Biaxial Equatorial Solar Tracker with High Precision and Low Consumption: Modelling and Realization

Table 1

The results of the spring simulation.

Period	δ (°)	Fixed panel (kWh/m^2)	2 axis tracking (kWh/m^2)	Equ. tracking (kWh/m^2)	Gain (%)
20 to 22 Mar	0	20,52	26,38	26,38	28,56
23 to 24 Mar	1	8,76	10,9	10,9	24,43
25 to 27 Mar	2	19,48	24,92	24,92	27,93
28 to 29 Mar	3	13,03	17,05	17,05	30,85
30 Mar to 01 Apr	4	16,46	19,28	19,28	17,13
02 to 03 Apr	5	4,06	4,44	4,44	9,36
04 to 06 Apr	6	20,92	27,11	27,11	29,59
07 to 08 Apr	7	14,7	19,54	19,54	32,93
09 to 11 Apr	8	23,25	31,76	31,76	36,60
12 to 14 Apr	9	23,11	31,57	31,57	36,61
15 to 16 Apr	10	13,27	17,58	17,58	32,48
17 to 19 Apr	11	23,2	32,22	32,22	38,88
20 to 22 Apr.	12	11,41	16,91	16,91	48,20
23 to 25 Apr.	13	19,13	27,66	27,66	44,59
26 to 28 Apr.	14	17,11	22,95	22,95	34,13
29 Apr. to 01 May	15	15	20,91	20,91	39,40
02 to 05 May	16	29,32	40,67	40,67	38,71
06 to 08 May	17	22,6	31,59	31,59	39,78
09 to 12 May	18	21,43	28,59	28,59	33,41
13 to 17 May	19	31,99	46,72	46,72	46,05
18 to 21 May	20	28,33	40,85	40,85	44,19
22 to 27 May	21	42,18	62,35	62,35	47,82
28 May to 03 Jun	22	45,88	66,71	66,71	45,40
04 Jun to 20 Jun	23	64,95	84,75	84,34	29,85
Total		550,09	753,41	753	36,89