000			02092nam a22002537a 4500
003			OSt
005			20231019114331.0
008			230221b ||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM
050		0	_aTK 1056 _bP37 2022
100	1		_aBernardez, Bernadette E. _eauthor
245	0	0	_aParticle swarm optimization perturb and observe (PSO P&O) based maximum power point tracker (MPPT) for Azimuthal altitude dual axis solar tracker and hybrid cooling solar PV panel/ _cBernadette E. Bernardez, Dexter N. Butlig, Gideon Paul Elijah S. Conejos, Diether L. Fullante, Kyle Nicole R. Rosello, and Ronald T. Rosete
260			_aManila: _bTechnological University of the Philippines, _c2023
300			_a161pages: _c28cm. _e+CD
504			_aIncludes bibliography
520			_aSolar panels, although useful in harvesting energy through sunlight, are not efficient enough to concentrate the usable energy to loads. Several reasons for this occurrence are the lack of concentration of sunlight and even high temperature affects the energy conversion. The proponents utilized an azimuth-altitude solar tracker for maximizing the sunlight direction into the PV cells and a hybrid cooling system using air and water to maintain between 30 to 35 °C through Arduino Mega2560. The MPPT system of the design compares the power in the input and the loads using the buck-boost converter. The researchers are successful in designing the PSO-P&O based MPPT using Arduino microcontroller and buck-boost converter for solar charge controller with an efficiency of 25.024% up to 31.009%. The PSO-P&O based MPPT has an average efficiency of 28.375% with 28% efficiency while ANFIS has 24%. If cost-effectiveness is taken as consideration ANFIS has a larger cost-benefit ratio than PSO-P&O with a difference of 0.123
650	1	0	_aSolar power
700	1		_aButlig, Dexter N. _eauthor
700	1		_aConejos, Gideon Paul Elijah S. _eauthor
700	1		_aFullante, Diether L. _eauthor
700	1		_aRosello, Kyle Nicole R. _eauthor
700	1		_aRosete, Ronald T. _eauthor
942			_2lcc _cBTH
999			_c3829 _d3829