IoT based Energy Assistive Meter to Analyse the Electricity usage in Commercial and Household uses via Wirelessly in a Cloud Network

Fernandes, J. Bennilo; DP, Sangeetha; Padmapriya, G.; Sekar, K. R.

doi:10.1109/icpects56089.2022.10046793

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Sensor de corrente não invasivo: o SCT-013 possui um limite de corrente de entrada de 0 a 100A e corrente de saída de 0 a 50mA. É um sensor de corrente não invasivo, podendo ser incorporado em diversos materiais condutores (FERNANDES et al, 2022). Como geralmente os dispositivos leem valores de tensão, é necessário um circuito complementar, em que uma carga de resistência deve ser dimensionada e, a partir dela, ser possível controlar a precisão de leitura.…”

Section: Métodosunclassified

Internet das Coisas: Arquiteturas Teóricas e Metodológicas

2023

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IFAM). Tem experiência na área de Administração, com ênfase em gestão de organizações amazônicas, atuando principalmente nos seguintes temas: administração pública, estratégias organizacionais, administração estratégica, planejamento estratégico e alianças estratégicas; e na área de Educação, desenvolvendo estudos sobre aprendizagem, mecanismos cerebrais e os fundamentos de uma nova educação planetária.

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Section: Métodosunclassified

Internet das Coisas: Arquiteturas Teóricas e Metodológicas

2023

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“…Systems designed for analyzing energy consumption by individual devices [11][12][13][14][15], some of which offer remote control capabilities, are not suitable for monitoring the energy consumption of an entire installation with multiple appliances. Solutions that rely solely on measuring current and voltage to determine apparent power (without considering power factor) [16][17][18][19][20][21] have limited practicality because electricity billing is primarily based on active energy consumption, while many appliances, such as LED lamps and electronic devices, have a low power factor. To evaluate the profitability of transitioning to a time-of-day tariff, it is essential to have a system that measures and records data on active energy consumption throughout the entire installation during both peak and off-peak hours.…”

Section: Introductionmentioning

confidence: 99%

Rationalization of Electrical Energy Consumption in Households through the Use of Cheap IoT Module with Cloud Data Storage

Boron

2023

Sustainability

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This article explores mechanisms to enhance the efficient utilization of renewable energy sources (RES), with a particular emphasis on photovoltaic installations. One such strategy involves implementing a customized electricity rate system for individual consumers. This paper discusses the potential economic and environmental benefits of transitioning from a flat-rate tariff to a time-of-day tariff. This modification can lead to increased energy consumption during off-peak hours, aligning with occasional periods of photovoltaic installations’ overproduction, which might require their temporary shutdowns. The energy that could be produced by RES is supplied by conventional power plants (mostly coal-fueled). Not only does this have negative effects on the environment, but it also increases energy costs. In order to make an informed decision regarding the change of tariff, the consumer must be aware of its potential benefits and drawbacks. The article introduces an IoT-based, cost-effective system with cloud data storage for monitoring residential electricity consumption, offering various features, including an assessment of the financial viability of switching tariffs. This system has been operational for more than six months in real installation, encouraging homeowners to transition from a flat rate tariff to time-of-day tariff and optimize their use of electrical appliances. The article presents the potential benefits of this action, encompassing both financial aspects for users of the installation and environmental protection issues.

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IOT based intelligent energy monitoring of grid connected hybrid systems and controlling of loads using PLC

Thulasingam,

Krishnamoorthy

2024

TESEA

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Nowadays IOT becoming popularize in all the application especially in the power system network for data monitoring from the Hybrid power distribution system. Because of easy adaptability of IOT technology, it find its place in data monitoring for the remote system and data can also be logged in the cloud server for analysis of the system under surveillance. By having data enabled IOT system, which will make the complete system smarter in terms of monitoring and analysis of the performance of the power distribution network. In these research paper, concept IOT technology for data monitoring of grid connected Hybrid system consist of PV source for the typical educational institute was developed and implemented in the campus. Apart from the data monitoring, controlling of the critical loads connected to this hybrid system was developed using Programmable Logic Controller (PLC). The MyQtt based cloud server was used to store the data pushed from the IOT device and user interactive mobile Application was developed using MIT inventor to monitor the data in the mobile itself, the command from the Mobile app was given to the PLC to control the loads. The energy data from the Multi-function energy meter (MFM) is pushed to PLC through gateway of Raspberry Pi. In this paper, Raspberry PI was used as IOT device and ILC 131 ETH PLC was used to control the loads. Performance of IOT device along with PLC was monitored for 3 months and results obtained were satisfactory.

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IoT based Energy Assistive Meter to Analyse the Electricity usage in Commercial and Household uses via Wirelessly in a Cloud Network

Cited by 4 publications

References 16 publications

Internet das Coisas: Arquiteturas Teóricas e Metodológicas

Internet das Coisas: Arquiteturas Teóricas e Metodológicas

Rationalization of Electrical Energy Consumption in Households through the Use of Cheap IoT Module with Cloud Data Storage

IOT based intelligent energy monitoring of grid connected hybrid systems and controlling of loads using PLC

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