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ADDITIONAL COST OF BIOMASS
REALLOCATION IN NATEM
Etienne Bernier
CanmetENERGY in Varennes
ETSAP workshop, Bonn, Germany
June 24, 2024
COPYRIGHT AND DISCLAIMER
Commercial reproduction and distribution is prohibited except with written permission from NRCan.
For more information, contact NRCan at nrcan.copyrightdroitdauteur.rncan@canada.ca.
息 His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources
Canada, 2024
DISCLAIMER
The content of this presentation is for information purposes and does not represent the policy
positions of the Government of Canada, nor does it constitute the endorsement of any particular
commercial product.
Natural Resources Canada (NRCan) is not responsible for the accuracy or completeness of the
information contained in the reproduced material. NRCan shall at all times be indemnified and held
harmless against any and all claims whatsoever arising out of negligence or other fault in the use of
the information contained in this presentation.
2
OUR RESEARCH CENTRES IN CANADA
3
HAMILTON (ON)
 Transportation (materials)
 Clean energy production
 Pipelines
 Manufacturing sector
VARENNES (QC)
 Buildings
 Industrial processes
 Renewable energy integration
 RETScreen International
OTTAWA (ON)
 Communities & infrastructure
 Industrial processes
 Clean electricity
 Bioenergy
 Renewables
 Transportation
DEVON (AB)
 Fossil fuel decarbonization, extraction,
upgrading, refining and biofuels
 Environmental studies and
remediation
 Oil spill science
IEA
ETC
OUR INDUSTRIAL DECARBONISATION APPROACH / METHODOLOGY
4
5
Why could additional costs matter to policymakers?
Scenario definitions
Results
Interpretation
Questions & Answers
OUTLINE
PROBLEM DEFINITION FROM A POLICYMAKING PERSPECTIVE
 Knowledge of additional costs (minimum cost of accommodating an additional constraint) brings value to
policymakers because it helps quantify future trade-offs between narrow and broad sets of end-uses of a
scarce natural resource
 For example: it is significantly more costly to allocate biomass for multiple end-uses (SAF, diesel and gasoline
substitutes, buildings heat, electricity generation, industrial, etc.) rather than just a purportedly optimal set?
 This work examined the additional cost of allocating biomass to various end uses, while still achieving the
goal of Net Zero GHG emissions in Canada by 2050 at the least cost:
 B - Allocating more biomass than optimal to the industrial sector
 C - Allocating more biomass than optimal to the transportation sector
 D - Allocating more biomass than optimal to the buildings sector
 E - Allocating more biomass than optimal to the solid carbon storage sector
 NATEM was chosen for this work because it is an optimization-based model and it adequately models
Canadas energy systems (multi-sector)
 The project was conducted in a partnership approach with ESMIA
Everyone in Canada wants to decarbonise using biomass, but who deserves it most?
6
SCENARIO DEFINITIONS
Scenario Additional constraints
A. Optimal  Net Zero in 2050 is the main constraint
 Resulting usage of lignocellulosic biomass - 85 million dry tons
in 2050 - becomes a fixed input for all other scenarios
B. More industry  Specific BECCS technologies are required in the steel, iron ore,
cement and pulp sectors in 2050
C. More transportation  50% of biomass input (vs 2% optimal) must be transformed into
liquid transportation fuels in 2050 (any end-use)
D. More buildings  50% of biomass input (vs 0% optimal) must be transformed into
pellets for buildings in 2050 (any end-use)
E. More solid carbon storage  No additional constraint, but negative emissions are recognized
only when based on biochar storage, not biogenic CO2 storage
7
RESULTS FOR SCENARIO A: OPTIMAL BIOMASS USE IN 2050
 Important role for slow pyrolysis as soon as 2030, followed by gasification later (BECCS for H2)
 Co-location on heavy industrial sites to enable efficient, direct uses of syngas with CCS
 Transportation uses biofuels in 2050, but less than electricity, jet fuel, hydrogen and gasoline
 Industrial steam generation is not entirely electrified; it acts as a swing user for excess bioenergy
8
SCENARIO B: INCREASED BIOMASS USE IN INDUSTRY
 Requiring specific BECCS technologies ends up reshuffling biomass use - and the balance of positive
and negative emissions - within industry, without diverting a significant amount from other sectors
 Additional cost is quite small ($3.2B CAD) because overall electricity demand barely increases
 No significant change in direct air capture and in overall transformation losses
Low additional cost, as industrial uses were already preferred
9
Additional
costs
(Billions
CAD
2016)
SCENARIO C: INCREASED BIOMASS USE IN TRANSPORTATION
 More biorefineries with CCS, less gasification and pyrolysis in industry
 Less gasoline, jet fuel, and first generation biofuels in transportation
 $41B additional cost includes $16B to build more biorefinery capacity and $24B to increase
electrification overall, including even more electric vehicles (!), to offset transformation losses
Moderate additional cost, as vehicle electrification remains maximized to avoid re-emission
10
Additional
costs
(Billions
CAD
2016)
SCENARIO D: INCREASED BIOMASS USE IN BUILDINGS
 More pelletization for residential end-uses, less gasification and pyrolysis in industry
