Analysis on Large-Scale Solar PV Plant Energy Performance–Loss–Degradation in Coastal Climates of India

Navothna, Bhogula; Thotakura, Sandhya

doi:10.3389/fenrg.2022.857948

Cited by 25 publications

(8 citation statements)

References 38 publications

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“…The temperature losses are 6.2%, irradiance losses are 0.4%, mismatch losses are 4.0%, soiling losses are 2.0%, electrical wiring losses are 0.3%, reflection losses are 3.2%, clipping losses are 0.0%, shading losses are 0.4%, inverter losses are 3.0%, and AC system losses are 0.5%. The losses in this research are lower than losses in the research study (Navothna and Thotakura, 2022). The annual energy generation and performance ratio of the PV system decline as the percentage of soiling losses and temperature of the site increases.…”

Section: Discussionmentioning

confidence: 49%

“…The simulation model of the photovoltaic power generation is developed by taking different parameters under consideration. The simulation results of a designed photovoltaic system showed that the annual energy generation is 15.79 MWh and the performance ratio (PR) is 88.1%, the performance ratio in this research is high as compared to the research study (Navothna and Thotakura, 2022), and the power generation (kWh/kWp) is 1548.2. The maximum monthly energy production is 1,708.2 kWh, the maximum global horizontal irradiance (GHI) is 204.4 kWh/m 2 , and the maximum plane of array irradiance (POA) is 206.3 kWh/m 2 in May.…”

Section: Discussionmentioning

confidence: 55%

“…The HelioScope simulation model of the photovoltaic power generation is developed by taking different parameters under consideration like the architectural design of the building, photovoltaic power system specifications, and shading conditions. Simulation results show that the annual energy generation is 15.79 MWh and the performance ratio (PR) is 88.1%; the performance ratio in this research is high as compared to that of the research study (Navothna and Thotakura, 2022). The power generation (kWh/kWp) is 1548.2, the maximum produced power is 1,708.2 kWh in May, and the minimum produced power is 841.1 kWh in December.…”

Section: Discussionmentioning

confidence: 61%

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Investigation of dust pollutants and the impact of suspended particulate matter on the performance of photovoltaic systems

Tamoor

Hussain²,

Bhatti³

et al. 2022

Front. Energy Res.

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The purpose of this study is to investigate the potential of airborne particulate matter (PM10 and PM2.5) and its impact on the performance of the photovoltaic (PV) system installed in the Sargodha region, being affected by the crushing activities in the hills. More than 100 stone crushers are operating in this region. Four stations within this region are selected for taking samples during the summer and winter seasons. Glass–fiber papers are used as a collection medium for particulate matter (PM) in a high-volume sampler. The concentration of PM is found above the permissible limit at all selected sites. The chemical composition, concentration, and the formation of particulate matter (PM10 and PM2.5) layers on the surface of the photovoltaic module varies significantly depending on the site’s location and time. The accumulation of PM layers on the PV module surface is one of the operating environmental factors that cause significant reduction in PV system performance. Consequently, it leads to power loss, reduction of service life, and increase in module temperature. For the PV system’s performance analysis, two PV systems are installed at the site, having higher PM concentration. One system is cleaned regularly, while the other remains dusty. The data of both PV systems are measured and compared for 4 months (2 months for the summer season and 2 months for the winter season). It is found that when the level of suspended particulate matter (PM10 and PM2.5) increases, the energy generation of the dusty PV system (compared to the cleaned one) is reduced by 7.48% in May, 7.342% in June, 10.68% in December, and 8.03% in January. Based on the obtained results, it is recommended that the negative impact of PM on the performance of the PV system should be considered carefully during the decision-making process of setting solar energy generation targets in the regions with a high level of particulate matter.

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Section: Discussionmentioning

confidence: 49%

Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 61%

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Investigation of dust pollutants and the impact of suspended particulate matter on the performance of photovoltaic systems

Tamoor

Hussain²,

Bhatti³

et al. 2022

Front. Energy Res.

