能源系统优化模型和综合评估模型的比较:对能源政策建议的相关性
Hauke Henke1, Mark Dekker2,3, Francesco Lombardi4
1Division of Energy Systems, KTH Royal Institute of Technology, Stockholm, 10044, Sweden.
Open research Europe
|April 26, 2024
概括
本研究比较了气候政策的综合评估模型 (IAM) 和能源系统优化模型 (ESOM). 它揭示了发电,需求和可再生资源之间的联系,改善了政策的解释.
科学领域:
- 气候变化建模模型
- 能源系统分析 能源系统分析
- 环境政策 环境政策
背景情况:
- 过渡到气候中立社会需要强大的规划工具,如综合评估模型 (IAM) 和能源系统优化模型 (ESOM).
- 虽然在欧洲政策中很常见,但IAM和ESOM很少被直接比较或联系在一起.
- 这种差距限制了对气候目标的全面理解和有效的政策设计.
研究的目的:
- 在欧洲气候和能源建模论坛内对11个IAM和ESOM进行探索性比较.
- 确定潜在的信息流,并建立协调的区域和共享的变量,用于跨模型的场景比较.
- 为决策者和研究人员加强对建模结果的解释.
主要方法:
- 对11个综合评估模型 (IAM) 和能源系统优化模型 (ESOM) 的比较分析.
- 在模型中识别和比较区域聚合和通常报告的变量.
- 协调区域的定义和结果变量的共享子集,用于跨场景分析.
主要成果:
- 发电和需求是相互关联的,受到区域和部门驱动因素的影响.
- 对等能源载体的需求可以与可再生能源发电潜力联系起来,例如陆上风力发电.
- 核能发电的利用与风能资源的可用性存在关联.
结论:
- 交叉模型比较改善了对IAM和ESOM气候政策结果的解释.
- 需要在区域定义和变量报告中制定社区标准,以方便未来的模型比较.
- 模型中的区域聚合可能会掩盖国家一级的差异,这凸显了国家一级分析对决策者的重要性.
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