Document of bibliographic reference 334203

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Projected changes in wind power potential over China and India in high resolution climate models
Abstract
As more countries commit to emissions reductions by midcentury to curb anthropogenic climate change, decarbonization of the electricity sector becomes a first-order task in reaching this goal. Renewables, particularly wind and solar power, will be predominant components of this transition. How availability of the wind and solar resource will change in the future in response to regional climate changes is an important and underdiscussed topic of the decarbonization process. Here, we study changes in potential for wind power in China and India, evaluating prospectively until the year 2060. To do this, we study a downscaled, high-resolution multimodel ensemble of CMIP5 models under high and low emissions scenarios. While there is some intermodel variability, we find that spatial changes are generally consistent across models, with decreases of up to 965 (a 1% change) and 186 TWh (a 2% change) in annual electricity generation potential for China and India, respectively. Compensating for the declining resource are weakened seasonal and diurnal variabilities, allowing for easier large-scale wind power integration. We conclude that while the ensemble indicates available wind resource over China and India will decline slightly in the future, there remains enormous potential for significant wind power expansion, which must play a major role in carbon neutral aspirations.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000625101200001
Bibliographic citation
Sherman, P.J.; Song, S.; Chen, X.; McElroy, M.B. (2021). Projected changes in wind power potential over China and India in high resolution climate models. Environ. Res. Lett. 16: 034057. https://dx.doi.org/10.1088/1748-9326/abe57c
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Peter Sherman
author
Name
Shaojie Song
author
Name
Xinyu Chen
author
Name
Michael McElroy

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1088/1748-9326/abe57c

Document metadata

date created
2021-02-24
date modified
2021-03-12