Performance modelling of photovoltaic modules under actual operating conditions considering loss mechanism and energy distribution

Ma, Tao; Guo, Zichang; Shen, Lu; Lü, Xing; Chen, Zhenwu; Zhou, Yong; Zhang, Xiaochun

doi:10.1016/j.apenergy.2021.117205

Cited by 23 publications

(13 citation statements)

References 62 publications

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“…In ref [47], a complete coupled model is developed which simulates the behaviour of PV modules on the basis of electro‐thermal performance under real operating conditions. The conversion mechanism is highly complex.…”

Section: Reliability Assessment Of Photovoltaic Systemmentioning

confidence: 99%

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

Singh

Saket

Khan

2023

IET Renewable Power Gen

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This paper provides a comprehensive review of the research work related to Reliability Assessment Methodologies for grid‐connected photovoltaic (PV) systems performed in recent literature. Solar power is emerging as the fast growing source of energy in the world as a result of rising environmental concerns regarding the hazards of climatic change linked with the production of electricity using fossil fuels. Although PV systems can support small businesses and households on their own, many people prefer a grid‐connected PV system (PVS) because of the net profit it provides. Grid‐integrated PV system, however, comes with many reliability issues. Evaluating the reliability of grid‐integrated photovoltaic system is thus an important area of research. The article presents a critical survey of the state‐of‐art technologies for assessing the reliability of a PV system. Issues related to the reliability of the grid‐integrated PVS are spotted along with the solution techniques. Reliability indices for analyzing the PVS performance are also discussed.

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Section: Reliability Assessment Of Photovoltaic Systemmentioning

confidence: 99%

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

Singh

Saket

Khan

2023

IET Renewable Power Gen

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“…The below bandgap losses are accounting for all photons that cannot be absorbed due to insufficient energy. [ 4 ] This loss can be calculated by integrating over all wavelengths larger than

λ_{normalg}

, which is written as

P_{below} = A_{mod} \cdot \int_{λ_{normalg}}^{\infty} I_{in} false(λ false) d λ

where

I_{in} false(λ false)

is the incoming irradiance for a given wavelength.…”

Section: Methodsmentioning

confidence: 99%

“…[23] IV curves of top and bottom cells are simulated for various operating conditions (i.e., different temperatures (À15-95 °C) and different irradiances (50-1500 W m À2 ) such that all real-world conditions are included by solving the Poisson equation and continuity equations in one dimension. To accelerate the computation, a one-diode equivalent circuit model [4,[24][25][26] of the solar cell is fitted to match all the IV curves accurately. [10] This provides a calibrated lumped-element model (CLEM) with temperature-and illumination-dependent parameters.…”

Section: The Electrical Lossesmentioning

confidence: 99%

“…The below bandgap losses are accounting for all photons that cannot be absorbed due to insufficient energy. [4] This loss can be calculated by integrating over all wavelengths larger than λ g , which is written as…”

Section: The Fundamental Lossesmentioning

confidence: 99%

“…Similar studies have already calculated the loss analysis for crystalline solar cells. [1,[3][4][5][6][7][8] However, no literature has been found on a complete energy loss analysis with a quantification of different loss mechanisms for a tandem cell. Also, the loss analysis is typically done at cell level, whereas our model includes losses at module and system level.…”

Section: Introductionmentioning

confidence: 99%

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Energy Loss Analysis of Two‐Terminal Tandem PV Systems under Realistic Operating Conditions—Revealing the Importance of Fill Factor Gains

et al. 2023

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The tandem PV technology can potentially increase the efficiency of PV modules over 30%. To design efficient modules, a quantification of the different losses is important. Herein, a model for quantifying the energy loss mechanisms in PV systems under real‐world operating conditions with a level of detail back to the components and their fundamental properties is presented. Totally, 17 losses are defined and divided into four categories (fundamental, optical, electrical, and system losses). As example, a system based on a > 29% two‐terminal perovskite/silicon tandem cell is considered. The loss distribution at standard test conditions is compared to four geographical locations. The results show that the thermalization, reflection, and inverter losses increase by 1.2%, 1.1%, and 1.4%, respectively, when operating outdoors. Additionally, it is quantified how fill factor gains partly compensate the current mismatch losses. For example, a mismatch of 7.0% in photocurrent leads to a power mismatch of 1.2%. Therefore, the power mismatch should be used as indicator for mismatch losses instead of a current mismatch. Finally, herein, it is shown that solar tracking increases not only the in‐plane irradiance but also the efficiency of the tandem module.

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Advances in Hierarchical Inorganic Nanostructures for Efficient Solar Energy Harvesting Systems

Manjunatha,

Rastogi,

Manmadha Rao

et al. 2024

ChemSusChem

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The urgent need to address the global energy and environmental crisis necessitates the development of efficient solar‐power harvesting systems. Among the promising candidates, hierarchical inorganic nanostructures stand out due to their exceptional attributes, including a high specific surface area, abundant active sites, and tunable optoelectronic properties. In this comprehensive review, we delve into the fundamental principles underlying various solar energy harvesting technologies, including dye‐sensitized solar cells (DSSCs), photocatalytic, photoelectrocatalytic (water splitting), and photothermal (water purification) systems, providing a foundational understanding of their operation. The review then shifts its focus to recent advancements in the synthesis, design, and development of hierarchical nanostructures composed of diverse inorganic material combinations, tailored for each of these solar energy harvesting systems. We meticulously elaborate on the distinct synthesis methods and conditions employed to fine‐tune the morphological features of these hierarchical nanostructures. Furthermore, this review offers profound insights into critical aspects such as electron transfer mechanisms, band gap engineering, the creation of hetero‐hybrid structures to optimize interface chemistry through diverse synthesis approaches, and precise adjustments of structural features. Beyond elucidating the scientific fundamentals, this review explores the large‐scale applications of the aforementioned solar harvesting systems.

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Performance modelling of photovoltaic modules under actual operating conditions considering loss mechanism and energy distribution

Cited by 23 publications

References 62 publications

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

Energy Loss Analysis of Two‐Terminal Tandem PV Systems under Realistic Operating Conditions—Revealing the Importance of Fill Factor Gains

Advances in Hierarchical Inorganic Nanostructures for Efficient Solar Energy Harvesting Systems

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