气候变化和空调情景下法国居民用电量的次区域变异性

IF 4 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Qiqi Tao , Marie Naveau , Alexis Tantet , Jordi Badosa , Philippe Drobinski
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引用次数: 0

摘要

住宅部门对于应对全球变暖的能源转型非常重要。由于社会经济因素的地理差异,高度依赖的居民用电量(REC)应在当地进行研究。本研究旨在考虑气候变化和空调(AC)情景,预测未来法国REC,并量化其空间变异性。为此,在区域内尺度上应用了由年观测用电量数据和历史温度拟合的线性温度敏感性模型。通过将模型应用于气候变化路径RCP8.5下的温度预估,计算了未来温度敏感REC。考虑了三种交流电情景:(1)100%交流电情景,假设目前任何部分安装了交流电系统的地区所有家庭都安装了交流电,但当地的温度敏感性不再提高;(2)模仿“喜欢我的邻居”行为的逐渐蔓延情景;(3)两种情况的结合。温度升高导致REC总体下降(到2040年为- 8太瓦时,到2100年为- 20太瓦时),并具有显著的空间变异性,由于缺乏合适的方法和有限的最佳尺度可用数据,这种空间变异性从未被量化和绘制。REC的发展是由冷却需求的发展和AC系统的部署来满足这些需求。在前2种AC情景下,法国南部地区由于气候变化导致的REC减少可以完全抵消,然后法国南部地区的REC会增加。当2种AC情景合并在一起时,整个国家的REC都会增加。最极端的交流电情景显示,由于交流电的使用,到2040年可能会增加2%,到2100年甚至会增加32%,这可以通过将冷却设定值提高到26-27°C来消除。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sub-regional variability of residential electricity consumption under climate change and air-conditioning scenarios in France

The residential sector is important for the energy transition to combat global warming. Due to the geographical variability of socio-economic factors, the highly dependent residential electricity consumption (REC) should be studied locally. This study aims to project future French REC considering climate change and air-conditioning (AC) scenarios and to quantify its spatial variability. For this purpose, a linear temperature sensitivity model fitted by annual observed electricity consumption data and historical temperature is applied at an intra-regional scale. Future temperature-sensitive REC is computed by applying the model to temperature projections under the climate change pathway RCP8.5. Three AC scenarios are considered: (1) A 100% AC rate scenario assuming that any region partially equipped with AC systems nowadays will have all its households equipped with AC, but local temperature sensitivity will no longer progress; (2) A gradual spreading scenario mimicking “do like my neighbor” behavior; (3) A combination of the two scenarios. Increasing temperatures lead to an overall REC decrease (−8 TWh by 2040 and down to −20 TWh by 2100) with significant spatial variability, which had never been quantified and mapped due to a lack of suited methodology and limited available data at the finest scale. The evolution of REC is modulated by the evolution of cooling needs and the deployment of AC systems to meet those needs. In the first 2 AC scenarios, the decrease of REC due to climate change could be totally offset in the South of France, which would then display an increase in REC. When the 2 AC scenarios are combined, an increase in REC could be seen over the whole country. The most extreme AC scenario shows a potential REC rise due to AC usage by 2% by 2040 and even 32% by 2100, which could be canceled by increasing the cooling setpoint up to 26–27 °C.

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来源期刊
Climate Services
Climate Services Multiple-
CiteScore
5.30
自引率
15.60%
发文量
62
期刊介绍: The journal Climate Services publishes research with a focus on science-based and user-specific climate information underpinning climate services, ultimately to assist society to adapt to climate change. Climate Services brings science and practice closer together. The journal addresses both researchers in the field of climate service research, and stakeholders and practitioners interested in or already applying climate services. It serves as a means of communication, dialogue and exchange between researchers and stakeholders. Climate services pioneers novel research areas that directly refer to how climate information can be applied in methodologies and tools for adaptation to climate change. It publishes best practice examples, case studies as well as theories, methods and data analysis with a clear connection to climate services. The focus of the published work is often multi-disciplinary, case-specific, tailored to specific sectors and strongly application-oriented. To offer a suitable outlet for such studies, Climate Services journal introduced a new section in the research article type. The research article contains a classical scientific part as well as a section with easily understandable practical implications for policy makers and practitioners. The journal''s focus is on the use and usability of climate information for adaptation purposes underpinning climate services.
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