2017 Results - European Court of Auditors · 2018. 12. 5. · Carbon Footprint Report. 2017...
Transcript of 2017 Results - European Court of Auditors · 2018. 12. 5. · Carbon Footprint Report. 2017...
Carbon Footprint Report
2017 Results
Calculation of the European Court of Auditors’ carbon footprint using Bilan Carbone® methodology
This report has been prepared by EcoAct on behalf of the European Court of Auditors (ECA) using data provided by ECA.
EcoAct France
35 rue de Miromesnil75008 Paris(+33) 1 83 64 08 [email protected]
Luca LO [email protected]+ 33 (0)1 84 19 51 24
Valerie Morgan, Senior Consultantvalé[email protected]: + 33 1 83 64 12 56
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Results per scope
Recommendations
Overall results
Overview of the Bilan Carbone® method
Context of the study
AGENDA
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In 2013, the ECA launched the eco-management and audit scheme, or EMASproject, and adopted its environmental policywith a view to continuously improving itsenvironmental performance and introducingmeasures to prevent pollution and reducecarbon dioxide emissions.
In order to design measures to reduce itsgreenhouse gas (GHG) emissions, the Court firstexamined its GHG emissions in 2014, 2015 and2016 using the Bilan Carbone® methodology.
This initial carbon footprint helped the ECAidentify its main emission sources andappropriate reduction measures.
The ECA is committed to monitoring andreporting these emissions each year to track itsprogress in reducing GHG emissions.
Context of the study
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Results per scope
Recommendations
Overall results
Overview of the Bilan Carbone® method
Context of the study
AGENDA
2 Overview of the Bilan Carbone® method
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The method considers the following gases:
Kyoto Protocol gases: CO2, CH4, N2O, SF6 hydrofluorocarbons (CnHmFp), perfluorocarbons (CnF2n+2), NF3
Other non-Kyoto Protocol gases (CFCs)
Water vapour emitted by planes at the stratospheric level
Since directly measuring GHG emissions is not feasible, the Bilan Carbone® method estimates GHG emissions by multiplying data on an organisation’sactivity by an emission factor (EF).
Data(unit)
Emission factors
(tCO2e/unit)
GHG emissions
(tCO2e)
The Bilan Carbone® method was developed in 2004 by the French Environment and Energy Management Agency, ADEME, to quantify organisations’ GHG emissions.
It is promoted by theAssociation BilanCarbone (ABC).
2 Overview of the Bilan Carbone® method
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Bilan Carbone®: a decision-making tool
Collect activity data
Visualise and analyse the results
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Apply the emission factors from the Bilan Carbone® database (version 8)2
2 Overview of the Bilan Carbone® method
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Operational scope of the 2017 Bilan Carbone® method
The ECA’s footprint exercise includes direct and indirect GHG emissions (Bilan Carbone® scopes 1, 2 and 3).
2 Overview of the Bilan Carbone® method
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Temporal and organisational boundaries
Bilan Carbone® approach: operational control approach
Temporal scope: ECA activities in 2017Organisational scope:
• Three buildings in Luxembourg
o K1: 23 419 m2, 309 employees
o K2: 18 618 m2 , 245 employees
o K3: 28 240 m2 , 474 employees
o These buildings include basements, underground car parks, two cafeterias and a canteen, archives and a library, walkways between buildings, among other amenities.
• Activities of ECA officials and other employees
o At the end of 2017, there were 923.75 full-time equivalent employees.
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Results per scope
Recommendations
Overall results
Overview of the Bilan Carbone® method
Context of the study
AGENDA
3 Overall results for 2017
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Energy in-house19%
Non-energy in-house<1%
Purchased goods17%
Transport of people40%
Transport of goods<1%
Waste<1%
Capital goods23%
2017 Bilan Carbone® results
• Total GHG emissions were 10 451 tCO2e.
