Optimization of A Small Scale Dual-Axis Solar Tracking System Using Nanowatt Technology

Rosario, Jay Robert B. del; Gustilo, Reggie C.; Dadios, Elmer P.

doi:10.12720/joace.2.2.134-137

Cited by 4 publications

(2 citation statements)

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“…The slope of the edge is varied until its tangency to the characteristic curve is exactly half way between edge intercepts on the two axes. The four parameters at those conditions (IL-std, I0-std, R and n) can be determined by solving the given 3 instances of equation (7) and its differential at maximum power using suitable software. In the present case, the standard parameters were computed using a MATLAB® script and are given in Table I.…”

Section: 2mentioning

confidence: 99%

“…[3] - [7]) shows that energy gains between 15 and 49% are possible when using different trackers, depending on whether the tracking is on single or on double axis The work in this paper aimed to find out how much electrical energy gain could be obtained from using the invented device at the Bellville campus of CPUTcoordinates: 33.935°S, 18.644°E, 68.5 m. In addition, we wanted to know how predictions by TRNSYS simulation and by a MATLAB® based code using actual weather data, compared to actual energy yields. …”

Section: Introductionmentioning

confidence: 99%

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The new hydro-mechanical solar tracker: Performance testing with a PV panel

Kanyarusoke

Gryzagoridis

2016

2016 International Conference on the Domestic Use of Energy (DUE)

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This paper describes work carried out to test the performance of a newly invented solar tracker. It is a gravity driven, bladder-flow controlled, Hooke coupled inclined non polar axis solar tracker. The performance of the tracker when coupled with a PV panel was first modelled in MATLAB® using the Perez anisotropic diffuse radiation and the King cell temperature models. Experiments with two identical 90 Wp panels were done over a 40 day period in outdoor conditions. One PV panel was fixed on optimised slope, the other, was driven by the tracker about a similarly sloped axis. Weather data consisting of total and diffuse radiation, ambient temperature and wind speed was also collected using a Campbell Scientific weather station adjacent the panels. This data was used to simulate performances of the panels in the MATLAB® model. TRNSYS simulations were also done for the two panels. The three sets of results were compared. It was found that the tracked panel yielded 34% more energy than the fixed one and that the experimental results correlated more closely with the MATLAB® models than with TRNSYS ones. Results also indicated that the efficacy of the tracking device could be influenced by the timing of cloudiness during the day and by wind speed.

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Section: 2mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%