Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh
Md. Bengir Ahmed Shuvho, Mohammad Asaduzzaman Chowdhury, Shameem Ahmed, Mohammod Abul Kashem
Energy security is the triggering factor for a developing country. Thus, for ensuring energy security renewable energy such as PV plant could be a best alternative. This study deals with the performance analysis of 80 KWp grid-connected solar power plant in Dhaka. This study presents a solar irradiation predict model based on fuzzy logic and artificial neural networks which aims to achieve a good accuracy at different weather conditions. The accuracy of predicted solar irradiation will affect the power output forecast of grid-connected photovoltaic systems which is important for power system operation and planning. Used data are taken from NASA. The performance of ANN is better than fuzzy logic model by comparing RMSE, R and percentage of accuracy. These fuzzy logic and ANN models can be used to forecast solar irradiation of Dhaka city in different environment condition and to provide enough information about the feasibility of solar power projects.
Year of publication: |
2019
|
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Authors: | Shuvho, Md. Bengir Ahmed ; Chowdhury, Mohammad Asaduzzaman ; Ahmed, Shameem ; Kashem, Mohammod Abul |
Published in: |
Energy reports. - Amsterdam [u.a.] : Elsevier, ISSN 2352-4847, ZDB-ID 2814795-9. - Vol. 5.2019, p. 714-722
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Subject: | Photovoltaic | Fuzzy logic | ANN | Performance ratio | Sun simulator test | Bangladesch | Bangladesh | Sonnenenergie | Solar energy | Photovoltaik | Photovoltaics | Fuzzy-Set-Theorie | Fuzzy sets | Performance-Messung | Performance measurement | Prognoseverfahren | Forecasting model | Solartechnik | Solar technology | Simulation | Förderung erneuerbarer Energien | Renewable energy policy |
Saved in:
freely available
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1016/j.egyr.2019.06.011 [DOI] hdl:10419/243624 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012040264
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