SE4ALL Global Tracking Framework. Preview of Findings ESMAP Consultative Group March 1 st 2013

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1 SE4ALL Global Tracking Framework Preview of Findings ESMAP Consultative Group March 1 st 2013

2 INTRODUCTION THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

3 SE4ALL Objectives for 2030 Energy access Ensure universal access to modern energy services Renewable energy Double the share of renewable energy in the global energy mix Energy efficiency Double the global rate of improvement in energy efficiency

4 A phased and differentiated approach Global tracking Country level tracking Immediate Which indicator is ready to go for global tracking with all data needs (past, present, and future) already fully met? Na. Medium term Which indicator is highly desirable for global tracking, but would require a feasible incremental investment in global energy data systems over the next five years? Which indicator is ideal for tracking, and although too ambitious for global tracking, could be very suitable for country level tracking under SE4ALL?

5 Available data allows coverage of over 180 countries Electrification Cooking Renewable Energy Energy Efficiency Data Sources Global omnibus and national household surveys plus some censuses Household surveys Global omnibus and national household surveys plus some censuses IEA (plus UN) for Energy Balances REN 21, IRENA, BNEF for complementary indicators IEA (plus UN) for Energy Balances WDI for GDP and sectoral value added Country Coverage (% global popn.) 212 (99.8%) 190 (99.8%) 181 (98%) 181 (98%)

6 ENERGY ACCESS THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

7 Methodological challenges immediate resolution Measurement of Access Household survey are the most common source of information on primary cooking fuel and electricity connections Surveys are carried out every 3-4 years A modeling approach has been adopted to allow data estimation for all countries annually Definition of Access For electricity, availability of an electricity connection at home or use of electricity as a primary energy for lighting is considered access For cooking, primary use of various non-solid fuels is considered as access

8 Access rate to modern energy rose driven by increase in rural access rate and growth in South Asia and East Asia regions Global Regional Electricity Access Access rate (% ) Urban Total Rural Access rate (% ) CCA DEV EA LAC NA Oceania SA SEA SSA WA WORLD Non-solid fuel Access Access rate (%) Urban Total Rural Access rate (%) CCA DEV EA LAC NA Oceania SA SEA SSA WA WORLD THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

9 Most of the absolute growth took place in urban areas and in South Asia, East Asia, and South East Asia regions Global Regional Electricity Access Rural Urban Total Population with access in 1990 Incremental access in Population without access in SA EA DEV SSA SEA LAC WA NA CCA Oceania Population with access in 1990 Incremental access in Population without access in Population (million) Population (Million) Non-solid fuel Access Rural Urban Total Population with access in 1990 Incremental access in Population without access in SA EA DEV SSA SEA LAC WA NA CCA Oceania Population with access in 1990 Incremental access in Population without access in Population (million) Population (Million) THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

10 Still, 1.2 billion people live without electricity and 2.8 billion cook with solid fuels Global Electricity Access Non-solid fuel Access THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

11 More than three quarters of global access deficit concentrated in some 20 high impact countries Top 20 access deficit countries Top 20 lowest access rate countries Electricity Access India Nigeria Ethiopia Bangladesh Congo, DR Tanzania Kenya Sudan Uganda Myanmar Mozambique Korea, DR Afghanistan Madagascar Philippines Burkina Faso Yemen Niger Malawi Angola Population (million) 902 Million People without access Kenya Ethiopia Mauritania Congo, DR Madagascar Zambia Lesotho Mozambique Tanzania CAR Burkina Faso Sierra Leone Uganda Niger Rwanda Malawi Burundi Chad Liberia South Sudan Access rate (% ) Million People without access Non-solid fuel Access India China Bangladesh Indonesia Nigeria Pakistan Ethiopia Congo, DR Vietnam Philippines Myanmar Tanzania Sudan Kenya Uganda Afghanistan Nepal Mozambique Korea, DR Ghana THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE Population (million) ,352 Million People without access Timor-Leste Congo, DR Togo Tanzania Mozambique Somalia Burundi Niger CAR Lao PDR Uganda Malawi Guinea Guinea-Bissau Ethiopia Liberia Sierra Leone Rwanda Mali Madagascar Access rate (%) Million People without access

