Skip to main content
Top

2021 | OriginalPaper | Chapter

A Novel Approach on Renewable Energy Harvesting Using Internet of Things (IoT)

Authors : S. Chandragandhi, E. Udayakumar, K. Srihari

Published in: Smart Sensors for Industrial Internet of Things

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The goal of this undertaking is to audit existing sustainable power source and imminent methodologies in vitality reaping procedure as methods for having an economical and low support activity of WSN (wireless sensor networks). The Internet of Things idea has been utilized to build up the undertaking. Sunlight-based vitality reapers are getting to be basic in home and structures to give considerable advantages to our atmosphere, well-being, and economy. It together with other inexhaustible sources will soon outdate the customary fossil vitality to turn into a column for economical improvement. An IoT-based system is implemented to distribute energy among the solar board. The power gathered by sunlight-based clusters, in any case, relies on different factors, for example, climate conditions, photovoltaic (PV) boards, and vitality transformation that need broad and constant examinations to boost its potential. In the primary bearing, fixed, single, and twofold pivot trackers are created to follow the course of the sun. An electromechanical framework to pursue the situation of the sun was structured. It is coordinated by a shut circle servo framework that takes estimations of direct sun-based radiation as the criticism. The control methodology is to drive two little dc engines with the goal that the sun picture is kept at the focal point of the four-quadrant photograph indicator detecting the sun position.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Chavali, P., et al.: Distributed power system state estimation using factor graphs. IEEE Trans. Signal. Process. 63(11), 2864–2876 (2015)MathSciNetCrossRef Chavali, P., et al.: Distributed power system state estimation using factor graphs. IEEE Trans. Signal. Process. 63(11), 2864–2876 (2015)MathSciNetCrossRef
2.
go back to reference Kayastha, N., et al.: Smart grid sensor data collection, communications, and networking: a tutorial. Wireless Comm. Mobile Comput. 14(11), 1055–1087 (2014)CrossRef Kayastha, N., et al.: Smart grid sensor data collection, communications, and networking: a tutorial. Wireless Comm. Mobile Comput. 14(11), 1055–1087 (2014)CrossRef
3.
go back to reference Li, Y.: Fully distributed state estimation of smart grids. In: Proc. of the Int. Conf. Comm., pp. 6580–6585 (2012) Li, Y.: Fully distributed state estimation of smart grids. In: Proc. of the Int. Conf. Comm., pp. 6580–6585 (2012)
4.
go back to reference Liang, H., Abdrabou, A., et al.: Stochastic information management for voltage regulation in smart distribution systems. In: Proc. of the INFOCOM, pp. 2652–2660 (2014) Liang, H., Abdrabou, A., et al.: Stochastic information management for voltage regulation in smart distribution systems. In: Proc. of the INFOCOM, pp. 2652–2660 (2014)
5.
go back to reference Wang, X., Liang, Q.: Stabilizing the power sin microgrid using sensor selection. In: Proc. of the Global Comm. Conf., pp. 3513–3518 (2012) Wang, X., Liang, Q.: Stabilizing the power sin microgrid using sensor selection. In: Proc. of the Global Comm. Conf., pp. 3513–3518 (2012)
6.
go back to reference Meliopoulos, A.P., et al.: Smart grid technologies for autonomous operation and control. IEEE Trans. Smart Grid. 2(1), 1–10 (2011)CrossRef Meliopoulos, A.P., et al.: Smart grid technologies for autonomous operation and control. IEEE Trans. Smart Grid. 2(1), 1–10 (2011)CrossRef
7.
go back to reference Vetrivelan, P., et al.: Chapter 13: A neural network based automatic crop monitoring robot for agriculture. In: The IoT and the Next Revolutions Automating the World, pp. 203–212. IGI Global, Hershey, PA (2019) Vetrivelan, P., et al.: Chapter 13: A neural network based automatic crop monitoring robot for agriculture. In: The IoT and the Next Revolutions Automating the World, pp. 203–212. IGI Global, Hershey, PA (2019)
8.
go back to reference Weng, Y., Negi, R., Ilic, M.D.: Graphical model for state estimation in electric power systems. In: Proc. of the Int. Conf. on Smart Grid Comm., p. 108 (2013) Weng, Y., Negi, R., Ilic, M.D.: Graphical model for state estimation in electric power systems. In: Proc. of the Int. Conf. on Smart Grid Comm., p. 108 (2013)
9.
go back to reference Kamalinejad, P., et al.: Wireless energy harvesting for the Internet of Things. IEEE Commun. Mag. 53(6), 102–108 (2015)CrossRef Kamalinejad, P., et al.: Wireless energy harvesting for the Internet of Things. IEEE Commun. Mag. 53(6), 102–108 (2015)CrossRef
10.
go back to reference Adila, A.S., Husam, A., Husi, G.: Towards the self-powered Internet of Things (IoT) by energy harvesting: trends and technologies for green IoT. In: Second International Symposium on Small-Scale Intelligent Manufacturing Systems (SIMS), Cavan, pp. 1–5 (2018) Adila, A.S., Husam, A., Husi, G.: Towards the self-powered Internet of Things (IoT) by energy harvesting: trends and technologies for green IoT. In: Second International Symposium on Small-Scale Intelligent Manufacturing Systems (SIMS), Cavan, pp. 1–5 (2018)
