Cargando…
Constrained future brightening of solar radiation and its implication for China's solar power
As Earth's primary energy source, surface downward solar radiation (R(s)) determines the solar power potential and usage for climate change mitigation. Future projections of R(s) based on climate models have large uncertainties that interfere with the efficient deployment of solar energy to ach...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840459/ https://www.ncbi.nlm.nih.gov/pubmed/36654914 http://dx.doi.org/10.1093/nsr/nwac242 |
_version_ | 1784869648676683776 |
---|---|
author | He, Yanyi Yang, Kun Wild, Martin Wang, Kaicun Tong, Dan Shao, Changkun Zhou, Tianjun |
author_facet | He, Yanyi Yang, Kun Wild, Martin Wang, Kaicun Tong, Dan Shao, Changkun Zhou, Tianjun |
author_sort | He, Yanyi |
collection | PubMed |
description | As Earth's primary energy source, surface downward solar radiation (R(s)) determines the solar power potential and usage for climate change mitigation. Future projections of R(s) based on climate models have large uncertainties that interfere with the efficient deployment of solar energy to achieve China's carbon-neutrality goal. Here we assess 24 models in the latest Coupled Model Intercomparison Project Phase 6 with historical observations in China and find systematic biases in simulating historical R(s) values likely due to model biases in cloud cover and clear-sky radiation, resulting in largely uncertain projections for future changes in R(s). Based on emergent constraints, we obtain credible R(s) with narrowed uncertainties by ∼56% in the mid-twenty-first century and show that the mean R(s) change during 2050–2069 relative to 1995–2014 is 30% more brightening than the raw projections. Particularly in North China and Southeast China with higher power demand, the constrained projections present more significant brightening, highlighting the importance of considering the spatial changes in future R(s) when locating new solar energy infrastructures. |
format | Online Article Text |
id | pubmed-9840459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98404592023-01-17 Constrained future brightening of solar radiation and its implication for China's solar power He, Yanyi Yang, Kun Wild, Martin Wang, Kaicun Tong, Dan Shao, Changkun Zhou, Tianjun Natl Sci Rev Research Article As Earth's primary energy source, surface downward solar radiation (R(s)) determines the solar power potential and usage for climate change mitigation. Future projections of R(s) based on climate models have large uncertainties that interfere with the efficient deployment of solar energy to achieve China's carbon-neutrality goal. Here we assess 24 models in the latest Coupled Model Intercomparison Project Phase 6 with historical observations in China and find systematic biases in simulating historical R(s) values likely due to model biases in cloud cover and clear-sky radiation, resulting in largely uncertain projections for future changes in R(s). Based on emergent constraints, we obtain credible R(s) with narrowed uncertainties by ∼56% in the mid-twenty-first century and show that the mean R(s) change during 2050–2069 relative to 1995–2014 is 30% more brightening than the raw projections. Particularly in North China and Southeast China with higher power demand, the constrained projections present more significant brightening, highlighting the importance of considering the spatial changes in future R(s) when locating new solar energy infrastructures. Oxford University Press 2022-10-29 /pmc/articles/PMC9840459/ /pubmed/36654914 http://dx.doi.org/10.1093/nsr/nwac242 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article He, Yanyi Yang, Kun Wild, Martin Wang, Kaicun Tong, Dan Shao, Changkun Zhou, Tianjun Constrained future brightening of solar radiation and its implication for China's solar power |
title | Constrained future brightening of solar radiation and its implication for China's solar power |
title_full | Constrained future brightening of solar radiation and its implication for China's solar power |
title_fullStr | Constrained future brightening of solar radiation and its implication for China's solar power |
title_full_unstemmed | Constrained future brightening of solar radiation and its implication for China's solar power |
title_short | Constrained future brightening of solar radiation and its implication for China's solar power |
title_sort | constrained future brightening of solar radiation and its implication for china's solar power |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840459/ https://www.ncbi.nlm.nih.gov/pubmed/36654914 http://dx.doi.org/10.1093/nsr/nwac242 |
work_keys_str_mv | AT heyanyi constrainedfuturebrighteningofsolarradiationanditsimplicationforchinassolarpower AT yangkun constrainedfuturebrighteningofsolarradiationanditsimplicationforchinassolarpower AT wildmartin constrainedfuturebrighteningofsolarradiationanditsimplicationforchinassolarpower AT wangkaicun constrainedfuturebrighteningofsolarradiationanditsimplicationforchinassolarpower AT tongdan constrainedfuturebrighteningofsolarradiationanditsimplicationforchinassolarpower AT shaochangkun constrainedfuturebrighteningofsolarradiationanditsimplicationforchinassolarpower AT zhoutianjun constrainedfuturebrighteningofsolarradiationanditsimplicationforchinassolarpower |