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“…This inspection is performed in accordance with the standard of IEC 61215-1. After visual inspection, an on-field test methodology based on Solar V-I curve tracer [12][13][14] was carried out for a short-term duration for formulation of a cost effective design tool for estimating performance loss rate or degradation rate. An on-field Solar IV curve tracer, PV 200 was employed for measurement.…”

Section: Solar V-i Curve Tracer Based On-field Experimentation For As...mentioning

confidence: 99%

An experimental cum computational economical approach for evaluation of performance loss rate or degradation rate for realistic roof-top PV plant in south India

Sundaram

Almas

2023

BIO Web Conf.

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Degradation rate in Solar photovoltaic systems is truly an important factor affecting economic feasibility. A linear drop in performance is typically assumed during the operational life-time of the PV system. However, the operational ground performance data reveal that the degradation rate for PVmodule based systems is often non-linear similar to the present investigation. This, if neglected, can cause financial uncertainty. So, this paper presents an experimental field estimation coupled with an analytical model-based approach for prediction of degradation of Solar PV systems. A section of 380 kWp PV system is considered for the present work. Furthermore, comparison of regressors encompassing non-linearities like random forest and decision tree-based are attempted for model formulation. The work is also supported with a comprehensive review on modelling approaches for assessment of degradation-based failure modes in Solar PV system. The experimental average value of degradation rate of the 380 kWp PV system is 7.78% or 0.0778. The reported analytical models possess a close match with the experimental results which are quantified by MPE whose value ranges from a minimum of 1.79% to a maximum of 10.4%. The annual performance ratio of the considered system for study is as less as 0.4 indicating and justifying the occurrence of failure effects in the system.

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“…The massive burning of mineral energy has caused global environmental pollution and ecological destruction, including the extreme overheating of the environment (Ma et al, 2021;Arsalan et al, 2022;Zakari et al, 2022). Solar energy is a free and environmentally friendly supply of power that has a negligible impact on the environment (Almutairi, et al, 2021) and has tremendous potential to replace fossil fuels with secure, clean, and sustainable energy (Trancik et al, 2015;Navothna and Thotakura, 2022). Many nations, such as the United States, Spain, Morocco, India, and China, have implemented solar energy systems in their electrical grids (Soomar, et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Radical innovation detection in the solar energy domain based on patent analysis

Feng

Fang

2023

Front. Energy Res.

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Introduction: Detecting radical innovations in the solar energy domain could offer innovation references and support the promotion of solar energy. However, relevant studies in the solar energy domain are lacking, and the related methods need to be improved.Methods: In this paper, a new framework to identify radical innovations in the solar energy domain is proposed by combining a technological convergence study and scientific relation analysis, and the link prediction method is utilized to detect potential radical innovations in this domain.Results: 1) The distributions of both the technological classes and scientific categories are uneven in the solar energy domain. The top 15 technological classes account for nearly 75.46% of all classifications. Fifteen scientific categories are cited by all the patents, and applied physics, multidisciplinary material science, energy and fuels play important roles in this domain. 2) The relationships among technological classes have evolved over time and have mainly focused on neighbouring disciplines. 3) A total of 130 patents containing new convergence relationships and/or closely related to science are identified as radical innovations. Radical innovative topics are related to the subdomains of solar photovoltaic (solar PV), heat storage, heat exchangers, and solar collectors. 4) Five potential radical innovative topics are identified. Automatic plants for producing electric energy, solar energy ecology houses, and so on are considered to have great potential in the future.Discussion: The results are consistent with the authoritative report and previous studies, which verify the viability of our methods. And the findings have important implications for scientists, policy-makers, and investors in this domain.

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Analysis on Large-Scale Solar PV Plant Energy Performance–Loss–Degradation in Coastal Climates of India

Cited by 25 publications

References 38 publications

Investigation of dust pollutants and the impact of suspended particulate matter on the performance of photovoltaic systems

Investigation of dust pollutants and the impact of suspended particulate matter on the performance of photovoltaic systems

An experimental cum computational economical approach for evaluation of performance loss rate or degradation rate for realistic roof-top PV plant in south India

Radical innovation detection in the solar energy domain based on patent analysis

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