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Review and outlook on the international renewable energy development

Open access
Li, Li, Lin, Jian, Wu, Nianyuan, Xie, Shan, Meng, Chao, Zheng, Yanan, Wang, Xiaonan, Zhao, Yingru·2022·Energy and Built Environment

Abstract

Renewable energy has become an important choice to solve the energy crisis and environmental problems. A sustainable development needs policies and strategies policies, which can improve energy efficiency and reduce greenhouse gas emissions. By collecting the research results released by relevant statistical departments and authoritative institutions, this paper summarizes the international energy development situation, systematically combs the energy development situation of the European Union, United States, Australia, India, Brazil. The development trend of wind, solar, biomass, geothermal, ocean, and hydrogen energy have been analyzed. In addition, this paper proposes that China should draw up its own development path of renewable energy from international development experience, and actively explore renewable energy policies and strategies adapted to different stages of development.

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Metadata

Authors
Li, L., Lin, J., Wu, N., Xie, S., Meng, C., Zheng, Y., Wang, X., & Zhao, Y.
Venue
Energy and Built Environment
Publisher
Elsevier BV
Published
2022-04
Volume
3
Issue
2
Pages
139-157
ISSN
2666-1233 (ISSN-L)
OpenAlex
W3111639609
Cited by
429
References
0
FWCI
7.23
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Review and outlook on the international renewable energy development. https://app.cochat.ai/papers/10.1016/j.enbenv.2020.12.002
The paper
Li, L., Lin, J., Wu, N., Xie, S., Meng, C., Zheng, Y., Wang, X., & Zhao, Y. (2022). Review and outlook on the international renewable energy development. Energy and Built Environment. https://doi.org/10.1016/j.enbenv.2020.12.002

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.