Shaban Omary; Anael Sam

Web-Based Two-Way Electricity Monitoring System for Remote Solar Mini-Grids

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Author(s)

1. Department of Communications Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2019.06.03

Received: 9 Sep. 2019 / Revised: 28 Sep. 2019 / Accepted: 15 Oct. 2019 / Published: 8 Nov. 2019

Index Terms

Smart Meter, Internet of Things (IoT), Energy Monitoring, General Packet Radio Service (GPRS), Low Power Wide Area Network (LPWAN), Solar Mini-Grids, ATmega2560.

Abstract

Electricity usage monitoring systems play a vital role towards raising energy utilization awareness for consumers. Existing solar mini-grid infrastructure, however, lacks a user-friendly two-way platform to allow consumers to access information about electricity consumption. This paper proposes a cloud-based, two-way energy usage monitoring system that will allow both utility companies and consumers to access energy consumption data in a user-friendly way through a web platform. The system requirements were collected via questionnaires, interviews, and observations conducted at two solar mini-grids centres located at Arusha and Kilimanjaro regions in Tanzania. The system uses a Low Power Area Network (LPWAN) and the existing GPRS network to monitor electricity consumption data between smart meter units and the cloud server. Also, a virtual bill payment module and usage status feedback functionality have been integrated into the system to increase awareness of the cost-effective use of electricity and hence, achieve the sustainability of solar mini-grids. By using both white-box and black-box system testing approaches, findings show that the system will not only raise awareness among customers about the economical usage of electricity, but it can also be used by mini-grid companies as a source of data to determine current and future energy demands to minimize large investment costs.

Cite This Paper

Shaban Omary, Anael Sam. "Web-Based Two-Way Electricity Monitoring System for Remote Solar Mini-Grids", International Journal of Engineering and Manufacturing(IJEM), Vol.9, No.6, pp.24-41, 2019. DOI: 10.5815/ijem.2019.06.03

Reference

[1]International Energy Agency. Global Energy & CO2 Status Report: The latest trends in energy and emissions in 2018. 2018;21–2.

[2]National Bureau of Statistics. Energy Access Situation Report, 2016. Tanzania Mainland. 2016. 40–42 p.

[3]Chaplin D, Mamun A, Protik A, Schurrer J, Vohra D, Bos K, et al. Grid Electricity Expansion in Tanzania: Findings from a Rigorous Impact Evaluation. Mathematica. 2017;(March):11–2.

[4]Mandelli S, Barbieri J, Mereu R, Colombo E. Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review. Renew Sustain Energy Rev. 2016;58:1621–46.

[5]Ahlborg H, Hammar L. Drivers and barriers to rural electrification in Tanzania and Mozambique – grid extension, off-grid and renewable energy sources. 2011.

[6]International Bank for Reconstruction and Development. State of Electricity Access Report 2017 [Internet]. 2017. 51 p. Available from: http://elibrary.worldbank.org/doi/book/10.1596/26646

[7]Odarno L, Sawe E, Swai M, Katyega MJJ, Lee A. ACCELERATING MINI- GRID DEPLOYMENT IN SUB-SAHARAN AFRICA. :6–7.

[8]Hartvigsson E, Ehnberg J, Ahlgren E, Molander S. Assessment of load profiles in minigrids: A case in Tanzania. Proc Univ Power Eng Conf. 2015;15:1–5.

[9]Vine D, Buys L, Morris P. The Effectiveness of Energy Feedback for Conservation and Peak Demand: A Literature Review. Open J Energy Effic. 2013;02(01):7–15.

[10]Kovacs D, Kovatsch M. Communication Technologies for Smart Objects. 2014;1–8.

[11]Alahakoon D, Yu X. Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey. IEEE Trans Ind Informatics. 2016;12(1):425–36.

[12]Palaniappan S, Asokan R, Bharathwaj S, N S. Automated Meter Reading System - A Study. Int J Comput Appl. 2015;116(18):39–46.

