Oleksandr Galychyn is a Senior Researcher at the Finnish Environment Institute (SYKE) who studies the integration of life cycle inventory and economic input-output data to identify economic sectors responsible for water issues in Ukraine. He also develops stock-and-flow models to predict future fleets of e-scooters and e-bikes in Finland and their material and mineral demand. His research experience includes using input-output analysis to estimate environmental footprints and developing a framework to study urban metabolism using network analysis.

1. About Me
Oleksandr Galychyn is a Senior Researcher at SYKE,
Finland. Oleksandr studies the integration of life cycle
inventory(LCI) and economic input-output data for the
identification of the economic sectors responsible for
water depletion and degradation in Ukraine. He also
works on the development of stock-and-flow models to
predict the future e-scooter and e-bike fleets in Finland,
their use, material, and mineral demand.
oleksandr.galychyn@syke.fi
Helsinki, Finland
Mail
Location

2. Research Experience
• Use of different environmental extensions
(supply-based and use-based) in input-
output analysis to estimate environmental
and carbon footprints by the final product
and by the source sector
• Developed a multi-criteria assessment
framework to study urban metabolism to
be analyzed using ecological network
analysis for the identification of the sector
responsible for the low magnitude of
emergy contribution exchange of other
sectors
PhD student
2018 - 2021
• Downscaling procedure for integrated
assessment model EUCalc (Trade-offs and
Pathways towards Sustainable and Low-
carbon European Societies).
• Downscaled levers (drivers) used for
scenario analysis (ambition levels setting)
associated with Lifestyle, Transport,
Buildings, Manufacturing, Mineral, Water,
Climate, Biodiversity, Air pollution& human
health
• Applied these levers (urban and national)
to the calculation trees of EUCalc
Postdoc researcher
2022
• the integration of life cycle inventory (LCI)
and economic input-output data for the
identification of the main contributing
economic sectors to the environmental
impacts of drinking water and wastewater
in Ukraine
• Development of an integrated assessment
model (IAM) to predict the future fleet size
and the associated mineral, and material
demand per mode
• work on the harmonization of Nordic LCA
databases of building parts and biobased
products
Senior Researcher
2023 - Present
Parthenope University of Naples École polytechnique fédérale de Lausanne Finnish Environment Institute (SYKE)

3. Software Skill
• Using programming languages to estimate ecological prices of goods and services and process efficiencies in terms of embodied
solar energy content, build hybrid-unit and environmentally-extended input-output tables, build ecological network model of the
urban metabolic system, and as input balance equations into integrated assessment model (IAM) for transport and multi-sector
models.
• Using SIMA Pro while working with the water supply and wastewater treatment system of Ukraine, and for comparability of global
warming potential of biobased and building products for Nordic countries
MATLAB Language R KNIME Python SIMA PRO
80% 65% 75% 60% 90%

4. Ecological network model of Vienna’s metabolic system
• Zi and Yi represent inputs from and to the external environment of the metabolic system, respectively.
• ‘Environment’ includes the natural environment within Vienna’s boundary and outside of the region
Sector Sector names
AGR Agriculture, forestry, and fishing
MIN Mining and quarrying
MAN Manufacturing
EC Electricity, gas, water supply, sewerage, waste,
and remediation services
CON Construction
WR Wholesale and retail trade, repair of motor
vehicles
TS Transportation and storage
AC Accommodation and food service activities
INF Information and communication
FIN Financial and insurance activities
RA Real estate activities
OBS Professional, scientific, technical, administrative,
and support service activities
ADS Public administration and defence, compulsory
social security
ED Education
HS Human health and social work activities
ER Arts, entertainment, and recreation, repair of
household goods and other service

5. City&SwissCalc (trade-offs and pathways toward sustainable and low-carbon
European cities and regions)

6. Lifestyle, climate, and technology (context modules) modules asses the
energy demand and provide contextual data to the activity and impact
modules.
Twelve activity modules composed of consumption sectors (agriculture,
transport, building, manufacturing, and CCU) and energy sectors
(electricity production, electricity storage, biomass production, refinery
of oil and gas, and GHG removal technologies assess the production and
consumption of energy, products, materials & resources to compute
emissions by technology
Eleven impact modules which include social impacts (such as
employment, health and safety, energy security, education and working
conditions), resource impacts (such as land use, water, biodiversity,
minerals, and climate), and water-energy nexus module, compute
various types of impacts based on results from activity modules
Finally, three macro modules (economy, transboundary effect and policy
narrative), use results from activity modules and impact modules to
provide results such as fuel prices, GDP, import and export balances, and
policy narratives. A transboundary module assesses the imports and
exports, and a policy narrative module the links between the policies
and scenarios
How model works?

