Usage pattern monitoring based on battery levels for standalone residential system

  • Authors

    • Oyinkanola Lateef. O. Adewale The Polytechnic,Ibadan.Nigeria.
    • Sawal Hamid Bin Md Ali Universiti Kebangsaan Malaysia, Selangor, Malaysia.
    • Akande Ademola
    2019-07-14
    https://doi.org/10.14419/ijet.v7i4.11528
  • Renewable Energy, Monitoring, State of Charge, Residential.

  • Abstract

    Non-availability of constant electricity with the reduction of energy consumption has become important issues for many people, especially those living in areas where there is a problem of electricity. True consumption and timely feedback are essential to support those who want to adjust their behavior in order to conserve energy. In this work, we proposed an interactive system that provides information on the state of the batteries, energy usage pattern in the house and schedule control so that there will be all round electricity rather than occasional blackout. Monitoring and control sensors for stand-alone power generation and control unit are based on three things: electrical consumption data from selected appliances, the time of usage i.e. priority of the appliance and the level of the battery at a particular time. This system will assist to encouragement in the use of renewable energy, especially those that use batteries as their backups such as window solar energy. Also, by self-monitoring for battery level will prolong the time of the system and will save the battery from the high depth of discharge in order to prevent the critical point of no return. Finally, the system can identify the highest consumption appliances and how to minimize the use of such on the battery for renewable energy.

     

     

  • References

    1. [1] Vasisht, S.M. and S.K. Ramasesha, Forecast of solar power: a key to power management and environmental protection. Clean Technologies and Environmental Policy, 2017. 19(1): p. 279-286. https://doi.org/10.1007/s10098-016-1199-7.

      [2] Emodi, V.N., S.D. Yusuf, and K.-J. Boo, the necessity of the development of standards for renewable energy technologies in Nigeria. Smart Grid and Renewable Energy, 2014. 5(11): p. 259. https://doi.org/10.4236/sgre.2014.511024.

      [3] Kondalaiah, J. and I. Rahul, PHOTOVOLTAIC BASED HIGH-EFFICIENCY SINGLE-INPUT MULTIPLE-OUTPUT DC-DC CONVERTER. 2014.

      [4] Emodi, N.V., and K.-J. Boo, Sustainable energy development in Nigeria: overcoming energy poverty. International Journal of Energy Economics and Policy, 2015. 5(2). https://doi.org/10.1016/j.rser.2015.06.016.

      [5] Pedrasa, M.A.A., T.D. Spooner, and I.F. MacGill, coordinated scheduling of residential distributed energy resources to optimize smart home energy services. IEEE Transactions on Smart Grid, 2010. 1(2): p. 134-143. https://doi.org/10.1109/TSG.2010.2053053.

      [6] Kim, S.-T. and J.-W. Park, Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm. J ElectrEngTechnol, 2014. 9(4): p. 1182-1187. https://doi.org/10.5370/JEET.2014.9.4.1182.

      [7] Molderink, A., et al., Management and control of domestic smart grid technology. IEEE transactions on Smart Grid, 2010. 1(2): p. 109-119. https://doi.org/10.1109/TSG.2010.2055904.

      [8] Sun, Y., et al., Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: a review. Energy conversion and management, 2013. 71: p. 101-114. https://doi.org/10.1016/j.enconman.2013.03.026.

      [9] Heffner, G.C., C.A. Goldman, and M.M. Moezzi, Innovative approaches to verifying demand response of water heater load control. IEEE Transactions on Power Delivery, 2006. 21(1): p. 388-397. https://doi.org/10.1109/TPWRD.2005.852374.

      [10] Zamboni, L., et al. Peak-load period refrigerator control for end-consumer load management. in Innovative Smart Grid Technologies Latin America (ISGT LA), 2013 IEEE PES Conference On. 2013. IEEE. https://doi.org/10.1109/ISGT-LA.2013.6554371.

      [11] Son, Y.-S., et al., Home energy management system based on power line communication. IEEE Transactions on Consumer Electronics, 2010. 56(3). https://doi.org/10.1109/TCE.2010.5606273.

      [12] Zeifman, M. and K. Roth, Nonintrusive appliance load monitoring: Review and outlook. IEEE Transactions on Consumer Electronics, 2011. 57(1). https://doi.org/10.1109/TCE.2011.5735484.

      [13] Siano, P., Demand response and smart grids—A survey. Renewable and Sustainable Energy Reviews, 2014. 30: p. 461-478. https://doi.org/10.1016/j.rser.2013.10.022.

      [14] Palensky, P. and D. Dietrich, Demand side management: Demand response, intelligent energy systems, and smart loads. IEEE transactions on industrial informatics, 2011. 7(3): p. 381-388. https://doi.org/10.1109/TII.2011.2158841.

      [15] Sumathi, S., L.A. Kumar, and P. Surekha, Application of MATLAB/SIMULINK in Solar PV Systems, in Solar PV and Wind Energy Conversion Systems. 2015, Springer. p. 59-143. https://doi.org/10.1007/978-3-319-14941-7_2.

      [16] Kairies, K., et al., Wissenschaftliches Mess und Evaluierungsprogramm Solarstromspeicher–Jahresbericht 2015. Institute for Power Electronics and Electrical Drives, RWTH Aachen: Aachen, Germany, 2016.

      [17] Zeh, A., et al., Fundamentals of using battery energy storage systems to provide primary control reserves in Germany. Batteries, 2016. 2(3): p. 29. https://doi.org/10.3390/batteries2030029.

      [18] Kuwae, N., et al., Wind turbine generator and battery hybrid system. IEEJ Transactions on Power and Energy, 2001. 121(6): p. 715-721. https://doi.org/10.1541/ieejpes1990.121.6_715.

      [19] Baker, N., ZigBee, and Bluetooth: Strengths and weaknesses for industrial applications. Computing and Control Engineering, 2005. 16(2): p. 20-25. https://doi.org/10.1049/cce:20050204.

      [20] Kiehne, H.A., Battery technology handbook. Vol. 118. 2003: CRC Press. https://doi.org/10.1201/9780203911853.

      [21] Schiffer, J., et al., Model prediction for ranking lead-acid batteries according to expected lifetime in renewable energy systems and autonomous power-supply systems. Journal of Power sources, 2007. 168(1): p. 66-78. https://doi.org/10.1016/j.jpowsour.2006.11.092.

      [22] Mubdir, B., A. Al-Hindawi, and N. Hadi, Design of Smart Home Energy Management System for Saving Energy. European Scientific Journal, ESJ, 2016. 12(33). https://doi.org/10.19044/esj.2016.v12n33p521.

      [23] Sick, F. and T. Erge, Photovoltaics in buildings: a design handbook for architects and engineers. 1996: Earthscan.

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  • How to Cite

    Lateef. O. Adewale, O., Hamid Bin Md Ali, S., & Ademola, A. (2019). Usage pattern monitoring based on battery levels for standalone residential system. International Journal of Engineering & Technology, 7(4), 6683-6687. https://doi.org/10.14419/ijet.v7i4.11528

    Received date: 2018-04-14

    Accepted date: 2019-05-12

    Published date: 2019-07-14