• The largest sources of emissions for the 2017 Bilan Carbone® were:
o Transport of people (40%)
o Capital goods (23%)
o In-house energy (19%)
o Purchased goods (17%)
• In-house non-energy, waste and transport of goods made up the remaining 1%.
2 014
21
1 797
4 139
5 41
2 434
Energy in-house
Non-energy in-house
Purchasedgoods
Transport ofpeople
Transport ofgoods
Waste Capital goods
tCO
2e
Total uncertainties
858 tCO2e (8%)
10 451 tCO2e
3 Overall results for 2017
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Emission results by building
• Emissions were divided between the buildings according to staff headcount in each building.
• Unsurprisingly, then, since K3 houses the most employees, it has the largest share of emissions.
0
1 000
2 000
3 000
4 000
5 000
Energy inhouse
Non-Energy inhouse
Capital goods Purchasedgoods
Transport ofpeople
Transport ofgoods
Waste
tCO
2e
Emission categories by building
K1 K2 K3
2928.52526.5
4 996.0
K1 K2 K3
tCO
2e
Total GHG emissions by building
Building # of employees Share (%)
K1 309 30%
K2 245 24%
K3 474 46%
Total 1 028 100%
0
500
1 000
1 500
2 000
2 500
3 000
3 500
4 000
4 500
Energy in-house Non-energy in-house
Purchased goods Transport ofpeople
Transport ofgoods
Waste Capital goods
tCO
2e
-7%
-96%
+22%
+4%
-73% -3%
-5%
\\
3 Overall results for 2017
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Bilan Carbone® comparison between 2016 and 2017
2016 2017
tCO2e per FTE 11.6 11.3
FTE 923.70 923.75
Emission sources tCO2e 2016 2017 Variation
2016-2017
In-house energy 2 165.8 2 014.2 -7%
In-house non-energy 507.0 20.8 -96%
Purchased goods 1 467.9 1 797.3 +22%
Transport of people 3 985.0 4 138.6 +4%
Transport of goods 18.5 5.0 -73%
Waste 42.2 40.9 -3%
Capital goods 2 569.9 2 434.3 -5%
Total 10 756 10 451 -3%
Overall, emissions
decreased by 3% between 2016
and 2017
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Results per scope
Recommendations
Overall results
Overview of the Bilan Carbone® method
Context of the study
AGENDA
Results per scope
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Transport of peopleData and assumptions
Emission sources
Use of official cars (owned and leased)
Employee commuting between home and work
Business travel
Visitor travel
Transport of people tCO2e Kilometres Litres*
Business travel 1 064 4 518 858 -
Official cars - business travel 70 269 077 22 313
Employee commuting 1 276 5 706 732 -
Official cars – non-business travel 90 347 510 28 824
Visitor travel 1 639 7 297 834 -
Total 4 139 18 140 011 51 137
*Litres were used for carbon footprint calculation for official car
Business travel26%
Employee commuting
31%Official cars -
business travel2%
Official cars - non business travel
2%
Visitor travel39%
2017 GHG emissions from the transport of people by type of travel (with official cars’ breakdown)
4 139 tCO2e
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Uncertainties572 tCO2e
(14%)
Air76%
Car (ECA and personal)
13%
Train10%
Rented car1%
Bus<1%
Boat<1%
4 787 935kilometres
4 Results per scope
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Transport of peopleBusiness travel
Business travel
• Data provided: o Total kilometres per mode of transport
Air83%
Car (ECA and personal)
14%
Train2%
Rented car1%
Bus<1%
Boat<1%
1 134 tCO2e
Business travel tCO2e kilometres
Air 942 3 642 622
Car (ECA and personal) 161 613 108
Train 19 488 098
Rental car 11 41 254
Bus 0 2 423
Boat 0,4 430
Total 1 134 4 787 935
The most used mode of
transport (in terms of
kilometrestravelled) is the
airplane, followed by the
car, train and then the bus.
