Global sensitivity analysis of photovoltaic cell parameters based on credibility variance

Zhang, Feng; Cheng, Han; Wu, Mingying; Hou, Xinting; Wang, Xinhe; Li, Bingqiang

doi:10.1016/j.egyr.2022.05.280

Cited by 10 publications

(4 citation statements)

References 28 publications

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“…a. Modeling of the photovoltaic cell Typically, a photovoltaic cell [12] can be presented as shown in the Figure 3. This cell is composed of a current source, a diode and resistors.…”

Section: Modeling Of the Photovoltaic Assemblymentioning

confidence: 99%

Ecological impact due to the implementation of a modeled and optimized hybrid system

Echarradi

Benlafkih

Hadjoudja

et al. 2023

IJECE

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<span lang="EN-US">This paper presents a very alarming forecasts about our future and particularly for a medium and long-term future. That is to say, several actions are being carried out by different civil and state parties to deal with these very concrete threats. And it is within this framework that this paper fits, and its objective is to highlight the hybrid systems and more precisely the photovoltaic-wind hybrid systems coupled with storage batteries, as an efficient alternative to the classical means of electricity production. This work will adopt a method of obtaining results called performance evaluation, so this manuscript will present firstly the mathematical model of this hybrid system to best conceive what it is about, then as second part will determine the exact figures of the largest amount of carbon dioxide (CO<sub>2</sub>) that can be avoided using this technology and following a precise methodology, this can be applied to our situation, i.e., a simple house or to any other type of installation.</span>

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“…a. Modeling of the photovoltaic cell Typically, a photovoltaic cell [12] can be presented as shown in the Figure 3. This cell is composed of a current source, a diode and resistors.…”

Section: Modeling Of the Photovoltaic Assemblymentioning

confidence: 99%

Ecological impact due to the implementation of a modeled and optimized hybrid system

Echarradi

Benlafkih

Hadjoudja

et al. 2023

IJECE

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show abstract

“…Many scholars at home and abroad have also studied this issue. Zhang et al (2022) modeled the photovoltaic cell and selected five parameters: irradiation intensity, surface temperature of the photovoltaic cell, temperature coefficient, equivalent series resistance and equivalent parallel resistance. The effects of these parameters on the output power and conversion efficiency of the PV cell were investigated using a global sensitivity analysis method based on fuzzy theory (Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al (2022) modeled the photovoltaic cell and selected five parameters: irradiation intensity, surface temperature of the photovoltaic cell, temperature coefficient, equivalent series resistance and equivalent parallel resistance. The effects of these parameters on the output power and conversion efficiency of the PV cell were investigated using a global sensitivity analysis method based on fuzzy theory (Zhang et al, 2022). However, Yuan et al (2022) used dynamic time-bending algorithm to calculate that total irradiance and ambient temperature are more related than relative humidity, air pressure and component temperature.…”

Section: Introductionmentioning

confidence: 99%

Ultra-short-term PV power prediction based on Informer with multi-head probability sparse self-attentiveness mechanism

Jiang,

Fu,

Huang

et al. 2023

Front. Energy Res.

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As a clean energy source, solar power plays an important role in reducing the high carbon emissions of China’s electricity system. However, the intermittent nature of the system limits the effective use of photovoltaic power generation. This paper addresses the problem of low accuracy of ultra-short-term prediction of distributed PV power, compares various deep learning models, and innovatively selects the Informer model with multi-head probability sparse self-attention mechanism for prediction. The results show that the CEEMDAN-Informer model proposed in this paper has better prediction accuracy, and the error index is improved by 30.88% on average compared with the single Informer model; the Informer model is superior to other deep learning models LSTM and RNN models in medium series prediction, and its prediction accuracy is significantly better than the two. The power prediction model proposed in this study improves the accuracy of PV ultra-short-term power prediction and proves the feasibility and superiority of the deep learning model in PV power prediction. Meanwhile, the results of this study can provide some reference for the power prediction of other renewable energy sources, such as wind power.

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“…On the other hand, different measures to solve these problems are applied in the case of newly designed buildings, including continuous improvement of requirements in the field of thermal insulation of building partitions and energy efficiency of the applied technical systems and devices, as well as the implementation of the modern technologies. Moreover, in the present geopolitical situation, when fossil fuels are becoming increasingly expensive and their combustion is not environmentally friendly, there is a growing interest in the use of renewable energy sources for heat production, while obtaining electricity, e.g., from photovoltaic cells or wind farms [13][14][15][16]. It should be emphasized here that in Poland, nearly all buildings are equipped with heat meters.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of the Variability of Energy Efficiency Indicators for a Multi-Family Residential Building

et al. 2022

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During the building design phase, a lot of attention is paid to the thermal properties of the external envelopes. New regulations are introduced to improve energy efficiency of a building and impose a reduction of the overall heat transfer coefficient; meanwhile, this efficiency is more influenced by the efficiency of the heating system and the type of fuels used. This article presents a complex analysis including the impact of: heat transfer coefficient of the envelope, efficiency of building service systems, the type of energy source, and the fuel. The analysis was based on the results of simulation tests obtained for an exemplary multi-family residential building located in Poland that is not equipped with a cooling system. The conducted calculations gave quantitative evaluation of the influence of particular parameters on building energy performance and showed that the decrease of heat transfer coefficient of building boundaries, in accordance to the Polish regulation for 2017 and 2021, gave only 11% of reduction on usable energy demand index. On the other hand, it was found that modification of the heating system and heat source can significantly influence the values of the final and primary energy consumption at the level of 70%. The application of heat pumps has a greater influence on the final and primary energy consumption for heating indices than other parameters, such as the building’s envelopes.

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Global sensitivity analysis of photovoltaic cell parameters based on credibility variance

Cited by 10 publications

References 28 publications

Ecological impact due to the implementation of a modeled and optimized hybrid system

Ecological impact due to the implementation of a modeled and optimized hybrid system

Ultra-short-term PV power prediction based on Informer with multi-head probability sparse self-attentiveness mechanism

Statistical Analysis of the Variability of Energy Efficiency Indicators for a Multi-Family Residential Building

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