[13]Garcia FD, Marafão FP, Angelino De Souza W, Pereira Da Silva C. Power Metering: History and Future Trends. 2017 [cited 2018 Oct 26];29–30. Available from: https://www.computer.org/csdl/proceedings/greentech/2017/4535/00/07923934.pdf

[14]Alahakoon D, Yu X. Advanced analytics for harnessing the power of smart meter big data. Proc - 2013 IEEE Int Work Intell Energy Syst IWIES 2013 [Internet]. 2013;40–5. Available from: https://ieeexplore.ieee.org/abstract/document/6698559

[15]TCRA. January-March 2019 Operators ’ Submissions [Internet]. 2019. Available from: https://www.tcra.go.tz/images/headlines/TelCom_Statistics_March_2019.pdf

[16]Marie-Claire F, Dominique H-M. Mobile Web Applications. Pro HTML5 with Vis Stud 2015. 2015;139–65.

[17]Ashna, K.; Sudhish G. GSM Based Automatic Energy Meter System with Instant Billing. Int J Adv Res Electr Electron Instrum Energy. 2013;65–72.

[18]Singh D, Jain P. IoT BASED SMART. 2016;5(7):2080–4.

[19]Joshi DSA, Kolvekar S, Raj YR, Singh SS. IoT Based Smart Energy Meter. Bonfring Int J Res Commun Eng. 2017;6(Special Issue):89–91.

[20]Jain S, Pradish M, Paventhan A, Saravanan M. ISGW 2017: Compendium of Technical Papers [Internet]. Vol. 487. Springer Singapore; 2018. 19–28 p. Available from: http://link.springer.com/10.1007/978-981-10-8249-8

[21]Pandit Miss SnehaMandhre Miss MeghanaNichal S. Smart Energy Meter using internet of Things (IoT). VJER-Vishwakarma J Eng Res [Internet]. 2017;1(2):222–9. Available from: http://www.vjer.in/vol1issue2/vjer010228.pdf

[22]Barman BK, Yadav SN, Kumar S, Gope S. Energy Utilization in Smart Grid. 2018 2nd Int Conf Power, Energy Environ Towar Smart Technol. 2018;2–4.

[23]Hassan Mir S, Ashruf S, Bhat Y, Beigh N. Review on Smart Electric Metering System Based on GSM/IOT. Asian J Electr Sci [Internet]. 2019;8(1):1–6. Available from: www.trp.org.in

[24]Ugonna EE, Ademola AK, Olusegun AT. Design and construction of a smart electric metering system for smart grid applications: Nigeria as a case study. 2018;(July):800–4.

[25]Matthews VO, Adekitan AI, Idiake US, Noma- E. Wireless Intelligent Electricity Metering and Billing System ( WIMBIS ) Abstract : 2018;4(4):57–61.

[26]Etikan I, Musa SA, Alkassim RS. Comparison of Convenience Sampling and Purposive Sampling. 2016;5(1):1–4.

[27]Lewis S. Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Health Promot Pract. 2015;16(4):473–5.

[28]Voigt BJ. J. Dynamic System Development Method. Technology [Internet]. 2004;(January):18. Available from: https://files.ifi.uzh.ch/rerg/arvo/courses/seminar_ws03/14_Voigt_DSMD_Ausarbeitung.pdf

[29]Yu X, Yi C. Design and implementation of the website based on PHP & MYSQL. 2010 Int Conf E-Product E-Service E-Entertainment, ICEEE2010. 2010;

[30]Nixon R. PHP, MySQL,JavaScript & CSS. 2012. 582 p.

[31]Almeida F. Creation of Charts with PHP, HTML5 and Javascript. 2017;(January 2016).

[32]Tanzania Invest. Tanzania Mobile Money Market [Internet]. 2019. 2019 [cited 2019 Sep 4]. Available from: https://www.tanzaniainvest.com/mobile-money

[33]Nexmo API Platform. SMS API For Your Business | Nexmo The Vonage API Platform [Internet]. 2017. 2018 [cited 2019 Sep 4]. Available from: https://www.nexmo.com/products/sms

[34]Sawant AA, Bari PH, Chawan P. Software Testing Techniques and Strategies. J Eng Res Appl. 2012;2(3):980–6.

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