The averagedistance travelled
on a mission is 938 kilometres.
4 Results per scope
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Transport of peopleEmployee commuting
Employee commuting
• Data provided:
o The ECA only conducts an employee commuting survey once every 1.5 years.
o For this reason, the 2016 results and assumptions were used (although 2017 data was used for ECA fleet).
o Number of participants: 527
Extrapolated results
Employee commuting tCO2e Kilometres
Car (ECA fleet* and personal) 1 105 4 193 564
Bus 183 1 009 049
Carpooling 57 215 036
Train 18 454 508
Motorbike 3 16 646
Bicycle 0 70 877
On foot 0 94 561
1 366 6 054 242
*2017 information used for ECA fleet
Car (ECA and personal)
69%Bus17%
Carpooling4%
Train7%
Motorbike<1%
Bicycle1%
On foot2%
Total kilometres travelled commuting
4 Results per scope
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Transport of peopleEmployee commuting
27 kilometrestravelled
by employees per day Car (ECA and
personal)81%
Bus14%
Carpooling4% Train
1%
Motorbike<1%
Bicycle<1%
On foot<1%
GHG emissions from employee commuting
6 054 242kilometres
Car: alone or with
members of your family
59%
Bus15%
MIXED: (e.g. bus and train, car and
train etc.)14%
On foot 6%
Bicycle3%
Carpooling as a driver or passenger
2%
Train1%
Number of responses
527responses
1 366tCO2e
GHG emissions from employee commuting
4 Results per scope
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Transport of peopleVisitor travel
Visitor travel
• Data provided: o Number of visitors by country of origin in 2017
120 visits 3440 visitors
• Assumptions regarding mode of transport:
o Short-haul aircraft Europe: AT/BG/CZ/DK/EE/ES/FI/GR/HR/HU/IE/
IT/LT/ LV/MT/PL/PT/RO/SE/SI/SK/UK Albania/Belarus/Bosnia/Kosovo/Macedonia/Montenegro/Serbia/Switzerland/Turkey/Ukraine
o Long-haul aircraft
Brazil/Equatorial Guinea/Guatemala/India/ Kazakhstan/Norway/South Africa/Tajikistan/USA
o Car
BE/LU
o Bus
CZ/DE/NL
o Train
FR
• EcoAct used its internal distance calculator tools to estimate the distances between origin countries and Luxembourg, and multiplied this by two to get the round-trip distance.
13053
725 710
210
100200300400500600700800
Bus Car Long haulaircraft
Short haulaircraft
Train
tCO
2e
Total GHG emissions by mode of transport
4 Results per scope
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Transport of peopleVisitor travel
1 639 tCO2e
Visitortravel tCO2e Kilometres
Bus 130 843 618
Car 53 199 150
Long-haul aircraft 725 3 465 792
Short-haul aircraft 710 2 263 110
Train 21 526 164
Total 1 639 7 297 834
Visitor travel
843 618
199 150
3 465 792
2 263 110
526 164
0500 000
1 000 0001 500 0002 000 0002 500 0003 000 0003 500 0004 000 000
Bus Car Long haulaircraft
Short haulaircraft
Train
Kilo
met
res
Total kilometres by mode of transport
4 Results per scope
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Transport of peopleComparison between 2016 and 2017
1 345 1 3891 250
1 134
1 366
1 639
0
200
400
600
800
1 000
1 200
1 400
1 600
1 800
Business travel Employee commuting Visitor travel
tCO
2e
2016-2017 comparison of GHG emissions for transport of people
2016 2017
GHG emissions tCO2e 2016 2017 2016-2017 variation
Total transportation 3 985 4 139 +4%
-16%
+31%
-2%
4 Results per scope
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Capital goodsData and assumptions
Emission sourcesBuildings, car parks, vehicles, IT equipment, office furniture and supplies, machines, tools, building assets and kitchen assets (K3 building)
Buildings and car parks• Data provided: m2 of parking and office space• Depreciation: 40 years
Vehicles• Data provided: model of leased and owned vehicles
across all three buildings• Depreciation: 4 years
IT• Data provided: IT inventory by type of good• Depreciation: 4 years
Building assets• Data provided:
o Building assets Generators, refrigerators, air conditioning units,
etc., in units per building (K1, K2 and K3) Furniture, equipment, machines, tools were
quoted per building in terms of purchase price
• Depreciation: 8 years
4 Results per scope
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Capital goodsResults
Vehicles4%
Building assets18%
IT equipment40%
Buildings38%
GHG emissions from capital goods
2 434 tCO2e
Type of capital good tCO2e
Vehicles 87
Building assets 450
IT equipment 976
Buildings 921
636483
1 315
0
200
400
600
800
1000
1200
1400
K1 K2 K3
tCO
2e
Capital goods GHG emissions per building
Most emissions come from IT equipment (40%).
