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[西安高科技区的多场景碳峰值预测和减排路径分析]
Xu-Peng Jiang1,2, Qiang Zhang1,2, Wen-Ting Zhao2
1Carbon Neutrality College(Yulin), Northwest University, Xi'an 710127, China.
Huan jing ke xue= Huanjing kexue
|June 19, 2024
概括
西安高新技术区的地区.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 工业生态学 工业生态学
背景情况:
- 中国对碳峰值和碳中和的承诺需要绿色转型.
- 西安高科技区的经济增长严重依赖于能源消费,这给减少碳排放带来了挑战.
研究的目的:
- 分析西安高科技区的碳排放情况.
- 使用卡雅模型预测碳峰值场景.
- 为可持续发展提出减排战略.
主要方法:
- 对公园内的企业进行系统的碳排放核算.
- 卡雅模型应用程序用于碳排放和高峰时间的场景预测.
- 对发展特征的分析,以选择减排路径.
主要成果:
- 电力消耗是最大的碳排放来源,并且正在增加.
- 工业部门主导碳排放;第三产业正在增长.
- 根据碳排放因子,能源强度和经济水平的情景,到2030年可以实现碳峰值.
结论:
- 经济发展水平显著影响到碳峰值时间.
- 电力部门的脱碳,绿色工业/能源升级和可持续运输是减少排放的关键战略.
- 结果为工业园区的低碳发展提供了决策参考.
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