Impact of Uneven Shading by Neighboring Buildings and Clouds on the Conventional and Hybrid Configurations of Roof-Top PV Arrays

Satpathy, Priya Ranjan; Babu, Thanikanti Sudhakar; Shanmugam, Sathish Kumar; Popavath, Lakshman Naik; Alhelou, Hassan Haes

doi:10.1109/access.2021.3118357

Cited by 31 publications

(5 citation statements)

References 33 publications

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“…The output power generated at submodule level DPP(SMLDPP) is greater than the module level (MLDPP) for nonuniform partial shading conditions over module. For comparison the performance parameters of PV system such as mismatch loss (ML), conversion efficiency (ηc) and power improvement (∆Pi) under given partial shadings are calculated using following equations [24], [25]. Mismatch loss (ML) is the difference between the power generated at unshaded (𝑃 𝑢𝑠𝑑 ) and shaded (𝑃 𝑠𝑑 ) conditions for a given technique.…”

Section: Simulation Study and Performance Analysismentioning

confidence: 99%

Novel differential power processing technique for uneven partial shading mitigation in PV systems

Murkute,

Kulkarni (Deodhar)

2024

IJAPE

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Photovoltaic (PV) system output power greatly depends on environmental operating conditions. Partial shaded condition (PSC) operates PV string under mismatch. PV module mismatch has been one of the major causes for reduced amount of output power. Maximizing the amount of energy extraction from PV system under mismatch greatly influenced by conversion efficiency as well as the mismatch mitigation topology used. Differential power processing (DPP) is one of the advanced techniques to deal with mismatch conditions and enhance power output from a PV system. In this paper hybrid modular DPP topology is presented. The proposed technique mitigates the effect of mismatches at submodule and enhance power extraction from PV string. Since in majority shading on a PV module is nonuniform. The conversion efficiency of module level DPP shading mitigation techniques enhanced using submodule level DPP architecture. To demonstrate its applicability simulation study is carried out in MATLAB Simulink and results are compared with traditional bypass method and module level DPP. Simulation results showed the reduction in mismatch loss and improvement in efficiency and power output.

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Section: Simulation Study and Performance Analysismentioning

confidence: 99%

Novel differential power processing technique for uneven partial shading mitigation in PV systems

Murkute,

Kulkarni (Deodhar)

2024

IJAPE

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“…PV energy utilization in building environments is challenging from several perspectives because of the high density of various rooftop heights and reduced surface area for sunlight exposure on building rooftops [39]. Unexpected losses occur due to shadows of surrounding buildings and clouds [40]. In addition, there are various building facilities on the roof of the building that can cast shadows on solar panels, reducing power production [41].…”

Section: Simulation Of Pv Energy Generation In Buildingmentioning

confidence: 99%

Carbon-Neutral ESG Method Based on PV Energy Generation Prediction Model in Buildings for EV Charging Platform

Yoon,

Kim,

Shin

et al. 2023

Buildings

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Energy prediction models and platforms are being developed to achieve carbon-neutral ESG, transition buildings to renewable energy, and supply sustainable energy to EV charging infrastructure. Despite numerous studies on machine learning (ML)-based prediction models for photovoltaic (PV) energy, integrating models with carbon emission analysis and an electric vehicle (EV) charging platform remains challenging. To overcome this, we propose a building-specific long short-term memory (LSTM) prediction model for PV energy supply. This model simulates the integration of EV charging platforms and offer solutions for carbon reduction. Integrating a PV energy prediction model within buildings and EV charging platforms using ICT is crucial to achieve renewable energy transition and carbon neutrality. The ML model uses data from various perspectives to derive operational strategies for energy supply to the grid. Additionally, simulations explore the integration of PV-EV charging infrastructure, EV charging control based on energy, and mechanisms for sharing energy, promoting eco-friendly charging. By comparing carbon emissions from fossil-fuel-based sources with PV energy sources, we analyze the reduction in carbon emission effects, providing a comprehensive understanding of carbon reduction and energy transition through energy prediction. In the future, we aim to secure economic viability in the building energy infrastructure market and establish a carbon-neutral city by providing a stable energy supply to buildings and EV charging infrastructure. Through ongoing research on specialized models tailored to the unique characteristics of energy domains within buildings, we aim to contribute to the resolution of inter-regional energy supply challenges and the achievement of carbon reduction.

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“…Various simulations and experimental investigations on the power generation capability of these configurations have been carried out that revealed the excellent performance of TCT during partial shading [28]. However, numerous studies proved the inefficiency of these array configurations in reducing the power loss during partial shading which raised a serious question of reliability and effectiveness [29].…”

Section: Introductionmentioning

confidence: 99%

A zero switch and sensorless reconfiguration approach for sustainable operation of roof‐top photovoltaic system during partial shading

Aljafari

Satpathy

Babu

et al. 2023

IET Renewable Power Gen

Self Cite

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Photovoltaic (PV) roof‐top systems in real‐time environments are highly susceptible to the commonly occurring scenario of partial shading that occurs due to unavoidable conditions such as the shadow of buildings and trees. The occurrence of partial shading creates a serious mismatch among the modules of PV arrays that results in severe unexpected power losses in PV arrays. The conventional and hybrid configurations used for loss mitigation in PV arrays are sometimes unreliable and incapable of generating higher power during partial shading. Hence, this paper focuses on the development of a simple and effective technique for the reliable operation of PV arrays and loss reduction during the occurrence of partial shading. The technique is applicable to arbitrary array sizes having no dynamic parts and requires no switches and sensors for implementation to enhance the performance and operation of the system. The performance and reliability of the technique have been investigated under MATLAB simulation and real‐time scenarios by comparing it with various configurations under shading. The investigation reveals a higher power output by the proposed technique with an average conversion efficiency of higher than 90% and power enhancement of 19.07% than other configurations.

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Impact of Uneven Shading by Neighboring Buildings and Clouds on the Conventional and Hybrid Configurations of Roof-Top PV Arrays

Cited by 31 publications

References 33 publications

Novel differential power processing technique for uneven partial shading mitigation in PV systems

Novel differential power processing technique for uneven partial shading mitigation in PV systems

Carbon-Neutral ESG Method Based on PV Energy Generation Prediction Model in Buildings for EV Charging Platform

A zero switch and sensorless reconfiguration approach for sustainable operation of roof‐top photovoltaic system during partial shading

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