1
Dagnija Blumberga
09.03.2017.
Riga Technical university
Institute of Energy Systems and Environment
Forest-based Bioeconomy: research in RTU
22
Bioresource use pyramid
New product. Friendly to environment and climate. Socioeconomically and
economically valid.
New ecologically valid product
New economically valid product
New product
Extraction of energy sources
Combustion
Waste disposal
AD
DE
D V
AL
UE
MA
CR
OE
CO
NO
MIC
DE
VE
LO
PM
EN
T
33
• Scientific literature research
• Surveys resultsInformation collection and handling
• Criteria selection and determination of weights (importance)
• Product selectionInnovative products multi-criteria
analysis
• Potential size of the market
• Innovative product’s priceMarket sales analysis
• Determination of product’s effect on climate and environmentEco-design analysis of three innovative products
• System dynamics model for determination of product’s added value and determination of organizations profit in time
System dynamics model – economic analysis of three innovative products
• Challenges and possibilities
• Questions for further researchRecommendations and conclusions
Methods used in the study
Rīgas Tehniskā universitāte
44
Sources of information
Information given by involved scientific institutions
Scientific publications and studies
Scientific literature
Patent database (Espacenet)
Organizations experience
Statistical databases
Other publically available, trustworthy information
55
Wood resources available for forestry (LSF data)
Unprocessed
wood for export:
– paper wood
1,6 mil. m3;
– woodchips
and firewood
1,4 mil. m3.
6
Multi-criteria analysis
77
Power industry
1. Butanol
2. Biodiesel
3. Bioethanol
4. Bio-oil
Textile industry
5. Ioncell-F
6. Lyocell
7. Viscose
Food production industry
8. Vanillin, lignin, ethanol un cellulose
9. Fish food additive from microorganism
proteins
10. Bird and animal food from pine and
fir needles (SILAVA / BIOLAT)
11. Lignan
Biocomposite materials un building materials
12. Nanocellulose cement
13. Transparent wood
14. Cellulose cotton wool
15. Wood foam thermal insulation
16. ICLT - interlocking cross laminated timber panels
17. Wood fibre composite material floor
18. Glass fibre / wood flour thermoplastic composite
material
19. Wood – plastic composites
20. Dendrolight cell material (MeKA*)
21. Thermal insulation material from needles (RTU
IESE)
Other new products with high added value
22. Nanocrystallic cellulose
23. Suberin-acid salts
24. Suberin as cohesive substance (LSIWC)
25. Lignin polymers
26. Nanocellulose film
27. Activated coal as sorbent (LSIWC)
28. Xylan
29. Starch
30. Furfural (LSIWC)
*Forest and Wood Products Research and Development Institute (MeKA)
Products included in multi-criteria analysis
8
Multi-criteria analysis matrix. An example
Riga Technical university
No.Criteria Product A Product B Product C Product D
x1 x2 x3 x4
1 Production development stage 5 3 5 4
2 Wood resource consumption amounts 4 2 4 4
3 Product market 5 4 5 5
4 Complexity of technological process 3 2 4 5
5 Specific water consumption 2 3 5 3
6 Specific electricity consumption 2 3 1 4
7 Specific thermal energy consumption 2 4 1 2
8Waste and residue amounts from production
2 5 5 3
9By-products, that can be produced
simultaneously from this material flow3 5 2 4
10CO2 emission amounts from production
3 5 1 4
11Product effects on natural environment (air,
water, soil, climate, living organisms)3 4 2 4
12 Product effects on human health 3 4 1 4
13Product compliance to eco-design base
principles4 3 2 5
14Necessary investments to start production
1 2 1 3
99
Results of multi-criteria analysis: TOP 10 products
with highest commercialization potential
ProductMulti-criteria
analysis resultRanking
Biodiesel 0,829 1
Bio-oil 0,813 2
Lyocell (textyle) 0,767 3
Suberin as cohesive substance 0,710 4
ICLT – interlocking cross laminated
timber panels0,701 5
Xylan 0,689 6
Fish food additive from
microorganism proteins 0,650 7
Suberin-acid salts 0,596 8
Transparent wood 0,587 9
Cellulose cotton wool 0,584 10
1010
Products for further commercialization
potential study
IESE recommendations LSF selection
Biodiesel from bio-oil Bio-oil
Lyocell (textile from wood) + fish
food additive from
microorganism proteins
Lyocell (textile from wood)
Suberin as cohesive substance
Xylan
1111
TOP 3 products commercialization potential
further study
Products effects on climate policy goal achievement
Available resources amount for production
Eco-design analysis
Potential market and price study
Economic analysis
12
Product manufacturing technologies
1313
Xylan (xylite) production technologies
▪ Main raw materials:
– woodchips;
– hydrochloric acid;
– ammonium hydroxide;
– water;
– sodium hydroxide.
