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Solar geoengineering has been suggested as a temporary measure to buy time for the emissions cuts needed to stabilise global temperatures.

These arguments have generally considered geoengineering as an independent component of the “toolbox” of options for climate change mitigation.

However, this perspective overlooks the knock-on effects that pursuing solar geoengineering could have on reaching net-zero.

The idea of solar geoengineering is to reduce global temperatures by reflecting more of the sun’s incoming radiation away from the Earth’s surface. One of the most talked-about approaches is stratospheric aerosol injection (SAI), which involves the injection of aerosols in an upper layer of the atmosphere.

In a pair of studies, published in Earth System Dynamics and Earth’s Future, we explore the potential impact that deploying SAI could have on the potential to generate wind and solar energy.

Our findings show that SAI could slow decarbonisation efforts by reducing the output of these energy systems. In this way, solar geoengineering could create an additional challenge to reaching net-zero, thus creating further obstacles for avoiding dangerous warming.

Buying time with temporary geoengineering

One of the criticisms of solar geoengineering is that its pursuit could obstruct or discourage ongoing and future efforts to cut emissions, sometimes referred to as mitigation deterrence. While the evidence of this is limited, what about the technological implications that could constrain efforts to reduce emissions?

To tackle this question, we have undertaken two studies into how SAI could affect the potential for solar and wind energy – key renewable sources in the transition to net-zero.

Our experiments focus on a scenario where SAI is used to bring global temperatures down from a very high-warming pathway (SSP5-8.5) that represents a failure of climate policy – to a moderate-warming pathway broadly in line with current policies (SSP2-4.5).

We compare the scenarios in the last decade of the simulations, the 2090s, where the signal of human-caused climate change is strongest.

The chart below illustrates the absolute warming levels for these pathways – showing climate model simulations for the moderate (grey lines), high (black) and SAI (red). The red bar shows the decade of interest at the end of the 21st century.

Under these pathways, end of century warming would be 2.2C lower in the SAI scenario than under high warming.

Global average absolute temperature for the three pathways used in the studies – moderate (grey), high (black) and SAI (red). Thin lines show individual simulations from the six climate models and the bold line shows the average across the models. Credit: Baur et al. (2024)
Global average absolute temperature for the three pathways used in the studies – moderate (grey), high (black) and SAI (red). Thin lines show individual simulations from the six climate models and the bold line shows the average across the models. Credit: Baur et al. (2024)

We focus on three different dimensions that help determine renewable energy potential and calculate these for each grid cell and each timestep of our simulations:

  1. A politico-economic dimension that assesses suitability based on land cover, regulatory restrictions and distance to population.
  2. The physical entity that represents the unconstrained energy resource, such as radiation, wind speed and temperature. 
  3. The technical aspects related to conversion losses from turning energy from the sun or wind into electricity. This depends on characteristics related to solar panels or wind turbines and the density of their placement in a wind or solar farm.

These dimensions, and their interactions, are illustrated in the figure below, divided between politico-economic (green), technical (blue) and physical (purple).

Schematic of the wind renewable energy potential calculation with the three dimensions: politico-economic (green), technical (blue) and physical (purple). Credit: Susanne Baur
Schematic of the wind renewable energy potential calculation with the three dimensions: politico-economic (green), technical (blue) and physical (purple). Credit: Susanne Baur

Extended periods of low solar

Our results indicate that the potential for solar energy, whether compared to a moderate emissions scenario or the high emissions baseline, would be reduced in almost all parts of the world if SAI is used.

The maps below show the increase (green shading) and decrease (purple) in solar energy potential in the SAI scenario relative to the moderate (left) and high (right) warming scenarios.

We find typically larger differences under moderate warming than high warming because solar energy potential is larger in a world where global temperatures are not raised as high. Solar panel efficiency is reduced substantially in a much-warmer world.

Geographically, the largest relative reductions are in the mid-to-high latitudes. (This is due to solar geometry, which dictates that the sun’s rays arrive at a lower angle for higher latitudes, meaning they have to pass through more aerosol particles on their way to the surface.)

However, perhaps even more importantly, using SAI enhances the frequency of extended periods with low solar potential.

Relative difference in solar energy potential between the SAI scenario and the moderate (left) and high (right) scenario. Shading shows increases (green) and decreases (purple). Light grey areas are considered suitable for wind/solar renewable energy deployment, but show insignificant change. Credit: Baur et al. (2024)
Relative difference in solar energy potential between the SAI scenario and the moderate (left) and high (right) scenario. Shading shows increases (green) and decreases (purple). Light grey areas are considered suitable for wind/solar renewable energy deployment, but show insignificant change. Credit: Baur et al. (2024)

As the principle of SAI is to reduce incoming solar radiation, a fall in solar energy potential is to be expected.

