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The Impact of Advanced Metering Infrastructure (AMI) on African Electricity Utilities
Kobus van den Berg (Pr Eng)
Principal Engineer
NETGroup
PIESA Workshop, Lilongwe, Aug/Sept 11
Overview
• Introduction
• What is Smart Metering
• International Business cases
• Business drivers for SM in Africa
• Building a business Case in Africa
• Financial model
• Risk management
• Conclusion
You have to be Smart enough to survive in Africa
Introduction• New metering technology implemented worldwide to
address
– Energy shortages
– Meter readings
– Revenue protection
– Customer service improvement
– Load management
• World face two major issues
– Greenhouse effect
– Shortage of generation capacity
• AMI or SM introduced to assist
• Demanding process for all role players
• Significant developments in SM arena
What is Smart Metering?
• The European Smart Metering Alliance (ESMA)
(Koponen, 2008) defined smart metering as follows:
• Automatic processing, transfer, management and
utilization of metering data
• Automatic management of meters
• 2 way data communication with meters
• Provides meaningful and timely consumption information
to the relevant actors and their systems, including the
energy consumer
• Supports services that improve the energy efficiency of
the energy consumption and the energy system
(generation, transmission, distribution and especially
end-use)”
Smart Metering System
Back office
systems
Customer
Internet
Controlled
load
Customer
In-house
display
Meter
Website
Billing &
Consumption
Smart meter
server
LAN
Communication
Medium
Main International Business drivers
• Asset utilization
• Energy efficiency
• Customer Service
• Operational efficiency
Wisdom and watchful eye of the African Scops Owl
Main Business Drivers in Africa
• Low electrification levels
• Legislation
• Managing networks
– Outage
– Load control
– Maintenance and extension
• Improved meter reading/ billing
• Improved cash flow
• Improved customer services
• Reduction in energy losses
• Energy conservation
Electrification Levels in Africa
• In 2009, an estimated 585 million people had no access
to electricity in sub‐Saharan Africa. Unlike many other
regions of the world, under current assumptions, that
figure is expected to rise significantly by 2030 to about
652 million – an unsustainable and unacceptable
situation. (Baziliana et al, 2011)
• Despite African government policies that kept electricity
prices low, some 550 million people, or almost 75 per
cent of the population of sub-Saharan Africa, still do not
have access (Kimani, 2008)
• South Africa and Egypt have the continent’s highest
electrification levels at approximately 70 %, while the
average for the SADC region is only 20 %.
Legislative Drivers
• The South African Government (Department of Minerals
and Energy, 2008) published a notice R773 on 18 July
2008. With reference to SM it stated in short that:
• “ An end user or customer with a monthly
consumption of 1000kWh and above must have a
smart system and be on a time of use tariff not later
than 1 January 2012”
• In Europe SM implementation mainly regulatory driven
• African regulators need to play an active role.
Network management
• Feedback from customer consumption point
• Supply Failure visible via SM systems
• Dispatch maintenance teams timeously
• Load control and limiting
• Network maintenance and extension information
available
Meter reading and billing
• Improved meter reading accuracy
• Timeous and correct billing
• Synchronize billing with calendar months
• Motivation to customers to pay bills
• Improved utility cash flow
Improved Customer Service
• In-house display inform customers
– Consumption
– Tariffs
– Cost
– Load limiting
– Payment reminder for pending disconnections
• Remote connection/ re-connection
• Download Prepaid credit
Customer information display
Look for opportunities like the Grey Heron
Non- technical losses
• Incorrect metering
• No Metering/ malfunction
• Incorrect meter readings
• Tampering with meters
• Bypassing of meters
kW
h
Commercial losses
• Incorrect billing
• Incorrect tariffs
• Ineffective revenue collection
• Administrative losses
$$$
?
Total Electricity losses in Africa
Source data: USA, Energy Information Administration
SM facilities to support Revenue Protection
• Tamper detection/ reporting
• 1/2h Profile readings stored
• Meter failure reported
• Communication failure reported
• Automated energy balancing
• Consumption pattern anomalies detected
• Remote disconnection if bill not paid
Energy balancing
Supply to substation
SM SubS
SM1
SM2
SM3
SM_n
Customers
Substation
Substation SM units = Sum customer SM units
SM requires new RP methods
SM
More Data
NEW RP methods
New approach to Revenue Protection
processes:
• Fewer sweep audits
• Frequent meter readings will flag meter tampering
• Field work more directed at specific cases
• RP meter data related rather than field work
• Automated energy balancing
• Tariff problem detection
• Reading problems and non payment problems detected
easily
Energy conservation
• Customers more aware of their consumption
• Research studies indicate that customers can, by
becoming aware of electricity usage, lower their
consumption by up to 10%. (Wood, 2011)
• Customers relate to consumption and cost of electricity
and tend to used electricity more efficiently.
• Time of Use tariffs can be implemented to assist with
demand control and generation shortages.
Building a business case in Africa
• Strategic approach:
• Investigate and interact with utility management to
determine the view, strategies, future vision for the
specific utility
• Carefully determine and evaluate specific challenges in
the utility
• A viability study with the following deliverables will have
to be performed:
– Determine the functional needs of the utility.
– Investigate and propose a technological solution.
– Investigate the financial viability and propose a financial model
for this solution
Financial Model Cost elements
– Initial capital investments
– Operational cost
– Training and appointing new skilled personnel
– Adapting internal processes
– Conversion of existing billing and other computer
systems
– Stranded costs e.g. scrapping of existing metering
equipment before the end of their usable operating
life
– Loss of revenue due to lower electricity sales
– Shorter life span of newer technologies
Financial Model savings for Utility
– Avoided costs where tasks are not required any more or
reduced
– Reduced electricity theft
– Improved network control
– Electricity outages restored quicker and thus less energy sales
lost
– Remote control of networks and demand control
– Improved cash flow due to timeous bill payments
– Reduced losses due to non-payment
– Improved capital expenditure on network maintenance and
extension
– TOU tariffs can be used to improve cost reflectiveness of
electricity.
– Accurate readings and bills
Financial Model, Customer savings
– Improved energy efficiency due to information
feedback to customer on in-house display
– More accurate readings and bills
– Reduction in energy cost by using energy in low cost
TOU time slots
Need the skills of the Pied Kingfisher
– a master at flight
Risk Factors
• Technical reliability
• Unreliable communication infrastructure
• Lack of skills to install and maintain
• Financial viability
• Standards and technology aging
• Cyber Security
• Customer related issues
Conclusion
• Smart Metering can play a financially viable roll in
African electricity utilities
• A detailed unique business case needs to be developed
for each utility.
• It is vital that an effective financial model be compiled to
reflect the cost and expected savings within the utility
when SM is implemented.
• The necessary skills be acquired or contracted to plan,
manage and operate the systems
• The risk factors be managed well to ensure the
successful rollout of systems
Contact Details
• Kobus van den Berg (Pr Eng)
• Principal Engineer
• NETGroup South Africa (Pty) Ltd.
• Tel no: +27 11 845 3734
• Fax no: +27 11 845 3753
• Mobile: +27 82 427 3428
• e-mail: [email protected]
Africa will reward you with its natural beauty