Is disaggregation the holy grail of energy efficiency? The case of electricity
Is disaggregation the holy grail of energy efficiency? The case of electricity
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DOI：
10.1016/j.enpol.2012.08.062
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发表时间：
2013-01-01
期刊：
影响因子：
9
通讯作者：
Albert, Adrian
中科院分区：
文献类型：
--
作者：
Armel, K. Carrie;Gupta, Abhay;Albert, Adrian
本文旨在解决两个及时的能源问题。首先，可以在住宅和商业领域实现大幅低成本能源削减，但迄今为止尚未实现这些节约。其次，数十亿美元用于安装智能电表，但如果不仔细考虑人为因素，该基础设施的节能和经济效益将无法充分发挥其潜力。我们相信，我们可以通过战略性地将这些问题结合起来并使用分解来解决这些问题。分解是指从聚合或整个建筑的能源信号中提取最终用途和/或设备级别数据的一组统计方法。在本文中，我们解释了设备级数据如何带来众多好处，以及为什么将算法与智能电表结合使用是获取此数据的最具成本效益和可扩展的解决方案。我们审查分解算法及其要求，并评估智能电表可以满足这些要求的程度。还概述了研究、技术和政策建议。 (C) 2012 Elsevier Ltd. 保留所有权利。
This paper aims to address two timely energy problems. First, significant low-cost energy reductions can be made in the residential and commercial sectors, but these savings have not been achievable to date. Second, billions of dollars are being spent to install smart meters, yet the energy saving and financial benefits of this infrastructure - without careful consideration of the human element - will not reach its full potential. We believe that we can address these problems by strategically marrying them, using disaggregation. Disaggregation refers to a set of statistical approaches for extracting end-use and/or appliance level data from an aggregate, or whole-building, energy signal. In this paper, we explain how appliance level data affords numerous benefits, and why using the algorithms in conjunction with smart meters is the most cost-effective and scalable solution for getting this data. We review disaggregation algorithms and their requirements, and evaluate the extent to which smart meters can meet those requirements. Research, technology, and policy recommendations are also outlined. (C) 2012 Elsevier Ltd. All rights reserved.