000			a
999			_c17529 _d17529
003			OSt
005			20220914101501.0
008			220914b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_917908 _aAgarwal, Anshul
245			_aNovel approach to save energy by detecting faulty HVACs
250			_aVol.103(2), Apr
260			_aNew York _bSpringer _c2022
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
773	0		_x2250-2106 _tJournal of the institution of engineers (India): Series B
856			_uhttps://link.springer.com/article/10.1007/s40031-021-00666-7#auth-Anshul-Agarwal _yClick here
942			_2ddc _cAR