An integrated review of factors influencing the perfomance of photovoltaic panels

Fouad, M.M.; Shihata, Lamia A.; Morgan, Elsayed I.

doi:10.1016/j.rser.2017.05.141

Cited by 307 publications

(120 citation statements)

References 61 publications

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“…These are known to be affected by a number of environmental and operational factors [20]. Moreover, a wider spread of yearly yield values can be expected from countries covering larger areas as a result of the variation of irradiation levels at different latitudes.…”

Section: Yield Analysis and Performance Ratiomentioning

confidence: 99%

Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries

2018

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This paper presents the results of the analyses of operational performance of small-sized residential PV systems, connected to the grid, in The Netherlands and some other European countries over three consecutive years. Web scraping techniques were employed to collect detailed yield data at high time resolution (5-15 min) from a large number (31,844) of systems with 741 MWp of total capacity, delivering data continuously for at least one year. Annual system yield data was compared from small and medium-sized installations. Cartography and spatial analysis techniques in a geographic information system (GIS) were used to visualize yield and performance ratio, which greatly facilitates the assessment of performance for geographically scattered systems. Variations in yield and performance ratios over the years were observed with higher values in 2015 due to higher irradiation values. The potential of specific yield and performance maps lies in the updating of monitoring databases, quality control of data, and availability of irradiation data. The automatic generation of performance maps could be a trend in future mapping.

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Section: Yield Analysis and Performance Ratiomentioning

confidence: 99%

Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries

2018

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“…A photovoltaic system is sustainable only if the energy produced during its operating life compensates the total energy costs that can be estimated through the life cycle assessment (LCA) methodology. The most commonly used materials from which PV panels are manufactured are mono-crystalline and poly-crystalline silicon [39]. Crystalline silicon modules are the most extensively studied PV types, since they are the most largely used.…”

Section: Environmental and Energy Indicators With An Orientation In Rmentioning

confidence: 99%

“…The significant effect of the temperature on the PV performance enhanced from the study of [54] which report that the output power of silicon based PV systems decrease with increasing PV module temperature. Environmental factors (external), PV system factors (internal), PV system installation factors (operational), PV system cost factors (economic) and other type of miscellaneous factors, have a considerable contribution on the system performance [39]. Although the PV technology is one of the most dominant RES solutions being currently applied and examined, it is associated with not negligible environmental concerns.…”

Section: Eosg = Electricity Produced By Res Elecrticity Produced On Smentioning

confidence: 99%

A review of key environmental and energy performance indicators for the case of renewable energy systems when integrated with storage solutions

et al. 2018

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During the last years a variety of numerical tools and algorithms have been developed aiming at quantifying and measuring the environmental impact of multiple types of energy systems, as those based on Renewable Energy Sources. Plenty of studies have proposed the use of a Life Cycle Assessment methodology, to determine the environmental impact of renewable installations when coupled with storage solutions, based on a pre-selected repository of Key Performance Indicators. The main scope of this paper is to propose a limited number of best fitting, and at the same time easily adaptable to various configurations, list of KPIs for the case of renewable energy systems. This is done by capitalizing on the environmental and energy performance KPIs tracked in the open literature (e.g. "Global Warming Potential", "Energy Payback Time", "Battery Total Degradation", "Energy Stored on Invested", "Cumulative Energy Demand") and/or other proposing new simple, scalable and adaptable ones, (e.g. "Embodied Energy for Infrastructure of Materials and for the building system", "Life Cycle CO2 Emissions", "Reduction of the Direct CO2 emissions", "Avoided CO2 Emissions", "CO2 equivalent Payback Time"). Moreover, the proposed KPIs are distributed according to the individual phases of the entire life-cycle of a related component of a renewable energy system, each time the environmental impact refers to, i.e. manufacturing, operational and end-of-life. Apart from that, the current paper presents a necessary base grounded approach, which can be followed for a holistic approach in environmental point of view of renewable-based technologies, by addressing the potential competing interests of the relevant stakeholders (e.g. profit for the market operator in contrast to low-cost services for the consumer). All in all, the scalar quantification of the environmental impact of multiple energy systems, through a list of proposed assessment criteria, being evaluated in terms of the selected repository of KPIs, enables the comparison on a fair basis of the available energy systems, irrespective if they are fossil-fuel or RES based ones. As a typical example, a simple standard model of a photovoltaic integrated with an electric battery is selected, for which indicative indicators are provided.

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“…But despite this vast energy resource, harvesting it remains a challenge because of the limited energy conversion efficiency of photovoltaic (PV) panels [1], [2]. Commercially available PV panels have energy conversion efficiencies that range from 14% to 22% [3]. This low efficiency is further aggravated by environmental factors like solar irradiance [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation

Sabran¹,

Fajardo²

2019

IJRTE

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A previous study proposed a nature-inspired tracking strategy that mimics the solar tracking behavior of sunflowers driven by the light stimulus and the circadian clock. The approach delivered a good tracking performance with an average tracking error of 0.727° under clear, partly cloudy, and cloudy conditions. However, it incurred high tracking errors caused by false detection brought about by the abrupt changes in the amount of solar radiation during realignment. In addition, the scheme also maintained high stepper motor current consumption due to the use of a fixed stepping resolution. To address these issues, the previous tracking routine was modified to direct the search for the sun’s position to a range of calculated altitude angles where a fine-tuning process will be performed using current measurements and the adoption of a variable stepping resolution during panel reorientation. Experiments were conducted to measure the performance of the modifications in terms of tracking error, power generation, and stepper motor current consumption. A comparison of the performances between the previous and the modified approaches was done to assess the impact of the proposed improvement. The result of the comparison showed that the modifications significantly improved the overall tracking performance of the strategy.

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An integrated review of factors influencing the perfomance of photovoltaic panels

Cited by 307 publications

References 61 publications

Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries

Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries

A review of key environmental and energy performance indicators for the case of renewable energy systems when integrated with storage solutions

An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation

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