Indonesia Data Center Electricity Demand 2026–2035

Research-grade transparent sensitivity model, separating pre-existing facilities, future construction and speculative development. This is not a verified national AI GPU load forecast.

Evidence boundary: ~580 MW published as estimated existing national data-center capacity, but its measurement basis (facility or IT load) is unverified. Cohort increments below are analytical scenario assumptions, not additional public commitments. The 1.3 GW prospective investment pipeline is a separate published reference and is not mechanically added to avoid double-counting.

ScenarioIT share of reported baseline MWPUEIT utilizationGrid emission factor, tCO₂/MWhZero-emission matched share

2035 modeled IT load

2035 annual demand

2035 peak facility MW

2035 modeled emissions

Electricity demand trajectories

GWh per year; scenario curves use their own preset assumptions. Editing inputs changes the selected scenario only.

Selected scenario — annual components

Year	Existing IT MW	Construction IT MW	Speculative IT MW	Peak facility MW	Electricity GWh	MtCO₂

PLN RUPTL 2025–2034 context

Generation/storage planned addition

69.5 GW

Renewable/new energy and storage component

52.9 GW

Planned transmission network

47,758 circuit-km

Actual regional available reserve for DCs

Unknown

PLN/ESDM planning targets are not energization dates, firm available power capacity at data center substations, annual renewable generation shares or project-specific power purchase costs.

Risk & investment interpretation

Grid reinforcement financing

Data-center-driven substation, connection and transmission investment cannot credibly be monetized without location-specific peak demand, grid queue, transformer sizing, protection requirements, redundancy and PLN project budgets. This dashboard provides scenario MW demand, not invented rupiah investment totals.

Carbon intensity and procurement

Emission factor and zero-emission matched share are adjustable illustrative assumptions, not a verified 2026–2035 Indonesian grid emissions trajectory. Matching renewable electricity with demand by time and location would require hourly power and contractual evidence. Storage GW in RUPTL is not clean annual energy.

Source baseline: scenario configuration · sumber & metodologi SLI ↗. PLN context: RUPTL 2025–2034 and Transmission plans. Methodological assumptions are explicitly distinguished from official figures.