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PREPAID ELECTRICITY REVENUE MANAGEMENT Using technology and innovation to reduce prepaid meter tampering 1 A.Mutono MSC MOTI 30 August 2011
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PREPAID  ELECTRICITY  REVENUE  MANAGEMENT

Using technology and innovation to reduce prepaid meter tampering  

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A.  Mutono MSC  MOTI           30  August  2011

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Acknowledgements

•  Academic supervisor: Prof R. Marcus •  Field Supervisor: Dr. P Naidoo •  Reading Committee:

Y. Kidane – Ntlangani Business solutions D Mukasa – Systems Engineer S. Twinoburyo – University of Pretoria G. Kyama – Human Science Research Council J. Mammadalizade – University of Pretoria

•  Family members: A. Mutono and K. Mutono

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Why  the  study

•  Involved in the industry •  Theft of electricity is a growing phenomenon. •  highlight and separate electricity revenue

collection as a key component •  Debunk the legacy perception that electricity is

about engineers and electricians. •  Alternative Cost recovery models •  Impact on Socio and economic standards of

middle to lower income families of South Africa

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Statement  of  the  problem  and  Background

Electricity utilities in South Africa are faced with the problems of meter tampering which causes financial losses, fatalities and injuries, denial of services and high maintenance costs both to the service providers and the public in general. •  Government sources estimate meter tampering to be costing

the industry at least R625 million annually. Source: Minister of Energy Dipuo Peters July 2010

•  Coetzee (2008) estimates the financial loss at 58% of total revenue.

Brand (2005) Heusden (2009: 238) advance that the introduction of prepayment meters in South Africa led to a rise in tamper rates.

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Prepaid  Meter  Installations  in  Africa

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Region   Number  of  Prepayment  meters  installed  

South  Africa   6,300,000  

Rest  of  Africa   2,000,000  

Source: Rebecca Ghanadan (2009) Key factors that led to the growth of Prepaid Electricity in South Africa

•  Abundant supply of electricity in the 1980s •  Use of electricity as tool for social and economic emancipation •  Need for an alternative cost recovery model. •  Eskom’s coalition of innovators; system developers, standards,

procurement. •  RDP and Growing urbanisation after 1994. •  Demand management - Need for customers to manage the

consumption of electricity

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Meter  tampering Tampering of electricity meters is any action by customers to adjust or by pass their meters so that they can use electricity without paying for it. Self or hire technicians to tamper. Some of the ways tampering is done; •  sugar and water •  Insert pins into the meter •  Cable bypass •  Uninstall the meter;

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Related  Studies Scholars have conducted studies on electricity theft but not particularly on prepaid electricity meter tampering; Mouton (2004) proposes a remote check meter device that is able to remotely check the status and consumption of the meters without entering the residency. Hearn (2006) suggests that the sale of prepaid electricity should be conducted online via internet, which will remove weaknesses of the currently used prepaid electricity vending systems. Subramoney (2009) advocates the need for the industry to adopt a standard interface protocol specification to facilitate prepaid sales from a centralised server.

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Empirical  Context  of  the  study

This study addresses a combination of everyday issues; •  revenue management, •  customer relationship management, •  accounts management, •  consumer behaviour and, •  the overall social and economic environment.

The study is of interest to the following; •  Electricity utility companies •  Policy makers and Public officials •  Electricity customers •  Academics •  Prepaid systems and solution providers

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Objectives  of  the  study •  To describe the environment within which meter

tampering is taking place and efforts by utilities to combat the tampering;

•  To explain the negative effects and consequences of meter tampering;

•  To predict potential consequences if tampering is not combated

•  To provide solutions which have the potential to reduce meter tampering and improve revenue collection for prepaid electricity service providers.

•  To highlight the importance of electricity to human progress

•  To set the scene for further research in this area

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Research  Approach Case study: Centlec Data and information gathering techniques; Primary data •  Survey Questionnaires. 40 customers. Random sampling •  Interviews with Centlec members of Staff. Interview guide to

two members sampled from the following departments; Finance, Meter inspections, Sales systems, Engineering, Customer care, Executive management, Mangaung Local Municipality and Prepaid systems service provider.