Buildings (car parks and office space) take second place, accounting for 38%
of capital goods.
Uncertainties384 tCO2e
(16%)
4 Results per scope
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Capital goodsComparison between 2016 and 2017
GHG emissions from capital goods decreased by 5% from
2016 to 2017. This was mainly the result of a reduction in building surfaces
following a complete review of the buildings’ surfaces
conducted in 2017.
1 068969
84
449
921976
87
450
0
200
400
600
800
1 000
1 200
Buildings IT equipment Vehicles Buiding assets
tCO
2e
2016 2017
-16%
+31%
0%
-14%
A complete review of the
buildings’ surfaces was done
in 2017
GHG emissions tCO2e 2016 2017 2016-2017variation
Total capital goods 2 570 2 434 -5%
4 Results per scope
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In-house energy Data and assumptions
Emission sourcesElectricity consumption and losses, heating and fuel use
Electricity consumption and losses• Data provided: 2017 consumption for each
building
o Electricity losses: 8.54%
o The ECA purchases “guarantees of origin”. The BilanCarbone ® method, however, considers the real electricity used from the national grid.
Fuel consumption (by electricity generator)
• Data provided: litres purchased
Heat consumption• Data provided: 2017 consumption for each
building• Note: In 2017, the Luxembourg heating district
changed its fuel sources, with 54% of biomass then in the heating fuel mix. To adjust for this change, the 2016 emission factor was multiplied by 46% to account for the 0 kgCO2e associated with biomass. Biomass can be given a factor of 0 kgCO2e as indicated in the JRC’s 2017 technical report“Covenant of Mayors for Climate and Energy: Default emission factors for local emission inventories”. 0.0198 kgCO2e/kWh was used in 2017 versus 0.043 in 2016. It should be noted that this emission factor is not in line with the Bilan Carbone ® method and was not recommended by EcoAct, yet it was adopted nonetheless to stay in line with the European Court of Justice for comparability purposes.
2016 2017
kWh litres kWh litres
Electricity purchased 4 488 193 4 353 409
Electricity losses 418 748 371 781
Heating 3 484 670 3 446 490
Fuel 1 150 600
4 Results per scope
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In-house energy Results
• 4% of emissions come from heating (the emission factor used was 0.0198 kgCO2e/kWh in 2017 versus 0.043 in 2016)
• 89% of emissions come from electricity use
• 7% from electricity losses
• <1% from fuel
• The ECA has decreased its energy consumption between 2017 and 2016
1 785
1522 75
0
500
1 000
1 500
2 000
Electricity Electricity losses Fuel Heating
tCO
2e
Total GHG emissions per energy source
Electricity89%
Fuel<1%
Heating4%
Electricity losses7%
Total GHG emissions per energy source
2 014 tCO2e
Uncertainties140 tCO2e
(7%)
K125%
K230%
K345%
Energy-related GHG emissions per building
2 014 tCO2e
4 Results per scope
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In-house energy Results
Summarised raw data and corresponding tCO2e by building
K1 K2 K3 TOTAL
tCO2e units tCO2e units tCO2e units tCO2e units
Electricity (kWh) 438 1 067 684 532 1 298 475 815 1 987 250 1785 4 353 409
Fuel (litres) 0 140 1 265 1 195 2 600
Heating (kWh) 23 1 048 350 21 979 960 31 1 418 180 75 3 446 490
Electricity Losses (kWh) 37 91 180 45 110 890 70 169 711 152 371 781
0%
20%
40%
60%
80%
100%
Electricity Fuel Heating Electricity losses
Relative GHG emissions per building by energy source
K1 K2 K3
45% of emissions from energy consumption come from
K3
4 Results per scope
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In-house energy Comparison between 2016 and 2017
The fall in GHG emissions reflects the ECA’s decreased
energy consumption between 2016 and 2017. The decline from heating comes
mainly from an improvement in the related distribution
emission factor.
