Considerations for underwriting gas generation assets and related revenue modelling
AI data centres drive new gas power opportunities as ERCOT case study reveals strong margins despite construction economics favouring M&A over new builds.
1 minute read
Prashant Khorana
Director, Power & Renewables Consulting

Prashant Khorana
Director, Power & Renewables Consulting
Prashant is Director, Data Product Owner – Asset Valuations within Wood Mackenzie's research and data organisation.
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Harry Falcone
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Harry Falcone
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Harry is Senior Consultant in Wood Mackenzie's Power & Renewables, bringing engineering expertise to battery modelling.
View Harry Falcone's full profileAshwin Kumar Balaji
Managing Consultant, Power & Renewables - North America

Ashwin Kumar Balaji
Managing Consultant, Power & Renewables - North America
Ashwin is a Managing Consultant in Wood Mackenzie's Power & Renewables team with seven years' power market expertise.
View Ashwin Kumar Balaji's full profileThe rapid expansion of AI-driven data centres is fundamentally reshaping US power demand, creating new opportunities for natural gas power generation investments. This comprehensive analysis demonstrates Wood Mackenzie's sophisticated analytical capabilities for modelling gas-to-power operations and profitability in today's evolving energy landscape.
Proof of concept: ERCOT Houston case study
Using detailed case study of a 605 MW combustion turbine plant in ERCOT Houston as a proof of concept, the report showcases how Wood Mackenzie's fundamental and stochastic modelling techniques can accurately forecast revenue dynamics and assess investment viability. The analysis reveals that whilst spark spreads show a strong correlation with power prices, revenue forecasting requires far more nuanced optimisation considering multiple vairables including:
- Start-up costs
- Variable O&M expenses
- Transmission constraints
Market fundamentals drive positive outlook
Key findings indicate that power demand in ERCOT Houston will outpace supply growth, driving price appreciation and creating favourable conditions for gas generators. The modelled asset demonstrates strong projected gross margins with healthy unlevered and levered IRRs above the expected weighted average cost of capital. Despite positive fundamentals, the analysis highlights notable risks, with gross margin at risk representing a substantial portion of projected margins throughout the forecast period.
Market entry strategies and revenue innovation
The report also addresses critical market realities, including the stark economics preventing new construction – with capital costs significantly exceeding M&A transaction values – making acquisitions the primary viable market entry strategy. Additionally, the analysis explores innovative revenue streams for smaller generators, including Virtual Load Ratio Hedges that help commercial customers manage transmission costs.
Wood Mackenzie's analytical framework
This resource provides energy investors, lenders, and operators with Wood Mackenzie's proven analytical framework for navigating the complexities of gas generation asset valuation in an increasingly dynamic power marker driven by AI and data centre growth.
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