Sustainable Development Goal 7: Ensuring Universal Access to Modern Energy

 
Alex Blackburn
UNSD
 
10
th
 Oslo Group Meeting
10-13
 Ma
y 2016
Aguascalientes, Mexico
 
http://unstats.un.org/unsd/energy
 
Current work of UNSD
 
Making publications IRES-compliant
SDGs:
International process
The energy goal
Technical cooperation
Biomass review
 
IRES-compliant books
 
Old energy Yearbook used “consumption” for something similar to
Total Energy Supply, and “commercial energy” which is no longer
distinguished in IRES. (Etc.)
The book has now been updated to agree completely  with  IRES
terminology
Energy Balances and Electricity Profiles (previously the same
publication) split and revised, now IRES-compliant too
 
 
 
SDGs: Historical Context
 
As a follow-on to the Millennium Development Goals
(which spanned 2000-2015 and did not include
energy), the post-2015 development agenda was
negotiated and agreed by the UN General Assembly in
2015
Statistics is at the forefront
 
 
 
 
Measuring the SDGs
 
At the 46
th
 session, the Statistical Commission
established the Inter-Agency Expert Group on the
Sustainable Development Goals (IAEG-SDGs)
The group comprises member states, with
international and regional organisations as observers
(national ownership is key)
Its mandate is to develop an indicator framework to
measure the 17 goals and 169 targets
Indicators for each target have now been proposed and
classified into three tiers, relating to status of
methodology and data collection
 
SDG7 and its Targets
 
Sustainable Development Goal 7: Ensure access to
affordable, reliable, sustainable and modern energy for all
Broken down into three main targets (plus two additional targets
relating to means of implementation)
Target 7.1: By 2030, ensure universal access to affordable, reliable
and modern energy services
Target 7.2: By 2030, increase substantially the share of renewable
energy in the global energy mix
Target 7.3: By 2030, double the rate of improvement in energy
efficiency
Unlike some other goals, the targets for Energy are (reasonably)
clear to measure, established methodology exists and indicators
are already available (thus  all tier I)
 
SDG7: Process for indicators
 
For SDG 7, inputs have been coordinated by leading
agencies and umbrella groups on energy statistics, such
as:
UNSD, UN-Energy,
 SE4all, Worldbank
Some representatives also attended as observers at the
IAEG meetings to present the inputs
 
 
 
 
SDG7: Process for indicators
 
Inputs provided so far:
Proposals for indicators that have agreed methodology
and existing data collections
Arguments against other proposed indicators that did
not
Metadata for energy indicators
Currently still being discussed by
 the IAEG – with
inputs provided by the energy agencies:
Finalization of metadata
Organization of data collection
 process at world-wide
level and i
dentification of lead agencies
Indicators for means of implementation (7.a and 7.b)
are still under
 review
(Current proposals are out of scope of actual energy
statistics and are Tier III)
 
 
 
 
SDG 7 indicators
 
7.1.1: % of population with electricity access
7.1.2 % of population with primary reliance
on clean fuels and technology
7.2.1: renewable energy share in total final
energy consumption (%)
7.3.1: energy intensity measured in terms of
primary energy and GDP
 
World Bank
 
WHO
 
IEA & UNSD
energy balances
 
 
The SE4all Global Tracking
Framework brings data
together from different
sources
 
SDGs: IAEG work plan
 
Sub-groups set up on SDMX, Geospatial information,
interlinkages between goals
The IAEG-SDGs will develop a plan to review the
indicator framework to present to the next UNSC.
The data flows from national to international level are
still to be determined, as are baseline years
Tier III indicator proposals to be made by July and
finalised by September
Data disaggregation (by income, sex, urban vs rural
etc.) is seen as key to reflect the “no-one left behind”
approach. Is this relevant/possible for energy?
 
SDG7: UNSD technical cooperation
 
Two regional workshops in 2015 organised by UN DESA’s
Division for Sustainable Development, in Panama and
Korea
Title: “Mainstreaming energy SDGs, targets and indicators
into statistical programmes of countries”
A great way to promote IRES as a practical tool, highlights
the benefits of harmonisation
Allowed countries to see how others are integrating the
SDG targets into their statistics systems
A third workshop for African countries is planned for June;
China workshop in 2 weeks will cover similar topics
 
SDGs, Green Economy
 
With so many SDG indicators and just a few related to
energy, UNSD launched a project on the Green Economy
that includes energy as one of its priorities:
 
http://unstats.un.org/unsd/greeneconomy/
Goal of the project is to strengthen national statistical
systems in developing countries
to enable them to effectively produce statistical indicators on
green economy and green growth in the context of
sustainable development.
 
12
 
Green economy energy indicators
 
The green economy project focuses on indicators more purely derived from
energy statistics.
In this respect, they align with the SDG ones while being a bit more detailed.
 