•  Interviews the two Eskom Managers based in Bloemfontein •  Observation Secondary Data Published literature on the prepaid sector Journals Media reports 10

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About  Centlec

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Est. 2002 by Mangaung Local Municipality

Customer base •  200,000 residences •  4400 businesses •  19 towns

•  Jan - June 2009, 33,445 prepaid customers did not purchase electricity credits – R33 m lost

•  Executive Report to the board blames meter tampering

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Key  Survey  findings

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Response   Percent  

Yes   75  

No   25  

Total   100  

Whether customers know of anyone who has tampered their meter

Response   Percent  

Yes   35  

No   65  

Total   100  

Customers’ view on whether their prepaid purchases are a fair reflection of their consumption levels

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Response   Percent    

Yes   40  

No   60  

Total   100    

Customers said they were happy with the Prepaid electricity service

Response   Percent  

Yes   35  

No   65  

Total   100  

Whether they would desire to change from a prepaid meter to a credit meter

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Key  study  findings

•  Un stable electricity tariffs : Annual rises of between 25 to 30% since 2008

•  Unit rates for electricity differ at certain points of sale: at the Municipality a unit is 0.82 while at some supermarkets the same unit costs R1.80

•  Centlec reports a prepaid customer base of 158,000 customers and yet the transaction database only has 144,469 active customers.

•  The customer database features missing fields, in some cases, there was only a meter number without the user’s details

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 Recommendations:  Frame  work  to  reduce  meter  tampering  and  improve  revenue  collections

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Implement  Advanced  Metering  Infrastructure

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Funding smart meter installations through private sector investment

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Centlec  Revenue  Potential

Item  Description   Unit   Total  

Total  Revenue  from  Prepayment  Electricity  Sales  Dec  2008       R12,000,000  

Total  Number  of  prepayment  customers       144,000  

Key  Revenue  Indicators  

Domestic  customer  tariff  as  at  1  Dec  2008       R0.53    

Average  monthly  sales  per  customer       R85.71    

Average  kwh    consumption  per  prepayment  customer   KWh   161.73  

Eskom  Estimate  for  prepayment  customer  usage*   KWh   350  

Expected  average  purchases  per  single  Centlec  customer       R185.50    

Potential  Revenue  

Total  Monthly  Revenue  collections       R25,970,000  

Installation  of  intelligent  solution  

Potential  revenue  improvement  after  eliminating  losses       R13,970,000    

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Short  messaging  Service  (SMS):  Implementing  an  integrated  approach  to  Customer  relationship  management

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Extending the Vending foot print: Introducing a virtual token

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Creating a frame work for operational efficiency at Centlec

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Technology  

Customer  service  

Customer  sa4sfac4on  

P r e p a i d   E l e c t r i c i t y  

Revenue  

E c o n o m i c  

situa4on  

E l e c t r i c i t y  

Tariffs  

Token  Purchases  

Leadership  

and  

management  

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• Annual  Prepaid  sales    R  144  million • Customers  with  no  transactions  32976 • High  levels  of  meter  tampering • Limited  points  of  sale • High  tariffs • Lack  of  investment  funds • Poor  customer  records • Poor  revenue  management

Current  state

• Installation  of  smart  meters • Customer  audit • Extend  point  of  sale  network • Real  time  revenue  management • Introduce  Social  tariff • Customer  feedback  management

Value  Intervention

• Annual  Prepaid  sales  of  R300  million • Stable  tariffs • Customers  become  managers • Fraud  elimination  and  loss  reduction •   New  integrated  model  of  utility  management

Realised  State

Impact of the operational efficiency model on Centlec

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Recommendations for further study

•  Further study on the transformational aspects of prepayment electricity provision.

•  Review the impact of deregulation, customer options and co generation.

•  To investigate alternative cost recovery models like the cooperative model implemented by TVA

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Takeaway

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The study reveals a broad over view of the prepaid electricity sector in South Africa, offering insights into the dynamics affecting prepaid development and sustainability. Particularly it shows the challenges faced by government and other institutions in delivering services in a highly contested space influenced by economics and politics. As an entrepreneur it amplifies the sense of urgency and provides the agency to take part in efforts to design and implement systems, and solutions that add value and reduce the cost of delivering electricity services in Africa.

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Thank  you

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