 Increase in Direct Air Capture (DAC) to recover the leaked (otherwise storable) biogenic carbon
 $118B additional cost includes $147B to provide more electricity to DAC and other sectors, including
in non-residential buildings, offset by $54B savings in residential appliance CAPEX
High additional cost, as biogenic CO2 is re-emitted where clearly it should not
11
Additional
costs
(Billions
CAD
2016)
SCENARIO E: INCREASED BIOMASS USE IN CARBON STORAGE
 More slow pyrolysis, less gasification
 Scenario definition (CO2 never negative) reallocates pyrolysis by-products towards CCS-incompatible
applications and natural gas towards CCS-compatible ones, including blue hydrogen
 A modest amount of industrial CO2 capture is replaced by DAC in 2050
 $35B additional cost includes $51B to increase electrification (more DAC, less combustion), offset by
savings related to CO2 capture and storage
Moderate additional cost, as pyrolysis was already a preferred route
12
Additional
costs
(Billions
CAD
2016)
INTERPRETATION FOR POLICYMAKERS
 Bioenergy pathways that lock-in avoidable CO2 re-emissions will likely be regretted
 Buildings heat emerged as the worst offender in this work, but this may apply to many other re-emitting schemes
 Possible consequence: priced out of feedstock, as negative emitters will have a higher ability to pay for biomass
 Favored bioenergy pathways are 1) highly carbon-negative, 2) highly energy efficient compared to
respective end-use electrification, and 3) low CAPEX
 This favors industrial end-uses, especially where H2, syngas and solid carbon are strictly needed
 For transportation sector applications that require carbon, low-loss pathways (e.g. petroleum refining)
are preferred to high-loss pathways (e.g. Fischer-Tropsch synthesis), biogenic or not
 Liquid biofuels are less problematic when 1) production facilities are CCS-ready, and 2) not a pretext to slow down
non-emitting alternatives
 Storing carbon in solid form is attractive despite leaving energy behind
 Analogous to adding negative coal in the energy mix
Biomass is more valuable as a carbon store than as an energy source. Everything else follows on from this.
13
A PARADIGM SHIFT ABOUT GHG EMISSIONS
Modelling brings a new way to think about decarbonization, by showing its emergent properties
14
1615 Lionel-Boulet Blvd.
Varennes (QC) J3X 1P7
Phone: +1.450.652.4621
canmetenergy@nrcan.gc.ca
Contact infos:
Etienne Bernier
(etienne.bernier@nrcan-rncan.gc.ca)
Industrial Systems Optimization
CanmetENERGY in Varennes
Energy Efficiency and Technology Sector
Natural Resources Canada
Government of Canada

More Related Content

Additional Cost of Biomass Reallocation in NATEM

  • 1. ADDITIONAL COST OF BIOMASS REALLOCATION IN NATEM Etienne Bernier CanmetENERGY in Varennes ETSAP workshop, Bonn, Germany June 24, 2024
  • 2. COPYRIGHT AND DISCLAIMER Commercial reproduction and distribution is prohibited except with written permission from NRCan. For more information, contact NRCan at nrcan.copyrightdroitdauteur.rncan@canada.ca. 息 His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada, 2024 DISCLAIMER The content of this presentation is for information purposes and does not represent the policy positions of the Government of Canada, nor does it constitute the endorsement of any particular commercial product. Natural Resources Canada (NRCan) is not responsible for the accuracy or completeness of the information contained in the reproduced material. NRCan shall at all times be indemnified and held harmless against any and all claims whatsoever arising out of negligence or other fault in the use of the information contained in this presentation. 2
  • 3. OUR RESEARCH CENTRES IN CANADA 3 HAMILTON (ON) Transportation (materials) Clean energy production Pipelines Manufacturing sector VARENNES (QC) Buildings Industrial processes Renewable energy integration RETScreen International OTTAWA (ON) Communities & infrastructure Industrial processes Clean electricity Bioenergy Renewables Transportation DEVON (AB) Fossil fuel decarbonization, extraction, upgrading, refining and biofuels Environmental studies and remediation Oil spill science
  • 4. IEA ETC OUR INDUSTRIAL DECARBONISATION APPROACH / METHODOLOGY 4
  • 5. 5 Why could additional costs matter to policymakers? Scenario definitions Results Interpretation Questions & Answers OUTLINE
  • 6. PROBLEM DEFINITION FROM A POLICYMAKING PERSPECTIVE Knowledge of additional costs (minimum cost of accommodating an additional constraint) brings value to policymakers because it helps quantify future trade-offs between narrow and broad sets of end-uses of a scarce natural resource For example: it is significantly more costly to allocate biomass for multiple end-uses (SAF, diesel and gasoline substitutes, buildings heat, electricity generation, industrial, etc.) rather than just a purportedly optimal set? This work examined the additional cost of allocating biomass to various end uses, while still achieving the goal of Net Zero GHG emissions in Canada by 2050 at the least cost: B - Allocating more biomass than optimal to the industrial sector C - Allocating more biomass than optimal to the transportation sector D - Allocating more biomass than optimal to the buildings sector E - Allocating more biomass than optimal to the solid carbon storage sector NATEM was chosen for this work because it is an optimization-based model and it adequately models Canadas energy systems (multi-sector) The project was conducted in a partnership approach with ESMIA Everyone in Canada wants to decarbonise using biomass, but who deserves it most? 6
