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Bridging macroeconomic and bottom up energy models – the case of efficiency in industry

机译:桥接宏观经济模型和自下而上的能源模型–工业效率的案例

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Energy demand and supply projections for a country are generallybased on one of two types of models: macroeconomicmodels or bottom-up models for several sectors. Both typesof models are essential for future energy policy design and exante evaluation of energy and material efficiency strategies.However, both types have their strengths and limitations. Thesolution to this dilemma is to link both model types and runthem iteratively in order to benefit from their strengths andadvantages and avoid their limitations. This paper focuses onone essential element of a hybrid energy model system: thedata transformation of industrial production data from a macroeconomicmodel to an industrial sectoral bottom up modelof an existing hybrid energy model system. Making use of this"transformation module', the information of the macro model isconverted into physical units as input for the bottom-up modelsoperating as a "hard-link" between the two model types.This paper reports on energy-intensive industries such as metalproduction, pulp, paper, and printing, or non-metallic minerals,taking into account material efficiency improvements aswell as material substitution and, hence, this aspect of indirectenergy efficiency improvements.
机译:一个国家的能源需求和供应预测总体上是 基于以下两种类型的模型之一:宏观经济 多个部门的模型或自底向上模型。两种类型 模型对于未来的能源政策设计和实施至关重要 能源和材料效率策略的事前评估。 但是,这两种类型都有其长处和局限性。这 解决此难题的方法是同时链接模型类型和运行 为了使他们从自己的长处中受益,他们反复进行 优势并避免其局限性。本文着重于 混合能源模型系统的一个基本要素: 宏观经济对工业生产数据的数据转换 模仿工业部门自下而上的模型 现有的混合能源模型系统。利用这个 “转换模块”,宏模型的信息是 转换为物理单位作为自下而上模型的输入 作为两种模型类型之间的“硬链接”。 本文报道了金属等能源密集型行业 生产,纸浆,纸张和印刷品,或非金属矿物, 考虑到材料效率的提高 以及物质替代,因此这是间接的 能源效率的提高。

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