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DNV GL © 2013 SAFER, SMARTER, GREENERDNV GL © 2013
Tariff Structures for Sustainable
Electrification in Africa
1
Webinar prepared for the European Copper Institute
Presenter: Dr. Viren Ajodhia
DNV GL © 2013
Agenda
 Project purpose
 Approach
 Country case studies
– Kenya
– Cape Verde
– Ghana
– Tanzania
– Senegal
 Conclusions & Recommendations
2
DNV GL © 2013
Project purpose
1. Review the tariff structures in representative countries in Africa
2. Assess these tariffs in terms of the long-term financial viability for
the electricity sector and their ability to attract capital
3. Offer suggestions regarding how to evolve to a healthier and more
attractive tariff structure
3
DNV GL © 2013
4
Approach
DNV GL © 2013
Approach – Define customer categories
 DNV KEMA defined four customer categories based on a review of
national load profiles
5
Source: DNV GL
DNV GL © 2013
Approach – Focus on Main Tariff Elements
 Some tariff elements are based on rather specific criteria and
complex pricing schemes, but represent only a minor share of total
grid charges
 Overview of tariff elements that have been included in or excluded
from the analysis:
6
Source: DNV GL
DNV GL © 2013
Approach – Tariff Comparisons
 Comparisons made at the level of the end-user tariff, due to
relatively limited unbundling of the electricity sector in Africa (i.e.
between generation, transmission, distribution and supply)
 Includes the costs of all government fees such as environmental taxes,
et cetera but excludes costs of Value Added Taxes (VAT)
 Comparison Basis
– All prices converted into EUR per kWh
– Average price for each of the four customer groups
– Domestic, Small Commercial, Large Commercial, Industrial
7
DNV GL © 2013
Approach – Financial Performance
 Return on Capital (ROC; pre-tax nominal) used as overall indicator of
financial performance
 Type of Analysis
– Assessment of tariff adjustments for utility to break-even
– Assessment of tariff adjustments for utility to get Rate of Return of 10%
(assumed as starting point for financial healthy performance)
8
DNV GL © 2013
9
Country Case Studies
DNV GL © 2013
General
10
 Country studies of:
– Kenya
– Cape Verde
– Ghana
– Tanzania
– Senegal
DNV GL © 2013
Kenya
11
 Population – 41 million
 GDP – 32 billion USD (2010)
 16-18% of the Kenyan population has access to electricity
 Network losses is around 19%
 energy demand forecast: from 7.4 TWh in 2009 to 92 TWh in 2030. This
corresponds to an annual increase of 12.8%
 Power generation capacity largely dependent
upon hydropower; Highly sensitive to
weather conditions
 Tariffs are set in a relative independent
manner with automatic adjustments for fuel,
inflation, and exchange rates
Sources: CIA World Factbook and LCPDP by Energy Regulatory Commission, March 2010 Source: DNV GL
DNV GL © 2013
Kenya – Calculation of average and required tariffs
12
Source: http://www.kplc.co.ke
 Kenya Power achieves relatively healthy results with current tariffs
generating ROC of 8.5% in 2010/2011
 If a ROC of 10% were to be reached, tariffs would have to increase
with 1.8%
 Potential for higher returns through reduction of losses
Source: DNV GL
DNV GL © 2013
Cape Verde
13
 Population – 516,000
 GDP – 1.65 billion USD (2010)
 Electrification in rural areas over 95%
 Network losses 26%
 Installed capacity is approximately 116 MW, including 25 MW of
wind power and 7.5 MW of solar power. The remaining share is
generated by diesel power stations spread across the islands
 Dispersed islands and their inherently small power stations have
resulted in high electricity costs
 No ‘Industrial consumption category’ according to DNV GL
grouping, due to lack of HV grid
Sources: CIA World Factbook and World Bank, 2011
DNV GL © 2013
Cape Verde – Calculation of average and required tariffs
14
 ROC of minus 10.5% means the financial prospects of Electra are
precarious
 For a break-even result, tariffs would have to be increased by
11.0% and even by 21.6% to achieve a ROC of 10%
 Potential for higher returns through reduction of losses
Source: DNV GL
DNV GL © 2013
Ghana
15
 Population – 24.8 million
 GDP – 38.6 billion USD (2011)
 Electrification is about 72%
 Network losses 27%
 Installed capacity is 2,186 MW at the end of 2010 and consisted of
hydroelectric power (1,180 MW) and thermal power (1,006 MW)
