Three PV plants performance analysis using the principal component analysis method

Adar, Mustapha; Najih, Youssef; Gouskir, Mohamed; Chebak, Ahmed; Mabrouki, Mustapha; Bennouna, A.

doi:10.1016/j.energy.2020.118315

Cited by 39 publications

(28 citation statements)

References 50 publications

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“…It also represents the energy obtained under ideal conditions. This parameter represents the number of hours that sunlight is equal to the reference [15, 39] and its units are hours/day. The factor “array yield (

Y_{a}

)” PV is defined as the ratio between the total energy E A DC (kWh) generated by the PV system for a defined period (day, month, or year) and the nominal power P 0 (kWp) of the system 38,39 .…”

Section: Resultsmentioning

confidence: 99%

“…36 This amount represents the number of hours that the PV plant operates at its nominal power. 15 The final yield is defined as the AC energy production of the system (daily, monthly, or annual), divided by the nominal power of the PV panel, and it is defined under standard solar irradiance test conditions of 1 kW/ m 2 and cell temperature of 25 C. 37,38 This parameter enables the comparison of similar solar PV plants in a specific geographic location. The "reference yield (Y r )" factor is the relationship between the total solar radiation Ht (kWh/m 2 ) that reaches the surface of the PV solar panels and the amount of reference radiation G 0 (1 kW/m 2 ).…”

Section: Technical Kpismentioning

confidence: 99%

“…This standard form is the basis for the performance analysis of PV systems. 15 Although, these methods require long campaigns that are usually conducted once a year.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Management of operation and maintenance practices in photovoltaic plants: Key performance indicators

Rediske

Michels

Siluk

et al. 2022

Intl J of Energy Research

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Summary The number of large photovoltaic (PV) power plants is increasing around the world. Energy sale usually follows demand contracts with clearly defined obligations, subject to nonsupply penalties. Not supplying the amount of contracted energy is a critical issue to PV plant performance, which can be mitigated with operation and maintenance (O&M) good practices. Furthermore, as the PV plant ages, O&M practices become increasingly important to improve or maintain a good performance. Performance assessment is a complex process that involves several parameters to collect, indicators to measure, and action plans to solve the identified problems. The objective of this study is to identify relevant factors in performance evaluation of O&M practices of medium to large PV plants. Through a systematic literature review and Delphi method with specialists, 33 key performance indicators (KPIs) were determined and classified in operation or maintenance categories, and further in technical or economic subcategories. This paper also organized a set of parameters that PV plant managers should collect to determine the KPIs and evaluate the O&M practices performance. Efficient management of O&M practices results in an indirect increase in generation capacity, as well as ensuring compliance with electricity supply contracts.

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Y_{a}

)” PV is defined as the ratio between the total energy E A DC (kWh) generated by the PV system for a defined period (day, month, or year) and the nominal power P 0 (kWp) of the system 38,39 .…”

Section: Resultsmentioning

confidence: 99%

Section: Technical Kpismentioning

confidence: 99%

See 1 more Smart Citation

Management of operation and maintenance practices in photovoltaic plants: Key performance indicators

Rediske

Michels

Siluk

et al. 2022

Intl J of Energy Research

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“…Each station generates in totality 6 KWp where 2 kWp produced by each silicon technology (monocrystalline (mc-Si), polycrystalline (pc-Si) and amorphous (a-Si)). All descriptions of the plants will be found in [1], [22]- [24]. In addition to the photovoltaic system, the plants also consist of similar weather stations in each city described briefly in [25].…”

Section: Pv Plant Descriptionmentioning

confidence: 99%

Performance comparison and impact of weather conditions on different photovoltaic modules in two different cities