165
1 840
157
475
1 785
152
2
Heating Electricity Electricity losses Fuel
tCO
2e
2016 2017
GHG emissions tCO2e 2016 2017 2016-2017 variation
Total energy 2 166 2 014 -7%
-54%
-3%
-3%
-48%
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4 Results per scope In-house non-energyData, assumptions and results
Emission sourcesRefrigerant gases
Refrigerant gases• Data provided: cooling installations refilled with
refrigerant gases (R134a and R407c) throughout 2017. Refills were considered leaks.
• Only K2 and K3 are concerned.
Year Building Leaks tCO2e
2017 K2 6 kg of R134a 8
2017 K3 8 kg of R407C 13
Note: GHG emissions from refrigerant leaks decreased by 96% in 2017 compared with 2016. In 2017, cooling installations were refilled with 6 kg of R134a refrigerant and 8 kg of R407c refrigerant, compared with 507 kg of R134a refrigerant in 2016.
One tonne of R134a and R407c is equivalent to 1300 and 1620 tonnes of carbon
respectively.This has a large impact.
Uncertainties5 tCO2e (22%)
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4 Results per scope Purchased goods and servicesData and assumptions
Emission sources:Paper, water, meals, gifts, goods, services purchased from third parties
Paper • Data provided for the ECA Journal/reports in number
of pages
o Assumption, all documents are printed on double-sided A4 paper
• Data provided for internal printing in number of pages
o Assumption: 80% double sided, 90% A4, 10% A3
o Assumption: 97% recycled paper
• Method: transformed into weight
Water• Data provided: total purchased water used in 2017
Meals• Data provided: number of meals, purchased
quantities of meat (fish, pork, beef, chicken), organic versus non-organico Assumptions: 7% organic meals, 11% vegetarian meals
and the remainder distributed according to proportion of the purchased quantities of meat (22% chicken, 16% beef, 17% pork, 27% fish)
Gifts• Data provided: number and types of gifts purchased
in 2017
• Method: gifts transformed into weight and type of materials
Purchased goods and services• Data provided: purchased goods and services by
category and euros spent
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4 Results per scope Purchased goods and servicesResults
Type 2017 data tCO2eq
Water 12 071 m3 1.6
Gifts units 5.3
Paper 31 382 kg 28.8
Goods (books, clothing, consumables…) 374 796 euros 322.6
Meals 108 837 meals 195.5
Services purchased from third parties 6 739 717 euros 1 243.6
2016 2017
Pages per FTE 11 930 10 433
Kg of paper per FTE 39 34
Kg of CO2e per year 35.8 31.4
*FTE= full-time equivalent, 923.8 in 2017, 923.75 in 2016Paper includes ECA Journal, reports and printed pages
Gifts<1%
Meals11%
Paper2%
Purchased goods18%
Purchased services
69%
Purchased water<1%
Total GHG emissions from purchased goods and services
1 797tCO2e
540429
829
K1 K2 K3
tCO
2e
Total GHG emissions from purchased goods and services per building
Calculated InventoryPaper (kg) 31 382 11 948
tCO2e 29 11
Difference between calculated and inventory numbers
Uncertainties: 491 tCO2e
(27%)
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4 Results per scope Purchased goods and servicesSpotlight on purchased services
Over 60% of purchased services emissions come from:
• miscellaneous services (41%);• repair and installation services (12%);• translation services (8%);• subscription services (7%).