 The power market consists of a regulated and a deregulated part
– The regulated market is made up of all customers who are not bulk
customers of electricity and is subject to regulated prices
– Bulk customers can negotiate power prices directly with power producers
(deregulated)
Sources: Ghana Ministry of Energy and Electricity Company Ghana, 2010 /2011; Public Utilities Regulatory Commission
(PURC)
DNV GL © 2013
Ghana – Calculation of average and required tariffs
16
 ROC of 2.4% means tariffs are currently above the break-even
level
 Tariffs would have to increase by 13% to reach a ROC of 10%
 There is a very high tariff for the small commercial group. This
suggests some degree of cross-subsidy to other consumer groups
 Potential for higher returns through reduction of losses
Source: DNV GL
DNV GL © 2013
Tanzania
17
 Population – 42.7 million
 GDP – 38.6 billion USD (2011)
 Electrification is about 14%
 Network losses 24.3%
 Installed capacity: 887 MW; available capacity: 660 MW in 2010,
consisting of hydroelectric and thermal power
– In 2010, 73% of total power was generated by the four hydropower
stations
– Severe droughts can reduce available generating capacity by 25 to 45%
 260 MW of emergency power generation contracts have been
signed since May 2011
Sources: Tanzanian Ministry of Energy and Minerals and Ministry of Finance and Economic Affairs, 2011; V. Mapoza (Frost
& Sullivan), 2011
DNV GL © 2013
Tanzania – Calculation of average and required tariffs
18
 Current ROC is minus 7.2%
 Overall tariffs would have to increase by 27% to achieve a break-
even situation and by 64% to achieve a ROC of 10%
 Potential for higher returns through Loss reduction
Source: DNV GL
DNV GL © 2013
Senegal
19
 Population – 13.0 million
 GDP – 25.4 billion USD (2011)
 Electrification is about 42%
 Network losses 22%
 Installed capacity: 700 MW in 2010, consisting of hydroelectric
(10%) and thermal power (90%; diesel generators and gas turbines)
 About 375 MW (2 power stations) in new, additional coal-fired
capacity is being commissioned
Sources: CIA World Factbook; IEA ‘World Energy Outlook 2010’; Senelec, 2011; African Development Bank, 2009; the
Korean Times, 2012
DNV GL © 2013
Senegal – Calculation of average and required tariffs
20
 Tariffs are almost sufficient for Senelec to break-even, current
ROC is -0.1%
 Increase of 8.5% would be required to reach a ROC of 10%
 Senegal’s tariff structure seems to be more cost reflective than
others showing a clear reduction in prices for larger customers
 Considerable increase in returns can be reached by reducing
network losses.
Source: DNV GL
DNV GL © 2013
21
Conclusions
DNV GL © 2013
Conclusions – Strong Demand growth and potential
22
Source: DNV GL
DNV GL © 2013
Conclusions – Weak financial performance but large potential
23
 Comparison of average tariff for domestic and industry versus
realized rate of return. The size of the bubble represents the level
of network losses
Source: DNV GL
EU: 0.13 EUR/kWh
Reference
DNV GL © 2013
Conclusions – Possible impact of loss reduction
24
 Tariff increase to achieve 10% ROR
– Scenario 1: Network losses remain the same
– Scenario 2: Network losses reduced to benchmark of 12%
Source: DNV GL
DNV GL © 2013
Conclusions
 The country reviews identified a number of commonalities which
seem to be characteristic for the Sub-Saharan countries in
general:
– Strong growth in electricity demand
– High potential in demand
– Low financial performance
– Very high network losses
 Loss reduction is an important means of achieving sustainability
25
DNV GL © 2013
Recommendations
 A proper balance between tariff policy and losses reduction
strategies is required for achieving a sustainable investment in
electricity networks:
– Tariffs should be set at economic levels but incorporate a
reasonable level of losses
– Utilities should dedicate significant efforts towards the reduction of
losses
– Regulatory policy and incentives will be imperative
26
DNV GL © 2013
SAFER, SMARTER, GREENER
www.dnvgl.com
27
Dr. Viren Ajodhia
Viren.Ajodhia@DNVGL.com
+31648925401
Tariff Structures for Sustainable Electrification in
Africa
Webinar prepared for the European Copper Institute

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Tariff structures for sustainable electrification in Africa