▪ Biggest effects on
environment:
– electricity;
– use of chemicals.
Birch wood cutting into woodchips (1)
Woodchip drying 2)
Woodchip milling (3)
Dust removal by sifting (4)
Milled woodchip heating in acid (5)
Cooling (6)
Swelling (7)
Sifting (8)
Washing (9)
Heating (10)
Preparation for extraction (11)
«Microwave» extraction (12)
Filtering (13)
Sitting (14)
Centrifuge (15)
Product preparation (16)
Birch wood procurement heat electricity water
1414
Bio-oil production technologies
▪ Main raw materials:
– woodchips.
▪ Biggest effects on
environment:
– electricity;
– heat;
– woodchips.
Chipping (1)
Woodchip drying (2)
Woodchip milling (3)
Pyrolysis (4)
Cyclone (5)
Cooling/condenser (6)
Storage (7)
Wood extraction heat electricity water
Hard fraction
1515
Lyocell production technologies
▪ Main raw materials:
– wood;
– NMMO;
– oxygen;
– ozone.
▪ Biggest effects on environment:
– electricity;
– heat.
Cellulose preparation (1)
Cellulose chemical dissolution (2)
Spinning (3)
Washing (4)
Processing (5)
Drying (6)
Product (7)
Non-coniferous wood extraction heat electricity water
NMMO
16
Eco-design analysis
1717
Eco-design is a
systematic method to
develop goods and
services, that could
improve
sustainability by
decreasing
products effects on
environment in a
whole life cycle.
Eco-design (I)
Products design
Environment
Functionality
Quality
Safety
Price
Suitability for production
Ergonomics
Aesthetics
1818
▪ ECO-it numerically evaluates effects on environment
created by each material and process.
▪ Selected production amount for each products is 1 ton.
▪ To make productions mutually comparable, identical
energy resources and transport were chosen:
– transport (load >32 t), tkm − CO2 eqv. 0,117 kg, mPt 14,0;
– electricity (fossil), kWh − CO2 eqv. 0,594 kg, mPt 59,9;
– heat (firewood), MJ − CO2 eeqv. 0,006 kg, mPt 3,61.
▪ ECO-it materials and process database is limited. For
example, co-generation is not offered.
Selected products effects on environment
modelling with program ECO-it
1919
Results of eco-design analysis
Xylan Bio-oil Lyocell
CO2 eqv./t CO2 eqv./t CO2 eqv./t
Electricity 3,00 0,05 3,10
Heat 0,10 0,05 0,17
Chemicals 0,73 0,00 0,02
Woodchips 0,19 0,04 0,04
Total 4,02 0,14 3,34
▪ Smallest effects on environments are created by bio-oil production.
▪ Electricity consumption dominates analysed products effects on
environment, that can be explained by a fact that it is impossible to
choose co-generation as electricity source.
▪ CO2 eqv. method evaluates water effects as zero, therefore it is
zero for all products independent of consumed water amounts.
20
Economic analysis
2121
System dynamic model blocksBiooil Production
Costs, Revenues, and Profit for Biooil
Electricity Consumption for Biooil production
Finances and Investments for Biooil
Labor requirement and wages for Biooil
Jan 1, 2016 Jan 1, 2021 Jan 1, 2026 Jan 1, 2031
0
20
40
60
80
100
Non-commercial use only!Jan 1, 2016 Jan 1, 2026
0
500,000
1,000,000
1,500,000
Non-commercial use only!