11.
go back to reference Park, H., et al.: Energy harvesting using thermoelectricity for IoT (Internet of Things) and E-skin sensors. J. Phys. Energy. 1(4), 042001 (2019)CrossRef Park, H., et al.: Energy harvesting using thermoelectricity for IoT (Internet of Things) and E-skin sensors. J. Phys. Energy. 1(4), 042001 (2019)CrossRef
12.
go back to reference Yogeshwaran, K., et al.: Design and Analysis of Efficient Special Modern Adder, pp. 1–77. Lambert Academic Publishing, Germany (2019) Yogeshwaran, K., et al.: Design and Analysis of Efficient Special Modern Adder, pp. 1–77. Lambert Academic Publishing, Germany (2019)
13.
go back to reference Liang, H., et al.: Stochastic modeling & optimization in a microgrid: a survey. Energies. 7(4), 2027–2050 (2014)CrossRef Liang, H., et al.: Stochastic modeling & optimization in a microgrid: a survey. Energies. 7(4), 2027–2050 (2014)CrossRef
14.
go back to reference Wang, Y., et al.: Decentralized communication and control systems for power system operation. IEEE Trans. Smart Grid. 6(2), 885–893 (2015)CrossRef Wang, Y., et al.: Decentralized communication and control systems for power system operation. IEEE Trans. Smart Grid. 6(2), 885–893 (2015)CrossRef
15.
go back to reference Garg, N., Garg, R.: Energy harvesting in IoT devices: a survey. In: 2017 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, pp. 127–131 (2017) Garg, N., Garg, R.: Energy harvesting in IoT devices: a survey. In: 2017 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, pp. 127–131 (2017)
16.
go back to reference Udayakumar, E., et al.: An event based neural network architecture with content addressable memory. Int. J. Embedd. Real-Time Commun. Syst. 11(1), 23–40 (2020)MathSciNetCrossRef Udayakumar, E., et al.: An event based neural network architecture with content addressable memory. Int. J. Embedd. Real-Time Commun. Syst. 11(1), 23–40 (2020)MathSciNetCrossRef
17.
go back to reference Vetrivelan, P., et al.: Design of smart surveillance security system based on wireless sensor network. Int. J. Res. Stud. Sci. Eng. Technol. 4(5), 23–26 (2017) Vetrivelan, P., et al.: Design of smart surveillance security system based on wireless sensor network. Int. J. Res. Stud. Sci. Eng. Technol. 4(5), 23–26 (2017)
18.
go back to reference Kanagaraj, T., et al.: Foot pressure measurement by using ATMEGA 164 microcontroller. Adv. Nat. Appl. Sci. 10(13), 224–228 (2016) Kanagaraj, T., et al.: Foot pressure measurement by using ATMEGA 164 microcontroller. Adv. Nat. Appl. Sci. 10(13), 224–228 (2016)
19.
go back to reference Srihari, K., et al.: Automatic battery replacement of robot. Adv. Nat. Appl. Sci. 9(7), 33–38 (2015) Srihari, K., et al.: Automatic battery replacement of robot. Adv. Nat. Appl. Sci. 9(7), 33–38 (2015)
20.
go back to reference Vetrivelan, P., et al.: PAPR reduction for OQAM/OFDM signals using optimized iterative clipping and filtering technique. In: Proceedings of IEEE International Conference on Soft-Computing and Network Security (ICSNS‘15), p. 72. SNS College of Technology, Coimbatore (2015) Vetrivelan, P., et al.: PAPR reduction for OQAM/OFDM signals using optimized iterative clipping and filtering technique. In: Proceedings of IEEE International Conference on Soft-Computing and Network Security (ICSNS‘15), p. 72. SNS College of Technology, Coimbatore (2015)
21.
go back to reference Santhi, S., et al.: SoS emergency ad-hoc wireless network. In: Computational Intelligence and Sustainable Systems (CISS), EAI/Springer Innovations in Communications and Computing, pp. 227–234 (2019) Santhi, S., et al.: SoS emergency ad-hoc wireless network. In: Computational Intelligence and Sustainable Systems (CISS), EAI/Springer Innovations in Communications and Computing, pp. 227–234 (2019)
22.
go back to reference Santhi, S. et al.: Design and implementation of area and delay efficient FXLMS filter for active noise cancellation. In: Computational Intelligence and Sustainable Systems (CISS), EAI/Springer Innovations in Communications and Computing, pp. 115–129 (2019) Santhi, S. et al.: Design and implementation of area and delay efficient FXLMS filter for active noise cancellation. In: Computational Intelligence and Sustainable Systems (CISS), EAI/Springer Innovations in Communications and Computing, pp. 115–129 (2019)
23.
go back to reference Alsharif, M.H., et al.: Energy harvesting techniques for wireless sensor networks/radio-frequency identification: a review. Symmetry. 11, 865 (2019)CrossRef Alsharif, M.H., et al.: Energy harvesting techniques for wireless sensor networks/radio-frequency identification: a review. Symmetry. 11, 865 (2019)CrossRef
24.
go back to reference Patnaikuni, D., Patnaikuni, S.: A model approach towards energy harvesting and battery less self powered Internet of Things (IoT) applications. Int. J. Res. Advent Technol. 6(6), 1038–1041 (2018) Patnaikuni, D., Patnaikuni, S.: A model approach towards energy harvesting and battery less self powered Internet of Things (IoT) applications. Int. J. Res. Advent Technol. 6(6), 1038–1041 (2018)
Metadata
Title
A Novel Approach on Renewable Energy Harvesting Using Internet of Things (IoT)
Authors
S. Chandragandhi
E. Udayakumar
K. Srihari
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-52624-5_17

Premium Partner