  • 1. DNV GL © 2013 SAFER, SMARTER, GREENERDNV GL © 2013 Tariff Structures for Sustainable Electrification in Africa 1 Webinar prepared for the European Copper Institute Presenter: Dr. Viren Ajodhia
  • 2. DNV GL © 2013 Agenda  Project purpose  Approach  Country case studies – Kenya – Cape Verde – Ghana – Tanzania – Senegal  Conclusions & Recommendations 2
  • 3. DNV GL © 2013 Project purpose 1. Review the tariff structures in representative countries in Africa 2. Assess these tariffs in terms of the long-term financial viability for the electricity sector and their ability to attract capital 3. Offer suggestions regarding how to evolve to a healthier and more attractive tariff structure 3
  • 4. DNV GL © 2013 4 Approach
  • 5. DNV GL © 2013 Approach – Define customer categories  DNV KEMA defined four customer categories based on a review of national load profiles 5 Source: DNV GL
  • 6. DNV GL © 2013 Approach – Focus on Main Tariff Elements  Some tariff elements are based on rather specific criteria and complex pricing schemes, but represent only a minor share of total grid charges  Overview of tariff elements that have been included in or excluded from the analysis: 6 Source: DNV GL
  • 7. DNV GL © 2013 Approach – Tariff Comparisons  Comparisons made at the level of the end-user tariff, due to relatively limited unbundling of the electricity sector in Africa (i.e. between generation, transmission, distribution and supply)  Includes the costs of all government fees such as environmental taxes, et cetera but excludes costs of Value Added Taxes (VAT)  Comparison Basis – All prices converted into EUR per kWh – Average price for each of the four customer groups – Domestic, Small Commercial, Large Commercial, Industrial 7
  • 8. DNV GL © 2013 Approach – Financial Performance  Return on Capital (ROC; pre-tax nominal) used as overall indicator of financial performance  Type of Analysis – Assessment of tariff adjustments for utility to break-even – Assessment of tariff adjustments for utility to get Rate of Return of 10% (assumed as starting point for financial healthy performance) 8
  • 9. DNV GL © 2013 9 Country Case Studies
  • 10. DNV GL © 2013 General 10  Country studies of: – Kenya – Cape Verde – Ghana – Tanzania – Senegal
  • 11. DNV GL © 2013 Kenya 11  Population – 41 million  GDP – 32 billion USD (2010)  16-18% of the Kenyan population has access to electricity  Network losses is around 19%  energy demand forecast: from 7.4 TWh in 2009 to 92 TWh in 2030. This corresponds to an annual increase of 12.8%  Power generation capacity largely dependent upon hydropower; Highly sensitive to weather conditions  Tariffs are set in a relative independent manner with automatic adjustments for fuel, inflation, and exchange rates Sources: CIA World Factbook and LCPDP by Energy Regulatory Commission, March 2010 Source: DNV GL
  • 12. DNV GL © 2013 Kenya – Calculation of average and required tariffs 12 Source: http://www.kplc.co.ke  Kenya Power achieves relatively healthy results with current tariffs generating ROC of 8.5% in 2010/2011  If a ROC of 10% were to be reached, tariffs would have to increase with 1.8%  Potential for higher returns through reduction of losses Source: DNV GL
  • 13. DNV GL © 2013 Cape Verde 13  Population – 516,000  GDP – 1.65 billion USD (2010)  Electrification in rural areas over 95%  Network losses 26%  Installed capacity is approximately 116 MW, including 25 MW of wind power and 7.5 MW of solar power. The remaining share is generated by diesel power stations spread across the islands  Dispersed islands and their inherently small power stations have resulted in high electricity costs  No ‘Industrial consumption category’ according to DNV GL grouping, due to lack of HV grid Sources: CIA World Factbook and World Bank, 2011
  • 14. DNV GL © 2013 Cape Verde – Calculation of average and required tariffs 14  ROC of minus 10.5% means the financial prospects of Electra are precarious  For a break-even result, tariffs would have to be increased by 11.0% and even by 21.6% to achieve a ROC of 10%  Potential for higher returns through reduction of losses Source: DNV GL