Jan 1, 2016 Jan 1, 2031
39,300
39,600
EUR/yr per yr
Ca
pit
al co
sts
-
Bio
oilr
pro
du
cti
on
-
Co
py 3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2021 Jan 1, 2026 Jan 1, 2031
0
20
40
60
80
100
Non-commercial use only!
Infrastructure and Technology for Biooil production
Heating Consumption for Biooil production
Jan 1, 2016 Jan 1, 20261,610
1,620
1,630
1,640
EUR/yr per yr
an
nu
al p
rofi
t B
ioo
il
- C
op
y 3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2021 Jan 1, 2026 Jan 1, 2031
20,000
40,000
60,000
80,000
t/yr
Capacity in operation Biooil - Copy
Potencials izmantosanai - Copy
Non-commercial use only!
Jan 1, 2016 Jan 1, 2021 Jan 1, 2026 Jan 1, 2031
915
920
925
930
t/yr
Bio
ella
s r
azo
sa
na
- C
op
y
Non-commercial use only!
Jan 1, 2016 Jan 1, 2026
500,000
1,000,000
(EUR/yr)/yr per yr²
Capital costs - increment rate Biooil - Copy 3
Capital costs - discard rate Biooil - Copy 3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2026
30,300
30,400
30,500
30,600
30,700
30,800
(t/yr)/yr
Co
mm
issio
nin
g
rate
Bio
oil -
Co
py 3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2026
91,000
91,500
92,000
92,500
t/yr
Ca
pa
cit
y u
nd
er
co
nstr
ucti
on
Bio
oil
- C
op
y 3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2026
30,300
30,400
30,500
30,600
30,700
30,800
(t/yr)/yr
Ca
pa
cit
y o
rde
r ra
te
Bio
oil -
Co
py 3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2026
30,300
30,400
30,500
30,600
30,700
30,800
(t/yr)/yr
De
sir
ed
ord
er
rate
Bio
oil -
Co
py 3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2031
1,000
1,500
2,000
t/yr
Ievaditais koksnes daudzums - Copy
Bioellas razosana - Copy
Non-commercial use only!Jan 1, 2016 Jan 1, 2026
2.36
2.37
2.38
2.39
2.40
Au
xilia
ry_
16
9 -
Co
py
3
Non-commercial use only!
Jan 1, 2016 Jan 1, 2026
915
920
925
930
t/yr
Bioellas razosana - Copy
Kopejais pardotais apjoms - Copy
Non-commercial use only!
Jan 1, 2016 Jan 1, 2021 Jan 1, 2026 Jan 1, 2031
91.5
92.0
92.5
93.0
(t/yr)/yr
De
co
mm
issio
nin
g
rate
Bio
oil -
Co
py 3
Non-commercial use only!
??
?
