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全球工业能源需求的区域模式作为建模脱碳化路径的基础
Anđelka Kerekeš1, Arne Burdack2,3, Ganesh Deepak Rupakula4
1Technical University of Munich (TUM), TUM School of Engineering and Design, Department of Energy and Process Engineering, 85748 Garching b, München, Germany. andelka.kerekes@tum.de.
Scientific data
|November 5, 2025
概括
工业能源使用是复杂的,区域差异影响脱碳. 这项研究量化了关键行业的能源需求和低效率,为制定有效的气候战略提供了关键数据.
科学领域:
- 工业生态学 工业生态学
- 能源系统分析 能源系统分析
- 可持续制造 可持续制造 可持续制造
背景情况:
- 由于高能耗和复杂的工艺,工业部门面临着重大脱碳挑战.
- 能源需求模式的区域差异使确定有效的过渡途径变得复杂.
- 准确评估工业能源需求对于制定有针对性的减缓气候变化战略至关重要.
研究的目的:
- 评估2018年全球16个地区五个主要能源密集型行业 (钢铁,有色金属,非金属矿物,纸和纸张,化学品) 的能源需求.
- 开发一种新的方法来计算整个工业子部门的区域能源低效率因素.
- 提供关于工业能源消耗的综合数据集,区分电力,燃料和化学原料.
主要方法:
- 对选定的行业和地区的工业生产量进行映射.
- 使用最佳可用技术和理论最小值来确定理论上的特定能源需求.
- 基于国际能源署 (IEA) 能源平衡的能源使用低效率的计算.
主要成果:
- 该研究使用一致的方法论,为能源密集型工业子行业提供了第一个全球,区域特定的低效率因子.
- 创建了一个详细的数据集,对16个世界地区的电力,各种燃料和化学原料需求进行区分.
- 量化低效率突出了关键行业内潜在的节能和改善资源利用的领域.
结论:
- 开发的方法和数据集为能源系统建模者和决策者提供了有价值的见解.
- 这些发现支持对工业能源需求的分析和脱碳努力的战略规划.
- 为实现可持续的工业发展和气候目标,解决发现的低效率问题至关重要.
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