Poster's note : photovoltaics are overwhelmingly the larger sector, notably
they are relatively unaffected

http://eprints.whiterose.ac.uk/112809/

Impacts of stratospheric sulfate geoengineering on global solar
photovoltaic and concentrating solar power resource

Smith, CJ  <http://orcid.org/0000-0003-0599-4633>, Crook, JA
<http://orcid.org/0000-0003-1724-1479>, Crook, R et al. (3 more authors)
(2017) *Impacts of stratospheric sulfate geoengineering on global solar
photovoltaic and concentrating solar power resource.*Journal of Applied
Meteorology and Climatology. ISSN 1558-8432 (In Press)
Abstract

In recent years, the idea of geoengineering, artificially modifying the
climate to reduce global temperatures, has received increasing attention
due to the lack of progress in reducing global greenhouse gas emissions.
Stratospheric sulfate injection (SSI) is a geoengineering method proposed
to reduce planetary warming by reflecting a proportion of solar radiation
back into space that would otherwise warm the surface and lower atmosphere.
We analyze results from the HadGEM2-CCS climate model with stratospheric
emissions of 10 Tg yr-1 of SO2, designed to offset global temperature rise
by around 1°C. A reduction in concentrating solar power (CSP) output of
5.9% on average over land is shown under SSI compared to a baseline future
climate change scenario (RCP4.5) due to a decrease in direct radiation.
Solar photovoltaic (PV) energy is generally less affected as it can use
diffuse radiation, which increases under SSI, at the expense of direct
radiation. Our results from HadGEM2-CCS are compared to the GEOSCCM
chemistry-climate model from the Geoengineering Model Intercomparison
Project (GeoMIP), with 5 Tg yr-1 emission of SO2. In many regions, the
differences predicted in solar energy output between the SSI and RCP4.5
simulations are robust, as the sign of the changes for both the HadGEM2-CCS
and GEOSCCM models agree. Furthermore, the sign of the total and direct
annual mean radiation changes evaluated by HadGEM2-CCS agree with the sign
of the multi-model mean changes of an ensemble of GeoMIP models over the
majority of the world.

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