Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method

Table 3

Design of Taguchi’s L₉ orthogonal array and experimental results for different outputs.

Run	Factor levels				Designation	Obtained outputs			Calculated S/N ratios for
	A	B	C	D		BGP yield (mL/gVS)	BMP yield (mL/gVS)	CODS removal (%)	BGP yield	BMP yield	CODS removal
1	33	36	15	6	A1B1C1D1	167.39 ± 16.92	79.58 ± 8.85	68.81 ± 11.96	44.34	37.87	36.35
2	44	36	30	18	A2B1C2D3	240.01 ± 5.25	124.09 ± 6.84	69.85 ± 13.16	47.60	41.83	36.40
3	44	46	0	6	A2B2C3D1	270.99 ± 7.87	126.78 ± 6.74	57.69 ± 3.19	48.65	42.03	35.18
4	33	46	30	11	A1B2C2D2	136.28 ± 3.18	67.76 ± 9.21	−123.25 ± 12.96	42.68	36.35	33.26
5	55	56	30	6	A3B3C2D1	104.02 ± 5.83	61.64 ± 5.35	−81.33 ± 25.72	40.30	35.70	35.89
6	55	46	15	18	A3B2C1D3	86.54 ± 10.15	41.11 ± 6.77	80.57 ± 0.40	38.56	31.86	38.12
7	33	56	0	18	A1B3C3D3	17.07 ± 0.92	9.34 ± 1.73	−263.42 ± 00	24.60	18.96	48.41
8	44	56	15	11	A2B3C1D2	25.55 ± 1.51	13.62 ± 3.16	−91.95 ± 29.89	28.10	21.81	37.81
9	55	36	0	11	A3B1C3D2	140.11 ± 0.31	69.98 ± 4.79	77.44 ± 4.03	42.93	36.83	37.75
Control 1	-	-	-	-	CM:Sludge	302.87 ± 7.71	166.40 ± 5.39	42.57 ± 1.50	-	-	-
Control 2	-	-	-	-	ORWW:Sludge	20.67 ± 2.35	0.00	0.00	-	-	-

Mean ± Stdev.