.png){kind=icon}
返回
Data analytics driving net zero tracker for renewable energy
.png){kind=icon}
OA
AI
DOI：10.1016/j.rser.2024.115061.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This research aims to assess the impact of renewable energy policies, investments, and emissions reductions toward achieving net-zero targets by 2050. We analysed key metrics using the Net Zero Tracker (NZT), including renewable energy capacity, policy strength, financial investment, and carbon emissions across multiple regions and industries. Our methodology involved data collection from 2020 to 2050, utilising predictive modeling to project trends in renewable energy adoption and emissions reduction. Key findings show that renewable energy capacity is expected to surpass 1000 GW by 2050, with an exponential increase around 2045. Policy Strength Index (PSI) will grow by 20 %, from 50 in 2020 to 60 in 2050, while investments in renewable energy will rise from $10 billion to $25 billion over the same period. Emissions are projected to steadily decrease to zero by 2050, which aligns with net-zero goals. The margin of error in the projections is +/- 5 %, considering potential policy implementation and technology development variations. These results underscore the critical role of enhanced policies, sustained investments, and international cooperation in accelerating the global transition to renewable energy. The research offers valuable insights for policymakers and stakeholders to guide future strategies for achieving a sustainable energy future.
Keyword:
Net zero tracker
Renewable energy harvesting
Net zero emissions
Sustainability
Energy transition
Policy implications
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
16.3
论文数:
1.6W
被引数:
18.5W
机构
引用论文
High-efficiency separation of CO2 from CO2-CH4 gas mixtures via gas hydrates under static conditions
PREAI
分享收藏Design and study of mine silo drainage method based on fuzzy control and Avoiding Peak Filling Valley strategy.png)
SCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏
Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model法国，德国，意大利，西班牙，土耳其和英国的可再生能源消费前景2030年基于优化的分数非线性灰色伯努利模型OAAI
OAAI分享收藏Energy intensity and energy-specific technological progress: A case study in Guangdong province of ChinaRENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏
查看更多内容