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TOKIMATSU Koji
Associate professor
Tokyo Institute of Technology (Tokyo Tech)
tokimatsu.k.ac@m.titech.ac.jp
Energy modeling approach to the
global energy-mineral nexus:
Exploring metal requirements and
the well-below 2DC target with 100
percent renewable energy
contents2
https://doi.org/10.1016/j.apenergy.2018.05.047
Two major uncertainties are addressed;
 Scenario; 100% Renewable Energy (RE) Power mix
 metal req.; metal use, lifetime, recycling rate
Presentation structure
1. Introduction
 background
 Research questions
2. Methodology
 The model
 Scenario description
3. Results
 Power mix (1.7DC, NC)
 metal requirement in the energy scenarios
4. Discussion & Summary
3
introduction4
1. Energy and climate change issues
 Radical promotion and expansion of RE
 < 2 degrees Celsius (DC) in Paris Agreement
2. Research Questions
 How to attain the well below 2DC target under future
energy and climate change scenarios?
 How much scarce metals are demanded if we heavily
depended on various cutting edge RE technologies?
3. Our innovations
 Scenario flexibility; operating our own model
(without borrowing ones from authorities like IEA)
 Scenario sets; 1.7DC target under our own scenarios
 Combination; energy-mineral nexus
The model
very conventional but various kinds of resources
1. perfect foresight, least supply cost minimization
by dynamic linear programming, meeting given
final resource demands
2. geographical coverage; global with 10 regions
3. time horizon; 2010, 2020, …, 2150
4. “bottom-up” type with some 100 technologies
5. energy, mineral, biomass and food resources
 fossil fuels, uranium, various renewables
 Ion ore, bauxite, copper, zinc, lead, limestone
 logs, wood pulp, timber, meat, cereals
5
  








rg
rgrgrg LCMCECTC 



102010,102010,102010,
10
14
0
1
1
min
The model (2)
1. Interlinkages of the three resource models
 wood and logs (land-use model) as bioenergy
 biomass residues (land-use model) to potential
supply of biomass (energy model)
 Electricity and heat (material model) are provided
from the energy model.
 Fly-ash from pulverized coal-fired power plants
(energy model) is linked to the Portland fly-ash
cement process (material model).
2. A simplified climate model (from RICE 2010) is
used to compute CO2 concentration from GHG
emissions (energy, land-use, material models) and
temperature rise.
6
Disposal
Recovery
Recycling
refinery
conversion
Extraction
Harvesting
Final
demand
Final
products
export & import via global market and regional trade (balanced globally)
Transport
Cost of
extraction,
land use,
harvesting
+
Cost of
transport +
Cost of
refinery,
conversion
+
Cost of
producing
final products
Cost of
disposal,
recycling
+Σ
rg,yr
minimizing discounted sum of cost from 2010 … 2150
• coal, oil, gas, uranium
• iron ore, bauxite,
copper, lead, zinc,
limestone
• logs, wood pulp, timber,
papers
• pork, chicken, mutton,
beef, rice, wheat, corn
• refinery, hydrogen, FT-synfuel,
methanol, ethanol, BDF, power,
heat
• machinery steel, construction steel,
non-ferrous metals, cement,
concrete
• woods (pulp, paper, boards), foods
(chicken, pork, beef, mutton)
• power, heat, transport
• vehicle, buildings,
infrastructure,
electricity and
machinery
• fuel log, paper, boards,
grains, chicken, port,
beef, mutton
• coal ash, plutonium
• granulated slag, waste
concrete, scraps
• biomass residue (crop
residue, garbage,
excrement, animal waste,
logging residue, used
paper, lumbering residue,
black liquor)
Scenario description
 Climate policy
 “1.7DC”; attaining 1.7DC by capping cumulative “net” zero
emission over time, allowing an overshoot and a negative
emission by large deployment of CCS.
 “no control (NC)”; without the cap
 Energy policy
 “Ren100”, attaining 100% RE power mix in 2100
 “Gas&Ren”, co-existence of RE and cleaner fossil.
 “Coal&Nuc”, pursuing efficiencies (less market volatility)
Phasing-out Resources CCS
RE100 Nuc, Fossil Cheap gas after 2030 in power
after 2050 in heat
Gas&Ren --- Cheap gas after 2050, coal only
---
Coal&Nuc --- Cheap Uranium ---
8
Results; power mix 9
Ren100, NC
2.7 DC
IGCC+CCS
40% by PV, WP 20% by PV, WP, ocean
30% by bio, ocean
20% by bio, oil
10% by oil
40% by gas
30% by coal
Gas&Ren, NC
2.7 DC
Coal&Nuc, NC
Ren100, 1.7DC Gas&Ren, 1.7DC Coal&Nuc, 1.7DC
2.9 DC
Results; power capacity changes under the three
energy scenarios (NC, 1.7DC, and difference)
10
2100
1.7
DC
1.7
DC
1.7
DC
Data; metal requirements in various technologies 11
Results; metal requirement uncertainties (PV) 12
* Min. sets; metal use = min, lifetime = long, recycling rate = 100% in 2100
13
Note; all default sets (metal use = max, lifetime = short, recycling rate = 0%)
Results; Metal requirements (FCV for hydrogen) 13
Thank you for your kind attentions
Questions?

