Optimum tilt angle for photovoltaic system in desert environment

Abdeen, Eltaib; Orabi, Mohamed; Hasaneen, El-Sayed

doi:10.1016/j.solener.2017.06.031

Cited by 55 publications

(32 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is worth mentioning that modeling PV efficiency as a linear function of dust accumulation and ambient temperature is valid and supported by observation and experiments published by other researchers [42][43][44][45][46]. A brief review of the energy yield losses caused by dust deposition on PV systems is reported in [42].…”

Section: Introductionmentioning

confidence: 59%

“…Table 1. Comparison results of the proposed prediction models to those proposed and developed in [43]. MLR: multivariate linear regression model.…”

Section: Application Resultsmentioning

confidence: 99%

“…A number of experiments supporting the assumption of a linear approximation for efficiency reduction versus dust deposition is presented in this review. Another study focusing on the effect of tilt angle on soiled PV panels was conducted and proposed an empirical 2nd polynomial correlation of power reduction as a function of the number of unclean days and tilt angle [43]. The coefficients of linear terms are significantly larger than those of the quadratic terms.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

et al. 2019

View full text Add to dashboard Cite

This paper proposes computational models to investigate the effects of dust and ambient temperature on the performance of a photovoltaic system built at the Hashemite University, Jordan. The system is connected on-grid with an azimuth angle of 0° and a tilt angle of 26°. The models have been developed employing optimized architectures of artificial neural network (ANN) and extreme learning machine (ELM) models to estimate conversion efficiency based on experimental data. The methodology of building the models is demonstrated and validated for its accuracy using different metrics. The effect of each parameter was found to be in agreement with the well-known relationship between each parameter and the predicted efficiency. It is found that the optimized ELM model predicts conversion efficiency with the best accuracy, yielding an R2 of 91.4%. Moreover, a recommendation for cleaning frequency of every two weeks is proposed. Finally, different scenarios of electricity tariffs with their sensitivity analyses are illustrated.

show abstract

Section: Introductionmentioning

confidence: 59%

“…Table 1. Comparison results of the proposed prediction models to those proposed and developed in [43]. MLR: multivariate linear regression model.…”

Section: Application Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The first test was conducted throughout the hourly PV power curve obtained in real measurements under the same conditions of the following tests with a peak power of 175 W, as depicted in Figure 13. It was reported in [29] in the same location that the maximum power in summer was less than 180 W at the peak hours due to the high-temperature and low-radiation. Three PV panels were series-connected to each inverter leg.…”

Section: Resultsmentioning

confidence: 89%

Multi-Input Ćuk-Derived Buck-Boost Voltage Source Inverter for Photovoltaic Systems in Microgrid Applications

et al. 2019

Self Cite

View full text Add to dashboard Cite

This paper presents a multi-input Ćuk-derived Buck-Boost voltage source inverter (CBBVSI) for Photovoltaic (PV) systems. The proposed topology consists of a single-stage DC-AC inverter that combines both DC-DC and DC-AC stages. The DC-DC stage is used for stepping-up the voltage from the PV generator. Simultaneously, the DC-AC stage is used for interfacing the PV source with the AC grid. The topology allows three sources to utilize the antiparallel diodes for each inverter leg for transferring the energy. The proposed system exhibits several features such as a reduction of the number of components compared to typical two-stage structures, and Split-Source Inverter (SSI), and Z-Source Inverter (ZSI) topologies. Moreover, the power of each PV source can be harvested either simultaneously or separately since independent Maximum Power Point Tracking (MPPT) is performed. The system was simulated using MATLAB/SIMULINK software and a 1 kW laboratory prototype was implemented to verify the operation of the proposed CBBVSI. The numerical simulations are presented together with the experimental results, showing a good agreement.

show abstract

“…Elminir et al [29] conducted a seven months experiment in Cairo (Egypt) in order to examine the impact of PV modules tilt angle on the soiling density over their surfaces. In a study similar to the latter one, Abdeen et al [30] studied the impact of tilt angle on soiling in Aswan (Egypt), but in terms of comparing the electrical performance of the tested PV modules.…”

Section: Introductionmentioning

confidence: 99%

Soiling of Photovoltaic Modules: Comparing between Two Distinct Locations within the Framework of Developing the Photovoltaic Soiling Index (PVSI)

Alquthami

Menoufi

2019

Sustainability

View full text Add to dashboard Cite

This article evaluates the impact of dust accumulation on the performance of photovoltaic (PV) modules in two different locations inside Egypt, Cairo and Beni-Suef. Two identical PV modules were used for that purpose, where each module was exposed to the outdoor environment in order to collect dust naturally for a period of three weeks, each in its corresponding location. The approximate dust density on each of the two PV modules was estimated. Moreover, the electrical performance was evaluated and compared under the same indoor testing conditions. The results show a better electrical performance and less dust density for the PV module located in Cairo compared to that located in Beni-Suef. The results further provide an indication for the impact of soling in different locations within the same country through a clear and simple procedure. In addition, it paves the way for establishing a Photovoltaic Soiling Index (PVSI) in terms of a Photovoltaic Dust Coefficient, as well as a Photovoltaic Dust Interactive Map. The product of such concepts could be used by the Photovoltaic systems designers everywhere in order to estimate the impact of dust on the future performance of PV modules in small and large installations in different regions around the globe, and during different times of the year as well.

show abstract

Optimum tilt angle for photovoltaic system in desert environment

Cited by 55 publications

References 14 publications

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

Modeling and Analysis Framework for Investigating the Impact of Dust and Temperature on PV Systems’ Performance and Optimum Cleaning Frequency

Multi-Input Ćuk-Derived Buck-Boost Voltage Source Inverter for Photovoltaic Systems in Microgrid Applications

Soiling of Photovoltaic Modules: Comparing between Two Distinct Locations within the Framework of Developing the Photovoltaic Soiling Index (PVSI)

Contact Info

Product

Resources

About