There is a growing interest in understanding the energy and environmental footprint of digital currencies, specifically in cryptocurrencies such as Bitcoin and Ethereum. These cryptocurrencies are operated by a geographically distributed network of computing nodes, making it hard to accurately estimate their energy consumption. Existing studies, both in academia and industry, attempt to model the cryptocurrencies energy consumption often based on a number of assumptions for instance about the hardware in use or geographic distribution of the computing nodes. A number of these studies has already been widely criticized for their design choices and subsequent over or under-estimation of the energy use. In this study, we evaluate the reliability of prior models and estimates by leveraging existing scientific literature from fields cognizant of blockchain such as social energy sciences and information systems. We first design a quality assessment framework based on existing research, we then conduct a systematic literature review examining scientific and non-academic literature demonstrating common issues and potential avenues of addressing these issues. Our goal with this article is to to advance the field by promoting scientific rigor in studies focusing on Blockchain's energy footprint. To that end, we provide a novel set of codes of conduct for the five most widely used research methodologies: quantitative energy modeling, literature reviews, data analysis \& statistics, case studies, and experiments. We envision that these codes of conduct would assist in standardizing the design and assessment of studies focusing on blockchain-based systems' energy and environmental footprint.
翻译:人们对了解数字货币的能源和环境足迹越来越感兴趣,特别是Bitcoin和Eceenum等加密货币的能源和环境足迹。这些加密是由一个地理分布的计算节点网络操作的,因此很难准确估计其能源消耗。学术界和工业界的现有研究试图建模隐隐性能源消耗,这些研究往往基于一些假设,例如关于计算节点使用或地理分布的硬件的假设。这些研究中有一些已经受到广泛批评,因为它们的设计选择以及随后对能源利用的过度或低估。在本研究中,我们通过利用社会能源科学和信息系统等认识到障碍环节的领域的现有科学文献,评价先前模型和估计数的可靠性。我们首先根据现有研究设计一个质量评估框架,然后进行系统的文献审查,研究显示共同问题和基于这些问题的潜在途径。我们本篇文章的目标是通过在侧重于控制链能源足迹的研究中推广科学规范来推进该领域。为此,我们利用社会能源科学和估算系统的现有科学文献来评估以前的模型和估计以前的模型的可靠性和估计数。为此,我们首先根据现有研究设计一个质量评估框架,我们利用了这些研究的定量分析,并分析这些研究的定量分析。