  • 7. SCENARIO DEFINITIONS Scenario Additional constraints A. Optimal Net Zero in 2050 is the main constraint Resulting usage of lignocellulosic biomass - 85 million dry tons in 2050 - becomes a fixed input for all other scenarios B. More industry Specific BECCS technologies are required in the steel, iron ore, cement and pulp sectors in 2050 C. More transportation 50% of biomass input (vs 2% optimal) must be transformed into liquid transportation fuels in 2050 (any end-use) D. More buildings 50% of biomass input (vs 0% optimal) must be transformed into pellets for buildings in 2050 (any end-use) E. More solid carbon storage No additional constraint, but negative emissions are recognized only when based on biochar storage, not biogenic CO2 storage 7
  • 8. RESULTS FOR SCENARIO A: OPTIMAL BIOMASS USE IN 2050 Important role for slow pyrolysis as soon as 2030, followed by gasification later (BECCS for H2) Co-location on heavy industrial sites to enable efficient, direct uses of syngas with CCS Transportation uses biofuels in 2050, but less than electricity, jet fuel, hydrogen and gasoline Industrial steam generation is not entirely electrified; it acts as a swing user for excess bioenergy 8
  • 9. SCENARIO B: INCREASED BIOMASS USE IN INDUSTRY Requiring specific BECCS technologies ends up reshuffling biomass use - and the balance of positive and negative emissions - within industry, without diverting a significant amount from other sectors Additional cost is quite small ($3.2B CAD) because overall electricity demand barely increases No significant change in direct air capture and in overall transformation losses Low additional cost, as industrial uses were already preferred 9 Additional costs (Billions CAD 2016)
  • 10. SCENARIO C: INCREASED BIOMASS USE IN TRANSPORTATION More biorefineries with CCS, less gasification and pyrolysis in industry Less gasoline, jet fuel, and first generation biofuels in transportation $41B additional cost includes $16B to build more biorefinery capacity and $24B to increase electrification overall, including even more electric vehicles (!), to offset transformation losses Moderate additional cost, as vehicle electrification remains maximized to avoid re-emission 10 Additional costs (Billions CAD 2016)
  • 11. SCENARIO D: INCREASED BIOMASS USE IN BUILDINGS More pelletization for residential end-uses, less gasification and pyrolysis in industry Increase in Direct Air Capture (DAC) to recover the leaked (otherwise storable) biogenic carbon $118B additional cost includes $147B to provide more electricity to DAC and other sectors, including in non-residential buildings, offset by $54B savings in residential appliance CAPEX High additional cost, as biogenic CO2 is re-emitted where clearly it should not 11 Additional costs (Billions CAD 2016)
  • 12. SCENARIO E: INCREASED BIOMASS USE IN CARBON STORAGE More slow pyrolysis, less gasification Scenario definition (CO2 never negative) reallocates pyrolysis by-products towards CCS-incompatible applications and natural gas towards CCS-compatible ones, including blue hydrogen A modest amount of industrial CO2 capture is replaced by DAC in 2050 $35B additional cost includes $51B to increase electrification (more DAC, less combustion), offset by savings related to CO2 capture and storage Moderate additional cost, as pyrolysis was already a preferred route 12 Additional costs (Billions CAD 2016)
  • 13. INTERPRETATION FOR POLICYMAKERS Bioenergy pathways that lock-in avoidable CO2 re-emissions will likely be regretted Buildings heat emerged as the worst offender in this work, but this may apply to many other re-emitting schemes Possible consequence: priced out of feedstock, as negative emitters will have a higher ability to pay for biomass Favored bioenergy pathways are 1) highly carbon-negative, 2) highly energy efficient compared to respective end-use electrification, and 3) low CAPEX This favors industrial end-uses, especially where H2, syngas and solid carbon are strictly needed For transportation sector applications that require carbon, low-loss pathways (e.g. petroleum refining) are preferred to high-loss pathways (e.g. Fischer-Tropsch synthesis), biogenic or not Liquid biofuels are less problematic when 1) production facilities are CCS-ready, and 2) not a pretext to slow down non-emitting alternatives Storing carbon in solid form is attractive despite leaving energy behind Analogous to adding negative coal in the energy mix Biomass is more valuable as a carbon store than as an energy source. Everything else follows on from this. 13
  • 14. A PARADIGM SHIFT ABOUT GHG EMISSIONS Modelling brings a new way to think about decarbonization, by showing its emergent properties 14
  • 15. 1615 Lionel-Boulet Blvd. Varennes (QC) J3X 1P7 Phone: +1.450.652.4621 canmetenergy@nrcan.gc.ca Contact infos: Etienne Bernier (etienne.bernier@nrcan-rncan.gc.ca) Industrial Systems Optimization CanmetENERGY in Varennes Energy Efficiency and Technology Sector Natural Resources Canada Government of Canada