4.7 Article

Fallacies of energy efficiency indicators: Recognizing the complexity of the metabolic pattern of the economy

期刊

ENERGY POLICY
卷 137, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2019.111089

关键词

Energy efficiency; Energy performance; End-use matrix; Energy policy; Jevons paradox; Metabolic pattern

资金

  1. European Union's Horizon 2020 research and innovation programme [649342, 689669]
  2. Ministerio de Educacion, Cultura y Deporte (MECD) of Spain [FPU12/05711]
  3. Spanish Ministry of Science, Innovation and Universities through the Maria de Maeztu program for Units of Excellence [MDM2015-0552]
  4. H2020 Societal Challenges Programme [649342] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

The strategy of energy efficiency to save energy is deceptively simple: the idea is to use less input for the highest amount of useful output. However, on a practical and conceptual level, efficiency is an ambiguous and problematic concept to implement. Of particular concern is the lack of contextual and qualitative information provided in energy efficiency measurements based on simple ratios. Oversimplification of efficiency measurements can have a detrimental effect on the choice of energy policies. Efficiency measurements are particularly problematic on a macroeconomic scale where a significant amount of meaningful information is lost through the aggregation of data into a simple ratio (economic energy intensity). First, practical examples are presented flagging conceptual problems with energy efficiency indicators, then an alternative accounting method-the end-use matrix-based on the concept of the metabolic pattern of social-ecological systems is illustrated to show the possibility of enriching efficiency indicators by adding qualitative and contextual information across multiple scales and dimensions. This method unpacks and structures salient energy input and output information in a meaningful and transparent way by generating a rich multi-level and multi-dimensional information space.

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