English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Renewable energy planning in Africa: Robustness of mean and extreme multi-model climate change patterns in solar PV and wind energy potentials

Larsen, M. A. D., Bournhonesque, J., Thiery, W., Halsnæs, K., Hattermann, F. F., Hoff, H., Salack, S., Adenle, A., Liersch, S. (2024): Renewable energy planning in Africa: Robustness of mean and extreme multi-model climate change patterns in solar PV and wind energy potentials. - Environmental Research Communications, 6, 015001.
https://doi.org/10.1088/2515-7620/ad17d4

Item is

Files

show Files
hide Files
:
29295oa.pdf (Publisher version), 6MB
Name:
29295oa.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Larsen, Morten Andreas Dahl1, Author
Bournhonesque, Jean1, Author
Thiery, Wim1, Author
Halsnæs, Kirsten1, Author
Hattermann, Fred Fokko2, Author              
Hoff, Holger1, Author
Salack, Seyni1, Author
Adenle, Ademola1, Author
Liersch, Stefan2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: Increasing renewable sources in the energy mix is essential to mitigate climate change, not least in countries where the energy demand is likely to rise over the coming decades to reduce or even skip durations of time where fossils dominate. For Africa, solar photovoltaic (PV) and inland wind energy, combined with hydropower, provide significant and untapped potentials, whereas trends and robustness measures need further investigation. This study aims to gain insight into distributed trends in solar PV and wind energy potentials over Africa. This study employs relevant metrics, including relative change, model agreement, robustness, bias, and absolute levels for every available model combination and two climate scenarios, with energy planning purposes in mind. The study finds that regional climate models were the primary control of spatio-temporal patterns over their driving global climate model. Solar PV potentials show more coherence between models, a lower bias and general high potentials in most African regions than wind potentials. Favourable locations for inland wind energy include mainly the regions of greater Sahara and the Horn region. For wind and solar potentials combined, scattered locations within Sahara stand out as the most favourable across scenarios and periods. The analysis of minimum energy potentials shows stable conditions despite low potentials in certain regions. The results demonstrate a potential for solar and wind power in most of the African regions and highlight why solar and wind power or synergies of energy mix should be considered for local energy planning and storage solutions.

Details

show
hide
Language(s): eng - English
 Dates: 2023-12-212023-12-212024-01-09
 Publication Status: Finally published
 Pages: 26
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/2515-7620/ad17d4
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Regional keyword: Africa
Working Group: Hydroclimatic Risks
Research topic keyword: Energy
MDB-ID: No data to archive
OATYPE: Gold Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Environmental Research Communications
Source Genre: Journal, SCI, Scopus, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 6 Sequence Number: 015001 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/190326
Publisher: IOP Publishing