Impact of humidity on current parameters of solar cells

Yıl 2018, Cilt: 2 Sayı: 3, 84 - 96, 30.09.2018

Erdem Cuce , Pinar Mert Cuce , Tulin Bali

https://doi.org/10.30521/jes.441643

Cited By: 4

Öz

In
this research, impacts of relative humidity on current parameters of solar
cells are investigated. An experimental methodology is considered in the
research. Outdoor tests are carried out for two different cell technologies,
monocrystalline (m-Si) and polycrystalline silicon solar cell (p-Si), under
various humidity conditions. Current-voltage (I-V) and power-voltage (P-V)
characteristics are achieved simultaneously for each sample, and the
relationship between the short circuit current (Isc) and relative
humidity is discussed. During the tests, cell temperature of m-Si and p-Si
sample is measured to be in the range of 22.9-36.1 and 21.2-38.9 oC,
respectively. It is unequivocally reported in literature that current
parameters are not noticeably affected by the rise in cell temperature up to 20
oC. Therefore, any deviation from the linearity between solar
intensity level (G) and Isc is attributed to the impact of relative
humidity. The tests repeated for low and moderate solar intensity levels
(257-482 W/m2) reveal that the linear relationship between G and Isc
is maintained for different humidity levels. In  this respect, the impact of humidity level on
current parameters of solar cells is found to be insignificant

Anahtar Kelimeler

Solar cells, Parameter extraction, Solar intensity, Relative humidity, Short circuit current