Bahanni

Adar

Boulmrharj

et al. 2022

IJEECS

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<span>This work is based on a comparative study of the impact of meteorological conditions as well as the assessment of the production performance of two identical photovoltaic stations installed in two Moroccan cities, the stations are based on three different technologies. The measures of one year of operation from January 2017 to December 2017 were evaluated. The annual average performance ratios were found to be 82.42%, 79.99% and 78.74% in Beni Mellal, and 85.29%, 84.61% and 70.41% in El Jadida for the polycrystalline (pc-Si), monocrystalline (mc-Si), and amorphous (a-Si) respectively. The photovoltaic efficiency was calculated at 12.24%, 11.89%, and 11.71% in Beni Mellal; and 12.59%, 12.49%, and 10.42% in El Jadida by the same order. Statistical analysis was carried out to establish the correlation with photovoltaic (PV) production showed that after irradiation, the temperature is the most influencing meteorological factor for PV production, revealing a degradation in the performance ratio of 2.5%, 2%, and 1% for each increase of 8 °C in temperature for monocrystalline, polycrystalline and amorphous technologies respectively at Beni Mellal. While at El Jadida the reduction in the performance ratio is evaluated by 5.5%, 5.2%, and 3% for each 8 °C increase in temperature for the same order.</span>

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“…Solar radiation, ambient temperature, PV panel temperature, and wind measurements are recorded during the test study. Many other works have been conducted to evaluate performance of various PV panels in different locations such as Slovenia [15], Norway [16], Ireland [17], Morocco [18], Brazil [19], Nigeria [20], Jordan [21], Algeria [22], and Croatia [23]. To the best of our knowledge, this is the first work which assesses outdoor performance of four different types of new and 5-year-old PV panels.…”

Section: Introductionmentioning

confidence: 99%

Outdoor Performance Assessment of New and Old Photovoltaic Panel Technologies Using a Designed Multi-Photovoltaic Panel Power Measurement System

Karabulut

Kusetoğulları

Kivrak

2020

International Journal of Photoenergy

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This paper presents a new multi-photovoltaic panel measurement and analysis system (PPMAS) developed for measurement of atmospheric parameters and generated power of photovoltaic (PV) panels. Designed system presented with an experimental study evaluates performance of four new and four 5-year-old PV panel technologies which are based on polycrystalline (Poly), monocrystalline (Mono), copper indium selenide (CIS), and cadmium telluride (CdTe) in real time, under same atmospheric conditions. The PPMAS system with the PV panels is installed in Yildirim Beyazit University, Ankara Province, in Turkey. The designed PPMAS consists of three different subsystems which are (1) photovoltaic panel measurement subsystem (PPMS), (2) meteorology measurement subsystem (MMS), and (3) data acquisition subsystem (DAS). PPMS is used to measure the power generation for PV panels. MMS involves different types of sensors, and it is designed to determine atmospheric conditions including wind speed, wind direction, outdoor temperature, humidity, ambient light, and panel temperatures. The measured values by PPMS and MMS are stored in a database using DAS subsystem. In order to improve the measurement accuracy, PPMS and MMS are calibrated. This study also focuses on outdoor testing performances of four new and four 5-year-old PV panels. Average monthly panel efficiencies are estimated as 8.46%, 8.11%, 5.65%, and 3.88% for new Mono, new Poly, new CIS, and new CdTe PV panels, respectively. Moreover, average monthly panel efficiencies of old panels are calculated as 8.22%, 7.85%, 5.35%, and 3.63% in the same order. Test results obtained from the experimental system are also statistically examined and discussed to analyze the performance of PV panels in terms of monthly panel efficiencies.

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Three PV plants performance analysis using the principal component analysis method

Cited by 39 publications

References 50 publications

Management of operation and maintenance practices in photovoltaic plants: Key performance indicators

Management of operation and maintenance practices in photovoltaic plants: Key performance indicators

Performance comparison and impact of weather conditions on different photovoltaic modules in two different cities

Outdoor Performance Assessment of New and Old Photovoltaic Panel Technologies Using a Designed Multi-Photovoltaic Panel Power Measurement System

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