Seasonal variation of PV module performance in tropical regions

Ye, Jiaying; Reindl, Thomas; Luther, Joachim

doi:10.1109/pvsc.2012.6318082

Cited by 8 publications

(6 citation statements)

References 6 publications

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“…5 are peculiar for Lugano (46°N) and can be assumed to be similar in geographical locations with analogous weather patterns (temperate climates). As shown in Ye et al (2012) for Singapore, close to the tropics seasonal fluctuations nearly disappear for both c-Si and a-Si. For c-Si, due to the constant temperatures, temperature losses show fewer variations over the year.…”

Section: Measured Vs Simulated Pr Dmentioning

confidence: 68%

“…Further, the energy yield of photovoltaic devices in operation is well known to exhibit seasonal variations (Makrides et al, 2014;Nikolaeva-Dimitrova et al, 2010;Ye et al, 2012;Makrides et al, 2013;Marion et al, 2014) which mainly depend on the installation site (latitude, shadows), on the average meteorological conditions (temperature, insolation, etc. ), and on the type of installation (tilt, orientation, degree of ventilation of the modules).…”

Section: Introductionmentioning

confidence: 99%

“…And we use the same approach to model the daily performance ratio (PR d ) of single solar modules installed in a more common fashion (open-rack mounted and ventilated, south-facing, 45°tilt) and of PV technologies which are known to exhibit completely distinguished seasonal patterns (Hegedus, 2012;Makrides et al, 2014;NikolaevaDimitrova et al, 2010;Ye et al, 2012;Makrides et al, 2013;Minemoto et al, 2009): amorphous (a-Si) and crystalline silicon (c-Si). The modules are selected from our outdoor test stand (shown later in Fig.…”

Section: Introductionmentioning

confidence: 99%

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A simple approach to model the performance of photovoltaic solar modules in operation

2015

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Section: Measured Vs Simulated Pr Dmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A simple approach to model the performance of photovoltaic solar modules in operation

2015

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“…To enhance the reliability and durability of PV systems, PV manufacturers should conduct rigorous stress tests to assess their optimised performance. This is particularly crucial due to the impact of temperature-induced seasonal variations [27]. For instance, Jiaying et al [28] examined three different PV module technologies: monocrystalline silicon (m-Si), single junction amorphous silicon (a-Si), and micromorph silicon thin-film modules.…”

Section: Seasonal Variations In Pv Performancementioning

confidence: 99%

Disaggregating Longer-Term Trends from Seasonal Variations in Measured PV System Performance

Okorieimoh,

Norton,

Conlon

2024

Electricity

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Photovoltaic (PV) systems are widely adopted for renewable energy generation, but their performance is influenced by complex interactions between longer-term trends and seasonal variations. This study aims to remove these factors and provide valuable insights for optimising PV system operation. We employ comprehensive datasets of measured PV system performance over five years, focusing on identifying the distinct contributions of longer-term trends and seasonal effects. To achieve this, we develop a novel analytical framework that combines time series and statistical analytical techniques. By applying this framework to the extensive performance data, we successfully break down the overall PV system output into its constituent components, allowing us to find out the impact of the system degradation, maintenance, and weather variations from the inherent seasonal patterns. Our results reveal significant trends in PV system performance, indicating the need for proactive maintenance strategies to mitigate degradation effects. Moreover, we quantify the impact of changing weather patterns and provide recommendations for optimising the system’s efficiency based on seasonally varying conditions. Hence, this study not only advances our understanding of the intricate variations within PV system performance but also provides practical guidance for enhancing the sustainability and effectiveness of solar energy utilisation in both residential and commercial settings.

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“…(J. Ye et al, 2012) observed the seasonal efficiency for a-Si single-junction, Monocrystalline Silicon and Micromorph cells vary. Both modules attained their highest efficiencies during the Monsoon season when module temperatures attain their minimum values due to seasonal variations and heavy rainfall.…”

Section: Introductionmentioning

confidence: 96%

Assessment of photovoltaic module temperature estimation for four years with four different software

Tolgay

Yakut

Özden

et al. 2022

Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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The software used today, on the estimation of module temperature of photovoltaic systems, seem very important to be analyzed. These estimates are crucial in future techno-economic and environmentally friendly analyses of the systems to reach better achievements for future generations. This is very important to reach lifetime analyses of long-term feasibility to find out payback time and the levelized cost of energy. The present work is based on this issue, to test the module temperature estimation formulas used by four commonly used software models, and to determine the most suitable software for temperature analyses of five different photovoltaic modules in Middle Anatolia. Outdoor truthful long-term testing is the main realistic approach to reach fundamental contemplations. After an introductory basic knowledge, the main materials and methods are discussed to enlighten the analysis. The main methodology is given and further prospects are enlightened. Four well-known software are analyzed using four years of outdoor testing of five different photovoltaic modules. Measured ambient temperature and solar irradiance are used in the categorization of the software estimation performances. PV*SOL appears to be superior at low irradiance and ambient temperature, whereas Helioscope appears to be superior overall.

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Seasonal variation of PV module performance in tropical regions

Cited by 8 publications

References 6 publications

A simple approach to model the performance of photovoltaic solar modules in operation

A simple approach to model the performance of photovoltaic solar modules in operation

Disaggregating Longer-Term Trends from Seasonal Variations in Measured PV System Performance

Assessment of photovoltaic module temperature estimation for four years with four different software

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