Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh

Shuvho, Md. Bengir Ahmed; Chowdhury, Mohammad Asaduzzaman; Ahmed, Shameem; Kashem, Mohammod Abul

doi:10.1016/j.egyr.2019.06.011

Cited by 59 publications

(23 citation statements)

References 36 publications

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“…It considers numbers between 0 and 1 as a partial truth that can calculate for both numeric and linguistic parameters. It improves known identity and converts into numeric and functional parameters in surface graphs [5,[11][12][13][14][15]. In this system, the relationship between input function (temperature, relative humidity [RH], and UV index [UVI]) and output function (number of infected people) constructs the rule to define the required expression.…”

Section: Fuzzy Logic Approachmentioning

confidence: 99%

Evaluation of the Effect of Environmental Parameters on the Spread of COVID-19: A Fuzzy Logic Approach

Chowdhury

Shah

Kashem

et al. 2020

Advances in Fuzzy Systems

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In recent months, the world has experienced the outbreak and spread of a new infectious disease, COVID-19. The spread of this disease has been so severe, and even many developed countries have struggled to manage this situation. However, some countries, such as China and Australia, have shown success in taking effective steps towards tackling the crisis. So far, some preventive measures to contain the spread of infection have emerged. Numerous studies have been undertaken worldwide in parallel in order to develop strategies to contain the virus, as well as to determine climatic or atmospheric conditions favoring COVID-19 spread. In this research, an artificial intelligence (AI) system has been adopted to assess the effective role of various environmental conditions in the spread of COVID-19. Temperature, relative humidity (RH), and UV index (UVI) of some affected countries were considered as input parameters while the total number of infected people is taken as the output variable. After plotting all available data as linguistic variables, a relationship is established between temperature, RH, UVI, and the number of infected people. From the surface graph, it can be stated that in addition to UVI, temperature and RH have a significant impact on the number of affected people. The maximum and minimum temperatures as well as other parameters are considered on the basis of mean values.

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Section: Fuzzy Logic Approachmentioning

confidence: 99%

Evaluation of the Effect of Environmental Parameters on the Spread of COVID-19: A Fuzzy Logic Approach

Chowdhury

Shah

Kashem

et al. 2020

Advances in Fuzzy Systems

Self Cite

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“…The proposed grid-integrated solar PV system by Arif et al [37] on the south-eastern part of Bangladesh indicated the economic and environmental suitability of the selected site. Shuvo et al [38] carried out a technical investigation on the prediction of solar energy and the performance of an 80 kWp grid-tied PV plant. They concluded that Artificial Neural Network (ANN) forecasts solar irradiation better than Fuzzy logic, which eventually assists in designing efficient solar PV projects.…”

Section: State-of-the-art Reviewmentioning

confidence: 99%

Techno-Economic-Environmental Impact of Derating Factors on the Optimally Tilted PV System

Masrur¹

2020

Preprint

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Solar-powered photovoltaic (PV) system encounters a signiﬁcant amount of losses due to different derating factors of PV modules throughout its lifespan. Thus, proper investigation is much needed to grasp the technical and economic impact of derating factors on the solar PV system, specially the one which is connected to the utility grid. This study performs a comprehensive discussion on various PV loss parameters followed by a techno-economic-environmental assessment of combined derating factor on an grid-connected and optimally tilted PV system located at Hatiya, Bangladesh using HOMER (Hybrid Optimization Model for Multiple Energy Resources) software. Some criteria linked with derating factor such as PV degradation and ambient temperature are further explored to analyze their impact on the aforementioned power system. Simulation results show that the system provides the best technical performance concerning annual PV production, power trade with grid, and renewable fraction with less emissions at a higher value of derating factor since it represents the lower impact of loss parameters. Similarly, ﬁnancial performance in terms of net present cost (NPC), levelized cost of energy (LCOE), and grid power exchange cost is found lower when derating factor value is higher.

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“…35 It is known that multivariate regression model is a method used by researchers for performance analysis of PV panels. [36][37][38][39][40][41] Bashir et al have been studied the relationship between predictors (inputs: Radiation, cell temperature, and wind speed) and response (power) using multivariate linear regression to estimate the generated power. They stated that the value of R 2 was 0.965.…”

Section: Introductionmentioning

confidence: 99%

“…Since outdoor conditions have a dominant effect on panel efficiency, site selection should be considered in PV instalation 35 . It is known that multivariate regression model is a method used by researchers for performance analysis of PV panels 36‐41 . Bashir et al have been studied the relationship between predictors (inputs: Radiation, cell temperature, and wind speed) and response (power) using multivariate linear regression to estimate the generated power.…”

Section: Introductionmentioning

confidence: 99%

Investigation effects of environmental and operating factors on PV panel efficiency using by multivariate linear regression

2020

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The aim of this study is to show the investigation effects of environmental and operating factors on photovoltaic (PV) panel efficiency using by multivariate linear regression. Also in this study, the relationship between PV panel efficiency and some environmental and operating factors (solar radiation, opencircuit voltage, short circuit current (I sc), power, fill factor, outside temperature, humidity, wind speed, and voltage) were investigated using multivariate linear regression. The effect of binary parameter interactions on panel performance was investigated using the backward elimination (or deletion) method. The data used in the analysis were obtained from monocrystal and polycrystal panels in December in the winter season. In all analyzes, the regression values are close to 1, which indicates that the compatibility between binary parameters and performance characteristics is perfect. In addition, the three most effective parameters on panel efficiency were found to be solar radiation, maximum power (P max), and I sc , respectively.

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Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh

Cited by 59 publications

References 36 publications

Evaluation of the Effect of Environmental Parameters on the Spread of COVID-19: A Fuzzy Logic Approach

Evaluation of the Effect of Environmental Parameters on the Spread of COVID-19: A Fuzzy Logic Approach

Techno-Economic-Environmental Impact of Derating Factors on the Optimally Tilted PV System

Investigation effects of environmental and operating factors on PV panel efficiency using by multivariate linear regression

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