12 Fastest moving countries have succeeded in providing access to 3-4% of their populations annually Annual incremental access and population Annual change in incremental access 25 4% Electricity Access Population (Million) incremental access incremental total population Annual incremental access (%) 3% 2% 1% World annual average= 1.3% 0 0% 4% Non-solid fuel Access Population (Million) incremental access incremental total population Annual incremental access (%) 3% 2% 1% World annual average= 1.1% 0 0% THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

13 Methodological challenges in medium term Measuring Household access to electricity Access to Electricity Supply defined by increasing levels of supply attributes including quantity, duration, evening supply, affordability, legality, and quality Electricity Services defined by the use of number of key electricity services. The use is measured through ownership of appliances, which are categorized by tier following the equivalent tier of electricity supply needed for their adequate operation. Measuring access to modern cooking solutions Technical performance is done firstly by categorizing cookstoves into low, medium or high grade, based on direct observation. Secondly, the manufactured cookstove is assessed based on whether it is certified or not Conformity, convenience and adequacy (CCA) are the three attributes that are included in addition to the technical performance of the cooking solution to obtain an integral measurement of access to cooking.

14 Multi-tier access index can be approximated using data on average residential electricity consumption Indicative Electricity Services Tier-0 Tier-1 Tier-2 Tier-3 Tier-4 Tier-5 - Radio, Cellphone Charging, Task Light General Lighting AND Television AND Fan Tier-2 AND any low-power appliances Tier-3 AND any medium-power appliances Tier-4 AND any high-power appliances Consumption (kwh) per hh per year < ,317 1,317-2,120 >2,120 Index of Access to Electricity Services = (PT x T) with P T = Proportion of households at the T th tier T=Tier number {0,1,2,3,4,5} Average residential electricity consumption per household (1,000 Kwh) - (IEA 2010) Kwh Thousands Index (0-5) Simplified energy access index based on average consumption SA CCA SSA LAC EA NA SEA DEV WA World THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE 0 SSA SA SEA LAC WA CCA EA NA DEV

15 RENEWABLE ENERGY THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

16 Methodological Challenges Challenge Issues Proposed Approach Energy Accounting Method Primary energy accounting under-estimates useful energy produced by renewable sources, multiple methods exist for estimating final energy consumption Measure the share of renewable energy in total final energy consumption terms using direct equivalent method Measuring Sustainability Classifying Biomass Data Gaps Despite progress, no internationally agreed criteria and assessment methodologies for each of the renewable energy technologies Available data repositories do not distinguish between traditional and modern uses of biomass Some aspects of renewable energy not fully captured in data (small distributed grid-connected generation, direct production of heat, waste fuels, heat pumps, etc.) Create a framework for measuring sustainability in the medium term Improve capability to separately track different categories of bioenergy in medium term Develop methods for accounting these categories and including them in data collection efforts / surveys in medium term (link to access)

17 Traditional biomass accounts for over half of total renewable energy used mainly for heating and cooking Global Share of Renewable Energy in TFEC, 2010 Renewable Energy Applications 1% Transport 4% 17% Electricity 21% Hydro accounts for 75% of renewable electricity 82% Heating 75% Biomass accounts for 97% of heating needs Source: IEA

