A Simple Wireless Sensor Node System for Electricity Monitoring Applications: Design, Integration, and Testing with Different Piezoelectric Energy Harvesters

Yang, Zongxian; Zarabi, Sid; Fernandes, Egon; Rua-Taborda, Maria-Isabel; Debéda, Hélène; Salehian, Armaghan; Nairn, D.G.; Wei, Lan

doi:10.3390/s18113733

Cited by 10 publications

(4 citation statements)

References 43 publications

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“…Another custom-made system was proposed by Yang et al [21]. The authors propose an infrastructure for real-time electricity monitoring, which uses a non-invasive sensor and an energy harvester to power the data capture module.…”

Section: The State Of the Art Of Electricity Monitoringmentioning

confidence: 99%

Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

et al. 2021

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This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world.

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Section: The State Of the Art Of Electricity Monitoringmentioning

confidence: 99%

Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

et al. 2021

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“…In order to reduce the power consumption of the microprocessor and SRAM, VDD is reduced to 0.45 V, which makes its power consumption only 90 nW. The entire sensor module is implanted into the human eye, and the sensor uses the light passing through the human cornea to obtain energy and transmits the intraocular pressure readings to the external receiving terminal through wireless communication [19][20][21][22].…”

Section: Related Workmentioning

confidence: 99%

Simulation of Steady‐State Temperature Rise of Electric Heating Field of Wireless Sensor Circuit Fault Current Trigger

Zhao

Zhuang

et al. 2021

Journal of Sensors

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This article analyzes the structure of the wireless sensor circuit, considering the balance of power consumption, integration, area, noise, etc., and adopts a radio frequency wireless sensor circuit with a low-IF structure. Through the analysis and comparison of traditional analog current trigger and digital current trigger structure, the feed-forward current trigger structure is selected, which is composed of received signal strength indicator (RSSI) and variable gain amplifier (VGA), which achieves low power consumption, fast stabilization time, and wide dynamic range design. The received signal strength indicator adopts the form of approximate logarithmic amplifier, five-stage double feedback loop structure, and realizes lower power consumption. In order to prevent the load current trigger from entering the speed saturation zone, a gain unit structure in which the superimposed current trigger is connected to the NMOS tube as the load is proposed. The test results show that the circuit has a good power consumption performance (1 mW) and at the same time 56.8 dB/m sensitivity. In this paper, through the analysis of the current trigger system and the analysis and comparison of the existing variable gain amplifiers, the variable gain amplifier structure composed of the folded wireless sensing unit and the index control unit is adopted. In order to reduce the power consumption of the circuit and increase the output swing, a structure in which the two-stage folding wireless sensor unit shares the controlled voltage-to-current part of the circuit is proposed. Aiming at the design requirements of the system, this article discussed in detail the architecture of the entire temperature measurement node and the design parameters of the chip and completed the overall architecture design of the chip. The simulation results of the steady-state temperature rise of the electric heating field show that the circuit has achieved an input dynamic adjustment range of more than 60 dB, the maximum power consumption is 1 mW, and the linearity error is less than 0.5 dB. The designed automatic gain control circuit is implemented in SMIC 0.18 cape CMOS process. The simulation results of the steady-state temperature rise of the electric heating field show that the circuit has a 56 dB input dynamic adjustment range within a linear error of 1.25 dB, and the time constant is 7.55 ms, and power consumption is 2.84 mW. Through the steady-state temperature rise simulation and test results of the electric heating field, the correctness of the design is verified and it meets the system requirements.

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“…Arus listrik akan mengalir atau berpindah dari tempat yang berpotensial tinggi menuju tempat dengan potensial yang lebih rendah. Arus listrik terjadi didalam suatu larutan karena adanya ion-ion yang bergerak (233)(234)(235) . Dari tabel dan grafik diatas dapat disimpulkan bahwa semakin besar konsentrasi larutan magnesium sulfat maka konduktivitasnya juga semakin besar (236) .…”

Section: Konduktivitasunclassified

Analisis Termodinamika Molekul Magnesium Sulphate (MgSO4)

Yuliani¹,

Zainul²

2018

Preprint

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Magnesium sulfat merupakan salah satu garam anorganik dengan rumus kimia MgSO4. Magnesium sulfat ini termasuk senyawa ionik karena terdapat ikatan antara logam magnesium dengan spesi non logam sulfat. Magnesium sulfat bersifat polar, bentuk anhidratnya sangat higroskopik dan mudah memiliki koordinasi dengan air. Umumnya magnesium sulfat terbentuk dalam formasi hidrat MgSO4.xH2O. Penelitian ini bertujuan untuk menganalisis pengaruh sifat termodinamika molekul MgSO4 terhadap interaksi molekuler di dalam senyawa tersebut. Metode yang digunakan ialah pemodelan dengan aplikasi ChemOffice 15.0. Sedangkan untuk data mobilitas ion, konduktivitas, viskositas, kecepatan hanyut dengan menggunakan perhitungan dan data dari hasil review beberapa jurnal penelitian yang berkaitan dengan magnesium sulfat sesuai tahapan yang tertera pada fishbond. Magnesium sulfat memiliki sifat termokimia dalam fasa solid dengan ∆𝐻𝑓,∆𝐺𝑓,𝑆°, 𝑑𝑎𝑛 𝐶𝑝 pada tekanan 1 atm dan suhu 25°C yang masing-masing mempunyai nilai -1284,9 kJ/mol, -1170,7 kJ/mol, 91,6 J/molK dan 96,48 J/molK. Mobilitas ion Mg2+dan SO42- adalah 5,50.10-8m2s-1V-1 dan 8,29.108m2s-1V-1. Panas reaksi standar (ΔHr°) MgSO4 bernilai negatif maka reaksi bersifat eksotermis

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A Simple Wireless Sensor Node System for Electricity Monitoring Applications: Design, Integration, and Testing with Different Piezoelectric Energy Harvesters

Cited by 10 publications

References 43 publications

Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

Simulation of Steady‐State Temperature Rise of Electric Heating Field of Wireless Sensor Circuit Fault Current Trigger

Analisis Termodinamika Molekul Magnesium Sulphate (MgSO4)

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