Evidence map›Paper›PMID 42519025›Full record

ArticleiScience2026

High-resolution mapping reveals a profound gap between existing rooftop solar deployment and potential in Africa.

Dongmei Huang, Ling Tang, Wei Hu, Mingkun Jiang, Huan Zhou, Linbo Han, Pengfei Zhang, Wendong Wei

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dongmei HuangSchool of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China.
Ling TangSchool of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China.
Wei HuSchool of Economics and Management, Shanghai University of Electric Power, Shanghai, China.
Mingkun JiangSPIC Qinghai PV Industry Innovation Center Co., Ltd., Xi'an, Shaanxi Province 710061, China.
Huan ZhouSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Linbo HanState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Pengfei ZhangState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Wendong WeiState Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rooftop photovoltaics offer a flexible and scalable pathway for expanding electricity access and advancing power system transitions in Africa. However, spatially explicit tracking of rooftop photovoltaic installations at a continental scale remains a critical bottleneck, hindering efforts to characterize deployment patterns, assess regional untapped potential, and inform investment decisions. Here, we used satellite imagery and a U-Net semantic segmentation model to construct a geospatial database of rooftop photovoltaic installations across Africa. Results showed that total rooftop photovoltaic installations have reached 3.37 GW, with capacity predominantly concentrated in South Africa (∼71%). Strikingly, existing installations represented less than 1% of the continent's total capacity potential. Moreover, the analysis revealed that rooftop photovoltaic deployment is primarily driven by local electricity demand, with solar irradiance playing a relatively limited role. These findings offer an empirical foundation for optimizing renewable energy policy and guiding infrastructure planning in Africa.

Indexed as

Africadeep learningenergy transitionremote sensingrooftop photovoltaics

Identifiers

PMID42519025
PMCPMC13382415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.