Every combined-cycle gas turbine plant we can identify, with its heat-recovery steam generators — and, for US plants, the measured thermal efficiency and CO₂-intensity (EPA CEMS, not modelled). Five views below: fleet capacity, age & retirement, measured efficiency vs age, HRSG configuration vs efficiency, measured CO₂-intensity, and turbine-class generations.
Top 15 countries by installed combined-cycle capacity (WRI + GEM). The US and China dominate; gas-heavy economies follow.
Commissioning by decade. Most capacity was built in the 2000s–2010s and is entering the 20–30-year window where HRSG re-tubing, repowering or retirement is decided — the IEA/GEM-flagged decarbonisation pressure point. Bars past 2020 include announced & under-construction units.
Median measured net thermal efficiency of US combined-cycle plants by build decade — the climb from ~45% (1990s F-class) toward ~55–60% (2010s+ H-class). This is metered (heat input ÷ generation), not modelled. Efficiency × age is what sets the fuel-and-CO₂ prize from repowering.
How HRSG design choices map to real efficiency. Duct-firing trades peak output for lower average efficiency; multi-pressure HRSGs (more units) tend to recover more heat. Medians over US plants with both attributes.
Of 458 matched US plants, 319 run duct-fired HRSGs and 82 can bypass their HRSG for simple-cycle operation.
Median measured CO₂ output rate (kg per MWh, EPA CEMS) by build decade — newer, more-efficient plants emit less per unit. Right: measured efficiency by utilisation band — baseload plants run near design efficiency; peakers, cycling more, sit lower.
Among the 519 plants with disclosed turbine models (~18% of fleet — the disclosed subset, not the full market): the maker split, and the gas-turbine technology generation (H/J = newest & most efficient → E/legacy = oldest; indicative model→class mapping). Right: lifecycle status of the whole fleet.
| # | Plant | Country | MW | HRSG | Year | Meas. eff % |
|---|---|---|---|---|---|---|
| 1 | Millenium power station | Vietnam | 9,600 | 2 | 2027 | — |
| 2 | Surgutskaya GRES-2 | Russia | 8,865 | 2 | 1979 | — |
| 3 | Al-Nuwaiseeb power plant | Kuwait | 7,200 | 2 | 2028 | — |
| 4 | Fermi America Project Matador power station | United States | 6,000 | 5 | 2026 | — |
| 5 | Ca Na power station | Vietnam | 6,000 | 4 | 2026 | — |
| 6 | My Giang power station | Vietnam | 6,000 | 4 | — | — |
| 7 | Az Zour South CCGT | Kuwait | 5,805 | 5 | 1987 | — |
| 8 | CHP-23 | Russia | 5,690 | 2 | 1966 | — |
| 9 | Sabiya | Kuwait | 5,366 | 5 | 1998 | — |
| 10 | Perm GRES power station | Russia | 5,063 | 1 | 1986 | — |
| 11 | Futtsu | Japan | 5,040 | 21 | 1985 | — |
| 12 | Shuweihat S1 | United Arab Emirates | 4,889 | 2 | 2005 | — |
| 13 | Higashi Niigata | Japan | 4,810 | 4 | 1972 | — |
| 14 | EDC Combined Cycle power station | Cambodia | 4,800 | 4 | — | — |
| 15 | Beni Suef power plant | Egypt | 4,800 | 4 | 2017 | — |
| 16 | Burullus power plant | Egypt | 4,800 | 4 | 2018 | — |
| 17 | New Capital power station | Egypt | 4,800 | 4 | 2018 | — |
| 18 | Batubara power station | Indonesia | 4,800 | 6 | 2024 | — |
| 19 | Besmaya power station | Iraq | 4,800 | 6 | 2017 | — |
| 20 | Thanh Hoa Power Station | Vietnam | 4,800 | 6 | — | — |
| 21 | LNG Nghi Son power station | Vietnam | 4,700 | 6 | 2031 | — |
| 22 | Thai Binh Combined Cycle power station | Vietnam | 4,500 | 6 | 2028 | — |
| 23 | Tien Lang power station | Vietnam | 4,500 | 6 | — | — |
| 24 | Kashima | Japan | 4,400 | 3 | 2020 | — |
| 25 | Bang Pakong | Thailand | 4,384 | 3 | 1992 | — |
| 26 | West County Energy Center | United States | 4,263 | 3 | 2009 | 52.4 |
| 27 | GHAZLAN | Saudi Arabia | 4,256 | 2 | 2003 | — |
| 28 | Hajr for Electricity Production Co. Station | Saudi Arabia | 4,098 | 6 | 2014 | — |
| 29 | Guangdong Shajiao power complex | China | 3,970 | 2 | 1992 | — |
| 30 | Chita | Japan | 3,966 | 2 | 1968 | — |
Top 30 of 2,813. Full table — all 32 fields incl. measured efficiency, CO₂-intensity, capacity factor, HRSG config — in the CSV.
co2_basis) — secondary, do not treat as measured.Dataset metadata (indexed by Google Dataset Search) and a machine-readable CSV — suitable for university library guides, energy-systems modelling and research reuse.