Search plants, projects, owners, and states
954.7 MW Natural Gas Fired Combined Cycle (847 MW) + Natural Gas Fired Combustion Turbine (108 MW) operating in Anderson, SC
954.7 MW
Nameplate Capacity
5
Generators
units
Hybrid (2)
Technology
Natural Gas Fired Combined Cycle + Natural Gas Fired Combustion Turbine
2007
Operating Since
Coordinates
34.6022, -82.4350
County
Anderson, SC
Nearby Plants
Forward-looking, asset-specific exposure analytics combining climate hazards, generation variability, and counterparty risk into a single decision-grade view. Powered by InfraRisk.
See the full risk decomposition + scenarios for this asset.
| Field | EIA | GEM | Wikidata |
|---|---|---|---|
| Operator | Duke Energy Carolinas, LLC | Duke Energy Carolinas | — |
| Owner(s) | Duke Energy Carolinas, LLC | Duke Energy | — |
| Status | Operating | — | — |
The W S Lee plant is a 954.7 MW natural gas-fired power plant located in Anderson County, South Carolina. It began operating in 2007 and is owned and operated by Duke Energy Carolinas, LLC, a subsidiary of Duke Energy. The plant is a hybrid facility utilizing both natural gas-fired combined cycle and natural gas-fired combustion turbine technologies, distributed across five generators. It is the fourth-largest power plant in South Carolina out of 13, and ranks 184th nationally out of 945 plants.
The W S Lee plant operates within the Duke Energy Carolinas balancing authority and the SERC NERC region. In the latest year of reported generation data, the plant produced 5,985,959 MWh of electricity, achieving a capacity factor of 71.6%. Financial data indicates a power purchase agreement (PPA) price of $25 per MWh, as reported to FERC.
Generated from EIA, GEM, and public data sources
Grid Region
Southeast
Market
SEEM Participant
NERC Region
SERC — SERC Reliability Corporation
Balancing Authority
Duke Energy Carolinas (DUK)
Grid Voltage
100.0 kV
Regulatory Status
RE — Regulated
Entity Type
Investor-Owned Utility
Sector
Electric Utility
Monthly net generation as reported to EIA-923 — useful for historical context. Confidence varies sharply by fuel type; the band above and the “About this data” button explain the caveats specific to this plant and how InfraSure’s in-house model handles them.
537.8K MWh
Latest Month
6.0M MWh
Annual Generation
71.6%
Capacity Factor
Forward-looking generation outlook with probabilistic ranges across weather, demand, and policy scenarios. Powered by InfraSure's generation modeling stack.
See the full forecast + scenario decomposition for this asset.
CO₂ Intensity
864 lb/MWh
NOx
0.069 lb/MWh
SO₂
0.004 lb/MWh
CH₄
0.016 lb/MWh
N₂O
0.002 lb/MWh
Capacity Factor
71.3%
Annual Net Gen
5961 GWh
CO₂eq
865 lb/MWh
Subregion
SERC Virginia/Carolina
Historic financial signal for this asset — PPA, LCOE, market value where reported. The base for forward bankability and insurance analytics on the InfraSure platform.
Duke Energy Carolinas, LLC · Data from 2019–2025
$25.0/MWh
PPA Price
Forward revenue, DSCR bands, and refinancing risk projected under price, demand, and policy scenarios. Powered by InfraSure's asset cashflow stack.
See the full revenue + DSCR projection for this asset.
This plant's balancing authority participates in the Southeast Energy Exchange Market (SEEM). SEEM is a bilateral exchange — no public nodal pricing.
No wholesale contracts disclosed in FERC EQR for this plant.
FERC EQR captures bilateral wholesale energy + capacity contracts ≥$1M/yr filed quarterly by jurisdictional sellers — covers renewable PPAs, thermal energy sales agreements, capacity contracts, and tolling agreements alike. Many plants don't appear: regulated-utility output flows to ratepayers via cost-of-service rather than bilateral contracts; small projects fall below the filing threshold; tax-equity-financed renewables route offtake to investors not utilities; merchant plants sell into ISO clearing markets without bilateral contracts. News-extracted buyer facts (below) may surface contracts disclosed only through announcements.
Last updated 2026-05-31
View all 10 articlesForward forecasts, scenario decomposition, and risk-decision tooling for this asset.