"... in a world", reads much better in the original PLOS abstract 😄

 For a 67m turbine, the highest regional wind generation change was  for
December-February under G4cdnc in a  world but  under G4 in a  world for
the same period. For a  turbine, the highest change was an increase of  for
August-September under G4cdnc in a  world and a decrease of −4.11% for
December-January under G4 in a  world. Marine Cloud Brightening-based SRM
scenarios (G4cdnc and G4SeaSalt) produce the most consistent spatial
increases in wind power resources and generation compared to Stratospheric
Aerosol Injection (G4).

> ---------- Forwarded message ---------
> De : Geoengineering News <[email protected]>
> Date: dim. 8 juin 2025 à 15:19
> Subject: [geo] The effects of solar radiation modification on solar and
> wind resource and power generation in the Caribbean
> To: geoengineering <[email protected]>
>
>
> https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0325226
>
> *Authors*
> Matthew St. Michael Williams,Leonardo A. Clarke ,Randy Koon Koon,Michael
> A. Taylor,Jayaka D. Campbell,Tannecia S. Stephenson
>
> Published: *June 5, 2025*
>
> https://doi.org/10.1371/journal.pone.0325226
>
> *Abstract*
> The slow pace of global mitigation efforts has led to increased interest
> in Solar Radiation Modification (SRM) as a means for rapidly and
> artificially cooling the planet. Deploying SRM technologies, however, may
> directly alter renewable energy resources. This makes it a concern for
> Caribbean countries which are investing heavily in Variable Renewable
> Energy (VRE) to reduce their reliance on imported energy and meet climate
> change mitigation goals. In this study, solar irradiance output is
> extracted from the HadGEM2-ES global climate model run using the G4
> (Stratospheric Aerosol Injection) SRM scenario from the Geoengineering
> Model Intercomparison Project (GeoMIP). The data is extracted for two
> future time periods corresponding to when global surface temperatures are
> projected to be and above pre-industrial levels using the HadGEM2-ES run
> under the Representative Concentration Pathway 4.5 (RCP4.5) scenario. Wind
> speed data are similarly extracted but for the HadGEM2-ES run using the G4,
> as well as the G4cdnc and G4seasalt (Marine Cloud Brightening) GeoMIP
> scenarios. The solar and wind data are used to evaluate changes in solar
> photovoltaic (PV) and wind farm power generation in the Caribbean in future
> ‘SRM versus non-SRM worlds’. Solar irradiance resources and PV energy
> generation generally decrease under SRM compared to RCP4.5. The highest
> modelled mean change in PV generation across the region is, however,
> generally small, e.g., a maximum change of for May-July for years
> corresponding to a world. In contrast, wind power generation under SRM
> compared to RCP4.5 generally show large increases which are both seasonally
> and SRM technology dependent. For a 67m turbine, the highest regional wind
> generation change was for December-February under G4cdnc in a world but
> under G4 in a world for the same period. For a turbine, the highest change
> was an increase of for August-September under G4cdnc in a world and a
> decrease of −4.11% for December-January under G4 in a world. Marine Cloud
> Brightening-based SRM scenarios (G4cdnc and G4SeaSalt) produce the most
> consistent spatial increases in wind power resources and generation
> compared to Stratospheric Aerosol Injection (G4). The findings of this
> study corroborate and present new findings about potential SRM induced
> changes on the VRE resources considered important for the Caribbean’s
> future development. It is therefore important that the region’s energy
> sector engage in the global discussions underway on the future use of SRM
> as a strategy for limiting future global warming.
>
> *Source: PLOS One*
>
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>

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