Smart Green House Gas Footprint Display with Integrated Smart Power Monitoring and IoT Actuation

Author:

Abstract

This research paper is about a one-for-all device that has a central synchronization with a Wireless Sensor Network connected to other part of the house. This network can do an all-round power saving and environment awareness tasks. The device takes power consumption readings from the mains, and displays the Greenhouse gas (GHG) emissions and footprint of the users in a particular time frame along with the current electricity bill. The WSN mainly focuses on Kitchen, Bathrooms and AC rooms. A certain toxic amount of Carbon Monoxide gas is produced from burning of stoves in Kitchen. During cooking, a gas sensor (MQ7) is placed in the kitchen measures the amount of different gases, especially CO. Chimney is turned on only when CO reading crosses a certain threshold. In this way, power consumed by chimney can be reduced markedly. Similarly in the water tanks above the house, a water temperature sensor is placed. This sensor allows the intensity of the water heater to be automatically regulated depending on the temperature of water in the tank. If water is already at the user-required temperature, the water heater is adaptively changed to a lower temperature or switched off, so as to consume less power. The third sensor is placed in an AC room. Even the high star-rated ACs are a major concern in power consumption, electricity bill and GHG emissions. Hence the temperature sensor is placed which measures the room temperature and outdoor temperature. If it is cold enough, the AC switches-off, thereby saving unnecessary power consumption.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Customer Loyalty during Disasters: The Case of Internet Service Providers Amidst Typhoon Odette in Central Philippine Urban Districts;Urban Science;2023-05-16

2. Performance Evaluation of NodeMCU based Vehicle Emission Monitoring System;2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC);2021-11-26

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