#
#
#
#
#
#
#
#
#
#
#
#
Capacity underconstruction Biooil -
Copy 3Capacity order rateBiooil - Copy 3
Commissioning rateBiooil - Copy 3
Capacity in operationBiooil - Copy
Decommissioningrate Biooil - Copy 3
Avg lifetime oftechnology Pyrolysis
reactor - Copy 3
Avg constructiontime Biooil - Copy 3
Electricityrequirement Biooil -
Copy 3Increase inelectricity
requirement Biooil -Copy 3
Commissioning rateBiooil - Copy 3
Electricityrequirement of newtechnology Biooil -
Copy 3
Average electricityconsumption Biooil -
Copy 3
Decrease inelectricity
requirement Biooil -Copy 3
Electricityconsumption rateproduction Biooil -
Copy 3
Electricity consumedfor Biooil production -
Copy 3
Average electricityconsumption Biooil -
Copy 3
Capacity utilizationBiooil - Copy 3
Capacity in operationBiooil - Copy
Required capacityaddition Biooil -
Copy 3
Adjustment forcapacity in
operation Biooil -Copy 3
Capacity inoperation
adjustment timeBiooil - Copy 3
Desired order rateBiooil - Copy 3
Capacity in operationBiooil - Copy
Desired capacityunder construction
Biooil - Copy 3
Adjustment forcapacity under
construction Biooil -Copy 3
Desired capacity inoperation Biooil -
Copy 3
Desired capacity inoperation Biooil -
Copy 3
Specific investmentin technology Biooil
- Copy 3
Investment rate intechnology - Biooil
production - Copy 3
Cummulativeinvestment in
technology Biooil -Copy 3
Discount rate Biooil- Copy 3
Economic lifetimeBiooil - Copy 3
Capital costs -Biooilrproduction - Copy 3
Capital costs -increment rateBiooil - Copy 3
Capital costs -discard rate Biooil -
Copy 3
Capacity order rate Biooil
- Copy 3
Current Efficiency -electricity Biooil
production - Copy 3
Efficiencydevelopment
potential - electricityBiooil - Copy 3
Efficiency researchpotential-electricity
Biooil - Copy 3
Research rate -electricity Biooil -
Copy 3
Development rate-electricity Biooil -
Copy 3
Time to develop-electricity Biooil -
Copy 3
Time to research -electricity Biooil -
Copy 3
Perceived maximumefficiency-electricity
Biooil - Copy 3
Current Efficiency -
electricity Biooil production
- Copy 3
Decommissioning rate
Biooil - Copy 3
ProductCosts birchveneer - Copy 5
CumProductionCostsBiooil - Copy 3
UnitProdCosts Biooil- Copy 3
UnitCapCosts Biooil- Copy 3
Biooil Price - Copy
CumRevenuesFromBiooil - Copy 3
RevenuesFromBiooil - Copy 3
Profit Biooil - Copy 3
Capital costs -Biooilr
production - Copy 3
Commissioning rateBiooil - Copy 3
Decommissioningrate Biooil - Copy 3
Capacity in operationBiooil - Copy
Labor for Biooilproduction - Copy 3
Increase in LaborRequirements Biooil
- Copy 3
Decrease in LaborRequirement Biooil -
Copy 3
Average salary Biooil- Copy 3
Annual wages Biooil- Copy 3
Labor RequirementsBiooil - Copy 3
New Laborrequirement
capacity Biooil -Copy 3
Initial laborrequirement Biooil -
Copy 3 Effect of productionon labor
requirement - Biooil- Copy 3
Step for capacityBiooil - Copy 3
Labor costs Biooil -Copy 3New Capacity for
Biooil - Copy 3
Reference CapacityBiooil - Copy 3
Necessary laborrequirement Biooil -
Copy 3
OtherProdCostsBiooil - Copy 3
Biooil variable costs- Copy 3
Labor costs Biooil -Copy 3
Average electricityconsumption Biooil -
Copy 3
Electricity tariff
intial specific energyconsumption Biooil -
Copy 3
energy costs Biooil -Copy 3
annual profit Biooil -Copy 3
Commissioning rateBiooil - Copy 3
fraction initialinstalled capacity
Biooil - Copy 3
Constant_1 - Copy4
Heating requirementBiooil - Copy 3
Increase in heatrequirement Biooil -
Copy 3
Commissioning rateBiooil - Copy 3
Heatingrequirement of newtechnology Biooil -
Copy 3
Average heatingconsumption Biooil -
Copy 3
Decrease in heatrequirement Biooil -
Copy 3
Heat consumptionrate productionBiooil - Copy 3
Heat consumed forBiooil production -
Copy 3
Average heatingconsumption Biooil -
Copy 3
Capacity utilizationfor Biooil - Copy 3
Capacity in operationBiooil - Copy
