scholarly journals Solar Tilt Angle Optimization of PV Systems for Different Case Studies

2019 ◽  
Vol 6 (23) ◽  
pp. 157038
Author(s):  
Hasan Muslim
Keyword(s):  
Case Studies ◽  
Tilt Angle ◽  
Pv Systems

scholarly journals A Software Tool for Optimal Sizing of PV Systems in Malaysia

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Tamer Khatib ◽  
Azah Mohamed ◽  
K. Sopian
Keyword(s):  
Solar Energy ◽  
Tilt Angle ◽  
Software Tool ◽  
Diesel Generator ◽  
Pv System ◽  
Generator System ◽  
Optimal Sizing ◽  
Pv Systems ◽  
Artificial Neural Network Ann ◽  
User Friendly

This paper presents a MATLAB based user friendly software tool called as PV.MY for optimal sizing of photovoltaic (PV) systems. The software has the capabilities of predicting the metrological variables such as solar energy, ambient temperature and wind speed using artificial neural network (ANN), optimizes the PV module/ array tilt angle, optimizes the inverter size and calculate optimal capacities of PV array, battery, wind turbine and diesel generator in hybrid PV systems. The ANN based model for metrological prediction uses four meteorological variables, namely, sun shine ratio, day number and location coordinates. As for PV system sizing, iterative methods are used for determining the optimal sizing of three types of PV systems, which are standalone PV system, hybrid PV/wind system and hybrid PV/diesel generator system. The loss of load probability (LLP) technique is used for optimization in which the energy sources capacities are the variables to be optimized considering very low LLP. As for determining the optimal PV panels tilt angle and inverter size, the Liu and Jordan model for solar energy incident on a tilt surface is used in optimizing the monthly tilt angle, while a model for inverter efficiency curve is used in the optimization of inverter size.

Simulation About Suitable Direction of Photovoltaic Array for Residential Solar Power Generation System

Solar Energy ◽  
2003 ◽  
Author(s):  
Koji Sakai ◽  
Osamu Ishihara ◽  
Akio Tanaka ◽  
Hidetoshi Nakagami ◽  
Masaki Manabe
Keyword(s):  
Power Generation ◽  
Tilt Angle ◽  
Generation System ◽  
Pv Systems ◽  
Photovoltaic Array ◽  
Solar Power Generation ◽  
Installation Angle ◽  
Power Generation System ◽  
Pv Power Generation ◽  
Fixed System

In this paper, it is attempted in the present study to estimate the factors to reduce power generating efficiency using the results of measurements and to calculate the optimal tilt angle in Kyushu area. Also, the study was made as to how the annual power generation amount is influenced by the deviation of the optimal tilt angle from actual installation angle. We have obtained the results that modeling was performed on the factors to reduce the efficiency obtained from measurements, and PV power generation amount in Kyushu area was estimated. Also, from the results of calculation of the optimal installation angle of the fixed system at installation site, it was demonstrated that the installation of PV systems on roof surface as generally practiced at present did not lead to a greater loss.

scholarly journals Global Maximum Power Point Tracking of PV Systems under Partial Shading Condition: A Transfer Reinforcement Learning Approach

2019 ◽  
Vol 9 (13) ◽  
pp. 2769 ◽  
Author(s):  
Min Ding ◽  
Dong Lv ◽  
Chen Yang ◽  
Shi Li ◽  
Qi Fang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Case Studies ◽  
Maximum Power Point Tracking ◽  
Solar Irradiation ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper aims to introduce a novel maximum power point tracking (MPPT) strategy called transfer reinforcement learning (TRL), associated with space decomposition for Photovoltaic (PV) systems under partial shading conditions (PSC). The space decomposition is used for constructing a hierarchical searching space of the control variable, thus the ability of the global search of TRL can be effectively increased. In order to satisfy a real-time MPPT with an ultra-short control cycle, the knowledge transfer is introduced to dramatically accelerate the searching speed of TRL through transferring the optimal knowledge matrices of the previous optimization tasks to a new optimization task. Four case studies are conducted to investigate the advantages of TRL compared with those of traditional incremental conductance (INC) and five other conventional meta-heuristic algorithms. The case studies include a start-up test, step change in solar irradiation with constant temperature, stepwise change in both temperature and solar irradiation, and a daily site profile of temperature and solar irradiation in Hong Kong.

Case studies of large-scale PV systems distributed around desert area of the world

1997 ◽  
Vol 47 (1-4) ◽  
pp. 189-196 ◽  
Author(s):  
Kosuke Kurokawa ◽  
Takumi Takashima ◽  
Tatsuo Hirasawa ◽  
Tetsuo Kichimi ◽  
Teruo Imura ◽  
...  
Keyword(s):  
Case Studies ◽  
Large Scale ◽  
Desert Area ◽  
Pv Systems ◽  
The World

scholarly journals Performance and Design Optimization of Two-Mirror Composite Concentrating PV Systems

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2875
Author(s):  
Guihua Li ◽  
Yamei Yu ◽  
Runsheng Tang
Keyword(s):  
Tilt Angle ◽  
Three Dimensional ◽  
Acceptance Angle ◽  
Pv System ◽  
Pv Systems ◽  
Calculation Results ◽  
The One ◽  
A Site ◽  
Plate Absorber ◽  
East West

The reflectors of a linear solar concentrator investigated in this work consisted of two plane mirrors (2MCC), and they were designed in such a way that made all radiation within the acceptance angle (θa) arrive on flat-plate absorber, after less than two reflections. To investigate the performance of an east–west aligned 2MCC-based photovoltaic (PV) system (2MCPV), a mathematical procedure was suggested based on the three-dimensional radiation transfer and was validated by the ray-tracing analysis. Analysis indicated that the performance of 2MCPV was dependent on the geometry of 2MCC, the reflectivity of mirrors (ρ), and solar resources in a site, thus, given θa, an optimal geometry of 2MCC for maximizing the annual collectible radiation (ACR) and annual electricity generation (AEG) of 2MCPV in a site could be respectively found through iterative calculations. Calculation results showed that when the ρ was high, the optimal design of 2MCC for maximizing its geometric concentration (Cg) could be utilized for maximizing the ACR and AEG of 2MCPV. As compared to similar compound parabolic concentrator (CPC)-based PV systems, the 2MCPV with the tilt-angle of the aperture yearly fixed (1T-2MCPV), annually generated more electricity when the ρ was high; and the one with the tilt-angle adjusted yearly four times at three tilts (3T-2MCPV), performed better when θa < 25° and ρ > 0.7, even in sites with poor solar resources.

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