  • 15. DNV GL © 2013 Ghana 15  Population – 24.8 million  GDP – 38.6 billion USD (2011)  Electrification is about 72%  Network losses 27%  Installed capacity is 2,186 MW at the end of 2010 and consisted of hydroelectric power (1,180 MW) and thermal power (1,006 MW)  The power market consists of a regulated and a deregulated part – The regulated market is made up of all customers who are not bulk customers of electricity and is subject to regulated prices – Bulk customers can negotiate power prices directly with power producers (deregulated) Sources: Ghana Ministry of Energy and Electricity Company Ghana, 2010 /2011; Public Utilities Regulatory Commission (PURC)
  • 16. DNV GL © 2013 Ghana – Calculation of average and required tariffs 16  ROC of 2.4% means tariffs are currently above the break-even level  Tariffs would have to increase by 13% to reach a ROC of 10%  There is a very high tariff for the small commercial group. This suggests some degree of cross-subsidy to other consumer groups  Potential for higher returns through reduction of losses Source: DNV GL
  • 17. DNV GL © 2013 Tanzania 17  Population – 42.7 million  GDP – 38.6 billion USD (2011)  Electrification is about 14%  Network losses 24.3%  Installed capacity: 887 MW; available capacity: 660 MW in 2010, consisting of hydroelectric and thermal power – In 2010, 73% of total power was generated by the four hydropower stations – Severe droughts can reduce available generating capacity by 25 to 45%  260 MW of emergency power generation contracts have been signed since May 2011 Sources: Tanzanian Ministry of Energy and Minerals and Ministry of Finance and Economic Affairs, 2011; V. Mapoza (Frost & Sullivan), 2011
  • 18. DNV GL © 2013 Tanzania – Calculation of average and required tariffs 18  Current ROC is minus 7.2%  Overall tariffs would have to increase by 27% to achieve a break- even situation and by 64% to achieve a ROC of 10%  Potential for higher returns through Loss reduction Source: DNV GL
  • 19. DNV GL © 2013 Senegal 19  Population – 13.0 million  GDP – 25.4 billion USD (2011)  Electrification is about 42%  Network losses 22%  Installed capacity: 700 MW in 2010, consisting of hydroelectric (10%) and thermal power (90%; diesel generators and gas turbines)  About 375 MW (2 power stations) in new, additional coal-fired capacity is being commissioned Sources: CIA World Factbook; IEA ‘World Energy Outlook 2010’; Senelec, 2011; African Development Bank, 2009; the Korean Times, 2012
  • 20. DNV GL © 2013 Senegal – Calculation of average and required tariffs 20  Tariffs are almost sufficient for Senelec to break-even, current ROC is -0.1%  Increase of 8.5% would be required to reach a ROC of 10%  Senegal’s tariff structure seems to be more cost reflective than others showing a clear reduction in prices for larger customers  Considerable increase in returns can be reached by reducing network losses. Source: DNV GL
  • 21. DNV GL © 2013 21 Conclusions
  • 22. DNV GL © 2013 Conclusions – Strong Demand growth and potential 22 Source: DNV GL
  • 23. DNV GL © 2013 Conclusions – Weak financial performance but large potential 23  Comparison of average tariff for domestic and industry versus realized rate of return. The size of the bubble represents the level of network losses Source: DNV GL EU: 0.13 EUR/kWh Reference
  • 24. DNV GL © 2013 Conclusions – Possible impact of loss reduction 24  Tariff increase to achieve 10% ROR – Scenario 1: Network losses remain the same – Scenario 2: Network losses reduced to benchmark of 12% Source: DNV GL
  • 25. DNV GL © 2013 Conclusions  The country reviews identified a number of commonalities which seem to be characteristic for the Sub-Saharan countries in general: – Strong growth in electricity demand – High potential in demand – Low financial performance – Very high network losses  Loss reduction is an important means of achieving sustainability 25
  • 26. DNV GL © 2013 Recommendations  A proper balance between tariff policy and losses reduction strategies is required for achieving a sustainable investment in electricity networks: – Tariffs should be set at economic levels but incorporate a reasonable level of losses – Utilities should dedicate significant efforts towards the reduction of losses – Regulatory policy and incentives will be imperative 26
  • 27. DNV GL © 2013 SAFER, SMARTER, GREENER www.dnvgl.com 27 Dr. Viren Ajodhia Viren.Ajodhia@DNVGL.com +31648925401 Tariff Structures for Sustainable Electrification in Africa Webinar prepared for the European Copper Institute