Yet, there are actually two impacts of SAI that favour solar power: a thinning of tropical clouds, which compensates for some of the direct reduction of incoming sunlight, and lower ambient temperatures compared to the high-warming scenario, which benefit the efficiency of solar panels.

However, neither of these two impacts outweighs the overall reduction in solar power potential.

SAI may also affect how solar panels are positioned. Typically, panels are tilted to maximise the amount of direct radiation reaching the panels surface. However, under SAI, we find that radiation reaching the panels is less direct and increasingly diffuse. Therefore, tilting solar panels may become less useful.

Regional reductions in wind potential

Our findings suggest that changes in on- and offshore wind potential under SAI can be of a similar magnitude to those for solar, but whether the impact causes an increase or decrease in energy potential is highly variable depending on the location and season.

Overall, these changes lead to a negligible global impact on wind potential, but the regional charges can still be significant – with particular reductions in China and central Asia, along with Mexico, western US and many parts of the southern hemisphere.

This is shown in the maps below, which illustrate the increase (green) and decrease (purple) in offshore wind energy potential in the SAI scenario relative to the moderate (left) and high (right) warming scenarios.

Relative difference in offshore wind energy potential between the SAI scenario and the moderate (left) and high (right) scenario. Shading shows increases (green) and decreases (purple). Light grey areas are considered suitable for wind/solar renewable energy deployment, but show insignificant change. Credit: Modified from Baur et al. (2024)
Relative difference in offshore wind energy potential between the SAI scenario and the moderate (left) and high (right) scenario. Shading shows increases (green) and decreases (purple). Light grey areas are considered suitable for wind/solar renewable energy deployment, but show insignificant change. Credit: Modified from Baur et al. (2024)

The changes in wind potential under SAI are caused by changes in large-scale atmospheric circulation – mainly a result of the heat absorbed by the injected aerosols.

The impact on wind potential is more nuanced than for solar. For example, there is a general long-term slowing of surface winds under SAI. (This has also been observed in simulations using a different climate model from the one used in our study.)

However, due to the delicate range of wind speeds where wind turbines operate, slower winds can actually lead to either an increase or a decrease in potential.

Of course, changes in wind energy potential are only realised if the areas are actually exploited for wind energy. However, the large regional changes in wind potential may imply that a different strategy would be needed for siting windfarms in order to maximise the energy produced. However, this would cause problems later down the line if SAI is intended as a temporary measure.

Implications for decarbonisation

With a reduced potential for wind and solar when using SAI, there is a risk that deploying SAI would actually lead to a slowing of decarbonisation.

This, in turn, implies that solar geoengineering would need to be deployed for even longer – unless the gap could be met with higher amounts of carbon dioxide removal. Other research has found that, once started, geoengineering would be required for multiple centuries.

Such knock-on impacts put the concept of using geoengineering to “buy time” for climate change mitigation into question.

In fact, because of the reduced output of renewables under SAI, relatively more renewable capacity would need to be installed just to produce the same amount of energy as without SAI.

At the same time, renewable technology may also need to be adapted to SAI circulation and radiation conditions for optimal energy production. This could include adjusting the tilt of solar panels and adapting windfarm placement strategy and wind turbine characteristics.

The substantial impact geoengineering could have on mitigation – and vice versa – highlights the importance of considering such couplings when moving towards more comprehensive assessments of climate geoengineering.

The post Guest post: How solar geoengineering could disrupt wind and solar power appeared first on Carbon Brief.

Guest post: How solar geoengineering could disrupt wind and solar power

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Climate Change

COP17: Key outcomes agreed at the UN biodiversity conference in Yerevan

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Countries have completed the first “global review” of their progress towards reversing nature loss by 2030 at the COP17 biodiversity talks in Yerevan, Armenia.

The review “notes with deep concern” that, unless action is “rapidly accelerated”, the goal to reverse nature loss and meet a set of 23 targets by 2030 “will not be achieved”.

It “urges” countries to accelerate action, including by “increased ambition in addressing the gaps”.

Much of the discussions in Yerevan focused on how to raise the necessary funds to help developing countries protect nature.

Some major economies pushed to expand the range of nations that are expected to provide finance, with countries agreeing at the end of the two weeks of talks that non-donors that want to contribute can “signal interest” before COP18.

This came after developed countries failed to meet a target to significantly ramp up nature finance over the last few years.

It also came as a landmark fund agreed at COP16 in Colombia to pay communities for the genetic resources derived from nature stands nearly empty two years on.

