the top-ten multi-benefits of monitoring energy …...the top-ten multi-benefits of monitoring...
TRANSCRIPT
The Top-ten multi-benefits
of monitoring energy efficiency
Dr Didier BOSSEBOEUF (EEUMD co-chair, ADEME, France)
Dr Bruno Lapillonne (Enerdata, France)
EEUMD workshop, Buenos Aires, February 2018
10 Benefits of BIEE
indicators
Understanding trends
Market insight
Benchmarking
Target setting
Target monitoring
Policy monitoring
Long-term impact
Dissemination of results
M.B of EE
Organization of
information
1a. Organizing the scattered information (1/3)
Brazil
1a. Organizing the scattered information (2/3)
Mexico
1b. Organizing scattered information (3/3)
0
500 000
1 000 000
1 500 000
2 000 000
2 500 000
3 000 000
3 500 000
1 2 3 4 5 6 7 8 9 10 11 12
Región Verano extremo
0
200 000
400 000
600 000
800 000
1 000 000
1 200 000
1 400 000
1 2 3 4 5 6 7 8 9 10 11 12
Región Tropical
0
200 000
400 000
600 000
800 000
1 000 000
1 200 000
1 400 000
1 600 000
1 800 000
2 000 000
1 2 3 4 5 6 7 8 9 10 11 12
Región templada
32.3%
22.5%3.1%
%SC =%AC+% vent
1c. Organize scattered information (3/3) Interactive internet national BIEE data bases
6
Case of Mexico
2. Energy efficiency markets insights (1/2)
Knowledge of energy markets and energy efficiency equipments market are
useful for utilities, ministries, equipment manufacturers, analysts…
28%
1% 12%
9% 6%
6%
29%
9%
Food
Textile
Paper
Chemicals
Cement
Ceramics
Metals
Others
Refrigerador30%
Iluminación16%
TV12%Cocina
6%
Computador5%
Aspiradora5%
Lavadora4%
Calefacciòn2%
Otros20%
Brazil Chile
2. Energy efficiency markets insights (2/2)
Knowledge of energy markets and energy efficiency equipments market are useful for utilities, ministries, equipment manufacturers, analysts…
Penetration of solar water heaters: Brazil
8
Source: EPE from Brazilian Association on Refrigeration, Air Conditioning, Ventilation and Heating (ABRAVA)
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
2005 2006 2007 2008 2009 2010 2011 2012
Installed m²/1.000 inhabitants % household with SWH
Factors of the energy consumption variation in transport: Mexico (2010-2014)
9
Energy consumption in
transport was almost at
the same level in 2014
as in 2010: energy
savings (-3.7 Mtoe) and
to a lower extent modal
shift to less energy
intensive modes of
transport (-0,6 Mtoe)
balanced the effect of
the growth in traffic in
passengers or goods
(4.5 Mtoe) .
Source: CONUEE, ADEME, AFD project
-5
-4
-3
-2
-1
0
1
2
3
4
5
Mto
e
Consumption variation Activity Technical savings Modal shift Other savings
3. Understanding trends
Cement Specific Consumption in Turkey
(2004)
3,9
23,5
73,4
84,3
93,5
8 3,9
90,0
03,6
14,2
34,1
13,5
7 3,8
4 4,3
53,8
83,9
24,0
30,0
03,8
94,4
84,3
43,9
0 4,2
23,7
84,5
94,0
13,5
83,6
60,0
03,8
6 4,3
03,9
20,0
03,6
63,7
80,0
03,4
83,5
33,6
60,0
0
0,00
6,00
Ç1
Ç2
Ç3
Ç4
Ç5
Ç6
Ç7
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Ç9
Ç10
Ç11
Ç12
Ç13
Ç14
Ç15
Ç16
Ç17
Ç18
Ç19
Ç20
Ç21
Ç22
Ç23
Ç24
Ç25
Ç26
Ç27
Ç28
Ç29
Ç30
Ç31
Ç32
Ç33
Ç34
Ç35
Ç36
Ç37
Ç38
Ç39
GJ
/to
n c
em
en
t
3,83
4a. National Benchmarking (1/3) Usefull for policy design
4a. International Benchmarking (2/3) Useful for E.E. potential assessement
Russia
Argentina Brazil
India
China
Australia
Japan France
Germany
Canada
UK
G20
South Korea
Indonesia USA Mexico
Italy Turkey
EU
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
toe/
t
% electric steel orange line: world best practice
Average energy consumption per ton of steel (2013)
Source: WEC
Comparison of specific consumption for steel should be made at similar
process mix as non electric steel is roughly 3 times more energy intensive
than the non electric process.
4b. Benchmarking LAC’s The BIEE comparison tool (2/3)
5. National or sectoral targets monitoring
Plan Nacional de EE (Uruguay)
Energy savings (NEEAP, France)
5%
0
10
20
30
40
50
60
70
80
90
100
2010 2011 2012 2013 2014 2015 2016 2030
Final energy intensity (EEDP, Thailand)
6: Monitoring the NEAAP through indicators: acse of Mexico (3/3)
14
7. Long term impact assessment of the energy efficiency potential: Mexico
15
203.6
- 18.5
+ 0 - 6.3- 1.7
- 0.9
- 31.4
144.8
0
50
100
150
200
250
Baseline Manufacturing Const./mining Household Services Agriculture Transport Efficiency
Mto
e
-29%
2050
159.9
- 7.7
+ 0 - 1.9
- 0.8
- 0.4
- 11.8
137.3
0
20
40
60
80
100
120
140
160
180
Baseline Manufacturing Const./mining Household Services Agriculture Transport Efficiency
Mto
e
-14%
2030
8. Assess the contribution of EE in NDC’s
0
10
20
30
40
50
60
70
80
2010 2015 2020 2025 2030
MtC
O2
Baseline scenario INDC scenario Contribution of EE
NDC target
-38%
EE
contribution
-21%
Case of Tunisia
Source: based on an on going UNDP study (draft)
9a. Disseminate the results: BIEE Data mapper
9b. BIEE regional report
9c. BIEE national reports
10: Assessing the Multi-benefits of EE (1/3)
• Impact of Energy efficiency on: – GDP
– Job assessment
– Trade balance
– Public deficit Carbon and energy efficiency prices
– Energy bill
– Households expenditures
10: Assessing the Multi-benefits of EE (2/3)
Energy transition is good for economic growth Impact on GDP of the 3 energy and ecological scenarii
(France Shared vision 2050)
10 : Assessing the Multi-benefits of energy efficiency Energy transition is good for job creation
Impact on employment of the 3 energy and ecological scenarii (France Shared vision 2050)
Conclusions
• The BIEE program has already provided inputs about the 10 benefits of energy efficiency indicators.
• The 2018 BIEE program will allow to enhance the results already achieved through: – Exchange of information on good practices (regional meetings, dialogo)
– Capacity building (regional meetings, on job assistance)
– Tools updating (energy indicator data base, data mapper, comparison tool)
– Dissemination (Regional and national reports and workshops)
• New developments in BIEE (2018), in particular on the link between indicators and bottom –up ex-post (bottom-up) policies evaluations
• BIEE can document the link between indicators and forecasting