Research on optimum tilt angle of photovoltaic module based on regional clustering of influencing factors of power generation

2021 ◽  
Author(s):  
Weidong Liu ◽  
Jiakai Li ◽  
Shaoshuai Li ◽  
Ji Luo ◽  
Xiaohua Jiang
Keyword(s):  
Power Generation ◽  
Influencing Factors ◽  
Tilt Angle ◽  
Photovoltaic Module ◽  
Regional Clustering

scholarly journals Effect of Solar Tilt Angles on Photovoltaic Module Performance: A Behavioral Optimization Approach

2020 ◽  
pp. 90-102
Author(s):  
Trina Som ◽  
A. Sharma ◽  
D. Thakur
Keyword(s):  
Solar Energy ◽  
Tilt Angle ◽  
Photovoltaic Module ◽  
Optimization Approach ◽  
Solar Module ◽  
Monthly Average ◽  
Pv Module ◽  
Yearly Maximum ◽  
Module Performance ◽  
Better Than

In the present study, performance analyses of a solar module are made through the optimal variation of solar tilt angle, pertaining to the maximum generation of solar energy. The work has been carried out for a particular location at Tripura, in India, considering three different cases on an annual basis. An intelligent behavioural based algorithm, known as artificial bee algorithm (ABC), has been implemented for finding the optimal orientation of solar angle in analysing the performance. The result shows marginal differences are obtained in producing yearly maximum solar energy for different orientations of the PV module. It has been observed that the maximum average solar energy is obtained for the case where continuous adjustment is made by rotating the plane about the horizontal east-west axis within 20° to 30° tilt angle. The computed maximum and minimum of the monthly average efficiency is 10.9% and 8.7%, respectively. Further, a comparative study has been performed in generating average solar energy through optimal tilt angle by the implementation of Perturb & Observe method (P&O). The monthly average solar power computed by P&O method resulted better in a range of 2% to 15% in comparison to that obtained by ABC. While on the other hand, the efficiency computed by ABC algorithm was 15% to 19% better than that evaluated by P&O method for all the cases studied in the present work.

Solar Micro-Inverter

2020 ◽  
pp. 283-303
Author(s):  
Sivaraman P. ◽  
Sharmeela C.
Keyword(s):  
Power Generation ◽  
Tilt Angle ◽  
Solar Pv ◽  
Dc Voltage ◽  
Design Engineers ◽  
Design Flexibility ◽  
Pv Module ◽  
Pv Modules ◽  
Mppt Controller ◽  
Micro Inverter

A solar micro inverter is a small-size inverter designed for single solar PV module instead of group of solar PV modules. Each module is equipped with a micro inverter to convert the DC electricity into AC electricity and the micro inverter is placed/installed below the module. The advantages of micro inverters are: reduced effect of shading losses, module degradation and soiling losses, enabled module independence, different rating of micro inverter can be connected in parallel to achieve the desired capacity, additional modules can be included at time which allows the good scalability, string design and sizing are avoided, failure of any micro inverter does not affect the overall power generation, individual MPPT controller for each module increases the power generation, any orientation and tilt angle allows higher design flexibility, lower DC voltage increasing the safety, easy to design, handle and install, requires less maintenance, draws attention of design engineers, contractors, etc.

scholarly journals Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model

2019 ◽  
Vol 11 (6) ◽  
pp. 1754 ◽  
Author(s):  
Jun Dong ◽  
Dongran Liu ◽  
Dongxue Wang ◽  
Qi Zhang
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Sustainable Development ◽  
Influencing Factors ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Fuzzy Decision Making ◽  
Actual Problem ◽  
Five Dimensions ◽  
Fuzzy Delphi

With the deepening reform of the power market, the external environment of China’s power industry is going through a huge change. China’s traditional power generation groups (TPGGs), with assets all over the country, are, due to a lack of market awareness about energy policies, facing serious challenges in developing competitive advantages, improving power transaction modes, optimizing profit models, and even realizing basic corporate strategies. In this study, we focus on identifying the key factors influencing sustainable development in an unprecedented market environment for TPGGs, so as to achieve overall sustainable development for the whole power generation sector in China. A hybrid framework based on Multiple-Criteria Decision-Making (MCDM) was proposed to recognize the key influencing factors under vague rule conditions. We developed a novel method combining three different MCDM methods with triangular fuzzy numbers (TFNs), fuzzy Delphi, fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Analytic Network Process (ANP), to cover uncertainty and make the problem-solving approach closer to the actual problem. A series of analyses indicate that the final 14 factors covering the five dimensions are considered to be important factors in the sustainable development of TPGGs. Based on the results, it can be said that “Gross energy margin” and “Pricing bidding strategy” dominate the impacts of TPGG’s sustainable development. Finally, we give some advice relating to practical measures to help TPGGs achieve sustainable development in the market-oriented industry environment.

Analysis of China’s regional wind power generation efficiency and its influencing factors

2018 ◽  
Vol 30 (2) ◽  
pp. 254-271 ◽  
Author(s):  
Xiongfeng Pan ◽  
Jing Zhang ◽  
Changyu Li ◽  
Xianyou Pan ◽  
Jinbo Song
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Influencing Factors ◽  
Geographical Location ◽  
Wind Power Generation ◽  
Data Envelopment Analysis Model ◽  
Eastern Region ◽  
Analysis Model ◽  
Generation Efficiency ◽  
Technology Gap

Based on the data of 30 Chinese provinces from 2011 to 2014, we use a meta-frontier data envelopment analysis model and a symbolic regression method to study wind power generation efficiency and its influencing factors. From our analytical results, the main findings are as follows: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The technology gap ratio of eastern region is at a high level and is stable. In contrast, the technology gap ratios of the central and western regions are at a low level and have a larger fluctuation range. (3) The room for improving internal management is huge in the three regions of China mainland, but the advancement of technical level only in the Central and Western is significant. (4) Geographical location has the most impact on wind power generation efficiency, followed by technical progress and carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency.

scholarly journals M-Shape PV Arrangement for Improving Solar Power Generation Efficiency

2020 ◽  
Vol 10 (2) ◽  
pp. 537
Author(s):  
Yongyi Huang ◽  
Ryuto Shigenobu ◽  
Atsushi Yona ◽  
Paras Mandal ◽  
Zengfeng Yan ◽  
...  
Keyword(s):  
Power Generation ◽  
Tilt Angle ◽  
Geographical Location ◽  
Economic Benefits ◽  
Shape Design ◽  
Generation Efficiency ◽  
Optimal Angle ◽  
Sales Revenue ◽  
Economic Analyses ◽  
Novel Design

This paper presents a novel design scheme to reshape the solar panel configuration and hence improve power generation efficiency via changing the traditional PVpanel arrangement. Compared to the standard PV arrangement, which is the S-shape, the proposed M-shape PV arrangement shows better performance advantages. The sky isotropic model was used to calculate the annual solar radiation of each azimuth and tilt angle for the six regions which have different latitudes in Asia—Thailand (Bangkok), China (Hong Kong), Japan (Naha), Korea (Jeju), China (Shenyang), and Mongolia (Darkhan). The optimal angle of the two types of design was found. It emerged that the optimal tilt angle of the M-shape tends to 0. The two types of design efficiencies were compared using Naha’s geographical location and sunshine conditions. Through economic analyses, both the photovoltaic base cost and the electricity sales revenue were calculated, and the results showed that the M-shape has better economic benefits compared to the S-shape design. The proposed method can save resources and improve economic efficiency as well.

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