Comparison of Predictive Models for Photovoltaic Module Performance under Tropical Climate

Simon, Koumi Ngoh; Njomo, Donatien; Inoussah, Moungnutou Mfetoum

doi:10.12928/telkomnika.v10i2.783

Cited by 6 publications

(3 citation statements)

References 16 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, despite the existence of numerous mathematical models and software applications for photovoltaics, sizing is only suitable for the non-tropical regions where they are built [13].…”

Section: State Of Artmentioning

confidence: 99%

“…Given the existence of several power models [13] [14] [15], and their varia-Journal of Power and Energy Engineering tions according to the meteorological conditions, this work after presented the acquisition station, underline in first, the main factors of power variation, then the estimate of this power through mathematical modeling combining various literature approaches for obtaining I-V and P-V characteristics and finally a comparison of power output models with ours and experimental data will be performed.…”

Section: State Of Artmentioning

confidence: 99%

See 1 more Smart Citation

A Simple Predictive Performance Model of Solar Cell under Very Hot and Humide Climate

Ketchanji¹,

Ndjakomo²,

Moukengue³

2019

JPEE

View full text Add to dashboard Cite

In the scope of solar energy-based electrical needs in rural tropical regions, the present article develops and confronts experimental power models from the using of manufacturer data and a new model made with the meteorological and electrical data acquired. These data are registered through an acquisition station around a monocrystalline photovoltaic panel, designed and realized in the scope of this work. After the acquisition of meteorological data, a choice of the most relevant meteorological variable as input vectors to express the output powers obtained was carried out. Around the Single-Diode model, seven models are performed with analytics equations, iterative methods and an optimization method with a multi-objective function to get internal parameters. The proposed experimental model is made by a combination of the solution got at STC of an iterative method, with the value of nameplate and the use of an open circuit voltage equation with experimental coefficient to predict power output in operating conditions, and it's demonstrated more efficient. The optimization of a multi-objective function using Nonlinear Squares (NLS) through the Leveng-Marqued method to solve the parameter estimation of a PV panel has been well done and the results are useful, like classic iterative method and less time-consuming.

show abstract

“…However, despite the existence of numerous mathematical models and software applications for photovoltaics, sizing is only suitable for the non-tropical regions where they are built [13].…”

Section: State Of Artmentioning

confidence: 99%

Section: State Of Artmentioning

confidence: 99%

A Simple Predictive Performance Model of Solar Cell under Very Hot and Humide Climate

Ketchanji¹,

Ndjakomo²,

Moukengue³

2019

JPEE

View full text Add to dashboard Cite

show abstract

“…The literature review presents some basic knowledge of PV module modeling [5]. In the work of Koumi et al [6], a review of four of the most commonly used models for estimating the performance of PV modules in a Sahelian Sudanese climate was conducted; it was found that the single diode model performed well. The connection of PV panel atelectrolyser has been studied in Tokyo, Japan, and a design method for a solar hydrogen energy system, providing the most cost-effective hydrogen production, has been developed [7].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Hydrogen Production in an Alkaline Electrolyser System Connected with a Solar Photovoltaic Panel or a Wind Turbine: Case Study; Douala-Cameroon

Nkanga¹,

Ndoh²,

Ntonda³

et al. 2021

JPEE

View full text Add to dashboard Cite

This article is in the field of research into the storage of renewable energy production. One of the main obstacles to the rapid development of renewable energies is the storage of the energy produced at low cost and with good efficiency. The production of hydrogen from renewable energies is a promising solution. The present work evaluates the potential of hydrogen production by electrolysis from solar photovoltaic and wind renewable energies in the city of Douala in Cameroon. The methodological approach used is based on the semi-empirical modelling approach of an alkaline electrolyser associated with the solar panel or the wind turbine. The simulation results obtained on the MATLAB/Simulink platform show that the average hydrogen production potential is estimated at 0.55 Nm 3 /h for a PV panel supply, which corresponds to average energy efficiency of 70%, and at 0.675 Nm 3 /h for a wind turbine supply, which corresponds to average energy efficiency of 84%. These results show the need to promote this technology, whose efficiency can be improved depending on the choice of site.

show abstract

Design and simulation of hybrid solar high-temperature hydrogen production system using both solar photovoltaic and thermal energy

Ngoh

Ohandja

Kémajou

et al. 2014

Sustainable Energy Technologies and Assessments

View full text Add to dashboard Cite

Comparison of Predictive Models for Photovoltaic Module Performance under Tropical Climate

Abstract: AbstrakMakalah ini membahas empat model yang digunakan untuk mengestimasi kinerja modul photovoltaic (PV)

Cited by 6 publications

References 16 publications

A Simple Predictive Performance Model of Solar Cell under Very Hot and Humide Climate

A Simple Predictive Performance Model of Solar Cell under Very Hot and Humide Climate

Modeling of Hydrogen Production in an Alkaline Electrolyser System Connected with a Solar Photovoltaic Panel or a Wind Turbine: Case Study; Douala-Cameroon

Design and simulation of hybrid solar high-temperature hydrogen production system using both solar photovoltaic and thermal energy

Contact Info

Product

Resources

About