Required capacityaddition for Biooil -
Copy 3
Capacity in operationBiooil - Copy
Desired capacity inoperation Biooil -
Copy 3
Decommissioning rate
Biooil - Copy 3
Current Efficiency -heat Biooil production
- Copy 3
Efficiencydevelopment
potential - heat Biooil- Copy 3
Efficiency researchpotential-heat Biooil -
Copy 3
Research rate -heat Biooil - Copy 3
Development rate-heat Biooil - Copy 3
Time to develop-heat Biooil - Copy 3
Time to research -heat Biooil - Copy 3
Perceived maximumefficiency-heat Biooil
- Copy 3
Average heatingconsumption Biooil -
Copy 3
Current Efficiency -heat Biooil production
- Copy 3
heating tariff wood -Copy 4
heating costs forBiooil production -
Copy 3
Rate_3 - Copy 4
Rate_14 - Copy 4
added value perunit Plywood - Copy
4
annual profit perunit Biooil - Copy 3
added valuePlywood - Copy 4
Rate_18 - Copy 4
fraction increaseheating tariff wood
Auxiliary_71 - Copy4 Labor costs Biooil -
Copy 3
annual profit perunit Biooil - Copy 3
UnitCapCosts Biooil- Copy 3
Biooil variable costs- Copy 3
fraction capitalcosts Plywood -
Copy 4
fraction labour costsPlywood - Copy 4
fraction runningcosts Plywood -
Copy 4
fraction profitPlywood - Copy 4
Auxiliary_19 - Copy4Auxiliary_69 - Copy
4
Final product priceincrease
wood costs - Copy4
Auxiliary_110 -Copy 4
Pirmsapstradesiekartas - Copy
Pieejamais koksnesdaudzums - Copy
Ievaditas koksnesmitrums - Copy
wood chips fromproduction process
transfer from solidm3 to loose m3
Transfer from solidm3 to tonne - Copy
Koksne ar mitrumu10% - Copy
Aizvaditais mitrums- Copy
Velamais mitrums -Copy
Pirolizesiekarta - Copy
Bioellas razosana -Copy
Bioogles - CopyPirolizes
gaze - Copy
Bioellas izstradesapjoms - Copy
Bioellas razosanaspotencials - Copy
Capacity in operationBiooil - Copy
Bioellas razosanaspotencials - Copy
Biooglu izstradesapjoms - Copy
SarazotaBioella - Copy
Pardosanas vietejatirgu - Copy
Eksports - Copy
Eksporta dala -Copy
Koksneskrajums - Copy
Iespejamaisapstrades apjoms -
Copy
Bioellas izstradesapjoms - Copy
Ievaditas koksnesmitrums - Copy
Velamais mitrums -Copy
Sagadatais koksnesdaudzums - Copy
Ievaditais koksnesdaudzums - Copy
Razosanaspotencials - Copy
Razosanaspotencials - Copy
Total energycontent in wood -
Copy
Total energycontent in dried
wood - Copy
Energy content inBiooil - Copy
Energy content inBiochar - Copy
Energy content inPyrolysis gas - Copy
Bioogles - Copy
Pirolizesgaze - Copy
Bioellas razosana -Copy
Total Biooil energy -Copy
Total Biochar energy- Copy
Total Pyrolysis gasenergy - Copy
Total residueenergy - Copy
Necessary energyfor heating - Copy
Auxiliary_121 -Copy
Bioellas razosana -Copy
Bioellas razosana -Copy
fraction increaselabour salary
Kopejais pardotaisapjoms - Copy
Kopejais pardotaisapjoms - Copy
Bioellas razosana -Copy
Auxiliary_159 -Copy
Auxiliary_165 -Copy 3
Ievaditais koksnesdaudzums - Copy
Wood chips price -Copy 3Rate_34 - Copy 6
Final product priceincrease
Auxiliary_166 -Copy 3
Bioellas razosana -Copy
Level_20 - Copy 3
Rate_49 - Copy 3
Constant_15 - Copy3
Auxiliary_167 -Copy
Potencialsizmantosanai -
Copy
Potencialsizmantosanai -
Copy
Auxiliary_168 -Copy
Auxiliary_169 -Copy 3
Production process
steps
Production
capacities Investments and
capital
investments
Workforce,
expenses
Electricity, energy
efficiencyHeat, energy efficiency
Income,
expenses,
profit
2222
Input data for system dynamics model
Product
Selected
production
capacities,
t/year
Product
amount from
used raw
material, %
Product
price, €/t
Capital
investments, €/t
Lyocell 65 000 30,4 1 2 500 4 328
Bio-oil 30 000 70 2 190 600
Xylan
derivatives20 000 15 1 2 500 5 000
1 – from input dry mass2 – from input raw material with 10% relative moisture content
Input data, that are taken into account:
▪ electricity and heat consumptions and tariffs;
▪ chemical amounts and expenses;
▪ workforce and it’s expenses.
