Advancing simulation tools specific to floating solar photovoltaic systems – Comparative analysis of field-measured and simulated energy performance

Kumar, Nallapaneni Manoj; Chakraborty, Suprava; Yadav, Satish Kumar; Singh, Jyotsna; Chopra, Shauhrat S.

doi:10.1016/j.seta.2022.102168

Cited by 23 publications

(13 citation statements)

References 43 publications

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“…Manoj et al. use three different simulation tools to calculate the daily energy outputs, specific energy outputs, capacity utilization factor, and performance ratio (

PR

) of the floating PV power station and use error measurement to verify the applicability of the simulation tools to the feasibility of the floating PV power station [4].

PR

can reflect the comprehensive operation status of the power station, so many studies have applied

PR

in the aspects of fault detection and performance evaluation of PV power stations.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation and state recognition method based on non‐parametric estimation algorithm for photovoltaic arrays

Sun

et al. 2023

IET Renewable Power Gen

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With the rapid development of photovoltaic (PV) power generation, state recognition of PV arrays is of great significance to its intelligent operation and maintenance. But the random fluctuation of PV power output leads to the obvious uncertainty for performance calculation of PV arrays; this paper proposes an evaluation method of PV arrays. Firstly, the performance calculation method and its distribution model were proposed by the kernel density estimation (KDE) method. Secondly, the probability density distribution (PDD) of different indicators was analyzed to determine the suitable observation indicator so as to introduce the stability indicator, from which the benchmark array was selected. Finally, the state recognition of PV arrays was achieved. The main conclusions and innovations of this paper are the stability evaluation method of PV arrays based on the non‐parameter estimation method and the effective operating state recognition method for PV arrays. The proposed method was proven to be more reliable by comparing it to the power generation ranking method (PGRM). The effectiveness was verified by comparing the statistical and real‐time distribution of the performance ratio, and the excess rate of different confidence levels and Euclidean distance were introduced to demonstrate the accuracy of the proposed state recognition method.

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“…Manoj et al. use three different simulation tools to calculate the daily energy outputs, specific energy outputs, capacity utilization factor, and performance ratio (

PR

) of the floating PV power station and use error measurement to verify the applicability of the simulation tools to the feasibility of the floating PV power station [4].

PR

can reflect the comprehensive operation status of the power station, so many studies have applied

PR

in the aspects of fault detection and performance evaluation of PV power stations.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation and state recognition method based on non‐parametric estimation algorithm for photovoltaic arrays

Sun

et al. 2023

IET Renewable Power Gen

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“…In practice, most installers and researchers continue to utilize simulation tools designed for traditional PV installations, which ignore the various degradation modes accelerated by elevated temperature and humidity. The performance feasibility examination in PVsyst, SAM, Helioscope, PVsol, PV Watts calculator and Matlab Simulink as well as the verification investigation with measured data, revealed that these simulation tools might not be appropriate for WSPV simulation [11]. As this energy generation technique is still in its infancy, it requires detailed research and development in the future.…”

Section: Introductionmentioning

confidence: 99%

Performance and degradation analysis for different solar photovoltaic technologies under hot and humid environment: a review

Makhija,

Bohra

2023

Prog. Energy

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Solar photovoltaic (SPV) systems installed on water bodies, i.e., floating solar PV (FSPV) and canal top solar PV (CTSPV), have gained significant propulsion in recent years, not only because of their enormous potential but also because of other additional co-benefits. This review article discusses the scope and potential of FSPV and CTSPV, an ambitious plan, and various upcoming FSPV projects in India. The review focuses on different degradation modes, failure mechanisms, characterization techniques and distinct factors influencing the degradation of SPVs operating in tropical climates. It was explored that potential induced degradation (PID) and materialistic degradation have a significant impact on the performance of SPV. The paper provides an overview of the test procedures outlined in IEC-61215 and IEC-62804 that pertain to SPV performance under hot and humid conditions. Additionally, it presents a comprehensive review of the various methodologies adopted for accelerated damp heat testing to predict the life of PV systems in such conditions, and their significant analytical and visual outcomes is elucidated. Also, till date, no simulation tool has been available to assess the long-term performance of SPV in a humid environment. As this energy generation technique is still in its infancy, this study will help many researchers and solar power developers recognize the impact of elevated and prolonged exposure to temperature and humidity on generation, degradation, and mode of failure for different SPV technologies.

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“…Finally, Manoj Kumar et al. compared simulation results from three software (PVSyst®, SAM and Helioscope) with real measured data of a 2 MW FPV plant and reported the electricity generation deviation ranging from 18.4 to 38.6% [ 24 ]. Overall, the available PV simulation tools are mainly conceived for conventional land-PV installation.…”

Section: Introductionmentioning

confidence: 99%

Floating photovoltaics performance simulation approach

Kichou

Σκάνδαλος

Wolf

2022

Heliyon

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Advancing simulation tools specific to floating solar photovoltaic systems – Comparative analysis of field-measured and simulated energy performance

Cited by 23 publications

References 43 publications

Performance evaluation and state recognition method based on non‐parametric estimation algorithm for photovoltaic arrays

Performance evaluation and state recognition method based on non‐parametric estimation algorithm for photovoltaic arrays

Performance and degradation analysis for different solar photovoltaic technologies under hot and humid environment: a review

Floating photovoltaics performance simulation approach

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