Smart Energy in Home/Microgrid for Green Building
Faisal D Alajmi1, Hadyan Ali Alajmi2
1Eng. Faisal D Alajmi, Specialist Trainer (B) in Public Authority for Applied Education and Training. California state university – Fresno. Kuwait.
2Eng. Hadyan Ali Alajmi, Specialist Trainer (B) in Public Authority for Applied Education and Training. the University of Arab Academy for Science, Technology, and Transport. Kuwait
Manuscript received on 26 May 2022 | Revised Manuscript received on 30 May 2022 | Manuscript Accepted on 15 July 2022 | Manuscript published on 30 July 2022 | PP: 40-45 | Volume-11 Issue-2, July 2022 | Retrieval Number: 100.1/ijrte.B70590711222 | DOI: 10.35940/ijrte.B7059.0711222
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research aims to provide such conditions in smart home applications, which monitor and control energy resources, in addition to evaluating the microgrid system whose function depends on economic strategies. MATLAB Simulink was built to manage home energy using the microgrid system. Measurements of the three signals represent that there was a decrease in energy consumption after using the Microgrid system. Two scenarios or cases were used to make a comparison of the performance after the addition of the PV array to the system. The electrical load is distributed in the late night and morning when the cost of energy purchased is minimum. At the same time, the daily production of energy by the PV is approximately around 4 MW in the interval between 6 am and 5 pm. The excess energy is stored to be used in the greatest power need periods (peak period). Some power may overflow during the day, and it can be sold to the local network at a certain price (usually less than the purchase price). Energy may increase during the day and overflow; in this case, part of it is sold to local networks at less cost than the purchase. Also, there is a reduction in the cost in the two previously mentioned cases from 1008.56 to -39.42 € due to the comprehensive management of the smart energy software by scheduling the use of electrical loads in the time windows between the start time and the end time according to change in price to get the minimum cost. In view of the use of (PV) and battery storage system, expenditure costs are also decreased, and the customer benefits from the surplus energy by injecting 26.66 kW into the grid and selling the surplus kilowatt to the local network as well.
Keywords: Home Microgrids, Photovoltaic (PV) Panel, MATLAB Simulink, Renewable Energy, Management of Home Energy.
Scope of the Article: Renewable Energy Technology