Solar Irradiance Model for Solar Electric Panels and Solar Thermal Collectors in Lithuania

Vasarevičius, Dominykas; Martavičius, R.

doi:10.5755/j01.eee.108.2.132

Cited by 13 publications

(12 citation statements)

References 3 publications

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“…As the technology evolves and the price of fossil fuel resources grows rapidly, the increasing focus on renewable energy resources is observed [1]. Recently, energy conservation and reduction of global warming effect become one of the most important subjects in the worldwide.…”

Section: Introductionmentioning

confidence: 99%

Experimental Performance Evaluation of a PV-Powered Refrigeration System

Ekren

Yılancı

Cetin

et al. 2011

ElAEE

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Performance Evaluation of a PV-Powered Refrigeration System // Electronics and Electrical Engineering. -Kaunas: Technologija, 2011. -No. 8(114). -P. 7-10.This paper presents cool-down, and steady state performance of a 76 W direct current operated household refrigerator powered by a photovoltaic (PV) solar panel and a battery bank. Exergy method has been conducted to investigate of the performance of the PV powered household refrigerator. Experiments are conducted with different cooling loads. In use of this type system, it can be said that over-loaded condition in the refrigerator should be avoided. From the obtained results, it is seen that exergy efficiency of the system is very low due to the low energy conversion and exergy efficiencies of the PVs. This situation is also seen from exergy destruction values. For all cases, exergy is destroyed highly in the PVs. Ill. 1, bibl. 8, tabl. 2 (in English; abstracts in English and Lithuanian). O. Ekren,A. Yilanci, E. Cetin, H. K. Ozturk. Naudojančios vėsinimo sistemos Fotogalvaninius elementus eksperimentinis našumo tyrimas // Elektronika ir elektrotechnika. -Kaunas: Technologija, 2011. -Nr. 8(114). -P. 7-10.Aprašoma kaip veikia plokštė, sudaryta iš fotogalvaninių elementų, ir baterijų pritaikymas buitiniam šaldytuvui. Didinant fotogalvaninių elementų našumą, buvo atliktas eksergijos metodo tyrimas, esant skirtingoms vėsinimo apkrovoms. Nustatyta, kad, naudojant tokią sistemą reikia, vengti didelių sistemos apkrovų. Sistemos eksergijos efektyvumas, įskaitant ir fotogalvaninių elementų našumą, yra labai mažas. Il. 1, bibl. 8, lent. 2 (anglų kalba; santraukos anglų ir lietuvių k.).

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Section: Introductionmentioning

confidence: 99%

Experimental Performance Evaluation of a PV-Powered Refrigeration System

Ekren

Yılancı

Cetin

et al. 2011

ElAEE

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“…As described in previous work (Vasarevičius, Martavičius 2011), direct solar insolation EH ( ) I n falling to the horizontal ground plane can be derived geometrically from Earth's orbit around the Sun, Earth's rotation around its own axis and heel of axis. Also solar beam attenuation in atmosphere has to be assumed:…”

Section: Direct Solar Radiationmentioning

confidence: 99%

“…To make model local time dependent, longitude difference angle between local noon meridian and the location A M ∆φ is replaced with the following expression: -solar noon time correction due to Earth's elliptical orbit around the sun on n-th day, h (Vasarevičius, Martavičius 2011). Angle M ∆φ is sometimes referred as hour angle and can be used to calculate azimuth angle S CT ( ) t α :…”

Section: Direct Solar Radiationmentioning

confidence: 99%

Solar Radiation Model for Development and Control of Solar Energy Sources / Saulės Spinduliavimo Modelis Fotovoltinių Elektrinių Projektavimui Ir Valdymui

Vasarevičius

Pikutis

2016

Mokslas – Lietuvos Ateitis

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ELEKTroNIKa Ir ELEKTroTEChNIKa ELECTroNICS aNd ELECTrICaL ENGINEErINGIn previous work a model for a clear sky direct solar irradiance was presented (Vasarevičius, Martavičius 2011). Estimating only direct component is usually enough when analysing solar thermal collectors, but PV modules also gain benefit from diffused and especially reflected radiation components when the surrounding environment has high albedo (e. g. snow, water ponds in evening and morning). Presented model is implemented in Matlab/Simulink environment and generates total solar irradiation values at a given location, described by geographical coordinates and altitude for any time of the year. Model also outputs Zenith and azimuth angles, which can be used for sun tracking applications. Due to this many analytic expressions are used, to meet computational possibilities of embedded devices and increase modelling speed in Matlab.Some control systems like MPPT tracking are very sensitive to rapidly varying solar radiation due to clouds and usually have reduced efficiency in such conditions. The main aim of presented model is development of MPPT algorithms, so the model of cloud layer simulation is included. Abstract. The model of solar radiation, which takes into account direct, diffused, and reflected components of solar energy, has been presented. Model is associated with geographical coordinates and local time of every day of the year. It is shown that using analytic equations for modelling the direct component, it is possible to adopt it for embedded systems with low computational power and use in solar tracking applications. Reflected and diffused components are especially useful in determining the performance of photovoltaic modules in certain location and surroundings. The statistical method for cloud layer simulation based on local meteorological data is offered. The presented method can't be used for prediction of weather conditions but it provides patterns of solar radiation in time comparable to those measured with pyranometer. Cloud layer simulation together with total solar radiation model is a useful tool for development and analysis of maximum power point tracking controllers for PV modules.

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“…This paper presents analysis of IncCond MPPT algorithm and comparison of operation with and without ANN. Mathematical models used for simulation are described in [5].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Networks for Maximum Power Point Tracking of Photovoltaic Panels

Vasarevičius

Martavičius

Pikutis

2012

ElAEE

Self Cite

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Maximum power point tracking technique for PV panels with support of online learning artificial neural network is offered. Mathematical model of the system is implemented in Matlab/Simulink environment. Maximum power point tracking is performed using IncCond algorithm and radial basis function artificial neural network. Several criteria for estimation of system performance were derived. It is shown that ANN can increase overall system efficiency by 10%.

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Solar Irradiance Model for Solar Electric Panels and Solar Thermal Collectors in Lithuania

Cited by 13 publications

References 3 publications

Experimental Performance Evaluation of a PV-Powered Refrigeration System

Experimental Performance Evaluation of a PV-Powered Refrigeration System

Solar Radiation Model for Development and Control of Solar Energy Sources / Saulės Spinduliavimo Modelis Fotovoltinių Elektrinių Projektavimui Ir Valdymui

Application of Artificial Neural Networks for Maximum Power Point Tracking of Photovoltaic Panels

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