Air conditioning for smart home energy management system
Smart load management system with an advanced metering infrastructure operates to monitor the electricity consumption by the load and transferring data to the utility grid. It has direct benefit to the endusers by managing the load. This system has incorporated with home appliance for achieving the...
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2023
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my.uniten.dspace-240062023-05-29T14:54:12Z Air conditioning for smart home energy management system Ashraf A. Faisal M. Parvin K. Ker P.J. Hannan M.A. 57205238682 57215018777 57203309143 37461740800 7103014445 Smart load management system with an advanced metering infrastructure operates to monitor the electricity consumption by the load and transferring data to the utility grid. It has direct benefit to the endusers by managing the load. This system has incorporated with home appliance for achieving the goal of home energy management system (HEMS) such as efficient energy utilization of house by avoiding the wastage. Efficient loading system can strengthen the efficient power utilization and thus can save the economy greatly. Air conditioner (AC), thermostat associated with a room were selected for this purpose as they have the high demand of electricity consumption. This study mainly focuses on developing the mathematical model and simulate it for the considered home appliances to assess the trend of electricity consumption. Research proved that, considering the ambient temperature developed model can provide the specific instructions for automatic controlling of the appliances which will save the electricity consumption and utility bill of endusers compare to the manual operation of the system. Matlab /Simulink software was used to implement and justify the model. � 2018 Authors. Final 2023-05-29T06:54:12Z 2023-05-29T06:54:12Z 2018 Article 10.14419/ijet.v7i4.35.22896 2-s2.0-85059244648 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059244648&doi=10.14419%2fijet.v7i4.35.22896&partnerID=40&md5=8f53239f5199e7af9b89b7ebaf1d5848 https://irepository.uniten.edu.my/handle/123456789/24006 7 4 487 490 All Open Access, Green Science Publishing Corporation Inc Scopus |
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Smart load management system with an advanced metering infrastructure operates to monitor the electricity consumption by the load and transferring data to the utility grid. It has direct benefit to the endusers by managing the load. This system has incorporated with home appliance for achieving the goal of home energy management system (HEMS) such as efficient energy utilization of house by avoiding the wastage. Efficient loading system can strengthen the efficient power utilization and thus can save the economy greatly. Air conditioner (AC), thermostat associated with a room were selected for this purpose as they have the high demand of electricity consumption. This study mainly focuses on developing the mathematical model and simulate it for the considered home appliances to assess the trend of electricity consumption. Research proved that, considering the ambient temperature developed model can provide the specific instructions for automatic controlling of the appliances which will save the electricity consumption and utility bill of endusers compare to the manual operation of the system. Matlab /Simulink software was used to implement and justify the model. � 2018 Authors. |
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57205238682 |
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57205238682 Ashraf A. Faisal M. Parvin K. Ker P.J. Hannan M.A. |
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Ashraf A. Faisal M. Parvin K. Ker P.J. Hannan M.A. |
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Ashraf A. Faisal M. Parvin K. Ker P.J. Hannan M.A. Air conditioning for smart home energy management system |
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Ashraf A. |
title |
Air conditioning for smart home energy management system |
title_short |
Air conditioning for smart home energy management system |
title_full |
Air conditioning for smart home energy management system |
title_fullStr |
Air conditioning for smart home energy management system |
title_full_unstemmed |
Air conditioning for smart home energy management system |
title_sort |
air conditioning for smart home energy management system |
publisher |
Science Publishing Corporation Inc |
publishDate |
2023 |
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1806426248136622080 |
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13.222552 |