2323
Assumptions in system dynamic modelling
▪ raw material and end products price increase is
2% per year;
▪ payment increase for workforce is 3% per year;
▪ heat tariff increase is 1,5% per year;
▪ electricity tariff increase is 1,5% per year;
▪ economic lifetime for technologies is 15 years;
▪ investments discount rate is 7%.
2424
Products relative expenses comparison
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Lyocell Bio-oil Xylan derivatives
Workforce expenses Capital expenses Wood expenses
Energy expenses Other expenses Chemical expenses
2525
Profit showings comparison
-60,00
-40,00
-20,00
0,00
20,00
40,00
60,00
-600,00
-400,00
-200,00
0,00
200,00
400,00
600,00
2018 2020 2022 2024 2026 2028 2030
Pro
fit o
n u
se
d w
oo
d u
nit, €
/m3
Pro
fit o
n p
rod
uctio
n u
nit, €
/t
Lyocell profit (on t of production) Bio-oil profit (on t of production)
Xylan profit (on t of production) Lyocell profit (on m3 wood)
Bio-oil profit (on m3 wood) Xylan profit (on m3 wood)
2626
▪ Feasibilty study’s economic and effects on environment evaluation
shows that it is necessary to develop product groups not individual
products, that matches up with bioeconomy principles and increase
income overall
Cascade type production unit
Riga Technical university
Use
fo
r energ
y p
rod
uct
ion
Biomass
1.
end-product
By-product use
By-product use
3.
end-product
2.
end-product
27
Potential market and price study
2828
Product Price
Market appeal Competition advantages
Local
market
International
market
Local
market
International
market
Lyocell 2,54 €/kg 69 % 80 % 27 %
46 % (natural)
47 %
58 % (natural)
Bio-oil 9–15 €/GJ 67 % 73 % 27 % 31 %
Xylan
(xylitol)
6 €/kg - 67 % - 14 %
Potential market and price study
2929
Market outlook - GE/ McKinsey matrix
0%
33%
66%
99%
0% 33% 66% 99%
Ma
rke
t a
ttra
cti
ve
ne
ss
Products competitive advantages
Lyocell LV Lyocell EU Lyocell LV natural Lyocell EU natural
Xylitol Europe Bio-oil LV Bio-oil Europe
3030
▪ Xylan (xylitol) can be obtained as by-product in other production
processes, xylitol as sweetener has big competition. Complex
product manufacturing possibilities or manufacturing of xylan as
by-product should be evaluated.
▪ Bio-oil as fuel is possible to realise, if competition advantages are
improved, but it is advised to evaluate products from bio-oil with
higher added value. Bio-oil use can be put to further processing in
products with higher added value, for example, biodiesel
(transport), phenol (rubber factories), volatile organic acids (ice-
cover preclusion), additives for pharmacy and food factories, etc.
▪ Lyocell shows positive commercialization possibilities in a
segment of natural fibres. Total textile fibre segment should
concentrate on international market.
Before starting production and commercialization more detailed
market study and analysis of business plan is necessary.
Market study results summary
31
Additional research questions
3232
Additional research questions
Question groups
1. Innovative technologies
2. Innovative products
3. Economic questions
4. Environmen
t and climate
questions
5. Law and regulations questions
24 research questions are offered in a feasibility study
33
Conclusions
3434
▪ The golden string of LSF can be found in bioeconomy development
of the forestry industry: there is a wide range of possibilities to
increase price of forest resources in long term, by going step by step
in exported forest resource processing in Latvia, by initializing
(helping create) increased demand in local market and increased
economic advantages of forest resource use.
