Natural gas technologies for expanding power generation capacity
Eight technologies, each answering a different constraint — bulk energy, speed to commercial operation, modular growth, fuel efficiency, or emissions. Choosing between them is really a question of which constraint is binding.
Start with the constraint, not the technology
Utility capacity planning has changed shape. For most of the last two decades the binding constraint was the cost of energy, and combined-cycle plants won on efficiency almost by default. Today the binding constraint is usually time — specifically, the 5–7 years a large new load now waits for transmission interconnection across much of North America.
That inverts the ranking. A technology that is eight points less efficient but arrives three years sooner is not a compromise; it is the only option that meets the requirement. The table below is ordered the way a planner actually weighs it: bulk energy first, then speed, then emissions.
The eight technologies
Combined-cycle gas turbine (CCGT)
Bulk firm capacityA gas turbine generates power, then its 500–600 °C exhaust drives a heat-recovery steam generator and a steam turbine for a second round of generation from the same fuel. H-class machines exceed 64% net efficiency, making CCGT the most efficient thermal generation available and the default choice when a utility needs large blocks of firm, dispatchable capacity.
Simple-cycle & aeroderivative turbines
Peaking and reserveA gas turbine without the steam bottoming cycle. Lower efficiency is the trade for speed in both senses: aeroderivative units reach full load in under ten minutes, and they can be permitted and built far faster than a combined-cycle plant. This is the technology utilities add when the constraint is peak hours or reserve margin rather than annual energy.
Reciprocating engine gensets
Modular, incremental capacityBanks of large gas engines rather than one turbine. Efficiency holds at part load where turbines fall away, units reach full load in under five minutes, and capacity arrives in small increments — so a plant can be sized to actual load growth instead of a ten-year forecast. Losing one engine costs a fraction of the plant, not all of it.
Combined heat and power (CHP)
Capacity without proportional fuelNot a separate prime mover but a configuration: capture the thermal energy any of the above rejects and sell it as heat. Total fuel efficiency rises above 90% when the heat has a customer. For capacity expansion this matters because it adds useful energy output without adding fuel input — the cheapest megawatt is the one already being thrown away.
Linear generators
Fuel-flexible, fast-rampingA linear reaction driving a magnet through a coil rather than a crankshaft or turbine — no combustion flame, so the machine runs on natural gas, biogas, ammonia or hydrogen and switches between them without hardware changes. Ramp rates measured in seconds and low NOx without after-treatment make it well suited to campuses that must follow load or respond to grid dispatch signals.
Solid oxide fuel cells (SOFC)
Highest electrical efficiencyElectrochemical conversion rather than combustion, which sidesteps the thermodynamic ceiling that limits engines and turbines — SOFC reaches 51–61% electrical efficiency at modest scale, where a turbine of the same output would manage barely 40%. Near-zero NOx and SOx simplifies air permitting in urban sites, and the high-temperature exhaust is well matched to district-heat export.
Hydrogen-ready turbines
Future-proofing the additionA turbine specified from day one to burn variable natural-gas/hydrogen blends and transition to 100% hydrogen without replacing the machine. Capacity added in 2026 will still be operating in 2060, so the fuel question is really a stranded-asset question. Hydrogen-ready specification costs little now and removes it.
Allam-Fetvedt cycle
Near-zero-emission dispatchableOxy-combustion in a supercritical CO₂ working fluid, which produces a pure, pipeline-ready CO₂ stream as an inherent output rather than a bolt-on capture step. It is the one gas cycle that delivers dispatchable power at near-zero emissions without an efficiency penalty large enough to make capture uneconomic — still first-of-a-kind commercially, but the most credible answer to firm capacity under a net-zero grid mandate.
The option that isn't on the list
Every technology above expands capacity on the supply side. There is a seventh answer that works on the load side, and for a utility facing a queue of gigawatt-scale data-centre requests it is frequently the fastest one available.
Behind-the-meter generation
A 300 MW campus that builds its own generation is a 300 MW load the utility never has to serve. From the utility's side that is indistinguishable from adding 300 MW of capacity — except it arrives in 18–24 months instead of 5–7 years, and the utility spends nothing.
Dispatchable load
AI compute is one of the few large loads that can genuinely shed and restore within seconds. Paired with storage, a campus becomes a resource the utility can call on at peak rather than a burden it has to plan around — releasing existing capacity instead of building new.
Heat export
Recovered 50 °C heat delivered into district energy displaces gas boilers in the buildings it serves. That is thermal demand permanently removed from the system, and it is the reason a data centre can be net additive to a constrained grid rather than net extractive.
How GRECO applies this
GRECO develops energy-first AI campuses in British Columbia and Alberta: on-site generation specified hydrogen-ready from day one, grid-scale storage in both lithium and vanadium-flow chemistries, liquid cooling, and 50 °C recovered heat metered into district energy. The campus arrives powered — so an offtaker leases finished capacity from one counterparty instead of holding a shell that waits years for a grid connection. Every configuration is modelled in a digital twin before anything is ordered.