13
 
Green Economy Conclusion
 
Countries must identify policy priorities and goals, then
strengthen their national statistical systems in order to
provide relevant indicators
Energy GEIs will not be enough for national purposes,
even if they are more detailed than SDG7
Countries are thus encouraged to complement these
indicators with those relevant to their circumstances
 
14
 
Biomass Review
 
Primary Solid Biofuels are 7.9% of Global TES (2013),
but 48% of African TES, and as high as 90%+ in some
countries
Fuelwood is the majority of this, around 63%
But there are very big differences between IEA, UNSD
and FAO numbers
 
World fuelwood production
2000-2013
 
Data collected
 
 
Units of measurement
 
UNSD
 data on 
fuelwood
 are collected in thousand cubic
metres
 
FAO
 data on 
wood fuel, chips and particles and wood
residues
 are collected in cubic metres. Data on 
wood pellets
and other agglomerates 
are collected in metric tons. Data
are collected separately for each product.
 
IEA
 data on 
fuelwood
 are collected in TJ (as a memo item,
part of 
primary solid biofuels
)
 
For the purposes of this comparison the NCV used to convert data into
terajoules is 
9.135 TJ/1000 cubic metre.
 
Fuelwood production, 2013
Major countries
 
Petajoules
 
Why the differences?
 
Some theories:
Use of a standard NCV across countries and products, could
be (very) wrong?
Scope of the data collection, possible exclusion/inclusion of
products used/not used for energy
Post-consumer recovered wood is explicitly excluded from
the FAO statistics
Estimation methods: 82% of FAO fuelwood production is
from modelled data (official data 15%, unofficial sources
3%). IEA data can be estimated/modelled too.
Which estimates are less wrong?
 
 
 
THANKS
 
http://unstats.un.org/unsd/energy/default.htm
http://unstats.un.org/sdgs/
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Sustainable Development Goal 7 focuses on ensuring access to affordable, reliable, sustainable, and modern energy for all by 2030. The goal is broken down into three main targets, with clear indicators and established methodologies for measurement. Coordinated efforts by leading agencies and groups are in place to track progress towards achieving this goal.

  • Sustainable Development
  • Energy Access
  • SDG 7
  • Renewable Energy
  • Global Goals

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  1. Alex Blackburn UNSD 10th Oslo Group Meeting 10-13 May 2016 Aguascalientes, Mexico http://unstats.un.org/unsd/energy

  2. Current work of UNSD Making publications IRES-compliant SDGs: International process The energy goal Technical cooperation Biomass review

  3. IRES-compliant books Old energy Yearbook used consumption for something similar to Total Energy Supply, and commercial energy which is no longer distinguished in IRES. (Etc.) The book has now been updated to agree completely with IRES terminology Energy Balances and Electricity Profiles (previously the same publication) split and revised, now IRES-compliant too

  4. SDGs: Historical Context As a follow-on to the Millennium Development Goals (which spanned 2000-2015 and did not include energy), the post-2015 development agenda was negotiated and agreed by the UN General Assembly in 2015 Statistics is at the forefront

  5. Measuring the SDGs At the 46th session, the Statistical Commission established the Inter-Agency Expert Group on the Sustainable Development Goals (IAEG-SDGs) The group comprises member states, with international and regional organisations as observers (national ownership is key) Its mandate is to develop an indicator framework to measure the 17 goals and 169 targets Indicators for each target have now been proposed and classified into three tiers, relating to status of methodology and data collection

  6. SDG7 and its Targets Sustainable Development Goal 7: Ensure access to affordable, reliable, sustainable and modern energy for all Broken down into three main targets (plus two additional targets relating to means of implementation) Target 7.1: By 2030, ensure universal access to affordable, reliable and modern energy services Target 7.2: By 2030, increase substantially the share of renewable energy in the global energy mix Target 7.3: By 2030, double the rate of improvement in energy efficiency Unlike some other goals, the targets for Energy are (reasonably) clear to measure, established methodology exists and indicators are already available (thus all tier I)

  7. SDG7: Process for indicators For SDG 7, inputs have been coordinated by leading agencies and umbrella groups on energy statistics, such as: UNSD, UN-Energy, SE4all, Worldbank Some representatives also attended as observers at the IAEG meetings to present the inputs

  8. SDG7: Process for indicators Inputs provided so far: Proposals for indicators that have agreed methodology and existing data collections Arguments against other proposed indicators that did not Metadata for energy indicators Currently still being discussed by the IAEG with inputs provided by the energy agencies: Finalization of metadata Organization of data collection process at world-wide level and identification of lead agencies Indicators for means of implementation (7.a and 7.b) are still under review (Current proposals are out of scope of actual energy statistics and are Tier III)

  9. SDG 7 indicators 7.1.1: % of population with electricity access 7.1.2 % of population with primary reliance on clean fuels and technology 7.2.1: renewable energy share in total final energy consumption (%) 7.3.1: energy intensity measured in terms of primary energy and GDP World Bank WHO IEA & UNSD energy balances The SE4all Global Tracking Framework brings data together from different sources

  10. SDGs: IAEG work plan Sub-groups set up on SDMX, Geospatial information, interlinkages between goals The IAEG-SDGs will develop a plan to review the indicator framework to present to the next UNSC. The data flows from national to international level are still to be determined, as are baseline years Tier III indicator proposals to be made by July and finalised by September Data disaggregation (by income, sex, urban vs rural etc.) is seen as key to reflect the no-one left behind approach. Is this relevant/possible for energy?

