOR
ELECTRICITY SUPPLY

2. OUTLINE
7 February, 2018Remigius Okoro, NCC, Nigeria.
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 Introduction.
 IoT Solution and Benefits.
 Technologies Considerations.
 Business Model.
 Operational Issues and Policy Considerations.
 References.

3. INTRODUCTION
7 February, 2018Remigius Okoro, NCC, Nigeria.
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 One of the challenges of electric power distribution in
Nigeria is that huge commercial and technical losses are
presently incurred using traditional metering methods.
 Only an average of 40% of customers are metered at all in the
a given section of the country.
 Aggregate Technical and Commercial Collection (AT&C)
losses averaged 49% in 2016 in the north-central of the
country and Abuja.
 These statistics give a picture of the inefficiencies of the
distribution side of electricity in the country. Therefore, better
technologies and business models should be considered.
 Smart metering will ensure that these losses are minimised
greatly with benefits to the utility company and consumers.

4. IoT SOLUTION AND BENEFITS
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• The problem can be solved by the
introduction of Smart Electricity Meters
in all customer premises and minimise
human tampering and intervention.IoT Solution
• Revenue losses are minimised since usage
records and billing will be transmitted
and processed centrally by the utility
company.
• Eliminates manual reading of meters and
estimated billing.
• Technical losses are limited . Smart
meters can learn usage patterns and cut
supply when not needed.
Benefits

5. TECHNOLOGY CONSIDERATIONS
7 February, 2018Remigius Okoro, NCC, Nigeria.
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Feature Requirement Comment
Network Area Wide The connectivity of all to the utility company
backend requires mainly traditional cellular
connectivity.
Spectrum Shared/Dedicated The spectrum could be cellular (dedicated)
or LPWA (shared).
Battery life Not Applicable This is not applicable. It is powered by mains
supply.
Connectivity Cost Medium Connectivity cost is medium since cellular or
LPWA can be used.
Module Cost Low The module cost should be low to make it
affordable.
Bandwidth Low Low bandwidth is required.
Technology 2G Traditional cellular is preferable.
Other
technologies
LPWA, 3G

6. BUSINESS MODEL
7 February, 2018Remigius Okoro, NCC, Nigeria.
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 The most suitable business model for this solution will be
the Product-as-a-Service business model.
 The IoT company installs, maintains and provides connectivity cost
for the smart metering solution while charging a recurring fee to the
utility company who in turn collects revenue from consumers.
 The transactional model, in which the utility company acquires the
smart meters and installs in the customer premises, would add to the
utility company’s overhead costs.
 Therefore, the best business model for the IoT Smart Energy
Metering Solution shall be the Product-as-a-Service business
model.

7. OPERATIONAL ISSUES AND POLICY
CONSIDERATIONS
7 February, 2018Remigius Okoro, NCC, Nigeria.
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Operational Considerations
• Cellular network Coverage
may be poor in some
locations.
• Meter malfunction may
occur, leading to poor billing
or inconvenience to the
customer.
Policy Areas
• Stringent laws must be in
place to punish unauthorised
access to the smart meters.
• A Service Level Agreement
(SLA) must be in place to
define responsibilities among
customers, the IoT company
and the Utility provider.
• Usage records obtained from
the consumer, needs to be
kept confidential.

8. REFERENCES
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 http://www.nerc.gov.ng/index.php/library/industry
-statistics/distribution
 https://en.wikipedia.org/wiki/Smart_meter
 https://www.thebalance.com/pros-and-cons-of-
smart-meters-1182648
 GSMA SMART CITIES GUIDE: STREET
LIGHTING (How mobile operators can help cities
manage and control their streetlights and use them
to provide new smart city services)