India Data Center Review 2026 — India's most comprehensive infrastructure analysis to support the A.I. era. 250+ pages, 14 chapters, 100+ illustrations, free to download.
Read NowIndia Data Center Review 2026 — India's most comprehensive infrastructure analysis to support the A.I. era. 250+ pages, 14 chapters, 100+ illustrations, free to download.
Read NowChandigarh is a Union Territory within India's Northern Regional (NR) grid, serving as the shared capital of Punjab and Haryana. Its electricity system is structurally distinct from most Indian states: it is a compact urban consumer with no significant indigenous conventional generation base, drawing supply through the NR grid pool. The headline figure as of 2026-06-01 is a 100.0% RE share in the current generation mix slice — an unusually high reading that reflects the UT's dependence on grid-allocated renewable power rather than in-house fossil-fuel capacity. Carbon intensity averaged 45.0 gCO2/kWh over the recent ~48h window, among the lower readings observable in the NR zone, consistent with a predominantly renewable supply stack. Peak deficit at the p95 level stands at 0.0%, indicating no measurable supply shortfall in recent daily POSOCO data. The UT's small geographic and load footprint means grid-level transmission constraints and DISCOM economics are the primary operational variables, though several key metrics — open-access charges, AT&C losses, and real-time demand telemetry — are not yet integrated into this snapshot.
Real-time demand telemetry (latest_demand_mw) is not available for Chandigarh; no live SLDC feed has been integrated for the UT. Supply-side data is available: the generation mix as of 2026-06-01T02:00 shows 100.0% of the current slice attributed to renewable energy sources, indicating that no conventional thermal or large hydro dispatch was recorded in that hourly observation. The recent ~48h window delta for RE share is +94.6 percentage points — meaning that at the start of the ~48h window (around 2026-05-30T02:30), RE penetration was substantially lower, and it rose sharply to the current 100.0% reading. This is a short-window delta and should not be read as a structural multi-year trend. Peak deficit at the p95 level across the recent daily POSOCO PSP series is 0.0%, indicating that at the 95th percentile of peak shortage relative to peak demand, Chandigarh recorded no deficit. This is consistent with a UT that draws from a centrally allocated pool rather than managing generation assets directly. Transmission ATC and TTC data are not yet available for Chandigarh in the Atlas system, limiting visibility into corridor-level headroom for power import.
At the latest hourly slice (2026-06-01T02:00), 100.0% of Chandigarh's observed generation mix is attributable to renewable energy. The recent ~48h window delta of +94.6 pp indicates a pronounced upward movement in RE share across that short observation period; directionally positive, but this is a 48h snapshot and cannot be extrapolated as a long-run penetration trend. A multi-year demand CAGR and long-term RE growth aggregator are not yet integrated into the Atlas system, so structural trajectory assessment is not possible from available data. Average carbon intensity over the ~48h window stands at 45.0 gCO2/kWh — low relative to the Indian grid average, reflecting the high renewable allocation in the current supply stack. RPO compliance data is not yet integrated (no SERC report ingested for Chandigarh); therefore, whether the UT is meeting its statutory renewable purchase obligations cannot be assessed from this snapshot. The transition posture, based solely on available metrics, appears favourable in the immediate window: zero peak deficit, high RE share, and low carbon intensity. However, without AT&C loss data, residential tariff data, or RPO tracking, a complete transition health assessment is not possible.
Chandigarh's DISCOM financial and operational health is materially underrepresented in this snapshot due to multiple data gaps. AT&C losses (the primary efficiency metric for distribution utilities) are not available — no rows exist in the Atlas DISCOM loss database for the UT. Open-access charge stack (CSS, wheeling, transmission, and loss charges at HT voltage) is also unavailable; the relevant Atlas endpoint has not returned data for Chandigarh, limiting the ability to assess the cost signal facing captive and open-access consumers. What is observable: the p95 peak deficit is 0.0%, suggesting that the UT's DISCOM is procuring adequate power to meet peak demand without recorded shortfall in the POSOCO daily series. Active incentive and subsidy scheme counts are not yet integrated (IEA-59 pending). Residential tariff data requires an Atlas API key not yet provisioned. In aggregate, reliability as proxied by peak deficit appears intact, but DISCOM efficiency, cost-of-supply, and cross-subsidy structure cannot be assessed from currently available data.
Over the 1–3 year horizon, Chandigarh's two most concrete observable strengths are a 0.0% p95 peak deficit and 45.0 gCO2/kWh average carbon intensity — both indicating a reliable, low-carbon supply position in the near term. The 100.0% RE share in the current slice is a positive directional signal, though it reflects a single hourly observation in a grid-allocated supply context rather than confirmed installed capacity. The primary analytical constraint is data availability: AT&C losses, open-access charges, residential tariffs, RPO compliance, and multi-year demand growth are all ungapped. Until these are integrated, investment sizing, DISCOM reform prioritisation, and tariff adequacy assessments cannot be grounded in this dataset. The UT's compact urban profile and dependence on NR grid allocations mean its energy outlook is heavily conditioned by NR-level renewable addition and transmission infrastructure decisions rather than in-state capacity planning. Monitoring RE share stability across longer windows and establishing AT&C loss and RPO baselines are the near-term analytical priorities.