18 Share of renewables in global energy mix hardly increased since 1990 (despite absolute growth) Renewable Energy Consumption (EJ) vs. Share of RE Incremental Growth, EJ % 17.2% RE Share 17.4% 17.0% 18.0% Other RE Hydro Modern Biomass +1.4 % +19 EJ Traditional Biomass Modern Biomass Hydro Biofuels Wind Solar Biogas Geothermal Waste Marine Total: 19 EJ Traditional Biomass Source: IEA Traditional Biomass Modern Biomass Hydro Biofuels Wind Solar Biogas Geothermal Waste Marine Share Change in TFEC, % 0.2% 0.5% 0.6% 0.3% 0.2% 0.2% 0.1% 0.0% 0.0% Total: 1.4 %

19 Non-conventional renewables experienced double digit growth reflecting surge in policy incentives and finance Compound Annual Growth Rate (%) of RE Consumption, % 11.1% 11.4% 16.7% 0.0% 1.2% 1.9% 2.3% 5.1% 6.6% Marine Traditional Biomass Modern Biomass Number of Countries Introducing RE Policies and Targets Hydro Geothermal Waste Biofuels Solar Biogas Wind Investments in Renewable Energy About 25 developing countries have a FITP today But auctions are also becoming a key policy choice Low Income Lower Middle Income Upper Middle Income High Income $bn Rest of World Brazil India China United States Europe FITP Source: IEA, REN 21, BNEF RPS / Auctions

20 Less developed regions show higher (though declining) renewable energy shares and vice versa Regional and Country Share of Renewables in TFEC (%) Region/Country Share of RE in Each Region / Country Europe North America Former Soviet Union Middle East Latin America Africa Asia (excl. China and India) China India World Regional Contribution to the Global RE Share, 2010 L. America 11% Europe 12% FSU 2% N. America 10% India 13% Middle East 0.2% Other Asia 14% Africa 21% China 19%

21 Two thirds of expansion of modern renewable energy during last 20 years concentrated in just five countries Top 20 Countries by RE consumption increase, (PJ) China, PRC United States Brazil Germany India Italy Spain Sweden Thailand France Canada Poland Nigeria Austria Finland United Kingdom Congo, DRC Chile Pakistan Venezuela (4) (1) (0) ,719 2,274 2,804 Waste (500) ,000 1,500 2,000 2,500 3,000 Modern Biomass Biogas Biofuels Hydro Geothermal Solar Wind Source: IEA RE excluding traditional biomass

22 Countries most heavily dependent on renewable energy have reached penetration levels of around one third Source: IEA RE excluding traditional biomass and hydro

23 ENERGY EFFICIENCY THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

24 Methodological challenges Challenge Multi-dimensionality Intensity vs. Efficiency Market Exchange Rate vs. Purchasing Power Parity Primary vs. final energy Volatility Proposed Approach Track global performance on energy intensity complemented by energy intensity of major economic sectors and efficiency of energy industry Move towards better tracking of targets, policies, institutions, investments Track energy intensity for countries and major regions/blocks, where feasible complement with efficiency decomposition to strip out structural effects Track purchasing power parity Track global energy intensity in terms of primary energy demand Track sectoral energy intensity in terms of final energy consumption Track a five year moving average trend

25 Last decade shows slowing rates of improvement in energy intensity (higher when adjusted) CAGR Energy Intensity (PPP) Adjusted CAGR Energy Intensity % -0.99% -1.30% -1.77% -1.21% -1.49% Source: IEA, WDI

26 Service sector contributed the most to energy savings during last 20 years Energy Intensity Trends by Sector Share of Cumulative Savings by Sector 0% MJ/$2005 PPP Industry Agriculture Services 10 Industry 40% -1.4% -1.4% 5 Service 56% Agriculture 4% -3% -2.2% CAGR (left) EI in 1990 (right) EI in 2010 (right) 0 Note: Services include services, transport, and residential Source: IEA, WDI