Kaynakça

• Cuce E. Development of innovative window and fabric technologies for low-carbon buildings. Ph.D. Thesis, The University of Nottingham, 2014.
• Cuce E, Cuce PM, Bali T. An experimental analysis of illumination intensity and temperature dependency of photovoltaic cell parameters. Applied Energy 2013; 111: 374–382.
• Cuce E, Cuce PM. Improving thermodynamic performance parameters of silicon photovoltaic cells via air cooling. International Journal of Ambient Energy 2014; 35(4): 193–199.
• Cuce E, Oztekin EK, Cuce PM. Hybrid photovoltaic/thermal (HPV/T) systems: From theory to applications. Energy Research Journal 2018; (In Press).
• Cuce PM, Cuce E. A novel model of photovoltaic modules for parameter estimation and thermodynamic assessment. International Journal of Low-Carbon Technologies 2012; 7(2): 159–165.
• Cuce E, Cuce PM, Karakas IH, Bali T. An accurate model for photovoltaic (PV) modules to determine electrical characteristics and thermodynamic performance parameters. Energy Conversion and Management 2017; 146: 205–216.
• Daneshazarian R, Cuce E, Cuce PM, Sher F. Concentrating photovoltaic thermal (CPVT) collectors and systems: A comprehensive review. Renewable and Sustainable Energy Reviews 2018; 81(1): 473–492.
• Riffat SB, Cuce E. A review on hybrid photovoltaic/thermal collectors and systems. International Journal of Low-Carbon Technologies 2011; 6(3): 212–241.
• Riffat SB, Cuce E. A review on performance analysis of photovoltaic/thermal collectors. Tenth International Conference on Sustainable Energy Technologies. 4-7 September 2011, Istanbul, Turkey.
• Cuce E, Bali T. Variation of cell parameters of a p-Si PV cell with different solar irradiances and cell temperatures in humid climates. Fourth International Exergy, Energy and Environment Symposium. 19-23 April 2009, Sharjah, United Arab Emirates.
• Cuce E, Bali T. A comparison of energy and power conversion efficiencies of m-Si and p-Si PV cells in Trabzon. Fifth International Advanced Technologies Symposium. 13-15 May 2009, Karabuk, Turkey.
• Cuce E, Bali T. Improving performance parameters of silicon solar cells using air cooling. Fifth International Ege Energy Symposium and Exhibition. 27-30 June 2010, Denizli, Turkey.
• Cuce PM, Cuce E. Passive cooling of building-integrated photovoltaics (BIPVs) for better electrical performance. MEGS IV Annual Conference, Public Engagement with Energy. 12–13 September 2013, Loughborough, United Kingdom.
• Cuce E, Cuce PM. Tilt angle optimization of building-integrated photovoltaics (BIPVs) for cooler operating temperatures. MEGS IV Annual Conference, Public Engagement with Energy. 12–13 September 2013, Loughborough, United Kingdom.
• Daneshazarian R, Cuce E, Cuce PM. An overview of concentrating photovoltaic thermal (CPVT) collectors. Energy Research Journal 2017; 8(1): 11–21.
• Cuce E, Bali T, Sekucoglu SA. Effects of passive cooling on performance of silicon photovoltaic cells. International Journal of Low-Carbon Technologies 2011; 6(4): 299–308.
• Sauer KJ, Roessler T, Hansen CW. Modeling the irradiance and temperature dependence of photovoltaic modules in PVsyst. IEEE Journal of Photovoltaics 2015; 5(1): 152–158.
• Cuce E. Thermodynamic analysis of the effectiveness of different types of PV modules for wet conditions. M.Sc. Thesis, Karadeniz Technical University, 2009.
• Orioli A, Gangi AD. A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data. Applied Energy 2013;102:1160–1177.
• Ciulla G, Brano VL, Di Dio V, Cipriani G. A comparison of different one-diode models for the representation of I–V characteristic of a PV cell. Renewable and Sustainable Energy Reviews 2014; 32:684–696.
• Bouzidi K, Chegaar M, Bouhemadou A. Solar cells parameters evaluation considering the series and shunt resistance. Solar Energy Materials and Solar Cells 2007; 91: 1647–1651.
• Chegaar M, Ouennoughi Z, Guechi F. Extraction DC parameters of solar cells under illumination. Vacuum 2004; 75: 367–372.
• Chegaar M, Ouennoughi Z, Hoffmann A. A new method for evaluating illuminated solar cell parameters. Solid-State Electronics 2001; 45: 293–296.
• Chegaar M, Azzouzi G, Mialhe, P. Simple Parameter extraction method for illuminated solar cells. Solid-State Electronics 2006; 50: 1234–1237.
• Adawi MK, Nuaim IA. A method to determine the solar cell series resistance from a single 𝐼−𝑉 characteristic curve considering its shunt resistance. Vacuum 2002; 64: 33–36.
• Radziemska E, Klugmann E. Thermally affected parameters of the current-voltage characteristics of silicon photocell. Energy Conversion and Management 2002; 43: 1889–2000.
• Jordehi AR. Enhanced leader particle swarm optimisation (ELPSO): An efficient algorithm for parameter estimation of photovoltaic (PV) cells and modules. Solar Energy 2018; 159:78–87.
• Bastidas-Rodriguez JD, Petrone G, Ramos-Paja CA, Spagnuolo G. A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel. Mathematics and Computers in Simulation 2017; 131:38–54.
• Oliva D, El Aziz MA, Hassanien AE. Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm. Applied Energy 2017; 200:141–154.
• Chen X, Xu B, Mei C, Ding Y, Li K. Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation. Applied Energy 2018; 212:1578–1588.
• Mekhilef S, Saidur R, Kamalisarvestani M. Effect of dust, humidity and air velocity on efficiency of photovoltaic cells. Renewable and Sustainable Energy Reviews 2012; 16(5):2920–2925.
• Cuce E. Toward thermal superinsulation technologies in buildings: Latest developments in glazing and building fabric. LAP Lambert Academic Publishing, Saarbrücken, Germany, 2015.
• Gwandu BA, Creasey DJ. Humidity: a factor in the appropriate positioning of a photovoltaic power station. Renewable Energy 1995; 6(3):313–316.
• Holman JP. Experimental Methods for Engineers, 7th edition, McGraw-Hill Higher Education, 2000.
• Rahman MM, Hasanuzzaman M, Rahim NA. Effects of various parameters on PV-module power and efficiency. Energy Conversion and Management 2015; 103: 348–358.