Optimisation of tilted angles of a photovoltaic cell to determine the maximum generated electric power: A case study of some Iraqi cities

Morad, Akeel M. Ali; Al-Sayyab, Ali Khalid Shaker; Abdulwahid, Mohammed A.

doi:10.1016/j.csite.2018.07.001

Cited by 27 publications

(13 citation statements)

References 7 publications

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“…The result is 4.14ᵒ, which is comparable to Yakup and Malik's value of 3.39°. This agrees with findings made by numerous authors [6], [14]- [16], [19]- [21] that the annual β opt is similar to the latitude (ϕ = 4.97° in Brunei Darussalam).…”

Section: Obtaining Optimum Tilt Angles From the Pso Algorithmsupporting

confidence: 93%

“…annual optimum tilt angles compared to monthly optimum tilt angles. Yakup and Malik [13], Morad [6], Herrera-Romero et al [15], and Ullah [16] also reported annual optimum tilt angles which are similar to the latitudes of their respective locations. Nevertheless, the method of setting the tilt angle equal to the latitude is not suitable for all locations, as some experience weather that is cloudier in winter than in summer, or the Sun's position in the sky throughout the year spans a wider path than other locations.…”

mentioning

confidence: 77%

“…Yang and Lu [4] considered hourly solar radiation, solved using Orgill and Hollands hourly diffuse ratio [5], to arrive at an annual optimum tilt angle in Hong Kong of 20ᵒ. Morad et al [6] used an equation solver programme to find monthly optimum tilt angles for PV modules in three cities across Iraq, which varied from 10° in June to 56° in January and December. The annual optimum tilt angle was 31° for all cities.…”

Section: Introductionmentioning

confidence: 99%

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Optimising monthly tilt angles of solar panels using particle swarm optimisation algorithm

Kanianthara

Ang²,

Sulayman³

et al. 2021

IJEECS

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This paper presents an intelligent computational method using the PSO (particle swarm optimisation) algorithm to determine the optimum tilt angle of solar panels in PV systems. The objective of the paper is to assess the performance of this method against conventional methods of determining the optimum tilt angle. The method presented here can be used to determine the optimum tilt angle at any location around the world. In this paper, it was applied to Brunei Darussalam, and succeeded in computing monthly optimum tilt angles, ranging from 34.7ᵒ in December to -26.7ᵒ in September. Results showed that changing the tilt angle every month, as determined by the PSO algorithm, increased annual yield by: (i) 5.94%, compared to keeping it fixed at 0ᵒ, (ii) 8.65%, compared to Lunde’s method and (iii) 17.31%, compared to Duffie and Beckman’s method. Benchmark test functions were used to compare and evaluate the performance of the PSO algorithm with the artificial bee colony (ABC) algorithm, another metaheuristic algorithm. The tests revealed that the PSO algorithm outperformed the ABC algorithm, exhibiting lower root mean square error and standard deviation, better convergence to the global minimum, more accurate location of the global minimum, and faster execution times.

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Section: Obtaining Optimum Tilt Angles From the Pso Algorithmsupporting

confidence: 93%

mentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimising monthly tilt angles of solar panels using particle swarm optimisation algorithm

Kanianthara

Ang²,

Sulayman³

et al. 2021

IJEECS

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“…Ref. [17] examined the optimum tilt angle of three Iraqi provinces which were Baghdad (latitude 33°20′), Tikrit (34°35′) and Diyala (33°14′), and the result showed that the mentioned locations had the same optimum tilt angle which was 31°. Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Tilt Angle of a PV System to Get Maximum Generated Power: a Case Study

Taha

Hameed

2020

KJAR

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The amount of solar irradiance falls onto photovoltaic (PV) panels depends highly on the tilt angle between the panels and the horizontal plane. Therefore, this angle must be chosen carefully so that the panels can absorb the largest possible amount of the solar beam. It is more convenient for the panels to be installed with the fixed tilt angle once a month or year as the cost and complexity of the solar tracking systems are high. This research determines monthly and yearly optimum tilt angles for 50 KWp solar system in Duhok city, Duhok Polytechnic University campus (Latitude/Longitude: 36.862, 42.980). Moreover, this work examines the performance of the system with different PV technologies which are Crystalline Silicon, Cadmium Telluride (CdTe), and Copper Indium Selenide (CIS) to determine which one is more convenient for Duhok weather. This work uses the PVGIS simulation tool, and the result shows that the 32.7 degree is the optimum tilt angle for fixed annually adjustment for the mentioned city. While the monthly optimum tilt angles were different for each month (the lowest tilt angle was 1.5˚ observed in June and the highest tilt angle was 63.9˚ recorded in December). Regarding PV technologies, the CdTe types generated more annual PV energy than other mentioned types, followed by CIS which produced more output PV energy than Crystalline Silicon.

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“…Engineering equation solver (EES) utilized for predicting the monthly and annually optimal angle of tilt for the photovoltaic cells situated in more than sites in Iraq are relying upon the ultimate intensity of the resulted solar power, the angle of tilt changed over a range (0° -90°). The outputs manifested that the optimal angle of tilt for the whole cities is similar for (31°), and the monthly angle of tilt was dissimilar from any month to other [11]. In China cites, researchers determined the optimum angle for PV panel by Harmony Search (HS) Meta Heuristic Algorithm and utilized the ergodic technique performed for obtaining the optimal angle of tilt as well as the optimal azimuth angle depending upon the Julian dating model.…”

Section: Introductionmentioning

confidence: 99%

Optimization of tilt angle and experimental study of standalone PV system for clean energy home supply in Baghdad

Ali¹,

Karamallah²,

Aljabair³

2021

FME Transactions

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The performance of the system of the solar radiation conversion is influenced via the angle of tilt with a horizontal plane; therefore, the photovoltaic array requires to be tilted at the right angle for maximizing the system conversion efficiency. The present paper has been carried out monthly at the optimum tilt angle numerically with an experimental system set up for home supply in Baghdad city (latitude 33°20'). Mathematical models were programmed by MATLAB to predict the solar energy incident on the surface all day of the year at angles from (0-90°). Experimental results manifested the performance of photovoltaic panel (PV) to provide a home with a light energy use in the shortcut electricity. The solar power system output is a function of the solar radiation. The high output of power was between (11.00 am) and (1.00 pm), which matches the high-power output time. The monthly optimum tilt angle can vary significantly during the year between 18° in summer to 65° in winter season.

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Optimisation of tilted angles of a photovoltaic cell to determine the maximum generated electric power: A case study of some Iraqi cities

Cited by 27 publications

References 7 publications

Optimising monthly tilt angles of solar panels using particle swarm optimisation algorithm

Optimising monthly tilt angles of solar panels using particle swarm optimisation algorithm

Optimization of Tilt Angle of a PV System to Get Maximum Generated Power: a Case Study

Optimization of tilt angle and experimental study of standalone PV system for clean energy home supply in Baghdad

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