27 East Asia accounted for the lion s share of energy saved, even as Middle Eastern energy intensity deteriorated Energy Intensity Trends by Region Share of Cumulative Savings by Region, % CAGR (left) EI in 1990 (right) EI in 2010 (right) MJ/$2005 PPP 40 0% -2% -4% 0.8% -0.1% -0.5% -0.5% -1.1% -1.3% -1.3% -1.1% -1.5% -1.7% -2.3% -3.2% NAm EU EE CCA WA EA SEA SA Oceania LAC NAf SSA EA (58%) NAm (17%) EU (10%) EE (6%) SA (4%) CCA (2%) LAC (1%) SSA (1%) Oceania ( <1%) SEA (<1%) Source: IEA, WDI

28 Energy consumption patterns differ by income group Energy Consumption/GDP (PPP) HICs UMICs LMICs LICs Energy Consumption/Capita Source: IEA, WDI Bubble size represents volume of primary energy consumption in 2010

29 Top 20 (2) consumers accounting for 80% (40%) of global energy demand Largest Primary Energy Consumers, 2010 (EJ) Most Energy Intensive Countries, 2010 (MJ/$2005 PPP) China USA Russia India Japan Germany Brazil France Canada South Korea Iran Indonesia UK Mexico Italy Saudi Arabia South Africa Ukraine Spain Australia Liberia Congo, DRC Burundi Trinidad & T. Sierra Leone Turkmenistan Uzbekistan Guinea Mozambique Iceland Togo Ukraine Zambia Uganda Ethiopia Kazakhstan Sao Tome & P. Guyana Bhutan Swaziland Countries with Highest Level of Energy Intensity Among 20 Largest Energy Consumers, 2010 All Sectors Industry Services Agriculture 1 Ukraine Ukraine Iran Canada 2 Russia Russia Ukraine South Africa 3 Saudi Arabia Canada Saudi Arabia Russia 4 South Africa Brazil Indonesia United States 5 China South Africa Russia Brazil Source: IEA, WDI

30 Fast moving countries typically register improvements in the range of 4-8% annually CAGR Energy Intensity, Countries with Lowest Level of Energy Intensity (MJ/$2005 PPP) Bosnia-Herz. Estonia Azerbaijan Armenia Afghanistan East Timor Sao Tome & P. Belarus Georgia China Lithuania Kyrgyzstan Albania Bhutan Laos Eritrea Romania Turkmenistan Moldova Uganda 8.4% 7.9% 7.3% 6.8% 6.3% 5.9% 5.3% 4.9% 4.7% 4.6% 4.5% 4.4% 4.3% 4.2% 4.1% 4.0% 4.0% 3.9% 3.9% 11.9% St. Lucia Botswana Ireland Bahamas Switzerland Malta Grenada Kiribati Panama Albania Colombia Antigua & Barb. Peru Solomon Isl. St. Vincent Afghanistan Vanuatu Dominica Hong Kong Macau Countries with Lowest Level of Energy Intensity Among 20 Largest Energy Consumers, 2010 All Sectors Industry Services Agriculture 1 UK Japan Japan Saudi Arabia 2 Spain Germany UK Indonesia 3 Italy UK Spain India 4 Germany Spain Italy Germany 5 Japan Italy Germany China Source: IEA, WDI

31 Structural and activity effects partially mask extent of energy efficiency efforts among top 20 energy consumers 3% CAGR (left) Intensity in 1990 Intensity in 2010 (right) MJ/$ CAGR for Intensity Components, % -3% -6% -9% % CAGR for Activity, Structure and Intensity Components, % -1% -6% Total Energy Activity component Structure component Intensity component

32 China stands out in terms of greatest improvement seen among top energy consuming nations Energy Intensity in 1990 Energy Intensity in 2010 CAGR % 0% -3% UAE Brazil Saudi Arabia Iran Thailand Venezuela - Japan 10 S. Africa Indonesia Russia Ukraine Germany Canada Kazakhstan UK India Nigeria United States Iraq Uzbekistan Poland China HICs UMICs LMICs Energy Intensity, 1990 CAGR % 0% -3% Brazil UAE Saudi Arabia - Japan 10 S. Africa Indonesia Ukraine Germany Canada Russia Kazakhstan UK India Nigeria United States Uzbekistan Iraq Poland Iran Thailand Venezuela China HICs UMICs LMICs Energy Intensity, % -6% Source: IEA, WDI Bubble size represents volume of primary energy consumption in 2010

