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Journal ArticleDOI

Physical models for the design of photovoltaic/thermal collector systems

TLDR
Some of the main models for designing PV/T systems are developed and various configurations of equivalent-circuit models are presented to perform the electrical behavior of PV/t systems.
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This article is published in Solar Energy.The article was published on 2021-09-15. It has received 10 citations till now. The article focuses on the topics: Photovoltaic system.

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Citations
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Journal ArticleDOI

Performance analysis of a concentrated system with series photovoltaic/thermal module and solar thermal collector integrated with PCM and TEG

Xin Wen, +3 more
- 01 Mar 2022 - 
TL;DR: In this paper , a photovoltaic/thermal (PV/T) module with phase change material (PCM) and a solar thermal (ST) collector with thermoelectric generators (TEG) connected in series is presented.
Journal ArticleDOI

Combined Prediction of Photovoltaic Power Based on Sparrow Search Algorithm Optimized Convolution Long and Short-Term Memory Hybrid Neural Network

TL;DR: The accuracy of the prediction results, based on the improved SSA to optimize the parameters of the CLSTM hybrid neural network for predicting PV output, was significantly better than that of the BP, CNN, LSTM single neural network predictions results, and of the predictions accuracy ofthe unoptimizedCLSTM Hybrid neural network.
Journal ArticleDOI

Multi-aspect approach of electrical and thermal performance evaluation for hybrid photovoltaic/thermal solar collector using trnsys tool

TL;DR: In this article , the integration of photovoltaic module and thermal solar collector shows a strong potential for incorporation into hybrid solar-thermal (PV/T) system, mainly due to space constraints and benefits of electrical and thermal concurrent power generation.
Journal ArticleDOI

Coupled electrical-thermal performance estimation of photovoltaic devices: A transient multiphysics framework with robust parameter extraction and 3-D thermal analysis

Fuxiang Li, +1 more
- 01 Aug 2022 - 
TL;DR: In this paper , a multiphysics framework consisting of an electrical sub-model with improved parameter extraction and a thermal submodel with 3-D thermal analysis is proposed and validated to achieve reliable, fast, and all-sided performance estimations of PV.
Journal ArticleDOI

Improved TCT topology for shaded photovoltaic arrays

TL;DR: In this paper , the inner parts of the photovoltaic panel are involved in attached connections with the array subparts through a total-cross topology, and the suggested reconfiguration validity is demonstrated using P-V curve analysis and performance indicators such as mismatch power loss, fill factor and global maximum power point.
References
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Book

Numerical heat transfer and fluid flow

TL;DR: In this article, the authors focus on heat and mass transfer, fluid flow, chemical reaction, and other related processes that occur in engineering equipment, the natural environment, and living organisms.
Journal ArticleDOI

Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays

TL;DR: In this article, the authors proposed a method of modeling and simulation of photovoltaic arrays by adjusting the curve at three points: open circuit, maximum power, and short circuit.
Journal ArticleDOI

The theory of p-n junctions in semiconductors and p-n junction transistors

TL;DR: The theory of potential distribution and rectification for p-n junctions is developed with emphasis on germanium, resulting in an admittance for a simple case varying as (1 + iωτ p )1/2 where τ p is the lifetime of a hole in the n-region.
Journal ArticleDOI

Improvement and validation of a model for photovoltaic array performance

TL;DR: The five-parameter model is of interest because it requires only a small amount of input data available from the manufacturer and therefore it provides a valuable tool for energy prediction, and could be improved if manufacturer’s data included information at two radiation levels.
Journal ArticleDOI

Long‐wave radiation from clear skies

TL;DR: In this paper, a new series of measurements over wider ranges of temperature and humidity confirms this, with the same value for the correlation between R and σ T4, the regression equation being: R = −17·195 σT4 (milliwatt cm−, T °K).
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