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The popular narrative of ever-cheaper solar is misleading. While the panel itself is deflationary, it's a shrinking part of the total project cost. Inflationary inputs like land, labor, transmission access, and capital costs are now dominant, causing the price of delivered solar electricity (PPAs) to rise since 2020.
Even with cheaper panels, solar and wind face scaling limits. The massive land footprint required (e.g., Ohio + Kentucky for the U.S.) and growing community opposition to large infrastructure projects mean they likely cannot provide 100% of our energy alone.
While solar panels are inexpensive, the total system cost to achieve 100% reliable, 24/7 coverage is massive. These "hidden costs"—enormous battery storage, transmission build-outs, and grid complexity—make the final price of a full solution comparable to nuclear. This is why hyperscalers are actively pursuing nuclear for their data centers.
Two powerful trends are converging: solar panel costs have plummeted, making them cheaper than IKEA furniture for construction, while AI, data centers, and EVs create unprecedented energy demand. This creates a massive opportunity for large-scale solar projects in energy-strained regions like the Philippines.
Base's core thesis is that the shift to solar and battery storage is inevitable not because of ESG trends, but because it represents the lowest marginal cost to add power to the grid. This economic argument is more fundamental and compelling than climate narratives alone.
Over the last 20 years in New England's restructured market, the primary driver of higher consumer electricity bills wasn't the cost of power itself, which fell 50% inflation-adjusted. Instead, the cost of transmission and delivery infrastructure skyrocketed by 900%, fundamentally shifting the composition of consumer bills.
The AI boom is not a universal positive for all energy sources. The need for a resilient, 24/7 power grid for AI data centers increases reliance on stable fossil fuels and battery storage to balance the intermittency of renewables. This dynamic is creating rising costs for pure-play solar and wind producers.
Charts showing plummeting solar and wind production costs are misleading. These technologies often remain uncompetitive without significant government subsidies. Furthermore, the high cost of grid connection and ensuring system reliability means their true all-in expense is far greater than component costs suggest.
The cost of electricity has two components: making it and moving it. Generation ("making") costs are plummeting due to cheap solar. However, transmission ("moving") costs are rising from aging infrastructure. This indicates the biggest area for innovation is in distribution, not generation.
The economic model for renewable energy is the inverse of fossil fuels. While building wind or solar farms requires significant initial capital investment, their ongoing operational costs are minimal. This suggests that as Europe advances its green transition, its long-term energy cost competitiveness will dramatically improve.
As solar panels become cheaper, it's more cost-effective to install additional static panels than to use expensive mechanical trackers that follow the sun. Despite the math favoring static arrays since 2016, trackers persist due to industry inertia and 'cozy oligopolies' in the installation sector.