33 Through energy intensity improvements China saved about as much energy as it consumed over last 20 years Largest Energy Consumers, Cumulative (EJ) Largest Energy Savers, Cumulative (EJ) USA Europe China Russia Japan India Germany France Canada UK Brazil Korea Italy Ukraine Indonesia Mexico Iran Spain S. Africa S. Arabia Australia ,346 1,269 1,904 China USA Europe India Germany UK Poland Bosnia-Herz. Russia Iraq Canada Belarus Romania Estonia Mexico France Australia Kazakhstan Argentina Nigeria Czech Rep ,320 Source: IEA, WDI

34 SCALE OF CHALLENGE THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

35 SE4ALL starting point in perspective Percentages Universal access to modern energy Electrification Cooking Renewable energy share in global energy mix (%) Rate of improvement of energy intensity CAGR (%) Historic reference Starting point Objective for

36 Large absolute achievements of last 20 years diluted by surging population and energy demand Absolute achievements bn. connected to electricity bn. gained access to primary non-solid fuel use Relative achievements - Electrification increases at 1.3% pa - Non-solid fuel use increases at 1.1% pa - 20 EJ of energy provided through renewable sources - 2,216 EJ of energy saved through reductions in energy intensity - Compound growth rate of renewable energy consumption of 2% pa - Compound growth rate of energy intensity only -1.3% pa Global population grew at 1.3% per year Global primary energy demand grew at 2.0% per year Global GDP grew at 3.2% per year

37 Projections from IEA and IIASA illustrate scale of challenge entailed by SE4ALL objectives Percentage in 2030 Universal access to modern energy Electrification Cooking Renewable energy share in global mix 20 year rate of improvement of energy efficiency IEA SCENARIOS Current Policies New Policies Efficient World PPM (2 0 C) GEA SCENARIOS Baseline Na. Na Six GEA Pathways /37-2.6/ C /37-1.6/-2.9

38 NEXT STEPS THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

39 Launch and dissemination calendar Consultation First round methodological consultation, November 2012 Second round full consultation, February 2013 Previews ESMAP CG, Washington DC, March 1 st SE4ALL EXCOM, Washington DC, March 11 th Energy Thematic Consultation, Oslo, April 9 th SE4ALL Advisory Board, Washington DC, April 19 th Launch Vienna Energy Forum, Vienna, May 28 th -30 th Briefing to EU Development Ministers, Brussels Briefing to UN Ambassadors, New York Other opportunities?

40 Plans for future global tracking Details are still being discussed and funding unclear Individual partners commit to on-going tracking work Electrification: WB/ESMAP via STEAR? Cooking: WHO? Renewable energy: various possibilities? Energy efficiency: IEA and WB/ESMAP? Bi-annual unified report timed around Vienna Energy Forum

41 Global energy data improvement agenda Energy access Recommended targeting of effort over next five years a) Work to improve energy questionnaires for Global Omnibus Surveys b) Pilot country level surveys for multi-tier framework Renewable energy Energy efficiency a) Improve data and definitions for bio-energy and sustainability b) Capture renewable energy in distributed generation c) Capture renewable energy in off-grid (including micro-grids) d) Promote a more harmonized approach to target-setting a) Integrate data systems on energy consumption and associated output measures b) Strengthen country systems and capability to collect data on sectoral intensities (and ideally sub-sectoral process efficiency ) c) Improve data on physical activity drivers (traffic volumes, number of households and floor space, etc. ) d) Improve data on energy efficiency targets, policies and investments

42 ANNEX THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE

43 Definition of renewable energy Energy from natural sources that are replenished at a faster rate than they are consumed, including the following Hydro Bio-energy Geothermal Aero-thermal Solar Wind Ocean

