
Kernel Holding S.A. Annual Report and Accounts for the year ended 30 June 2025 |
56
Sustainability
Corporate
Financial
Environmental information continued
E1-8
Internal carbon pricing
For internal carbon pricing, Kernel uses two
sources of indications, namely (1) the Ukrain-
ian carbon tax and (2) actual and projected
prices of allowances within the EU Emission
Trading Scheme (EU ETS). Projected prices
of EU ETS allowances are estimated in line
with the scenarios of climate impact dynamics
provided by the Network of Central Banks and
Supervisors for Greening the Financial Sys-
tem (NGFS). As of the end of FY2025, the ap-
plied price of carbon was estimated at USD
203.7, which is the projected price of one EU
ETS carbon allowance by 2030 under the
NGFS ‘Nationally Determined Contributions’
(soft) scenario of climate impact dynamics.
Under the NGFS ‘Net Zero 2050’ (hard) sce-
nario of climate impact dynamics, the price of
an allowance is projected to increase up to
USD 283.7 by 2030. The Group applies these
carbon price indications in the annual assess-
ment of climate transitional risks, specifically
to conduct driver analysis of climate change
factors on the Group's EBITDA stress testing,
as well as to estimate the financial impact of
climate-related business opportunities. Re-
sults of such assessments are used in the de-
cision-making regarding risk management
and appropriate response to arising opportu-
nities. The Group’s internal carbon pricing ap-
proach covers 100% of gross Scope 1 and
Scope 2 emissions.
MDR-M
Climate change accounting methodology
Energy consumption and mix
For the calculation of energy consumption, the
Group consolidated data from its business
segments and subsidiaries, primarily including
information from supplier invoices and meter
readings. Total energy consumption for own
operations consists of fuel usage at the as-
sets, fuel consumption in both owned and
leased agriculture machinery and vehicles,
and the use of purchased, self-generated en-
ergy and electricity sold to the grid (including
heating). Self-generated electricity is reported
as “Renewable fuel consumption”, as this is
electricity generated from biomass (sunflower
seed husk). Each business segment and sub-
sidiary in the Group reports energy consump-
tion data by energy type. Categories of con-
sumed fuel include natural gas, diesel, petro-
leum, and LNG.
Scope 1, Scope 2, and Scope 3 greenhouse
gas (GHG) emissions
Kernel accounts for GHG emissions from its
operational activities in Ukraine, adhering to
the IPCC Guidelines for National Greenhouse
Gas Inventories and Greenhouse Gas Proto-
col Guidance.
Scope 1 emissions include direct GHG
emissions associated with the Group's opera-
tions of fossil fuel stationary and mobile com-
bustion, cattle farming, farmland cultivation
(soil carbon stock change), and fertilizer appli-
cations. The Group’s total biogenic GHG
emissions, generated from the combustion of
sunflower seed husk and changes in organic
carbon stocks, are reported separately. Emis-
sions associated with farming operations are
reported in the financial year, when the agri-
cultural products were harvested, using data
on mineral and organic fertilizers applied dur-
ing the growth period in crops.
We continue improving prototype operational
accounting of GHG emissions from farming
operations across key crops (winter wheat,
corn, sunflower, winter rapeseed, and soy-
bean) and individual fields (Kernel’s whole
landbank, comprising approximately 5 thou-
sand fields). The main purpose of such an ap-
proach is to reflect that the landbank is not ho-
mogeneous in terms of soil characteristics, ag-
roclimatic conditions, and, therefore, agricul-
tural technology and application rates, which
in turn are tailored to crop rotation. For that
reason, it’s correct to calculate the carbon
footprint of farming operations (kgCO
2
/t of
yield and kgCO
2
/ha) for each field rather than
on average for the whole landbank. This ap-
proach also enables the demonstration of an-
nual carbon removals (shown as negative val-
ues) resulting from changes in tillage prac-
tices, such as shifting from conventional to re-
duced tillage, sowing cover crops, and man-
aging crop residue. We are working to auto-
mate such accounting by integrating the meth-
odology into existing ERP systems and ensur-
ing traceability of the carbon footprint of each
batch of grain (originating from a particular
field) across the value chain. For these pur-
poses, we seek to ensure minimization of data
uncertainty: calculations of changes in soil
carbon due to tillage are performed using
“measure and model” and “measure and re-
measure” approaches (aligned with the Veri-
fied Carbon Standard methodology, VM0042)
that account for the availability of laboratory
agrochemical data on soil organic carbon.
This approach will enable us to monitor the
field-related carbon footprint of our commodi-
ties (in kgCO
2
e/t of yield) and operations (in
kgCO
2
e/ha) from sowing to harvest. By doing
so, the Group can better evaluate the overall
potential for decarbonizing farming opera-
tions, prioritize geographic locations and in-
tensity of low-carbon practices, and achieve
GHG emissions reductions with greater mon-
etary efficacy.
Scope 2 (location-based) emissions refer to
GHG emissions generated from energy (elec-
tricity and heating) that the Group purchases
from the national grid. The average specific
emission factor for electricity production in
Ukraine is calculated as the ratio of total emis-
sions from electricity production in Ukraine
(source: National Inventory Report to
UNFCCC) to energy production itself (source:
Ministry of Energy and Coal Mining).
Scope 2 (market-based) emissions refer to
GHG emissions from energy (electricity and
heating) consumed, calculated based on
emission factors from specific electricity con-
tracts. Carbon intensity of heating, both loca-
tion and market-based approach, is the same
due to a vertically integrated market and heat-
ing monopoly supply.
Scope 3. To calculate Scope 3 emissions,
Kernel applies the methodology provided by
the GHG Protocol Corporate Value Chain
(Scope 3) Accounting and Reporting Stand-
ard. We use secondary data to calculate 100%
of our Scope 3 emissions across all 15 cate-
gories:
• Purchased goods and services: This cate-
gory includes three material types of pur-
chased products: (1) grains and oilseeds,
(2) agricultural machinery, and (3) fertiliz-
ers. For the purchased grains, the account-
ing approach lies in the application of car-
bon intensity factors of Kernel's own crops
to the volumes of the purchased grains. For
the purchased agricultural machinery, a
spend-based method was used, where
emission factors were calculated based on
the carbon intensity of the net revenue of
machinery producers (material producers
included CNH Industrial, John Deere, MAN,
and Palfinger). For nitrogen fertilizers pur-
chased by Kernel, emissions were calcu-
lated based on nitrogen content and sector-
average emission factors (kg CO2e/kg N).
To calculate this category of emissions for
Avere Commodities SA, the global market
activity emissions factors sourced from
Ecoinvent database were applied for the fol-
lowing commodities: palm oil, palm meal,
rapeseed oil, rapeseed meal, soy oil and
soy meal. For corn, sunflower, wheat, rape-
seed, soybean, sunflower oil, and sunflower
meal Kernel’s operational emission inten-
sity data for respective years were applied.
• Capital goods: Kernel accounted for the
emissions associated with the production of
metal and concrete, used for the construc-
tion of assets. The Group applied material
use emission factors for metal and concrete
from the UK Department of Environment,
Food and Rural Affairs (DEFRA).
• Fuel-and-energy-related activities (not in-
cluded in Scope 1 or 2): To calculate this
category of emissions, Kernel used primary
data on energy consumption and applied
Well-to-tank indicators (Activity A) from
DEFRA; transmission and distribution
losses data for Ukraine (Activity C); as well