000			a
999			_c20364 _d20364
003			OSt
005			20231220105439.0
008			231220b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_922474 _aRoberts, S.
245			_aComparative analysis of five kinetic models for prediction of methane yield
250			_aVol.104(2), Jun
260			_aUSA _bSpringer _c2023
300			_a335-342p.
520			_aA work on the analysis of five kinetic models for predicting methane yield is presented. The selected five common models for predicting methane yield include Gompertz, logistic, first-order, Richards and transfert models. Anaerobic digestion of orange and banana peels was simulated using the selected models. A comparative analysis of the models was carried out to determine the best-fit model. When predicting the methane yield of banana peels, all models reached a maximum of 99.23% and the model which was most accurate was the Gompertz model with 76% cumulative deviation and the least accurate model was the transfert model with 274.7% cumulative deviation. The prediction of methane yield on orange peels was 99.49% accurate for all models having the most accurate model being the Gompertz and first-order kinetic model with a cumulative deviation of 20.67% and the least accurate model being the transfert model with a cumulative deviation of 112%. This work presents the simulation considerations and application for each model.
650		0	_94642 _aHumanities and Applied Sciences
700			_922475 _aMathaka, N.
773	0		_x 2250-2149 _dSwitzerland Springer _tJournal of the institution of engineers (India): Series A
856			_uhttps://link.springer.com/article/10.1007/s40030-023-00715-y _yClick here
942			_2ddc _cAR