Other services include: legal and accounting, telecommunications, interpretation services, news agency, etc.
Miscellaneous services were attributed an average services emission factor from the Bilan Carbone ® database. These services ranged from renting material, training (language classes, etc), painting, document destruction, etc.
Sum of "Other"32%
Subscription services
7%
Translation services8%
Repair, maintenance and installation services
12%
"Miscellaneous services"
41%
1 244tCO2e
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4 Results per scope Purchased goods and servicesSpotlight on meals
• 51% of the meals served at the ECA contain beef.o Replacing beef with chicken would reduce
a dish’s carbon impact by 76%.
o Replacing a pork dish with a vegetarian dish would half the meal’s carbon impact.
• Organic meals were given the emission factor of an “average meal”, as the determinants of a dish’s emissions are its ingredients (meat, vegetarian) and whether the ingredients were produced locally or not. There is no conclusive evidence that the average organic meal is less emissive, since each dish can only be considered on a plate-by-plate basis.
Type of meal kgCO2e/unit
Vegetarian 0.45Fish 0.80Pork-based 1.01Chicken-based 1.32Organic 2.25Beef-based 5.66
Fish meals12%
Organic meals9%
Typical meals (with beef)
51%
Typical meals (with chicken)
16%
Typical meals (with pork)
9%
Vegetarian meals3%
GHG emissions from meals
195tCO2e
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4 Results per scope Purchased goods and servicesComparison between 2016 and 2017
2 7 33
200 196
1 030
2 5 29
323
195
1 244
Purchased water Gifts Paper Purchased goods Meals Purchasedservices
tCO
2e
2016 2017
GHG emissions tCO2e 2016 2017 2016-2017 variation
Total energy 1 468 1 797 +22%
GHG emissions from purchased goods andservices increased by 22% between 2016 and2017.
GHG emissions from meals decreased slightly,while the number of meals served increasedby 9%. The number of meals served with beefand chicken decreased, whereas fish andpork-based meals rose. Vegetarian mealsincreased by 55%. The changing eating habitsof ECA staff neutralised the effect of theincreased number of meals.
GHG emissions from purchased servicesincreased, due to a 20% increase in moneyspent on services, notably on miscellaneousand subscription services. GHG emissionsfrom purchased goods increased, due to anincrease in money spent on office equipmentand supplies.
