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 NowDadra & Nagar Haveli and Daman & Diu (DH) is a small Union Territory embedded within the Western Regional grid (IEX WR zone). Its electricity administration is handled centrally rather than through a state utility commission, distinguishing it structurally from neighboring Gujarat and Maharashtra. The UT's industrial corridor — concentrated around Silvassa — drives a demand profile that is disproportionately industrial relative to its geographic size. The single confirmable metric at this time is an average carbon intensity of 0.0 gCO2/kWh recorded as of 2026-06-01T02:00 UTC, which almost certainly reflects a data-pipeline artifact (zero fuel-mix totals at the latest timestamp) rather than a genuine zero-emission outcome. All remaining quantitative metrics — RE share, peak deficit, demand, open-access charges, AT&C losses, and tariffs — are currently unavailable from the Atlas data layer. This snapshot is therefore primarily a data-quality baseline and a framework for what a complete assessment requires.
Live generation and demand data for DH are not available in the current Atlas integration. The fuel-mix feed returned zero totals at the latest timestamp, making RE share, generation-source breakdown, and RE share delta over the recent ~48h window all non-computable. No SLDC real-time telemetry feed is active for this UT, so latest demand in MW cannot be stated. Peak deficit data from POSOCO PSP contains no rows for DH, meaning neither a point estimate nor a p95 distribution of peak shortage-to-demand ratio can be cited. The UT is fully integrated into the Western Regional grid operated by WRLDC and draws supplemental power from the central pool and merchant market, but the specific quantum of scheduled drawl versus local generation is not resolvable from available feeds. Until fuel-mix totals return non-zero values and SLDC telemetry is provisioned, demand-supply balance for DH cannot be characterized quantitatively. Analysts relying on this snapshot should treat the demand-supply section as a declared data gap pending pipeline remediation.
RE share for DH cannot be stated: fuel-mix totals were zero at the latest Atlas timestamp, preventing computation of both the point-in-time RE share and the recent ~48h window delta. The sole available energy-quality metric is average carbon intensity, recorded at 0.0 gCO2/kWh as of 2026-06-01T02:00 UTC. This value is almost certainly a pipeline artifact coinciding with the zero fuel-mix totals rather than a genuine emissions-free supply position; it should not be interpreted as evidence of high RE penetration. Long-term RE trajectory cannot be assessed: multi-year demand CAGR data is not yet exposed by the Atlas aggregator (only the ~48h real-time window is available), so no CAGR-anchored RE growth context can be provided. RPO compliance data is also unavailable — no SERC report has been ingested for this UT (IEA-58 open). Until fuel-mix feeds are corrected and RPO data is ingested, the UT's transition posture cannot be evaluated against either its own recent directionality or regulatory targets.
Electricity distribution in DH is managed by the UT administration rather than a conventional DISCOM utility, which limits the applicability of standard DISCOM health metrics. AT&C loss data is unavailable: no rows exist in the Atlas DISCOM AT&C losses table for this UT (IEA-57 gap). Open-access charge stack (CSS, wheeling, transmission, losses at HT voltage) is also unavailable — the Atlas OA endpoint returns no data for DH. Peak deficit p95, which would serve as a reliability proxy, similarly has no POSOCO PSP rows for this UT. With three of three DISCOM-health proxy metrics absent, no quantitative characterization of distribution efficiency, cost recovery, or reliability can be made. The industrial density of the Silvassa corridor suggests OA transactions may be material to the local supply stack, but the charge quantum is unconfirmed. Tariff data requires an Atlas API key not yet provisioned, adding a fourth gap. This section requires full pipeline remediation before any investment or policy assessment of DISCOM health is possible.
With the current data availability, a metric-grounded 1–3 year outlook cannot be responsibly constructed for DH. The one confirmed data point — average carbon intensity of 0.0 gCO2/kWh as of 2026-06-01T02:00 UTC — is a pipeline artifact, not an operational signal. The immediate priority for any analyst, investor, or policy advisor engaging with this UT should be data remediation: resolving the zero fuel-mix totals, activating SLDC telemetry, ingesting POSOCO PSP rows, provisioning the Atlas tariff API key, and completing the IEA-58 RPO and IEA-57 AT&C ingestion. Once those feeds are operational, the UT's industrial load profile and WR zone positioning make it a candidate for analysis of open-access market participation, RE procurement obligations, and central-pool drawl optimization. No forward recommendations on capacity addition, tariff reform, or RE target-setting can be responsibly anchored to the present data state.
