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008 | 220914b xxu||||| |||| 00| 0 eng d | ||
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_aAIKTC-KRRC _cAIKTC-KRRC |
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100 |
_917908 _aAgarwal, Anshul |
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245 | _aNovel approach to save energy by detecting faulty HVACs | ||
250 | _aVol.103(2), Apr | ||
260 |
_aNew York _bSpringer _c2022 |
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300 | _a305-311p. | ||
520 | _aStudies have shown that heating ventilation and air-conditioning (HVAC) systems are the major contributors to the high energy consumption of buildings. This has some serious deleterious effects on the environment. Thus, to reduce and optimize the energy consumption, it is important for the HVACs to work efficiently at all times. Existing techniques have focused on the optimal usage of HVACs for minimizing the energy consumption of buildings. This paper offers a pragmatic and holistic solution for saving energy in smart buildings by detecting faulty HVACs using power consumption and temperature data only. The developed approach is applied to a building consisting of forty-eight HVACs and is situated in Mumbai. A total of thirty-one HVACs were detected to be faulty. The results indicate that about 46% of energy can be saved if all the HVACs operating in the building are free of faults. This is an impressive saving in energy consumption, which demonstrates the effectiveness of this novel approach. | ||
650 | 0 |
_94642 _aHumanities and Applied Sciences |
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773 | 0 |
_x2250-2106 _tJournal of the institution of engineers (India): Series B |
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856 |
_uhttps://link.springer.com/article/10.1007/s40031-021-00666-7#auth-Anshul-Agarwal _yClick here |
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_2ddc _cAR |