Managing merchant risk in clean power with Lee Taylor (REsurety)
Transmission
A Contrarian View: Depoliticize Clean Energy
Quentin asks for a contrarian take; Lee argues clean energy should not be political and highlights its economic and competitive benefits.
Want the latest news, analysis, and price indices from power markets around the globe - delivered to your inbox, every week?
Sign up for the Weekly Dispatch - Modo Energy’s unmissable newsletter.
https://bit.ly/TheWeeklyDispatch
As more renewable energy connects to the grid, one question keeps coming up: who carries the risk when the wind doesn’t blow, or prices crash? The future of clean power doesn’t just depend on building more generation, it hinges on whether markets can give investors price certainty and revenue stability.
In this episode of Transmission, we explore how risk is traded, priced, and managed in modern power markets. We look at how hedging, PPAs, and virtual power contracts have evolved and why the clean energy transition needs smarter financial tools to scale. Lee Taylor, CEO of REsurety joins Quentin to share how market design, trading strategies, and better risk management can unlock new renewable investment when traditional PPAs fall short.
Key topics covered include:
• Why price volatility makes financing renewables harder and riskier.
• The rise of virtual PPAs and hedging instruments in clean energy.
• How merchant risk and cannibalisation impact renewable project value.
• Why new financial products are essential for scaling renewables globally.
• The future of power market design and investor confidence.
About our guest:
Lee Taylor is the founder and CEO of REsurety, a leader in energy risk management software and hedging solutions that help developers, investors, and offtakers manage revenue risk in power markets. For more information on REsurety, head to their website. https://resurety.com/
Want the latest news, analysis, and price indices from power markets around the globe - delivered to your inbox, every week?
Sign up for the Weekly Dispatch - Modo Energy’s unmissable newsletter.
https://bit.ly/TheWeeklyDispatch
As more renewable energy connects to the grid, one question keeps coming up: who carries the risk when the wind doesn’t blow, or prices crash? The future of clean power doesn’t just depend on building more generation, it hinges on whether markets can give investors price certainty and revenue stability.
In this episode of Transmission, we explore how risk is traded, priced, and managed in modern power markets. We look at how hedging, PPAs, and virtual power contracts have evolved and why the clean energy transition needs smarter financial tools to scale. Lee Taylor, CEO of REsurety joins Quentin to share how market design, trading strategies, and better risk management can unlock new renewable investment when traditional PPAs fall short.
Key topics covered include:
• Why price volatility makes financing renewables harder and riskier.
• The rise of virtual PPAs and hedging instruments in clean energy.
• How merchant risk and cannibalisation impact renewable project value.
• Why new financial products are essential for scaling renewables globally.
• The future of power market design and investor confidence.
About our guest:
Lee Taylor is the founder and CEO of REsurety, a leader in energy risk management software and hedging solutions that help developers, investors, and offtakers manage revenue risk in power markets. For more information on REsurety, head to their website https://resurety.com/
About Modo Energy:
Modo Energy helps the owners, operators, builders, and financiers of battery energy storage solutions understand the market - and make the most out of their assets.
All of our interviews are available to watch or listen to on the Modo Energy site. To keep up with all of our latest updates, research, analysis, videos, conversations, data visualizations, live events, and more, follow us on LinkedIn. Check out The Energy Academy, our bite-sized video series breaking down how power markets work.
The AI-powered Podcast Player
