3. Demand projections#

3.1. Industrial demand projections#

Industrial demand projections are based on energy service demand rather than final fuel demand. For most industrial subsectors, TIMES-NZ applies scenario-specific demand growth assumptions derived from recent EEUD history.

For the Steady scenario, we extrapolate the compound annual average growth rates in energy demand over the last 6 years of EEUD data. For the Shift scenario, selected sectors switch to alternative growth assumptions to represent a different economic structure over time. A short transition period is applied when building the Shift indices to avoid unrealistic step changes.

Some sectors use custom treatments rather than a simple EEUD-based growth rate:

  • Dairy demand is mapped to the same projection used for Dairy Cattle Farming in the agriculture module, which tracks the ERP2 Total dairy cattle series[1].

  • Iron & Steel demand is further adjusted through the Electric Arc Furnace (EAF) pathway.

  • Methanol uses an exogenous Methanex demand path based on observed GIC demand.

  • Urea is held flat in the demand projections, but may still reduce endogenously in the model if gas becomes sufficiently scarce and expensive.

  • New industries are represented as exogenous electricity demand growth rather than standard energy service demand.

Table 39 Industrial demand projection assumptions#

Subsector

Steady

Shift

Aluminium

0%

Same as Steady

Construction

1.9%

Same as Steady

Dairy

Tracks Dairy Cattle Farming demand (Baseline high / Total dairy cattle in ERP2)

Tracks Dairy Cattle Farming demand (Baseline low / Total dairy cattle in ERP2)

Iron & Steel

EAF operational in 2026

Second EAF operational in 2036

Meat

0.7%

-0.7%

Methanol

See exogenous Methanex pathway below

Same as Steady

Non-Metallic Mineral Product Manufacturing

0%

-1.0%

Mining

1.2%

0%

Other

-0.1%

Same as Steady

Food and Beverage

-1.7%

1.7%

Chemicals (excl. Urea and Methanol)

0%

Same as Steady

Urea

May reduce endogenously

Same as Steady

Wood Products

-1.8%

1.8%

Pulp and Paper

-2.0%

Same as Steady

New industries

No new industries

50 GWh of electricity demand growth per annum

3.2. Specific sectors#

3.2.1. Methanol#

Methanol demand is treated separately from the standard industrial growth-rate method. The base-year Methanol demand in TIMES-NZ is calibrated to 2023 Methanex gas demand using Gas Industry Company (GIC) large-user data together with the base-year feedstock split described in the historic demand methodology.

For future years, we apply an exogenous projection for Methanex demand using the following method:

  1. Annual Methanex gas demand is taken from GIC data for 2024 and 2025.

  2. Demand indices are calculated relative to the 2023 base year.

  3. The 2025 level is carried forward into 2026.

  4. Demand is set to zero from 2027 onward.

This exogenous path is applied in both the Steady and Shift scenarios.

Table 40 Exogenous Methanex demand projections#

Year

Demand (PJ)

Basis

2023

55.49

Base year aligned to 2023 GIC demand

2024

26.97

Observed annual GIC demand

2025

20.50

Observed annual GIC demand

2026

20.50

2025 demand carried forward

2027 and onwards

0

Assumed closure

It is alternatively possible to allow Methanex to close endogenously, based on the model’s marginal cost of natural gas and an assumed cut-off point. This method is not currently implemented.

3.2.2. Urea#

Urea demand is treated differently from most other industrial subsectors. Rather than applying a declining exogenous demand path, TIMES-NZ keeps the demand projection flat and allows production at the Ballance Kapuni site to reduce endogenously if natural gas becomes too scarce or expensive.

This is implemented using a marginal price of 18 NZD/GJ to represent the potential value of lost load for Urea production[2]. If the internal marginal price of natural gas exceeds this level, the model can reduce Urea production rather than continue to consume gas at a higher cost.

This means the Urea sector is not assigned an exogenous closure year in the demand projections. Instead, closure or partial reduction can emerge from modelled gas market conditions.