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Energy modeling approach to the global energy-mineral nexus: Exploring metal requirements and the well-below 2?°C target with 100 percent renewable energy

  • 1. TOKIMATSU Koji Associate professor Tokyo Institute of Technology (Tokyo Tech) tokimatsu.k.ac@m.titech.ac.jp Energy modeling approach to the global energy-mineral nexus: Exploring metal requirements and the well-below 2DC target with 100 percent renewable energy
  • 2. contents2 https://doi.org/10.1016/j.apenergy.2018.05.047 Two major uncertainties are addressed;  Scenario; 100% Renewable Energy (RE) Power mix  metal req.; metal use, lifetime, recycling rate
  • 3. Presentation structure 1. Introduction  background  Research questions 2. Methodology  The model  Scenario description 3. Results  Power mix (1.7DC, NC)  metal requirement in the energy scenarios 4. Discussion & Summary 3
  • 4. introduction4 1. Energy and climate change issues  Radical promotion and expansion of RE  < 2 degrees Celsius (DC) in Paris Agreement 2. Research Questions  How to attain the well below 2DC target under future energy and climate change scenarios?  How much scarce metals are demanded if we heavily depended on various cutting edge RE technologies? 3. Our innovations  Scenario flexibility; operating our own model (without borrowing ones from authorities like IEA)  Scenario sets; 1.7DC target under our own scenarios  Combination; energy-mineral nexus
  • 5. The model very conventional but various kinds of resources 1. perfect foresight, least supply cost minimization by dynamic linear programming, meeting given final resource demands 2. geographical coverage; global with 10 regions 3. time horizon; 2010, 2020, …, 2150 4. “bottom-up” type with some 100 technologies 5. energy, mineral, biomass and food resources  fossil fuels, uranium, various renewables  Ion ore, bauxite, copper, zinc, lead, limestone  logs, wood pulp, timber, meat, cereals 5            rg rgrgrg LCMCECTC     102010,102010,102010, 10 14 0 1 1 min
  • 6. The model (2) 1. Interlinkages of the three resource models  wood and logs (land-use model) as bioenergy  biomass residues (land-use model) to potential supply of biomass (energy model)  Electricity and heat (material model) are provided from the energy model.  Fly-ash from pulverized coal-fired power plants (energy model) is linked to the Portland fly-ash cement process (material model). 2. A simplified climate model (from RICE 2010) is used to compute CO2 concentration from GHG emissions (energy, land-use, material models) and temperature rise. 6
  • 7. Disposal Recovery Recycling refinery conversion Extraction Harvesting Final demand Final products export & import via global market and regional trade (balanced globally) Transport Cost of extraction, land use, harvesting + Cost of transport + Cost of refinery, conversion + Cost of producing final products Cost of disposal, recycling +Σ rg,yr minimizing discounted sum of cost from 2010 … 2150 • coal, oil, gas, uranium • iron ore, bauxite, copper, lead, zinc, limestone • logs, wood pulp, timber, papers • pork, chicken, mutton, beef, rice, wheat, corn • refinery, hydrogen, FT-synfuel, methanol, ethanol, BDF, power, heat • machinery steel, construction steel, non-ferrous metals, cement, concrete • woods (pulp, paper, boards), foods (chicken, pork, beef, mutton) • power, heat, transport • vehicle, buildings, infrastructure, electricity and machinery • fuel log, paper, boards, grains, chicken, port, beef, mutton • coal ash, plutonium • granulated slag, waste concrete, scraps • biomass residue (crop residue, garbage, excrement, animal waste, logging residue, used paper, lumbering residue, black liquor)
  • 8. Scenario description  Climate policy  “1.7DC”; attaining 1.7DC by capping cumulative “net” zero emission over time, allowing an overshoot and a negative emission by large deployment of CCS.  “no control (NC)”; without the cap  Energy policy  “Ren100”, attaining 100% RE power mix in 2100  “Gas&Ren”, co-existence of RE and cleaner fossil.  “Coal&Nuc”, pursuing efficiencies (less market volatility) Phasing-out Resources CCS RE100 Nuc, Fossil Cheap gas after 2030 in power after 2050 in heat Gas&Ren --- Cheap gas after 2050, coal only --- Coal&Nuc --- Cheap Uranium --- 8
  • 9. Results; power mix 9 Ren100, NC 2.7 DC IGCC+CCS 40% by PV, WP 20% by PV, WP, ocean 30% by bio, ocean 20% by bio, oil 10% by oil 40% by gas 30% by coal Gas&Ren, NC 2.7 DC Coal&Nuc, NC Ren100, 1.7DC Gas&Ren, 1.7DC Coal&Nuc, 1.7DC 2.9 DC
  • 10. Results; power capacity changes under the three energy scenarios (NC, 1.7DC, and difference) 10 2100 1.7 DC 1.7 DC 1.7 DC
  • 11. Data; metal requirements in various technologies 11
  • 12. Results; metal requirement uncertainties (PV) 12 * Min. sets; metal use = min, lifetime = long, recycling rate = 100% in 2100
  • 13. 13 Note; all default sets (metal use = max, lifetime = short, recycling rate = 0%) Results; Metal requirements (FCV for hydrogen) 13
  • 14. Thank you for your kind attentions Questions?