  11. SDG7: UNSD technical cooperation Two regional workshops in 2015 organised by UN DESA s Division for Sustainable Development, in Panama and Korea Title: Mainstreaming energy SDGs, targets and indicators into statistical programmes of countries A great way to promote IRES as a practical tool, highlights the benefits of harmonisation Allowed countries to see how others are integrating the SDG targets into their statistics systems A third workshop for African countries is planned for June; China workshop in 2 weeks will cover similar topics

  12. SDGs, Green Economy With so many SDG indicators and just a few related to energy, UNSD launched a project on the Green Economy that includes energy as one of its priorities: http://unstats.un.org/unsd/greeneconomy/ Goal of the project is to strengthen national statistical systems in developing countries to enable them to effectively produce statistical indicators on green economy and green growth in the context of sustainable development. 12

  13. Green economy energy indicators The green economy project focuses on indicators more purely derived from energy statistics. In this respect, they align with the SDG ones while being a bit more detailed. Energy 2.2 Core set 2.2.1 Energy productivity [US$ per ktoe] No 2.2.2 Energy consumption per capita [total or final] Yes 2.2.3Energy intensity by sector [manufacturing, transport, households, services] No 2.2.4 Renewable energy supply [% total energy supply ,TES] Yes 2.2.5 Renewable electricity [% total electricity generation] No 2.2.6 Fuelwood, production [thousand cubic metres] No 2.2.7 Proportion of bioenergy in total renewable energy production No 13

  14. Green Economy Conclusion Countries must identify policy priorities and goals, then strengthen their national statistical systems in order to provide relevant indicators Energy GEIs will not be enough for national purposes, even if they are more detailed than SDG7 Countries are thus encouraged to complement these indicators with those relevant to their circumstances 14

  15. Biomass Review Primary Solid Biofuels are 7.9% of Global TES (2013), but 48% of African TES, and as high as 90%+ in some countries Fuelwood is the majority of this, around 63% But there are very big differences between IEA, UNSD and FAO numbers

  16. World fuelwood production 2000-2013 35,000 68% 33,000 66% 31,000 64% 29,000 FAO (1) / IEA % ratio 62% 27,000 Perajoules 60% 25,000 58% 23,000 56% 21,000 54% 19,000 52% 17,000 15,000 50% 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 IEA FAO (1) wood fuel only UNSD FAO (2) all categories FAO (1) / IEA (%)

  17. Data collected Definitions (FAO) FAO IEA/UNSD Products Coniferous and non-coniferous fuelwood: roundwood that will be used as fuel for purposes Wood Fuel (C and NC) Yes such as cooking, heating or power production Wood that has been reduced to small pieces and is suitable for pulping, for particle board and/or fibreboard production, for use as a fuel, or for other purposes. Other wood processing co-products. It includes wood waste and scrap not useable as timber and wood residues that will be used for production of pellets and other agglomerated products Agglomerates produced compression or by the addition of a binder in a proportion not exceeding 3% by weight. Such pellets are cylindrical, with a diameter not exceeding 25 mm and a length not exceeding 100 mm. Agglomerates other than wood pellets, for example briquettes or logs. It comprises any waste wood fibre after at least one life cycle. It comprises wood from construction, renovation and demolition, but also packaging as well as old furniture Chips and Particles Yes Yes Wood Residues Yes (only if used as a either directly by source of energy) Wood Pellets Yes Other Agglomerates Recovered post- consumer wood Yes No

  18. Units of measurement UNSD data on fuelwood are collected in thousand cubic metres FAO data on wood fuel, chips and particles and wood residues are collected in cubic metres. Data on wood pellets and other agglomerates are collected in metric tons. Data are collected separately for each product. IEA data on fuelwood are collected in TJ (as a memo item, part of primary solid biofuels) For the purposes of this comparison the NCV used to convert data into terajoules is 9.135 TJ/1000 cubic metre.

  19. Fuelwood production, 2013 Major countries 4,500 4,000 3,500 3,000 Petajoules 2,500 2,000 1,500 1,000 500 0 India China Nigeria United States Indonesia Ethiopia Brazil Dem. Rep. Congo Pakistan Un. Rep. Tanzania IEA FAO - Wood Fuel FAO - Wood Fuel, Chips and Particles, Wood Residues, Wood Pellets and Other Agglomerates FAO - Wood Fuel, Chips and Particles, Wood Residues, Wood Pellets, Other Agglomerates and Recovered Post-Consumer Wood (from JWEE)

  20. Why the differences? Some theories: Use of a standard NCV across countries and products, could be (very) wrong? Scope of the data collection, possible exclusion/inclusion of products used/not used for energy Post-consumer recovered wood is explicitly excluded from the FAO statistics Estimation methods: 82% of FAO fuelwood production is from modelled data (official data 15%, unofficial sources 3%). IEA data can be estimated/modelled too. Which estimates are less wrong?

  21. THANKS http://unstats.un.org/unsd/energy/default.htm http://unstats.un.org/sdgs/

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