Novel approach to investigate the influence of optimum tilt angle on minimum cost of energy based maximum power generation and sizing of PV systems: A case study of diverse climatic zones in India

With the development of photovoltaic (PV) technologies, applications of photovoltaic have grown rapidly, indicating that the photovoltaic are attractive to produce environmentally benign electricity for diversified purposes. In order to maximize the use of solar energy, this thesis focuses on the PV power generation systems, which includes modeling of PV systems, maximum power point tracking (MPPT) methods for PV arrays. Maximum Power Point Tracking (MPPT) method is an important means to improve the system efficiency of PV power generation system. MPPT theory and various MPPT algorithms are introduced in the literature. Based on those researches, this thesis proposes a novel implementation of an adaptive duty cycle P&O algorithm that can reduce the main drawbacks commonly related to the traditional P&O method.

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Development of a MATLAB/LabVIEW Model for Optimal Tilt Angle and Maximum Power Generation of a PV Module

2015 International Conference on Computational Intelligence and Communication Networks (CICN) ◽

10.1109/cicn.2015.336 ◽

2015 ◽

Author(s):

Siva Ramakrishna Madeti ◽

Zameer Ahmad

Keyword(s):

Power Generation ◽

Tilt Angle ◽

Maximum Power ◽

Pv Module

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

Solar Energy ◽

10.1115/isec2003-44227 ◽

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.

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A Novel Approach to Capture the Maximum Power Generation from Wind Turbines Using Hybrid MLP Neural Network and Bees Algorithm (HNNBA)

IETE Journal of Research ◽

10.1080/03772063.2015.1083899 ◽

2015 ◽

Vol 62 (3) ◽

pp. 368-378 ◽

Cited By ~ 3

Author(s):

Ehsanolah Assareh ◽

Mojtaba Biglari

Keyword(s):

Neural Network ◽

Power Generation ◽

Wind Turbines ◽

Maximum Power ◽

Bees Algorithm ◽

Mlp Neural Network ◽

Novel Approach

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Performance Analysis of Renewable Energy Resources in Rural Areas: A Case Study of Solar Energy

Tanzania Journal of Engineering and Technology ◽

10.52339/tjet.v39i1.514 ◽

2020 ◽

Vol 39 (1) ◽

pp. 1-12

Author(s):

Jackson J. Justo ◽

Aviti T. Mushi

Keyword(s):

Power Generation ◽

Rural Areas ◽

Solar Power ◽

Coastal Region ◽

Solar Pv ◽

Renewable Energy Resources ◽

Solar Module ◽

Storage Mechanism ◽

Pv Systems

his paper presents an overview of the recent development trends of solar photovoltaic (PV) systems and the performance in the Tanzanian context. The two types of solar power generation that are considered in this paper are: i) solar PV systems and ii) concentrated solar power (CSP). The two are compared in terms of cost of energy and energy storage mechanism. Moreover, the effect of ambient temperature on the solar PV module is analyzed. In addition, a detailed analysis on using solar axis tracking to increase the power generation is also presented. The extent to which the cell surface temperature and orientation of the solar module which determine the power generation is modeled. Since Tanzania has the possibility to utilize the solar irradiance in the Coastal region to generate solar power, and therefore it is selected as the case study in this paper.

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