7. Product
Tap water and wastewater market-
Process LCA
Process
Products purhases per economic
sector
Economic sector
Monetary expenditures for
production of 1 unit of each process
Economic
Product
Monetary expenditures for the
production of 1 unit of output per
economic sector
Integrated hybrid LC inventory of Ukraine
• Estimate impacts on water
consumption and
degradation
• Ecological network
analysis is used to build
flow model of LC
inventory of Ukraine and
analyse its functions

8. Stock-and-flow IAM for Finland
•Stock-and-flow model
combines national economy,
transport, and manufacturing
modules to predict changes in
the material and mineral
demand, and GHG emissions
per vehicle type
•Stocks-dynamic variables used
for prediction purposes (box),
while converters (circle)-
drivers (age & gender class,
income, price of fuel changes)
After prediction results, we can
substitute technology and
material (steel by aluminum),
reduce construction and
maintenance costs and increase
the useful life (i.,e., the higher
utilization rate of vehicles and
batteries), substation by mode (
car by e-bike) and see to what
extent the mineral and material
demand and GHG emissions
will decrease

9. Breakdown of value chain for capturing more
value from mineral processing
Lithium minerals extraction
Access to mines
Geographically localised
mining:
Battery-grade basic
chemicals
Production of LIB cathode
material and electrolytes
Battery Cell Recycling
A mismatch between raw
materials consumption and
production of final lithium
products
Lithium carbonate
Lithum hydroxide
Lithium chloride
Highest mineral lossess
occur on this stage
Llithium carbonate is mostly
recovered through hydrometallurgy
process.
Lithium cobalt oxide
Not recycled
Technology development
Recovery of lithium
carbonate
Lithium manganese oxide
Material efficiency
(processing factors)
Reuse of EV batteries for
standalone energy storage
systems (ESS)
This perspective is
simplistic

10. IAM-LCA-IO synergies
Lifestyle
Agriculture
Life Cycle
Inventroy
Economy
Minerals
Manufacturing
The total demand for
paper and packaging
consisting of paper,
plastic, glass, and
aluminum materials is
delivered to the
Manufacturing module
The total food calorie demand of a
country or region ( total calorie
requirements and the number of
calories wasted at the household
level food calorie for 26 WHO
groups delivered to the Agriculture
module
The glass and aluminum pack
production, material
efficiency, material switch, and
technology development
drivers are delivered to the
Mineral module
Material efficiency material switch,
and technology development drivers
are delivered to the Economy module.
Other circular scenarios are
developed separately and imported
to the input-output table
Provides background data on each
material production (Value chain for
lithium-ion battery) to Manufacturing
and mineral extraction and processing
to the Mineral module to uncover the
emission profiles of different
processes to connect with relevant
circular economy strategies in the
Economy module
Initial scenarios settings
for paper and packaging
demand and household
food waste till 2050 are
implemented in
Lifestyle module

11. Food requirements and food waste
• The calories of food waste at the consumer level are directly determined by the multiplication of the
per-capita calories of food wasted set by the corresponding lever with the user-defined population
scenario.
• Then, the calories of WHO food groups are subtracted from the total calories required to satisfy the
biophysical demands of the population to arrive at the remaining calories needed to satisfy the
biophysical demands of the population

12. Industries
Economy module- Circular economy scenarios
• Reuse & remanufacture ( Material switch) Yield loss reduction (material substitution)
• Delayed product replacement (IO) Design improvements (material efficiency)
• Use intensification (Material efficiency) Scrap diversion (IO)
c
Economic sector
Economic
product
Consumers
Economic sector

13. Economy (Manufacturing&Mining)
Drivers and
ambition levels
Material switch
(Substitution development)
Material efficiency Technology share Technology
development
Drivers Percentage of material
replaced by another in
products
Percentage of decrease in
material demand
Percentage of
material produced
with a given
technology
Percentage of
decrease in energy
consumption due to
energy efficiency
measures for each
technology
LIB Products Substitution of lithium by
aluminium, calcium, sodium
in non-LIB products such as
ceramics, glass, polymers and
alloys
Hydrometallurgy: LIBs old
scrap recycling to increase
lithium carbonate
production (basic
chemical)
Reuse potential of
car LIBs through
when the capacity
of battery became
less than 80% for
stationery , energy
storage systems
(ESSs)
Deployment of
Hydrogen based direct
reduction (H2-DR) to
archive 24% of energy
saving in BF-BOF
technology and
Consteel process in
EAF with total scrap
pre-heating by 21% for
use in consumer
electronic
Non-LiB
products
Substitution of lithium by
aluminium, calcium, sodium
in non-LIB products such as
ceramics, glass, polymers and
alloys
Use of 3D printing to
reduce scrap production,
vehicle lightweighting
OECD/IEA , 2019))
Recycled
aluminum
substitute 5% of
the primary
aluminium
production by 2050
24% of energy savings
due Deployment of
oxy-fuel technology in
the production of
recycled aluminum

14. Thank you for your
kind attention!