Newgasturbines

USP&E (United States Power & Equipment / USP&E North America LLC) — A structured, faceted secondary-market gas-turbine inventory and reservation dataset. The live inventory hub indexes every unit by manufacturer, model, commercial condition state (new / used / new-surplus / remanufactured), price in USD, year of manufacture, electrical frequency, fuel type, voltage, and MW rating — with per-facet counts and promoted-versus-regular listing status. Layered on top: (1) a four-state commercial taxonomy buyers must keep separate (factory-new OEM with queue risk, new-surplus, used/remanufactured wi…

Newgasturbines offers (Alternative, Reference, Supply Chain) — Live hub carries 3,000+ MW of listed capacity and a 2,000+ MW framing claim; the observable inventory facet snapshot at time of review was small but granular (three listed turbine units spanning Rolls Royce Titan 130, Siemens SGT-400 and Solar Turbines Trent 60, model years 2016-2019, all 50 Hz natural gas, one priced at USD 10,120,000, with counts per manufacturer/model/condition/frequency/fuel/voltage/MW band). Delivered-project archive is materially larger: 150+ power projects totaling 25,000 MW across 45+ countries over 24+ years. The private diligence stack (title records, inspection reports, operating histories per unit) is the deeper asset and is not sized publicly..

Time-to-power and capacity-availability intelligence for the AI/data-center buildout: which megawatts are physically available now, at what price, and how that shifts month to month is precisely the bottleneck input nobody can currently buy. Also secondary-market price discovery and residual-value modeling by model, year, and condition for lessors, lenders, and insurers; OEM order-book and backlog triangulation (used-market softening versus new-OEM queue stress); asset-retirement and disposition timing for utilities decommissioning thermal plants; forward slot-planning from 2028 modular capacity; diligence-risk and fraud-frequency studies in high-value equipment trading; and O&M effectiveness benchmarking using measured downtime improvement.