A simple correlation for the operating temperature of photovoltaic modules of arbitrary mounting

Skoplaki, E.; Boudouvis, Andreas G.; Palyvos, J.A.

doi:10.1016/j.solmat.2008.05.016

Cited by 460 publications

(273 citation statements)

References 34 publications

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“…This material undergoes a reversible crystal-phase transition between tetragonal and cubic symmetry in the temperature range of 54 to 57 °C, [228,242] which is in the range of common solar cell operating temperatures during summer. [243] Changes to the electronic band structure can potentially reduce the photovoltaic performance to a large extent, as high-efficiency solar cells employ fine-tuned chargeextraction layers. Additionally, cycling between the two crystal phases during the day and night cycles is likely to lead to material fatigue and shorter device lifetimes.…”

Section: Heatmentioning

confidence: 99%

Capturing the Sun: A Review of the Challenges and Perspectives of Perovskite Solar Cells

Petrus

Schlipf

Cheng

et al. 2017

Advanced Energy Materials

318

201

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following statement: These materials can be processed from solution and yet exhibit optoelectronic materials properties described in classic solid-state physics textbooks. This unprecedented combination has led to photovoltaic devices that can be processed at room temperature and achieve performance levels similar to industry giant polycrystalline silicon, from a starting point of 3.8% in 2009. [1][2][3][4] The first light-emitting electrochemical cells [5] and diodes [6][7][8] have also been introduced recently, leading to tunable light emission spectra and internal quantum efficiencies exceeding 15%.The road towards these achievements has been marked by a constant improvement of perovskite deposition techniques fueled by our increasing understanding of the crystallization processes. The choice of deposition technique, either from solution or vapor, and the composition and order in which precursor species are applied has a great influence on the crystallization kinetics. Here, one can distinguish one-step methods where the perovskite is formed from a precursor mixture dissolved in a common solution, and two-step methods where the inorganic compound is deposited first and transformed to the perovskite phase later by addition of the organic constituents. [9][10][11] Furthermore, many parameters during processing can have an effect on the crystallization mechanism and consequently on film morphology, such as the choice of solvents, concentrations and processing additives that are often not incorporated into the final product. [11][12][13] We discuss this aspect in Section 2, where we focus our attention on the most commonly employed solution-based techniques. Additionally, as for any new technology trying to displace an incumbent technology, higher efficiencies, lower costs, reproducibility, stability, and sustainability are paramount. In particular, reproducibility has been a major challenge in perovskite solar cells from the beginning: small variations in morphology, like crystal size, film roughness, and pinholes can have detrimental effects on photovoltaic performance. [14] On the other hand, current-voltage measurements often showed a hysteresis that is rarely seen in other photovoltaic technologies. [15] These topics are highlighted in Sections 3 and 4. Finally, in Section 5 we discuss the framework for market introduction, such as cost reduction by choosing low-cost charge transport layers, or how the lifetime of perovskite absorbers can be extended by the choice of materials composition.Hybrid metal halide perovskites have become one of the hottest topics in optoelectronic materials research in recent years. Not only have they surpassed everyone's expectations and achieved similar performance as tried and true polycrystalline silicon photovoltaic devices, but they are also finding applications in a variety of different fields, including lighting. The main advantages of hybrid metal halide perovskites are simple processability, compatible with large-scale solution processing such as roll-to-roll printing, a...

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Section: Heatmentioning

confidence: 99%

Capturing the Sun: A Review of the Challenges and Perspectives of Perovskite Solar Cells

Petrus

Schlipf

Cheng

et al. 2017

Advanced Energy Materials

318

201

View full text Add to dashboard Cite

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“…3, in which the equations for the description of the movement of the sun and the energy conversion chain are implemented. The latter takes in account the conversion process used to evaluate the AC power injected in the grid starting from the DC power produced by the PV modules [19], [20].…”

Section: B Photovoltaic Modelmentioning

confidence: 99%

Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation

Marinelli

Maule

Hahmann

et al. 2015

IEEE Trans. Sustain. Energy

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Abstract-This work presents two large-scale regional models used for the evaluation of normalized power output from wind turbines and photovoltaic power plants on a European regional scale. The models give an estimate of renewable production on a regional scale with 1 h resolution, starting from a mesoscale meteorological data input and taking in account the characteristics of different plants technologies and spatial distribution. An evaluation of the hourly forecasted energy production on a regional scale would be very valuable for the transmission system operators when making the long-term planning of the transmission system, especially regarding the cross-border power flows. The tuning of these regional models is done using historical meteorological data acquired on a per-country basis and using publicly available data of installed capacity.Index Terms-Large-scale integration, modeling, photovoltaic (PV) power systems, renewable energy sources, wind energy.

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“…In the literature, the modeling of PV cell temperature is obtained by several correlations mathematic models as a function of solar irradiance, ambient temperature and wind speed, etc., [28] [29]. Equation (22) is used to calculate the PV-cell temperature [30].…”

Section: The Cell Temperaturementioning

confidence: 99%

Evaluation and Validation of Equivalent Five-Parameter Model Performance for Photovoltaic Panels Using Only Reference Data

Aoun¹,

Chenni²,

Boukheit³

et al. 2014

EPE

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This paper presents the modeling of electrical I-V verification of photovoltaic modules using fiveparameter models based on the minimum usage of input data, which are usually provided by manufacturer's datasheet. However, we vary them with a step of 10 −4 , the ideality factor γ between 0.0 and 4 for each iteration in order to choose the γ value, which gives a minimal relative error of the maximum power point. Moreover, when γ is known, the other four parameters (i.e., R s , I 0 , I ph and R sh ) are known. Finally, the effectiveness of this approach is then validated through comparison of the experimental results data under outdoor weather conditions.

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A simple correlation for the operating temperature of photovoltaic modules of arbitrary mounting

Cited by 460 publications

References 34 publications

Capturing the Sun: A Review of the Challenges and Perspectives of Perovskite Solar Cells

Capturing the Sun: A Review of the Challenges and Perspectives of Perovskite Solar Cells

Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation

Evaluation and Validation of Equivalent Five-Parameter Model Performance for Photovoltaic Panels Using Only Reference Data

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