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SSCAtlas

Uttarakhand - Energy Transition

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Uttarakhand — Energy Transition Snapshot

Generated 1 May 2026
RE share (latest)
94.1 %
as of 2026-05-01T01:00:00+00:00
RE trend (recent window)
1.76 pp/window
as of 2026-04-29T03:00:00+00:00 -> 2026-05-01T01:00:00+00:00
Peak deficit p95
7.01 %
as of 2026-04-23
Carbon intensity (avg)
70.9 gCO2/kWh
as of 2026-05-01T01:00:00+00:00
Latest demand
Real-time demand telemetry not available for state.
OA charge (HT)
Open-access charges unavailable for state.
Avg residential tariff
Residential tariff: Atlas tariff endpoint requires X-API-Key not yet provisioned for tools-api.
AT&C loss (latest)
DISCOM AT&C losses (UDAY): Atlas endpoint not yet integrated (see IEA-57).
RPO compliance
RPO compliance: state RE policy dataset not yet integrated (see IEA-58).
10-yr demand CAGR
Multi-year demand CAGR: Atlas does not yet expose a long-term aggregator (only ~48h realtime).
Avg DAM price
IEX DAM price: upstream IEX area-prices feed currently empty.

Carbon intensity (recent ~48h)

Generation mix (latest)

Peak deficit history (%)

Overview

Uttarakhand sits within the Northern Regional (NR) grid and is defined by an exceptionally hydro-heavy generation mix. At 94.1% renewable energy share (as of 2026-05-01T01:00:00 UTC), it ranks among the highest RE-penetration states in India—a structural consequence of its Himalayan river system supporting run-of-river and storage hydro projects. That same hydrology creates seasonal concentration risk: generation is highly dependent on snowmelt and monsoon inflows. The state's average carbon intensity over the recent ~48-hour window is 70.9 gCO2/kWh, significantly below the national coal-heavy average, reflecting the near-absence of thermal baseload in the local mix. The headline reliability concern is a peak deficit p95 of 7.0% (POSOCO PSP data as of 2026-04-23), indicating that at the 95th-percentile stress day, peak demand exceeds available supply by roughly 7 percentage points—a material gap for a state with limited dispatchable backup behind its variable hydro output.

Demand & Supply

Live SLDC demand telemetry is not available for Uttarakhand; real-time demand in MW cannot be anchored here. Generation mix context must rely on the fuel-mix timeseries feed. As of the 2026-05-01T01:00:00 UTC hourly slice, renewable sources—overwhelmingly hydro—account for 94.1% of generation. Non-renewable sources contribute the residual 5.9%, likely comprising small allocations from central-sector thermal pooling under the NR grid. Over the recent ~48-hour window (2026-04-29T03:00:00 UTC to 2026-05-01T01:00:00 UTC), RE share moved up by 1.8 percentage points—a positive recent-window delta, though this short window carries no inference about multi-year trajectory. Multi-year demand CAGR data is not yet integrated (Atlas long-term aggregator absent), so structural demand growth cannot be quantified. The peak deficit p95 of 7.0% (daily POSOCO PSP series, 23 data points) is the sharpest reliability signal available: on high-stress days, the state draws significantly on inter-state transfer or faces curtailed peak supply. IEX DAM average price is unavailable—the upstream area-prices feed is currently empty—so marginal procurement cost at peak cannot be assessed.

RE & Transition

At 94.1% RE share (2026-05-01T01:00:00 UTC), Uttarakhand's transition posture is structurally advanced relative to most Indian states, but the composition of that RE share is critical: it is dominated by hydro, which carries different intermittency and climate-vulnerability profiles than solar or wind. The recent ~48-hour window delta of +1.8 percentage points indicates short-term upward movement in RE penetration, but this should not be read as a secular trend—it reflects the ~48-hour operational window only, not a multi-year direction. The absence of a long-term demand-CAGR aggregator in Atlas means the rate at which new load may erode this RE share cannot be assessed from available data. Average carbon intensity over the recent window is 70.9 gCO2/kWh, low by Indian standards and consistent with a near-thermal-free dispatch stack. RPO compliance data is not yet integrated (IEA-58), so whether the state is meeting its Renewable Purchase Obligation—including any wind or solar sub-targets that go beyond hydro—cannot be determined. The transition risk from a fuel-mix standpoint is not decarbonisation per se, but hydrological: a drier hydrological season would compress the 94.1% figure and expose the thin non-renewable backstop.

DISCOM Health

The available proxy for DISCOM cost-of-supply structure is limited. Open-access charge stack (CSS + wheeling + transmission + losses at HT voltage) is not available for Uttarakhand—the Atlas OA endpoint returns no data for this state—so the cost signal for large industrial consumers cannot be benchmarked. AT&C losses are not yet integrated (UDAY dataset, IEA-57), which is the primary DISCOM financial health indicator; no loss percentage can be cited. Residential tariff data is also unavailable—the Atlas tariff endpoint requires an API key not yet provisioned (IEA-59 / tools-api gap). What can be stated: the peak deficit p95 of 7.0% implies that DISCOM supply obligation is under stress on high-demand days, which typically correlates with unscheduled load shedding or costly last-resort procurement. Without AT&C loss and tariff data, a full DISCOM health assessment is not possible from currently integrated sources. IEX DAM price data is also empty, removing the market price reference point.

Outlook

Over a 1–3 year horizon, Uttarakhand's 94.1% RE share and 70.9 gCO2/kWh carbon intensity establish a strong baseline, but the 7.0% peak-deficit p95 is the primary operational vulnerability requiring attention. With no live demand telemetry, no multi-year CAGR, and no DAM price signal available, supply-demand balancing strategy must be inferred indirectly. Priority actions implied by available data: first, closing the peak reliability gap—7.0% p95 deficit suggests the state needs either incremental dispatchable capacity, demand-side management, or firmed inter-state banking arrangements under NR grid protocols. Second, integrating AT&C loss and residential tariff data (IEA-57, IEA-59) is prerequisite to any DISCOM financial assessment; current data architecture is insufficient for a full solvency view. Third, the absence of RPO compliance data (IEA-58) leaves open the question of whether solar and wind sub-obligations are being met beyond hydro—relevant as central RPO norms tighten through 2030. The hydro-dominant mix is a long-run asset contingent on hydrological stability; climate-scenario stress-testing of that 94.1% figure is warranted but not possible from current Atlas feeds.

Data gaps in this brief

  • Transmission ATC: Atlas endpoint not yet integrated (see IEA-56).
  • DISCOM AT&C losses (UDAY): Atlas endpoint not yet integrated (see IEA-57).
  • RPO compliance: state RE policy dataset not yet integrated (see IEA-58).
  • Subsidies / incentives: state catalogue not yet integrated (see IEA-59).
  • Residential tariff: Atlas tariff endpoint requires X-API-Key not yet provisioned for tools-api.
  • Multi-year demand CAGR: Atlas does not yet expose a long-term aggregator (only ~48h realtime).
  • IEX DAM price: upstream IEX area-prices feed currently empty.
  • Transmission ATC: Atlas endpoint not yet integrated (IEA-56).
  • DISCOM AT&C losses (UDAY): Atlas endpoint not yet integrated (IEA-57).
  • RPO compliance: state RE policy dataset not yet integrated (IEA-58).
  • Subsidies / incentives: state catalogue not yet integrated (IEA-59).