The Yerevan talks marked the halfway point of the “Kunming-Montreal Global Biodiversity Framework” (GBF), the “Paris Agreement for nature” first made in 2022 and due to be achieved by 2030.

During the nearly 12-hour-long final plenary, countries voted for Quito, Ecuador, to host the COP18 nature talks, which will be held in 2028.

Countries managed to sign off on all the major negotiation texts, marking a stark contrast to COP16, which ran so far over time that the Colombian presidency lost “quorum”, forcing talks to resume in Rome months later. 

Below, Carbon Brief has detailed analysis of all of the key outcomes from COP17.

Formal negotiations

Finance

Finance, predictably, was at the heart of the discord and deadlock at the Yerevan talks.

At COP17, discussions on finance had to achieve several outcomes.

The first part – to take stock of biodiversity finance mobilised so far to meet the nature deal’s goals – fell under the global review.

As the global report noted, developed countries failed to meet their commitments to raise “at least $20bn a year by 2025” for nature. Delegates pointed to falling aid levels and a sharp 27% decline in environmental funding for the 2026-30 period.

The second part was to agree on how to mobilise resources for the next four years, to meet the GBF’s goals and targets.

Calls to “broaden the contributor base” of who pays to protect nature – and whether that should include emerging economies – became the most fraught element of the talks.

Eventually, countries agreed on what Switzerland described as a “super, mega-delicate” text. It hinged on major “political compromises”, with “no major winner or loser”, according to Kenya. 

Per the decision, countries that want to be included on a list of developed country donors can “signal interest” through bilateral, confidential consultations before COP18 and every alternate COP after.

Finally, countries also agreed on criteria to shape and resource a new, permanent financial mechanism to protect nature after 2030.

However, this did not immediately take the form of a new fund under the COP that biodiverse countries have demanded since 2022, deferring the mechanism’s institutional structure to COP18.

Resource mobilisation discussions at the GBF’s halfway mark were supposed to agree on how to close the “biodiversity finance gap” and to “increase resources from all sources” to “at least” $200bn per year by 2030, as set out in target 19 of the GBF.

The talks were largely dominated by a push, led by the JUSCANZ bloc of developed countries, to “broaden the contributor base”. This could see emerging economies, such as Qatar, China, Saudi Arabia and India, being added to the list of countries that pay to protect nature.

BlueSky post by Aruna Chandrasekhar (@arunacsekhar.bsky.social): "COP17 was supposed to be a nature finance stocktake, ramping contributions to "at least $30bn/yr" and sketching the bones of post-2030 nature funding. "Broadening the contributor base" was an outlier, appearing exactly once in the COP16 decision. Now it's the headliner."

Article 20 of the UN Convention on Biological Diversity (CBD) states that developed countries “shall provide new and additional financial resources” to developing countries to meet the costs of implementing measures to protect nature. 

The second paragraph of Article 20 of the UN biodiversity convention. The text says: "The developed country Parties shall provide new and additional financial resources to enable developing country Parties to meet the agreed full incremental costs to them of implementing measures which fulfil the obligations of this Convention and to benefit from its provisions and which costs are agreed between a developing country Party and the institutional structure referred to in Article 21, in accordance with policy, strategy, programme priorities and eligibility criteria and an indicative list of incremental costs established by the Conference of the Parties. Other Parties, including countries undergoing the process of transition to a market economy, may voluntarily assume the obligations of the developed country Parties. For the purpose of this Article, the Conference of the Parties, shall at its first meeting establish a list of developed country Parties and other Parties which voluntarily assume the obligations of the developed country Parties. The Conference of the Parties shall periodically review and if necessary amend the list. Contributions from other countries and sources on a voluntary basis would also be encouraged. The implementation of these commitments shall take into account the need for adequacy, predictability and timely flow of funds and the importance of burden-sharing among the contributing Parties included in the list."
The second paragraph of Article 20 of the UN biodiversity convention. Source: UN CBD

The text states that other countries – including emerging economies – may “voluntarily assume” these obligations to pay. However, it adds that this list of developed countries “shall” be reviewed periodically and amended “if necessary”.

The list was last amended in 2006.

(See this “jargon buster” which explains the specific meaning and legal weight of various terms and verbs used in UN formal documents.)

Discussions around this fraught subject had reached a dead end at intersessional talks this year, but resurfaced in Yerevan.

The first “non-paper” had four different options for expanding the contributor base. These ranged from using the World Bank’s country income groups “as a proxy” to identify high-income countries, to commissioning a study on the impacts of being included on the list.

By 21 October, the number of options swelled to eight, including two from Saudi Arabia and one from Peru.

Some countries “expressed concern” tha