For content providers there is not yet an in-
dustry standard approach or suitable EEIO
factor. Therefore, we are using the same ap-
proach as implemented last year. For content
suppliers with good enough Co2 data, the
footprint allocation method has been used.
The average of gCO2e/DKK per supplier has
then been calculated for these suppliers. This
average has been applied to the remaining
content suppliers instead of using EEIO.
Category 3: Fuel and Energy Related
Activities
To calculate these emissions, we use activity
data from scope 1 and location-based scope 2.
Emission factors are taken from DEFRA
(Department for Environment, Food & Rural
Affairs UK Government GHG Emission Con-
version Factors for Company Reporting). Emis-
sion factors for transmission and distribution
(T&D), well-to-tank (WTT) and T&D WTT for
electricity have been calculated using the pub-
lished methodology from DEFRA and electricity
net loss reported by Energinet.
Category 4: Upstream transportation
All transportation is accounted for in this cate-
gory as we source the transportation. We use
actual activity data provided by our transpor-
tation suppliers.
Category 5: Waste
We use supplier specific tonnage for all waste
for TDC Group for which Nuuday accounts for
a certain percentage of waste based on num-
ber of employees. We use emission factors
from DEFRA (Department for Environment,
Food & Rural Affairs UK Government GHG
Emission Conversion Factors for Company Re-
porting) to translate this activity data into
CO2 equivalent emissions.
Category 6: Business travel
Air: Use supplier specific data on km travelled
on short, medium, long-haul, business and
economy, with DEFRA emission factors
Hotel: Use nights spent in each country and
the DEFRA emission factor. Where DEFRA
emission factors have not been available
emission factors from Green View (hotel foot-
prints) have been used.
Rental cars: Use of spent data and assumption
on percentage of spend related to fuel. Fuel
has been assumed to be 50/50 split of petrol
and diesel.
Taxi: Use invoice data and DEFRA emission fac-
tor for taxis.
Public transport: Use invoice data and supplier
specific emission factor for InterCity trains
from DSB (spend/revenue*CO2 footprint of
Danske Statsbaner (DSB).
Sea travel: Use of supplier specific emission
factor from Molslinjen and assumption of
weight related to one ferry crossing of a
Nuuday employee.
spend, kilometres driven has been calculated
followed by emissions using DEFRA emission
factors.
Category 7: Employee commuting
In 2020, we conducted a survey of employees
where we got detailed responses on the pre-
corona commuting habits from 262 Nuuday
employees. Based on this information, we have
modelled the relative distribution in choice of
transportation type for commuting of our
employees in three regions (Sjælland, Fyn and
Jylland) and calculated average transportation
distances of the different transportation
types of our employees per region. We use av-
erage office occupancy rates of the reporting
year from facility management to address
commuting days per week and remote working
days per week. For commuting days, we use
most recent transportation-specific emission
factors from DSB, Movia, Metroselskabet and
DEFRA. For remote working days we use an
emission factor from a Carbon Trust study for
average daily remote-working emissions.
Category 11: Use of Sold Products
This category includes direct emissions from
use of leased customer premise equipment
and equipment sold to customers. Indirect use
emissions from sold and leased products are
not included. We have calculated the lifetime
power consumption for use of most of our
product categories, including modems, WIFI
extenders, Set-Top Boxes, mobile phones, tab-
lets, laptops, business telephones and network-
ing equipment. We have estimated the lifetime
power consumption of the individual product
categories based on the wattage usage of
specific products and taking into account
sleep function where relevant. To calculate
the lifetime of the device, we make type spe-
cific assumptions. Around 2% of our sold and
leased products are excluded due to lack of
data. Around 16% of our sold and leased prod-
ucts are excluded.
From 2023, we have differentiated between
new products and refurbished products in
the lifetime of the products and thus energy
usage. 2022 numbers have been updated ret-
rospectively.
Category 12: End of Life of Sold Products
We calculate the end-of-life emissions of all
sold products, including products excluded in
category 11 due to lack of direct use emissions.
We use average product-specific weights and
assumed end of life treatment. We add 5%
weight to all products to account for packag-
ing and assume 90% paper and cardboard for
closed-loop recycling and 10% plastic for incin-
eration (in weight). For the product we assume
90 % electronic waste for open-loop recycling
and 10% electronic waste for incineration (in
weight). Around 3% of total sold and leased
products are excluded due to lack of data.
Waste
Our suppliers provide our consumption data.
The data is then split, based on the location of
the waste into three categories: TDC Group,
TDC NET and Nuuday. The waste flows that
belong to TDC Group are then assigned to
TDC NET and Nuuday based on the employee
-
flows are assigned
to GRI categories, based on the type of waste
and the final waste route. The detailed guid-
ance for the split of the waste flows is pro-
ally updated.
Customer product refurbishment
and take back
Three numbers are reported for the two cat-
egories:
The number of MBB and customer premises
equipment (CPE) units that were refur-
bished in the reporting year is a tally of all
the CPE/MBB units that were called back
and refurbished for reuse during the re-
porting year. CPE units include routers and
TV set-top boxes that Nuuday deploys to
its customers
The percentage of refurbished of total
CPE/MBB units is the number of all the
CPE/MBB units Nuuday purchased that
were refurbished in 2024 divided by the
total number of CPE/MBB units Nuuday
purchased in 2024, expressed as a percent-
age.
The avoided e-waste is the weight of the
refurbished units in metric tonnes that
were purchased by Nuuday in the reporting
year
Used phones bought back from customers
are phones that Nuuday bought from cus-
tomers and then ships to an external part-
ner. The device is then either recycled or
reused. The basis for the calculation is
reported data from third party (our exter-
nal partner) that mediates the recycle
and reuse.
Non-Environmental Data Reporting
Boundaries
HR data
Our HR data is calculated based on year end,
headcount data, and is taken from internal HR
systems. Other definitions include:
The number/percentage of employees by
gender is the tally/percentage of