Temperature prediction-based realistic performance analysis of various electrical configurations of solar PV panels

Mallal, Youssef; Sharma, Dinesh Kumar; Bahir, L. El; Hassboun, Touria

doi:10.1016/j.solener.2021.09.084

Cited by 9 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mallal et al in [27], explore an approach based on a temperature forecast for the realistic analysis of the performance of a photovoltaic system. Unlike the general methods, the change in module temperature due to the change in solar radiation has been considered to obtain realistic and accurate performance evaluation results under mismatch conditions.…”

Section: Related Workmentioning

confidence: 99%

“…Additionally, research works dedicated to studying the effects of meteorological conditions on the internal components of photovoltaic modules were found, which can also affect the performance of forecast models of photovoltaic energy production ( [27][28][29][30][31]). In this same direction, other works point to physical aspects of the manufacture of batteries for photovoltaic energy storage, pointing out its importance to be considered in hybrid models and thus improving forecasting capabilities.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks

Castillo-Rojas

Bekios-Calfa

Hernández

2023

International Journal of Photoenergy

View full text Add to dashboard Cite

In recent years, photovoltaic energy has become one of the most implemented electricity generation options to help reduce environmental pollution suffered by the planet. Accuracy in this photovoltaic energy forecasting is essential to increase the amount of renewable energy that can be introduced to existing electrical grid systems. The objective of this work is based on developing various computational models capable of making short-term forecasting about the generation of photovoltaic energy that is generated in a solar plant. For the implementation of these models, a hybrid architecture based on recurrent neural networks (RNN) with long short-term memory (LSTM) or gated recurrent units (GRU) structure, combined with shallow artificial neural networks (ANN) with multilayer perceptron (MLP) structure, is established. RNN models have a particular configuration that makes them efficient for processing ordered data in time series. The results of this work have been obtained through controlled experiments with different configurations of its hyperparameters for hybrid RNN-ANN models. From these, the three models with the best performance are selected, and after a comparative analysis between them, the forecasting of photovoltaic energy production for the next few hours can be determined with a determination coefficient of 0.97 and root mean square error (RMSE) of 0.17. It is concluded that the proposed and implemented models are functional and capable of predicting with a high level of accuracy the photovoltaic energy production of the solar plant, based on historical data on photovoltaic energy production.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks

Castillo-Rojas

Bekios-Calfa

Hernández

2023

International Journal of Photoenergy

View full text Add to dashboard Cite

show abstract

“…A Bridge-Linked (BL) configuration connects PV panels to each other in a diamond formation, like a bridge rectifier, and a honeycomb is similar to BL, but they may contain more internal connections with each bridge. Mallal et al worked on temperature-based realistic performance analysis of various electrical configurations of solar PV modules, and they found that a Total-Cross-Tied (TCT) connection provided an effective performance under normal climate conditions [20]. Ramaprabha et al studied and reported a comprehensive review and analysis of PV array configurations under partial shaded conditions [21].…”

Section: Esfandyari Et Al's Work Describes How the Inclusion Of A Bat...mentioning

confidence: 99%

Design and Construction of a 50 kW PV- based EV Fast-Charging Station as a community engagement project

Pecen,

Yildiz,

Dakeev

2022 ASEE Annual Conference &Amp; Exposition Proceedings

View full text Add to dashboard Cite

According to the Energy Information Administration (EIA), the transportation sector is responsible for almost 23% of greenhouse gas emissions. Therefore, electric vehicles (EVs) may play a critical role in achieving the environmental objectives of the Paris agreement that strengthens the global response to the threat of climate change. National Renewable Energy Labs (NREL) and International Council on Clean Transportation (ICCT) predict that there will be more than 3 million EVs roaming the U.S. highways by 2025 [1][2].Design and construction of EV charging stations using zero-emission photovoltaic (PV) solar panels are expected to positively impact environmentally friendly efforts on reducing carbon footprints specifically in metropolitan areas. This applied research paper reports efforts of engineering technology faculty and students to design and build a sustainable charging station that is fully sponsored by an energy services company. Department of Engineering Technology's multidisciplinary faculty, technician, and students with the logistic support from Academic Community Engagement (ACE) staff at Sam Houston State University (SHSU) secured a grant from Entergy Energy Company's Environmental Initiative Funding (EIF) to design and build a 50 kW PV-based EV fast DC charging station in the City of Huntsville's welcome center with an opportunity to provide sustainability and engineering showcase with the community. A group of students from electrical, electronics, mechanical, engineering design, and construction engineering technology programs in the Department of Engineering Technology are working in the project as part of their senior design project assignment during 2021-2022 academic year. In addition to ABET defined course objectives, goals and outcomes, senior design projects in the engineering and technology curriculum also serve as unique bridges between the academia and the communities. This paper reports a multi-group senior design project progress to design and construct a 50 kW solar array power system during the semesters of spring and summer 2022. The project will provide one fast DC charging station. The proposed PV array includes 120 panels with a rated power of 420 W, that is manufactured in the U.S. The PV power system will be connected to the grid with a 50-kW grid-tied inverter to provide reliable and resilient electricity. Faculty and students working in the project are responsible to design and install overall system equipment including utility scale concrete-ballasted ground mounts for 120 PV panels, balance of system units, charge controllers, LED light fixtures for night vision, the protection and measurement components, related combiners, and junction boxes. The 50 kW array includes 12 parallelconnected PV strings, each string containing 12 PVs connected in series which will provide an expected total voltage of 480 V DC and a total current of 125A DC to be connected to a threephase grid-tied inverter. This paper reports a teamwork of multidisciplinary engineering technology students fo...

show abstract

AI-Based Forecasting of Hourly Air Temperature in Sub-Saharan Areas of Morocco

Khala,

El yanboiy,

Elabbassi

et al. 2024

Studies in Computational Intelligence

View full text Add to dashboard Cite

Temperature prediction-based realistic performance analysis of various electrical configurations of solar PV panels

Cited by 9 publications

References 35 publications

Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks

Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks

Design and Construction of a 50 kW PV- based EV Fast-Charging Station as a community engagement project

AI-Based Forecasting of Hourly Air Temperature in Sub-Saharan Areas of Morocco

Contact Info

Product

Resources

About