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More is less with wind and solar

In a landscape saturated with promises of a renewable future, a stark warning emerges from the energy sector: the more wind and solar we build, the less reliable each new unit becomes. Energy Bad Boys cuts through the optimism to highlight a brutal mathematical reality known as diminishing returns, arguing that the grid's ability to count on these resources evaporates as their share of the mix grows. For busy leaders planning for data centers and electric vehicle surges, this isn't just technical nuance—it's a potential infrastructure trap.

The Math of Diminishing Returns

The piece anchors its argument in the concept of "capacity value," a metric that determines how much of a power plant's output a grid operator can actually trust during a crisis. Energy Bad Boys reports, "The more intermittent capacity you add, the less capacity value you get from it." This is not a theoretical concern but a calculated outcome of how grids function. The editors explain that while advocates often brag about high capacity values today, these numbers are deceptive because they "plummet as you add more wind and solar to the grid."

More is less with wind and solar

The logic is straightforward: wind and solar are non-dispatchable and often correlated. When the sun sets across a continent or a "wind drought" hits a region, adding more turbines or panels doesn't fix the outage; it just adds more idle metal. The article notes that "every megawatt of wind and solar added to the system is less reliable than the one before it." This challenges the common assumption that simply scaling up renewable generation automatically scales up reliability.

Critics might argue that this analysis underestimates the role of battery storage and grid interconnectivity, which could smooth out these correlations. However, the piece insists that current modeling shows these solutions have limits, noting that "complementary generation won't always be the case, and there will be times when both resources perform poorly at the same time."

The reality of diminishing returns is lost on—or intentionally obfuscated by—many wind and solar advocates who like to brag about current high capacity values without mentioning the fact that these values plummet as you add more.

Regional Realities and the Thermal Lifeline

The commentary moves from theory to hard data, dissecting reports from major regional transmission operators like MISO, PJM, and ERCOT. The findings are consistent across the map. In the Midcontinent Independent System Operator (MISO) region, the piece highlights a grim forecast: solar capacity values could drop to a mere "0.4 percent for solar in winter" by 2043. Even wind, often touted as more consistent, faces steep declines, with values falling to "8.6 percent for wind in fall" in the same timeframe.

The editors contrast this sharply with traditional power sources, observing that dispatchable thermal resources like natural gas, coal, and nuclear "range from 64 percent to 95 percent in every single season." This disparity forces a difficult conclusion about the future grid mix. As MISO's own assessment is quoted, "dispatchable thermal resources with high accreditation values... are forecast to provide a much larger fraction of the region's total needed accredited capacity compared to wind and solar."

The situation is equally stark in Texas (ERCOT), where the article points out that as solar penetration increases, its effective load-carrying capability drops to the "0—2 percent range." The piece argues that relying on these resources for peak demand is a gamble, stating that "capacity values may not assess the reliability of wind and solar when they are needed most, which can lead to an overreliance on them for meeting peak and net peak demand."

The Strategic Implication

The ultimate takeaway from Energy Bad Boys is a call to preserve existing thermal infrastructure rather than retiring it in favor of unproven reliability metrics. The editors argue that the trend is undeniable: "the more wind and solar are added, the less valuable every additional MW becomes to the grid." They cite the New York ISO, which warns of the "relative ineffectiveness of new solar and wind resources to contribute during periods of reliability risk after a significant amount of capacity has been built."

This framing shifts the debate from environmental ideology to engineering necessity. The piece concludes with a blunt recommendation: "keeping our existing thermal fleet in operation for as long as possible, because they are often the most affordable and reliable power plants on the system." While this stance may clash with aggressive decarbonization timelines, the underlying data on capacity value suggests that ignoring these limits could lead to blackouts when the weather turns.

One complex challenge that needs to be considered beyond 2040 is the relative ineffectiveness of new solar and wind resources to contribute during periods of reliability risk after a significant amount of capacity has been built.

Bottom Line

The strongest part of this argument is its reliance on the internal modeling of grid operators themselves, which reveals a hard ceiling on how much intermittent power a system can absorb before reliability collapses. Its biggest vulnerability is the assumption that storage technology and transmission upgrades will not evolve fast enough to decouple capacity value from weather dependence. The reader should watch for how regional grid planners adjust their reserve margins in the next five years, as this will be the true test of whether the "more is less" thesis holds up in practice.

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More is less with wind and solar

With all the talk about needing to dramatically increase power supplies to meet the growing demand from data centers, as well as for anticipated electric vehicle adoption and other electrification efforts, it’s time to highlight one glaring reality of filling that demand with wind and solar—the reality of diminishing returns.

As in: the more intermittent capacity you add, the less capacity value you get from it. When it comes to wind and solar, more is less.

How it Works.

Electric grids and utilities across the country assign reliability ratings to wind and solar resources—called capacity values—and these values diminish to almost zero as the system adds more wind and solar.

This reality is lost on—or intentionally obfuscated by—many wind and solar advocates who like to brag about current high capacity values for wind and solar without mentioning the fact that these values plummet as you add more wind and solar to the grid.

Before we go into how most major power grids in the country show this diminishing effect, here’s a primer on what capacity values are and how they’re calculated.

What Are Capacity Values?.

The term “capacity value” is defined by the National Renewable Energy Laboratory (NREL) as “the contribution of a power plant to reliably meeting demand. Capacity value is the contribution that a plant makes toward the planning reserve margin…”

Basically, capacity values are percentages of total installed capacity for each energy source that electric grids believe they can reliably count on to meet demand. It reflects the idea that while every energy source has a maximum capacity that it can reach under ideal conditions, not every energy source can reliably perform at these ratings at any given time and when needed.

Grid operators use different methodologies to calculate capacity values, with most choosing some variation of the Effective Load Carrying Capability (ELCC), while the Midcontinent Independent System Operator (MISO) opts for the Direct Loss of Load (DLOL).

However, even though ELCC and DLOL methodologies can vary from region to region with no set-in-stone method to the madness, the basic concepts are fairly similar.

Methodologies.

Capacity value methodologies are typically run using probabilistic hourly models that target a maximum Loss of Load Expectation (LOLE) of.1, which means that the system expects to have a shortfall of capacity.1 days per year or 1 day per 10 years.

From here, there are two ways of going about the analysis, ...