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Are we heading towards a replicability crisis in energy efficiency research? A toolkit for improving the quality, transparency and replicability of energy efficiency impact evaluations

机译:我们正在朝着能效研究中的可复制性危机迈进吗?用于提高能效影响评估的质量,透明度和可复制性的工具包

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Several high-profile replication failures have called into question the reproducibility of results in medicine, neuroscience, genetics, psychology and economics (Camerer et al. 2016). A paper published in Science found that just one third of psychology studies could be replicated when the study was run for a second time (OSC 2015). To our knowledge, there have been no attempted replications of energy efficiency studies; so can we be confident that the estimated energy savings from policy initiatives like the European roll out of smart meters will be realised? Or that electric vehicles will reduce carbon emissions by predicted levels? Or is energy heading towards its own reproducibility crisis? Researchers call for the increased use of randomised control trials (RCTs) to evaluate energy efficiency policy and the introduction of protocols or guidelines for conducting experiments (Vine et al. 2014; Frederiks et al. 2016). However, no guidelines for increasing reproducibility have been proposed. Moreover, RCTs are just one method for causal analysis and RCTs cannot answer all important causal questions. This paper will outline research methods for improved impact assessment of energy efficiency policy, including RCTs, but also quasi-experiments and systematic reviews that go beyond the conclusions of single experiments. It will then present tools for increasing replicability: pre-registration of trials; pre-analysis plans; reporting standards; synthesis tools and; publication of datasets with computer code in data repositories. Based on work by our research group at the UCL Energy Institute, we recognize that not all of these tools (mostly from medical trials) provide ‘off-the-shelf’ models for energy efficiency evaluations, and so consider adaptations for energy research. Our aim is to stimulate discussion and get feedback from the research community at eceee so the toolkit can be developed and potentially adopted more widely.
机译:几次备受瞩目的复制失败使人们质疑医学,神经科学,遗传学,心理学和经济学领域结果的可重复性(Camerer等人,2016年)。在《科学》杂志上发表的一篇论文发现,第二次运行心理学研究时,只有三分之一能够被复制(OSC 2015)。据我们所知,没有尝试过重复进行能效研究。因此,我们是否有信心实现诸如欧洲推出智能电表之类的政策举措所带来的预计节能量?还是电动汽车将碳排放量降低了预期水平?还是能源正在走向自身的可再生性危机?研究人员呼吁更多地使用随机对照试验(RCT)来评估能效政策,并引入进行实验的方案或指南(Vine等人,2014; Frederiks等人,2016)。但是,还没有提出提高再现性的指导方针。而且,RCT只是因果分析的一种方法,RCT不能回答所有重要的因果问题。本文将概述改善能效政策影响评估的研究方法,包括随机对照试验(RCT),以及超出单个实验结论的准实验和系统评价。然后,它将提供提高可复制性的工具:试验的预注册;分析前计划;报告标准;综合工具;在数据存储库中发布具有计算机代码的数据集。根据我们在UCL能源研究所的研究小组的工作,我们认识到并非所有这些工具(主要来自医学试验)都提供了能效评估的“现成”模型,因此请考虑对能源研究进行调整。我们的目标是激发讨论并在eceee上获得研究界的反馈,以便可以开发该工具包并可能将其更广泛地采用。

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