44 Estimation model Mixed model to estimate values for countries with at least one data point: Mixed model includes fixed effects for the time variable and the regional aggregation and it defines hierarchical random effects by regions and country and for time at country level FEATURES OF THE MODEL: Natural cubic spline transformation cantered in 2000, the median date of the surveys data collected, and 5 knots over the entire time period. Data has been converted in logit function A fitted option has been used to predict the fixed portion plus contributions based on predicted random effects in countries with at least one data point. Values in countries without any data point are estimated by using the linear predictor for the fixed portion of the model based on the regional average value.

45 Candidate Multi-tier frameworks Measuring Household access to electricity Supply side: Tiers based on six attributes of electricity supply ATTRIBUTES Tier-0 Tier-1 Tier-2 Tier-3 Tier-4 Tier-5 Peak Available Capacity (Weq) - >1 >20 >200 >2000 >2000 Duration (Hrs) Evening Supply (Hrs) Affordability - - Formality Quality (Voltage) Measuring access to modern cooking solutions Technical Performance: Grades based on type of cookstove, fuel used and certification Low Grade Medium Grade High Grade Attributes Grade-E Grade-D Grade-C Grade-B Grade-A Efficiency Indoor Pollution Overall Pollution Safety Self-made cookstove Uncertified non BLEN cookstove Non-BLEN certified cookstoves BLEN cookstove Service side: Tiers based on regular use of appliances Tier-0 Tier-1 Tier-2 Tier-3 Tier-4 Tier-5 - Task Lighting AND Phone Charging General Lighting AND Television AND Fan THIS PRESENTATION IS CONFIDENTIAL, PLEASE DO NOT CIRCULATE OR CITE Tier-2 AND any low-power appliances Tier-3 AND any mediumpower appliances Tier-4 AND any high-power appliances Index of Access = (P T x T) P T = Proportion of households at the T th tier T = Tier number {0,1,2,3,4,5} Practicality: Tiers based on CCA attributes (conformity, convenience and adequacy) Tier-0 Tier -1 Tier -2 Tier -3 Tier -4 Tier -5 Grade-A w/o CCA w/ CCA Grade-B w/o CCA w/ CCA Grade-C w/o CCA w CCA Grade-D w/o CCA w/ CCA Grade-E w/o CCA w/ CCA

46 Tracking Access to Energy Opt-in countries: The further development of the multi-tier metric can be substantially strengthened by rigorous piloting of questionnaires, certification, and consensus building Global Tracking: a simplified three-tier measurement condensing the six-tiers in the multi-tier candidate proposal is suggested, requiring only marginal improvement in data collection The metric is flexible and allows for country specific targets to be set to adequately account for varying energy challenges among countries. Immediate Tracking No Access No Electricity Access Electricity Connection or Electricity for Lighting Tracking Access to Electricity Medium Term Tracking Global Tracking Country Level Tracking No Access Basic Access Advanced Access Solar Home System or No Electricity Lantern Grid Connection Tier-0 Tier-1 Tier-2 Tier-3 Tier-4 Tier-5 Tracking Access to Cooking Solutions Immediate Tracking Medium Term Tracking Global Tracking Country Level Tracking No Access Cooking with Solid Fuels Access Cooking with Non-Solid Fuels No Access Basic Access Advanced Access Self-made Manufactured BLEN cookstove cookstove cookstove Tier-0 Tier-1 Tier-2 Tier-3 Tier-4 Tier-5

47 Achieving objectives calls for substantial financing as well as major policy commitments Average annual US$ billion Actual for 2010 Additional from WEO Additional from GEA Universal access Electricity Cooking Renewable energy share in global mix 20 year rate of improvement of energy efficiency Total >> >> ,081.6 Both WEO and GEA coincide on need for phasing out fossil fuel subsidies and providing carbon pricing measures in order to meet objectives

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