清洁能源发展道路和生态环境的可持续发展,由采矿项目的大数据驱动
Dandan Li1, Xin Guan2, Tingting Tang3
1Collaborative Innovation Center for Emissions Trading System Co-constructed By the Province and Ministry, Hubei University of Economics, Wuhan, 430072, China; School of Low Carbon Economics, Hubei University of Economics, Wuhan, 430072, China.
Journal of environmental management
|October 25, 2023
概括
本研究探讨了为可持续发展 (SD) 而采矿的清洁能源整合. 大数据分析显示,到2060年,风能产能增加和二氧化碳 (CO2) 排放量大幅减少,支持采矿的经济和生态效益.
科学领域:
- 环境科学 环境科学
- 能源政策 能源政策
- 数据科学数据科学数据科学
背景情况:
- 采矿领域的可持续发展需要清洁能源解决方案.
- 大数据分析可以在采矿项目中带来生态和经济效益.
- 目前的研究探讨了清洁能源的状态和采矿中的应用.
结论:
- 该研究为采矿项目的清洁能源采用提供了实证支持.
- 通过整合清洁能源,可以实现经济和生态效益的双赢情景.
- 这项研究对于保护环境和确保可持续的资源利用至关重要.
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