Potential of photovoltaic systems in countries with high solar irradiation

Makrides, George; Zinßer, Bastian; Norton, Matthew; Georghiou, George E.; Schubert, M.B.; Werner, Jürgen

doi:10.1016/j.rser.2009.07.021

Cited by 171 publications

(87 citation statements)

References 4 publications

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“…This study predicts an average specific yield of 1963 kWh/kW p for Nicosia from the results of the 3 simulation tools. A research study in Cyprus [11] showed that the installed fixed PV systems in Cyprus produced annual AC specific yields within the range of 1600-1700 kWh/kW p ; the study also showed that tracking systems in Cyprus generate AC energy yield of up to 2039 kWh/kW p . Another study presented specific yield values for fixed-axis and 2-axes PV systems varying between 1821 kWh/kW p and 2311 kWh/kW p [12].…”

Section: Specific Yieldmentioning

confidence: 96%

Evaluation of field data and simulation results of a photovoltaic system in countries with high solar radiation

Abbasoğlu¹,

Babatunde²

2015

Turk J Elec Eng & Comp Sci

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Abstract:The objective of this study is to examine the conformity of different simulation tools in analyzing the performance of photovoltaic (PV) systems in countries with high solar radiation. Primarily an installed system was evaluated and the results were compared with the simulation results of 3 globally known PV software tools: pvPlanner, PVsyst, and Homer. The parameters evaluated in this study are energy production, specific yield, performance ratio, and capacity factor. Detailed explanations are presented for monthly, seasonal, and annual variation of installed system data and simulation results. Northern Cyprus is selected as a case study due to high solar radiation and duration values.The total annual energy production of the installed 5.76 kW system amounts to 12,216 kWh for the year studied. All the simulation tools appear to underestimate the installed system's energy production and the variances observed are 5.3%, 9.3%, and 7.5% for pvPlanner, PVsyst, and Homer, respectively. Energy production in summer was observed to be about twice the production in winter. The percentage shares with respect to energy production are 34%, 28%, 22%, and 16% in summer, spring, autumn, and winter, respectively. The performance ratio of the system is 80.8%. However, the average performance ratio of the 3 simulators was found to be 78.6%. PVsyst modeled a performance ratio with the least deviation from the system with 79.2%. The specific yield and capacity factor of the installed system are 2121 kWh/kW p and 25.06%, respectively. The average specific yield value and average capacity factor of the 3 simulators are nearly 7% lower than the measured data of the installed system. Different factors led to the difference between real-world application and simulation results. These are discussed in this study in detail.

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Section: Specific Yieldmentioning

confidence: 96%

Evaluation of field data and simulation results of a photovoltaic system in countries with high solar radiation

Abbasoğlu¹,

Babatunde²

2015

Turk J Elec Eng & Comp Sci

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“…According to the literature, PV module performance can be degraded due to several factors such as: temperature [38], humidity [39], irradiation [40], corrosion [41], discoloration [42], and delamination [43]. The most important electrical characteristics of a PV module are the current voltage (I-V) [44] and power voltage (P-V) curves [45], short-circuit current (Isc) [46], open-circuit voltage (Voc), fill factor (FF) [47], and maximum power output (Pmax) [48].…”

Section: Description Of the Proposed Methodologymentioning

confidence: 99%

Intelligent Prognostic Framework for Degradation Assessment and Remaining Useful Life Estimation of Photovoltaic Module

Laayouj

Jamouli

Hail

2016

J. Eng. Technol. Sci.

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Abstract. All industrial systems and machines are subjected to degradation processes, which can be related to the operating conditions. This degradation can cause unwanted stops at any time and major maintenance work sometimes. The accurate prediction of the remaining useful life (RUL) is an important challenge in condition-based maintenance. Prognostic activity allows estimating the RUL before failure occurs and triggering actions to mitigate faults in time when needed. In this study, a new smart prognostic method for photovoltaic module health degradation was developed based on two approaches to achieve more accurate predictions: online diagnosis and data-driven prognosis. This framework of forecasting integrates the strengths of real-time monitoring in the first approach and relevant vector machine in the second. The results show that the proposed method is plausible due to its good prediction of RUL and can be effectively applied to many systems for monitoring and prognostics.

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“…They used radiation in visible spectrum as the source of light. Makrides et al [4] reviewed the most popular photovoltaic systems and provided nominal efficiencies of their conversion. During their studies they compared the efficiency of elements of an identical photovoltaic system mounted in Nicosia and Stuttgart and determined the differences [5] presented their own simulation program concluding that it is useful, and that apart from determining photovoltaic energy results it also allows to determine planned financial expenses.…”

Section: Introductionmentioning

confidence: 99%

Efficiency of solar radiation conversion in photovoltaic panels

et al. 2018

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Abstract. This paper included analysis the conversion efficiency in photovoltaic panels. The tests were done between February and June at a test stand equipped with three commonly used types of photovoltaic panels: poly-and monocrystalline silicon and with semi-conductive layer made of copper (Cu), indium (In), gallium (Ga) and selenium (Se) (CIGS). Five days of each month were selected for a detailed analysis. They were close to the so-called recommended day for calculations in solar power engineering. Efficiency, calculated as the yield of electrical energy in relation to solar radiation energy reaching the panels was made conditional upon solar radiation intensity and ambient temperature. It was found that as solar radiation intensity and ambient temperature increase, the efficiency of solar radiation conversion into electricity is reduced. Correlation dependence was determined for the test data obtained, describing temperature change of panels depending on climatic conditions. It was found that as panel temperature increases, the conversion efficiency is reduced. Within the tested scope of experiment conditions, the efficiency was reduced in the range between 20.1 and 22.8%. The authors also determined the average efficiency values in individual test months together with average ambient conditions of the environment where the process of solar radiation conversion took place.

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Potential of photovoltaic systems in countries with high solar irradiation

Cited by 171 publications

References 4 publications

Evaluation of field data and simulation results of a photovoltaic system in countries with high solar radiation

Evaluation of field data and simulation results of a photovoltaic system in countries with high solar radiation

Intelligent Prognostic Framework for Degradation Assessment and Remaining Useful Life Estimation of Photovoltaic Module

Efficiency of solar radiation conversion in photovoltaic panels

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