+61%
-24% -22% -13%
-<1%
+21%
Hazardous waste51%
Non-hazardous waste41%
Water8%
GHG emissions from waste by type
41 tCO2e
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4 Results per scope WasteData and assumptions
Emission sourcesWaste and water use (sewage)
Waste• Data: waste by type (non-hazardous,
hazardous) and tonnage
o Non-hazardous: food waste, household waste, plastics, paper and cardboard, glass packaging
o Hazardous: mud and sewage water, light and fluorescent tubes, packaging paste with harmful products, scrap metal, batteries and accumulators, electronic waste
• Assumptions: waste treatment largely based on 2016 treatment with slight modifications
Water use (sewage)• Data: based on water consumption, allocated
to buildings on the basis of building occupancy
200 kg of waste per FTE in 2017 versus
209 kg in 2016
Uncertainties12 tCO2e
(29%)
Hazardous waste tonnes tCO2eBatteries and accumulators 0.08 0.010Cable waste 0.08 0.010Extinguishers 0.50 0.063Food fats and oils 54.38 19.686Light and fluorescent tube 0.19 0.024Mud and sewage water with hydrocarburs 8.32 1.065Packaging waste with harmful products 0.13 0.091Scrap metal 0.28 0.009Waste electrical and electronic equipment 0.02 0.003
Non-hazardous waste tonnes tCO2eFood waste 22.57 1.052Glass packaging waste 4 0.132Household and similar waste 36.24 13.191Other waste for demolition 0.06 0.002Paper and cardboard 53.07 2.286Plastics waste (including packaging) 0.95 0.031Various packaging waste 3.74 0.123
Water m3 tCO2e
Water 12 071 3.2
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4 Results per scope WasteResults
1210
19
K1 K2 K3tC
O2e
GHG emissions from waste per building
<0,1 <0,1 0,1
19,7
<0,11,1
0,1 <0,1 <0,11,1
0,1
13,2
<0,1 <0,1 0,12,3
3,2
tCO
2e
Total emissions of waste by category
51% 41% 8%
Hazardous waste Non-hazardous waste Water
Food fats, oilsand household
waste make up 80% of GHG emissions
derived from waste.
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4 Results per scope WasteComparison between 2016 and 2017
21
17
4
21
17
3
0
5
10
15
20
25
Hazardous waste Non-hazardous waste Water
tCO
2e
2016 2017
GHG emissions tCO2e 2016 2017 2016-2017variation
Total 42 41 -3%
GHG emissions from waste decreased by 3%.
GHG emissions from hazardous waste increased by 1%.
GHG emissions from non-hazardous waste decreased by 3%.
GHG emissions from wastewater decreased by 24%.
+1%
-3%
-24%
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4 Results per scope
Average distance driven by each supplier
per year: 2 513 km
Emission sources
Transport from suppliers
• Data provided
o Distance (km), number of delivery days per supplier, average delivery weight and type of vehicle
o 21 suppliers in total
Emission source Total kilometres tCO2eq
Transport of goods 52 767 5 This is equivalent to driving from Luxembourg
to Rome and back.
Transport of goodsData and results
Uncertainties1 tCO2e (20%)
39
4 Results per scope Transport of goodsComparison between 2016 and 2017
18
5
2016 2017
tCO
2e
2016 2017
GHG emissions tCO2e 2016 2017 2016-2017variation
Total 18 5 -73%
In 2017, data on transporting goods was
better documented. As a result, GHG emissions from the transportation of goods
decreased by 73% due to improved reporting.
-73%
5
1
2
3
4 Results per scope
Recommendations
Overall results
Overview of the Bilan Carbone® method
Context of the study
AGENDA
41
5 Recommendations
Today there is an urgent need to act!
If we are to stay well below the 2o threshold, emissions must peak by 2020, and the world economy needs to be carbon neutral by 2050, as stated in the landmark Paris Agreement in 2015.
Carbon neutrality is a term used to refer to organisations’ efforts to offset the residual emissions that they are unable to reduce or are in the process of reducing. Carbon offsets is a mechanism whereby an organisation purchases carbon “credits” from projects proven to mitigate or sequester carbon.
Carbon neutrality
42
5 Recommendations
A first step for the ECA could be to offset the largest sources of emissions –transportation of people (visitor travel, employee commuting and business trips), covering 40% of its emissions. These emissions may be especially difficult to reduce in the short term, given the difficulties airlines face in cutting the carbon impact of travel.
Each year, the ECA could consider increasing its offsets to supplement its reduction efforts.
Carbon neutrality
Energy in-house19%
Non-energy in-house
<1%
Purchased goods17%
Transport of people40%
Transport of goods<1%
Waste<1%
Capital goods23%
2017 Bilan Carbone® results
10 451 tCO2e
EUROPEAN COURT OF AUDITORS12, rue Alcide De Gasperi
1615 LuxembourgLUXEMBOURG
Enquiries: [email protected]
Website: eca.europa.eu