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Beyond average energy consumption in the French residential housing market: A household classification approach

机译：超越法国住宅市场的平均能耗：家庭分类方法

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摘要

In a new environment marked by the growing importance of Green House Gas emissions, fuel poverty, and energy efficiency in the different national agendas, the comprehension of energy demand factors appears to be crucial for the effectiveness of energy policies. We consider the latter could be improved by targeting specific household groups rather than looking to follow a single energy consumption level target. This article explores the scope of having a disaggregated energy consumption market to design policies aimed at curbing residential energy consumption or lowering its carbon intensity. Using a clustering method based on the CHAID (Chi Square Automatic Interaction Detection) methodology, we find that the different levels of energy consumption in the French residential sector are related to socio-economic, dwelling and regional characteristics. Then, we build a typology of energy-consuming households where targeted groups (fuel poor, high income and high consuming households) are clearly and separately identified through a simple and transparent set of characteristics. This classification represents an efficient tool for energy efficiency programs and energy poverty policies, but also for potential investors, which could provide specific and tailor made financial tools for the different consumer groups. Furthermore, our approach helps designing some energy efficiency score that could reduce the rebound effect uncertainty for each identified household group.
机译：在一个以温室气体排放，燃料匮乏和能源效率在不同国家议程中日益重要的新环境中，对能源需求因素的理解似乎对于能源政策的有效性至关重要。我们认为可以通过针对特定家庭群体而不是遵循单一能耗水平目标来改善后者。本文探讨了建立分类能耗市场的范围，以设计旨在减少住宅能耗或降低其碳强度的政策。使用基于CHAID（卡方自动交互检测）方法的聚类方法，我们发现法国住宅部门的能源消耗水平与社会经济，居住和区域特征有关。然后，我们建立了一个能源消耗型家庭的类型，通过一组简单而透明的特征来明确，分别地确定目标人群（燃料贫困，高收入和高消耗型家庭）。此分类代表了用于能源效率计划和能源贫困政策的有效工具，也为潜在的投资者提供了有效的工具，可以为不同的消费群体提供特定且量身定制的金融工具。此外，我们的方法有助于设计一些能效得分，从而降低每个已识别家庭群体的反弹效果不确定性。

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  • 来源
    《Energy Policy》 |2017年第8期|82-95|共14页
  • 作者

    Hache Emmanuel; Leboullenger Deborah; Mignon Valerie;

  • 作者单位

    IFP Energies Nouvelles, 1-4 Ave Bois Preau, F-92852 Rueil Malmaison, France;

    IFP Energies Nouvelles, 1-4 Ave Bois Preau, F-92852 Rueil Malmaison, France|Univ Paris Ouest, EconomiX CNRS, 200 Ave Republ, F-92001 Nanterre, France|BPCE SA, Paris, France;

    Univ Paris Ouest, EconomiX CNRS, 200 Ave Republ, F-92001 Nanterre, France|CEPII, Paris, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy consumption; Residential sector; Clustering method; France;

    机译：能源消耗;住宅部门;聚类方法;法国;

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