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RESIDENTIAL ENERGY EFFICIENCY IN TIMES – ANALYSIS OF MODELLING APPROACHES AND IMPACTS ON ENERGY POLICY

机译:住宅能源效率在时代 - 对能源政策的建模方法和影响分析

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摘要

The TIMES energy system model has been used for informing energy and climate change policies in several countries and regions around the world. The type and scope of the studies varies, but many works consider (at least briefly) energy efficiency in their findings. However, very few include explicit energy efficiency scenarios and/or direct analysis of energy efficiency improvements. Certainly, many TIMES studies mention energy efficiency as part of the strategies to achieve other outcomes (e.g. decarbonisation scenarios), but without explicitly measuring it in model runs. From the studies that measure energy efficiency improvements (involving technological change, not behavioral change), most cases report them as a sub product of other type of scenarios, such as emission reduction, renewable energy penetration or technology adoption cases. Lastly, few studies consider explicit energy efficiency scenarios, in some cases in combination with other type of scenarios such as emission reduction targets. Moreover, these studies have shown significant differences on the modelling approach and it has been recognised in (Blesl et al., 2007) and (Rosnes et al., 2017) that the model used and the approach taken considerably affect the results, potentially affecting policy decisions as well. Nonetheless, a direct comparison between energy efficiency modelling approaches in TIMES has not been developed yet. The work developed in this paper aims to provide insight on this issue, analysing the implications of different energy efficiency modelling approaches in TIMES, and discussing best practices on informing energy efficiency policy.
机译:时代能源系统模型已被用于向世界各国和地区的能源和气候变化政策通知能源和气候变化政策。研究的类型和范围都有所不同,但许多作品在其发现中考虑(至少简要介绍)能效。然而,很少包括明确的能效场景和/或直接分析能效改进。当然,许多次的研究提到了能源效率作为实现其他结果的一部分(例如脱碳情景),但在模型运行中没有明确测量它。从测量能源效率改进的研究(涉及技术变革,而不是行为变化),大多数情况将它们作为其他类型情景的子产品报告,例如减排,可再生能源渗透或技术采用案例。最后,很少有研究考虑在某些情况下与其他类型的情景相结合,例如减排目标。此外,这些研究表明了对建模方法的显着差异,并已被识别(Blesl等,2007)和(Rosnes等,2017),使用的模型和方法采取的方法显着影响结果,可能影响结果政策决策也是如此。尽管如此,尚未开发能源效率建模方法之间的直接比较。本文制定的工作旨在为此问题提供洞察力,分析不同能源效率建模方法的影响,并讨论了信息效率政策的最佳实践。

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