Demands and Prices
Fuel price trajectories, demand projections, and policy assumptions
VerveStacks incorporates comprehensive demand forecasting and fuel price trajectories from global scenario datasets to create realistic economic foundations for energy system modeling.
Core Philosophy
Economic Realism Through Global Integration
VerveStacks embeds economic signals directly from peer-reviewed global scenarios, ensuring that country-specific models reflect realistic price trajectories and demand evolution patterns. This approach provides quantitative foundations for technology deployment economics, fossil fuel phase-out pathways, and renewable energy investment drivers.
Scenario-Driven Differentiation
Rather than using static assumptions, VerveStacks leverages scenario-based trajectories that capture the economic dynamics of different climate and policy pathways. This enables robust analysis of technology transitions under varying economic conditions.
Fuel Price Integration
AR6 Scenarios Foundation
Base year fuel price assumptions
VerveStacks incorporates country-specific fuel price assumptions based on regional market conditions, transportation costs, and infrastructure constraints:
iso |
gas_low |
gas_high |
coal_low |
coal_high |
oil_low |
oil_high |
bioenergy_low |
bioenergy_high |
|---|---|---|---|---|---|---|---|---|
USA |
10.3 |
13.7 |
11.5 |
14.5 |
45 |
55 |
18 |
26 |
CHN |
17.1 |
24.0 |
9.1 |
12.2 |
48 |
58 |
20 |
28 |
DEU |
29.1 |
41.1 |
13.7 |
16.7 |
48 |
58 |
24 |
32 |
JPN |
34.2 |
47.9 |
18.3 |
22.9 |
48 |
58 |
28 |
36 |
IND |
30.9 |
41.1 |
8.6 |
11.0 |
45 |
55 |
15 |
22 |
GBR |
27.4 |
39.4 |
13.7 |
16.7 |
48 |
58 |
26 |
34 |
FRA |
29.1 |
41.1 |
13.7 |
16.7 |
48 |
58 |
24 |
32 |
ITA |
29.1 |
41.1 |
15.2 |
18.3 |
50 |
60 |
25 |
33 |
Note: Prices represent delivered cost to power plants including transportation. Ranges reflect seasonal variations, contract vs spot pricing, and peak/off-peak periods.
Key Data Sources:
U.S. Energy Information Administration (EIA): Henry Hub natural gas spot prices, Central Appalachian coal prices, Short-Term Energy Outlook (August 2025), wood pellet prices
International Energy Agency (IEA): Energy Prices Database, Gas Market Report Q3-2025
European Commission: Weekly Oil Bulletin, EU Energy Markets Observatory
CME Group/NYMEX: Natural gas futures (Henry Hub), coal futures (Central Appalachian)
ICE: TTF gas futures, API2 coal futures, Brent crude futures
Argus Media: Global LNG prices, Asian spot LNG (JKM), coal price assessments, biomass pellet indices
S&P Global Platts: Regional gas hubs, coal markers, oil product prices
Regional Price Benchmarks (2025 Averages):
Natural Gas: Henry Hub $2.50-4.20/MMBtu; TTF €25-35/MWh; JKM $10-14/MMBtu
Coal: Central Appalachian $70-80/ton; API2 (ARA) $90-110/ton; Newcastle $120-150/ton
Oil: Brent $75-85/barrel; WTI $70-80/barrel
Biomass: US pellets $180-230/ton; EU pellets €180-250/ton; Asian pellets $150-200/ton; Agricultural residues $40-80/ton
Global fuel price trajectories by scenario - Regional price adjustments based on IPCC AR6 Working Group III scenarios - Transportation and distribution cost modeling - Tax and subsidy adjustment mechanisms
Carbon Pricing Implementation
Carbon pricing trajectories from IPCC AR6 climate scenarios
VerveStacks incorporates carbon pricing trajectories extracted from IPCC AR6 Working Group III vetted scenarios, providing quantitative foundations for energy system modeling across 5 climate categories, 11 global regions, and the critical 2020-2050 transition period.
Data Source and Methodology
Source: IPCC AR6 Working Group III Scenarios Database R10 regions v1.1
Quality Control: Chapter 3 vetted scenarios only (peer-reviewed model-scenario combinations)
Variable:
Price|Carbon(economy-wide carbon pricing)Currency: All values in constant 2015 US Dollars (USD2015) per IPCC AR6 conventions
Outlier Treatment: Conservative IQR-based removal (2.5×IQR threshold) applied surgically by Category-Region-Year groups
Coverage: 385 data points across 5 climate categories and 11 R10 regions
Climate Categories and Price Ranges
The carbon price trajectories show clear hierarchical ordering reflecting economic effort required for different climate targets:
Category |
Description |
Climate Target |
2050 Price (USD2015/tCO2) |
|---|---|---|---|
C1 |
Limit warming to 1.5°C (>50%) with no/limited overshoot |
Most Ambitious |
$592 |
C2 |
Limit warming to 1.5°C (>67%) with high overshoot |
High Ambition |
$289 |
C3 |
Limit warming to 2°C (>67%) with higher action post-2030 |
Moderate-High |
$210 |
C4 |
Limit warming to 2°C (>50%) with immediate action |
Moderate |
$112 |
C7 |
Likely above 3°C warming with limited mitigation |
Minimal Action |
$0 |
Temporal Evolution Patterns
All ambitious scenarios (C1-C4) show rapid price acceleration post-2025:
Year |
C1 |
C2 |
C3 |
C4 |
C7 |
|---|---|---|---|---|---|
2020 |
$3 |
$0 |
$3 |
$1 |
$0 |
2025 |
$151 |
$29 |
$40 |
$14 |
$0 |
2030 |
$214 |
$51 |
$60 |
$27 |
$0 |
2040 |
$362 |
$173 |
$131 |
$75 |
$0 |
2050 |
$592 |
$289 |
$210 |
$112 |
$0 |
Regional Price Differentiation
For the most ambitious scenarios (C1), regional median prices in 2050 range from $526-644/tCO2:
- Developed Regions (highest carbon prices):
North America: $644/tCO2
Europe: $635/tCO2
Pacific OECD: $604/tCO2
- Emerging Economies (moderate carbon prices):
Africa: $605/tCO2
India+: $592/tCO2
China+: $582/tCO2
- Other Regions (lower carbon prices):
Latin America, Middle East, Rest of Asia: ~$582/tCO2
Reforming Economies: $578/tCO2
Rest of World: $526/tCO2
Demand Projection Framework
Energy Demand Evolution
VerveStacks integrates demand projections that reflect: - Economic growth trajectories aligned with scenario assumptions - Sectoral demand evolution (residential, commercial, industrial, transport) - Efficiency improvement pathways - Electrification trends across sectors
Note
All carbon pricing trajectories and fuel price assumptions are derived from peer-reviewed IPCC AR6 scenarios with full methodological transparency and reproducibility.
See also
- Renewable Energy Characterization
Renewable resource assessment and technology cost assumptions
- Existing Stock Characterization
Existing power plant economics and retirement assumptions
- Stress-Based Timeslice Design
Temporal modeling of price volatility and system stress periods