Optical and thermal properties of P2O5–Na2O–CaO–Al2O3:CoO glasses doped with transition metals

Colak, S. Cetinkaya; Aral, Erinc

doi:10.1016/j.jallcom.2011.01.172

Cited by 23 publications

(10 citation statements)

References 31 publications

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“…monovalent Cu 1+ and divalent Cu 2+ . The glasses containing Cu 2+ ions showed a broad absorption band and no absorption band was observed due to Cu 1+ ions in the UV-Visible region [23]. The free ion term of octahedral symmetry for Cu 2+ ion being 3d 9 in a ligand field, experiences a strong Jahn-Teller distortion which leads to the splitting of energy levels.…”

Section: Optical Absorptionmentioning

confidence: 97%

Effect of alkaline earths on spectroscopic and structural properties of Cu2+ ions-doped lithium borate glasses

Bhogi

Kumar

Kistaiah

2015

Journal of Non-Crystalline Solids

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Section: Optical Absorptionmentioning

confidence: 97%

Effect of alkaline earths on spectroscopic and structural properties of Cu2+ ions-doped lithium borate glasses

Bhogi

Kumar

Kistaiah

2015

Journal of Non-Crystalline Solids

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“…It is well known that copper exists in glasses the forms of Cu 2 + and Cu + ions. While Cu + ions have no absorption in the UV-VIS region, the Cu 2 + ions have a strong absorption [21]. The free ion term for Cu 2 + ion (3d 9 ) is 2 D. In a ligand field of octahedral symmetry the 2 D ground state splits into the e g and t 2g states.…”

Section: Discussionmentioning

confidence: 99%

“…Copper ions have been frequently used as paramagnetic probes for exploring the structure and properties of glasses. A large number of interesting studies are available on the environment of copper ion in glasses [19][20][21][22][23]. Thus, in glasses, copper ions exist in two stable ionic states, the divalent Cu 2 + and monovalent Cu + ions, and may also exist as metallic copper [19].…”

Section: Introductionmentioning

confidence: 99%

The effect of copper ions addition on structural and optical properties of zinc borate glasses

Ştefan

Culea

Păşcuţă

2012

Journal of Non-Crystalline Solids

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“…A maximum 3 • C temperature difference between the front glass and cell centre would have a negligible effect on the corresponding layer mass heat capacity value and further on (mc p ) ef. This is justified by studies evaluating the effect of temperature on material mass heat capacity and conductivity, such as [28], whereby the mass heat capacity and conductivity of the glass, which is the main contributor in (mc p ) ef , remains nearly constant in the temperature range of 20-70 • C, which is the typical PV temperature range observed during outdoor operation at a wide range of environmental conditions. The effect of 3 • C temperature difference on (mc p ) glass is estimated 0.5%.…”

Section: Of 20mentioning

confidence: 99%

Dynamic Electro-Thermal PV Temperature and Power Output Prediction Model for Any PV Geometries in Free-Standing and BIPV Systems Operating under Any Environmental Conditions

Kaplani

Kaplanis

2020

Energies

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PV temperature significantly affects the module’s power output and final system yield, and its accurate prediction can serve the forecasting of PV power output, smart grid operations, online PV diagnostics and dynamic predictive management of Building Integrated Photovoltaic (BIPV) systems. This paper presents a dynamic PV temperature prediction model based on transient Energy Balance Equations, incorporating theoretical expressions for all heat transfer processes, natural convection, forced convection, conduction and radiation exchanges between both module sides and the environment. The algorithmic approach predicts PV temperature at the centre of the cell, the back and the front glass cover with fast convergence and serves the PV power output prediction. The simulation model is robust, predicting PV temperature with high accuracy at any environmental conditions, PV inclination, orientation, wind speed and direction, and mounting configurations, free-standing and BIPV. These, alongside its theoretical basis, ensure the model’s wide applicability and clear advantage over existing PV temperature prediction models. The model is validated for a wide range of environmental conditions, PV geometries and mounting configurations with experimental data from a sun-tracking, a fixed angle PV and a BIPV system. The deviation between predicted and measured power output for the fixed-angle and the sun-tracking PV systems was estimated at −1.4% and 1.9%, respectively. The median of the temperature difference between predicted and measured values was as low as 0.5 °C for the sun-tracking system, and for all cases, the predicted temperature profiles were closely matching the measured profiles. The PV temperature and power output predicted by this model are compared to the results produced by other well-known PV temperature models, illustrating its high predictive capacity, accuracy and robustness.

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Optical and thermal properties of P2O5–Na2O–CaO–Al2O3:CoO glasses doped with transition metals

Cited by 23 publications

References 31 publications

Effect of alkaline earths on spectroscopic and structural properties of Cu2+ ions-doped lithium borate glasses

Effect of alkaline earths on spectroscopic and structural properties of Cu2+ ions-doped lithium borate glasses

The effect of copper ions addition on structural and optical properties of zinc borate glasses

Dynamic Electro-Thermal PV Temperature and Power Output Prediction Model for Any PV Geometries in Free-Standing and BIPV Systems Operating under Any Environmental Conditions

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