It's Different: Insights into home energy consumption in India

Nipun Batra, Manoj Gulati, Amarjeet Singh, M. Srivastava
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引用次数: 158

Abstract

Residential buildings contribute significantly to the overall energy usage across the world. Real deployments, and collected data thereof, play a critical role in providing insights into home energy consumption and occupant behavior. Existing datasets from real residential deployments are all from the developed countries. Developing countries, such as India, present unique opportunities to evaluate the scalability of existing research in diverse settings. Building upon more than a year of experience in sensor network deployments, we undertake an extensive deployment in a three storey home in Delhi, spanning 73 days from May-August 2013, measuring electrical, water and ambient parameters. We used 33 sensors across the home, measuring these parameters, collecting a total of approx. 400 MB of data daily. We discuss the architectural implications on the deployment systems that can be used for monitoring and control in the context of developing countries. Addressing the unreliability of electrical grid and internet in such settings, we present Sense Local-store Upload architecture for robust data collection. While providing several unique aspects, our deployment further validates the common considerations from similar residential deployments, discussed previously in the literature. We also release our collected data- Indian data for Ambient Water and Electricity Sensing (iAWE), for public use.
这是不同的:洞察印度的家庭能源消耗
住宅建筑对世界各地的总体能源使用做出了重大贡献。实际部署及其收集的数据在提供对家庭能源消耗和居住者行为的洞察方面发挥着关键作用。来自实际住宅部署的现有数据集都来自发达国家。印度等发展中国家提供了独特的机会来评估现有研究在不同环境下的可扩展性。基于一年多的传感器网络部署经验,我们在2013年5月至8月的73天内,在德里的一个三层住宅中进行了广泛的部署,测量了电气,水和环境参数。我们在家里使用了33个传感器,测量这些参数,总共收集了大约。每天400mb的数据。我们讨论了在发展中国家可用于监测和控制的部署系统的架构含义。为了解决这种情况下电网和互联网的不可靠性问题,我们提出了用于稳健数据收集的Sense本地存储上传架构。虽然提供了几个独特的方面,但我们的部署进一步验证了类似住宅部署的共同考虑,这些考虑在前面的文献中讨论过。我们还发布了我们收集的数据-印度环境水电传感(iAWE)数据,供公众使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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