Power by county
Darlington, SC: data center power outlook
The grid around Darlington, South Carolina is summarized here from public data, starting from the county's position in an area outside an organized wholesale market. Inside Darlington the mapped layer shows 50 mapped substations, with grid access reaching 230 kV at its strongest point. Retail service across Darlington is split among 5 utilities, among them BLACK RIVER ELECTRIC COOP, INC - (SC), DUKE ENERGY CAROLINAS, LLC, DUKE ENERGY PROGRESS - (NC).
Grid position at a glance
- Serving utilities
- BLACK RIVER ELECTRIC COOP, INC - (SC), DUKE ENERGY CAROLINAS, LLC, DUKE ENERGY PROGRESS - (NC), MARLBORO ELECTRIC COOP, INC, PEE DEE ELECTRIC COOP, INC
- ISO / market
- NON_ISO (Not in an organized wholesale market)
- Highest grid access
- 230 kV
- Substations in county
- 50
- Industrial retail rate
- 7.1¢/kWhState-level EIA-861 industrial average. The map colours by this, not by a per-county rate.
- Per-utility rates in county
- 3 of 5 serving utilities: 7.0 to 8.1¢/kWhLowest to highest industrial rate among the utilities serving this county (EIA-861 Sales to Ultimate Customers). A spread, not the county’s rate, and it covers only the serving utilities that report one.
- Interconnection queue
- None on record
- Proposed generation
- 425 MW planned or under constructionUnits filed with EIA as planned or under construction (Form EIA-860M). Declared intent from the federal inventory, not the interconnection queue and not guaranteed capacity.
- Grid carbon intensity
- 482 lb CO2/MWh
- Water withdrawals
- 701 Mgal/dAll uses, freshwater. Water already withdrawn locally, not water available for a new load.
- Construction labor near site
- 44,093 employed in construction within ~120 kmA large build needs hundreds of skilled construction workers on site for one to three years. A county with few of them within commuting range means bussing crews in, per diem, and housing, which is real cost and schedule risk. This counts people employed in construction within about a 120 km drive (BLS QCEW), summed across nearby counties. It is not labor known to be available: most are already committed to other projects, and no public data reveals who is free.
Grid conditions in Darlington
Read on for the public power picture of Darlington in South Carolina, assembled for data center siting. Transmission-class access reaches 230 kV in Darlington at its strongest mapped point. Darlington contains 50 mapped substations, a dense footprint that spreads interconnection options across many points.
There is no organized wholesale market over Darlington, South Carolina; arrangements run through the serving utility instead. Darlington carries the state industrial average retail rate of 7.1 cents per kWh from EIA-861, applied statewide. For Darlington, the per-utility spread is 3 of 5 serving utilities: 7.0 to 8.1¢/kWh, which qualifies but never replaces the state average.
Darlington, South Carolina has nothing in the interconnection queue across the feeds covered here, quiet or uningested. In Darlington, 424.6 MW is filed as planned or under construction in the federal EIA-860M inventory. In eGRID, the balancing authority over Darlington shows 481.506 lb CO2 per MWh.
For Darlington, the USGS 2015 compilation records 700.63 million gallons per day of all-use freshwater withdrawals, not water available to a new load. Darlington sits within commuting range of roughly 44,093 construction workers (BLS QCEW, about 120 km), most already committed elsewhere.
Every figure for Darlington here is screening-grade and describes the county as a whole, not any single parcel within it. None of the figures for Darlington, South Carolina settles a site on its own; each one qualifies the others, and all of them come from public federal and state datasets. Settling a site in Darlington, South Carolina requires a study of the specific parcel, a step beyond the county-level picture drawn here. Sources and data dates for Darlington, South Carolina are logged directly below, so each figure on this page can be traced back to its public dataset.