@inproceedings{37f73e0f3a1c4190af30aa18028fe06b,
title = "Development of Low-cost IoT System for Monitoring and Enhancing Renewable Energy Feed-in Tariff at Household in Hong Kong",
abstract = "Feed-in tariff schemes become more popular in many countries nowadays. In October 2018, the Hong Kong Government launched a new policy scheme which was comprised of feed-in tariff scheme and renewable energy certificates. The work mentioned in this paper aims at improving the efficiency of implementing the feed-in tariff scheme at household in Hong Kong by using an automatic intelligent and relatively low-cost IoT system. Besides improving the energy efficiency, the proposed system also includes a website and an App for monitoring the system performance. The experimental results showed that the energy generated by using the proposed system is three times more than the system without smart features. The payback period can be greatly reduced from 11 to 6 years by using the proposed system. It encourages the development of renewable energy sources in Hong Kong or other similar developed cities.",
keywords = "Feed-in Tariff, IoT, Smart Renewable Energy",
author = "Lee, {C. C.} and George Chan",
note = "Publisher Copyright: {\textcopyright} 2021 by SCITEPRESS - Science and Technology Publications, Lda.; 6th International Conference on Internet of Things, Big Data and Security, IoTBDS 2021 ; Conference date: 23-04-2021 Through 25-04-2021",
year = "2021",
doi = "10.5220/0010484403150322",
language = "English",
series = "International Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings",
pages = "315--322",
editor = "Gary Wills and Peter Kacsuk and Victor Chang",
booktitle = "IoTBDS 2021 - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security",
}