▪ There are fields identified, where forestry industry organisations can
work. It was done by evaluating three innovative products – textile
from wood (lyocell), bio-oil and chemical products (xylan derivatives)
commercialization possibilities. Separate manufacturing of one
particular product, without using residues for manufacturing of other
products with high added value, is not economically feasible in most
cases and leave bigger effects on climate and environment.
Therefore, it is suggested to evaluate manufacturing of these
products in a complex system with other products (using by-
products for manufacturing of other products) in detail.
Conclusions (I)
3535
▪ Scientific institutions of Latvia are ready to carry out studies onmanufacturing of innovative products from forest biomass, includingdevelopment of new and effective technologies for globally known by-products, and their commercialization, but until now innovationdevelopment has been obstructed by:
– lack of financial resources;
– interdisciplinary cooperation nihility between different scientific institutions;
– lack of studies that are oriented on results;
– scientifically justified facts and trust, that there are adequate and suitableamounts of available bioresources in Latvia;
– disregard of bioeconomy base principles.
▪ It should be continued to systematically develop innovative productsand technologies commercialization possibilities by taking into accountcommercialization effecting factors (for example, not only economic andclimate, but also political, resource and social, etc. factors) dynamicnature.
Conclusions (II)
36
Recommendations
3737
▪ To develop organisation (JSC «Latvia’s State Forests») bioeconomystrategy, that would be a base for resource consolidation, research actions,product commercialization in short term and long term.
▪ Climate alignment. To help government institutions arrange climate politicsquestions, achieving support in carbon preservation innovative productsmethods acknowledgment and include these calculations in EU memberstates climate goals.
▪ Resource alignment. To make resource use study on non-coniferous wood,depending on species, use for products with high added value and onparticular, incompletely used forest resource (for example, needles, barks)no residue use possibilities for manufacturing of different products with highadded value.
▪ Manufacturing alignment. To make detailed studies on bio-oil, textile fromwood and valuable chemical compound complex manufacturing possibilitiesin Latvia, including practical studies (development of technologies andprototypes) and business plan development for particular productmanufacturing. To evaluate possibilities to establish biorefinery factory inLatvia, where forest biomass would be used as a main resource. Toevaluate possibilities to renew cellulose production in Latvia formanufacturing of products with high added value, using innovative,environment and human health friendly technologies.
Recommendations (I)
3838
▪ Environment alignment. To carry out a study on bioeconomydevelopment effects on climate, environment and biodiversity, to defineboundary conditions for different bioresources that can be collectedfrom forest, without creating damages on climate, environment andbiodiversity.
▪ To give an opportunity to representative of scientific institutions of Latviato offer and for LSF to support local scientist created innovationdevelopment for forest biomass use to create product with high addedvalue. To initialize scientists on result based research: for innovativeproducts from forest biomass commercialization (from laboratory scaleto product - TRL >7).
▪ Management alignment. Making of expert work group, includinguntraditionally thinking experts, for gradual and regular bioeconomyprinciples establishment in LSF.
▪ Development of information alignment, to (1) promote employer andforestry industry professional understanding and interest in sustainableforest resource use and (2) to advance society’s education andinvolvement in forest resource eco-effective use.
Recommendations (II)
3939
▪ Dr.hab.sc.ing. Dagnija Blumberga
▪ Dr.hab.sc.ing. Ivars Veidenbergs
▪ Dr.sc.ing. Jeļena Pubule, Gatis Bažbauers, Andra
Blumberga
▪ Dr.sc.chem. Sarma Valtere, Kārlis Valters
▪ M.sc. Indra Muižniece, Lauma Žihare, Krišs Spalviņš,
Karīna Bāliņa, Lelde Timma, Vladimirs Kirsanovs, Miķelis
Dzikēvičs, Jeļena Ziemele
▪ B.sc. Raimonda Soloha, Armands Grāvelsiņš, Toms
Prodaņuks, Vivita Priedniece, Līga Sniega, Antra
Kalnbaļķīte
Consultants: Indulis Brauners, Matīss Bičevskis, Andis
Lazdiņš
Contract executors