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Energy Performance of Photovoltaic Systems
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Energy Performance of Photovoltaic Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A2: Solar Energy and Photovoltaic Systems".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 9927

Special Issue Editors

Prof. Dr. Yu-Pei Huang

E-Mail Website
Guest Editor
Department of Electronic Engineering, National Quemoy University, Kinmen County 892, Taiwan
Interests: high-concentration photovoltaic systems; instrumentation and sensor systems; applications of artificial intelligence in energy systems
Dr. Hao-Ying Lu

E-Mail Website
Guest Editor
Department of Electronic Engineering, National Quemoy University, Kinmen County 892, Taiwan
Interests: solar cells; nano-material phosphor; sensor
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The feasibility of photovoltaic (PV) system investment is mainly based on the assessment of energy performance. However, the energy performance of PV systems is highly dependent on environmental conditions and system failures. The existence of non-ideal factors such as dust or soil, partial shading conditions, cell degradation, and system failures influences the electricity production of PV systems dramatically. These phenomena accelerate the development of PV-related research, concerned with aspects such as the efficiency improvement of cells/modules/systems, the inspection and monitoring of PV arrays/plants, the evaluation of system performance and the assessment of output energy, etc. The relevant research focuses on monitoring techniques, modelling approaches and the optimization of material/circuit/structure. On the other hand, various artificial intelligence software algorithms have been proposed to assist energy system performance, such as failure diagnosis, maximum power point tracking, energy assessment, etc.

This Special Issue aims to present and disseminate the most recent developments related to the materials, design, modelling, control algorithms, optimizations, applications, and evaluation of PV system performance.

Topics of interest for publication include, but are not limited to:

  • Performance evaluation methods;
  • Output energy assessment;
  • Inspection and monitoring techniques of solar arrays/plants;
  • Defect and failure diagnosis;
  • Advanced modelling and analysis approaches;
  • Optimal design methodologies of PV cells/modules/arrays;
  • Efficiency and energy improvement algorithms;
  • Economic feasibility assessments.

Prof. Dr. Yu-Pei Huang
Dr. Hao-Ying Lu
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • photovoltaic systems
  • energy performance
  • energy assessment
  • failure diagnosis
  • modelling
  • optimization
  • monitoring and inspection
  • system evaluation
  • efficiency improvement
  • maximum power point tracking
  • partial shading condition
  • circuit reconfiguration
  • economic feasibility

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Published Papers (4 papers)

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Research

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24 pages, 7681 KiB  
Article
Estimation of the Optimum Tilt Angle of Solar PV Panels to Maximize Incident Solar Radiation in Libya
by Alhassan Ali Teyabeen and Faisal Mohamed
Energies 2024, 17(23), 5891; https://doi.org/10.3390/en17235891 - 23 Nov 2024
Cited by 1 | Viewed by 2016
Abstract
The most significant factor affecting the performance of a solar photovoltaic (PV) system is its tilt angle. It determines the amount of incident solar energy at the panel surface. In this paper, the optimum tilt angle of solar PV panels is estimated based [...] Read more.
The most significant factor affecting the performance of a solar photovoltaic (PV) system is its tilt angle. It determines the amount of incident solar energy at the panel surface. In this paper, the optimum tilt angle of solar PV panels is estimated based on measured data recorded in twelve major cities in Libya by changing the panel’s tilt angle from 0∘ up to 90∘ in steps of 1∘ and searching for the corresponding maximum daily total solar radiation. A non-linear regression technique was applied to establish six empirical models to determine the optimum tilt angle in Libya. The accuracy of the models was evaluated using statistical criteria such as Taylor diagrams, root mean square error, mean bias error, and correlation coefficient. The results demonstrated that the monthly optimum tilt angle increased during the winter and decreased during the summer varying from 0∘ to 59∘. In addition, both third-order polynomial and Fourier models presented the best efficiency in estimating the optimum tilt angle with a correlation coefficient of 0.9943. The percent gain in average yearly solar energy received at the monthly optimum tilt angle varies from 12.43% to 17.24% for all studied sites compared to the horizontal surface. Full article
(This article belongs to the Special Issue Energy Performance of Photovoltaic Systems)
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18 pages, 13861 KiB  
Article
Minimization of Economic Losses in Photovoltaic System Cleaning Schedules Based on a Novel Methodological Framework for Performance Ratio Forecast and Cost Analysis
by Fabian Zuñiga-Cortes, Juan D. Garcia-Racines, Eduardo Caicedo-Bravo and Hernan Moncada-Vega
Energies 2023, 16(16), 6091; https://doi.org/10.3390/en16166091 - 21 Aug 2023
Cited by 7 | Viewed by 1506
Abstract
The growing interest in deploying photovoltaic systems and achieving their benefits as sustainable energy supplier raises the need to seek reliable medium-term and long-term operations with optimal performance and efficient use of economic resources. Cleaning scheduling is one of the activities that can [...] Read more.
The growing interest in deploying photovoltaic systems and achieving their benefits as sustainable energy supplier raises the need to seek reliable medium-term and long-term operations with optimal performance and efficient use of economic resources. Cleaning scheduling is one of the activities that can positively impact performance. This work proposes a methodological framework to define the optimal scheduling of the cleaning activities of photovoltaic systems. The framework integrates a forecast model of the performance ratio, including the environmental variables’ effect. In addition, an economic analysis involving the economic losses and maintenance costs of cleaning is used. This framework is applied to a case study of a photovoltaic system located in Yumbo, Colombia. Based on the historical data on irradiance, active energy, temperature, rainfall, and wind speed, the obtained forecast model of the photovoltaic system’s performance ratio in a 60-day horizon has a mean absolute percentage error lesser of than 11%. The next cleaning date is forecasted to be beyond the horizon in a 19-day range, which will decrease as time goes by. This framework was applied to historical data and compared to actual cleaning dates performed by the utility company. The results show a loss of USD 33.616 due to unnecessary, early, or late cleaning activities. Full article
(This article belongs to the Special Issue Energy Performance of Photovoltaic Systems)
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16 pages, 5330 KiB  
Article
Disperse Partial Shading Effect of Photovoltaic Array by Means of the Modified Complementary SuDoKu Puzzle Topology
by Cheng-En Ye, Cheng-Chi Tai and Yu-Pei Huang
Energies 2023, 16(13), 4910; https://doi.org/10.3390/en16134910 - 24 Jun 2023
Cited by 8 | Viewed by 1576
Abstract
This paper presents a novel modified Complementary SuDoKu puzzle (MC-SDKP) topology for the static reconfiguration of photovoltaic (PV) arrays. It was developed with the aim of enhancing the power output of a PV array which is exposed to partially shaded conditions (PSCs). To [...] Read more.
This paper presents a novel modified Complementary SuDoKu puzzle (MC-SDKP) topology for the static reconfiguration of photovoltaic (PV) arrays. It was developed with the aim of enhancing the power output of a PV array which is exposed to partially shaded conditions (PSCs). To disperse patterns of both center shading and corner shading, the MC-SDKP technique modified and combined the Optimal SDKP and the Complementary SDKP (C-SDKP) topologies. An 8 × 8 PV array configured with the MC-SDKP topology was exposed to nine different shading patterns, and its performance was compared with that of the other four topologies. The results of the performance evaluation confirmed that, when configured according to the MC-SDKP, the PV array produced the highest average power output among all five topologies, with a 15.07% higher output on average than the total-cross tied. The PV array with the MC-SDKP topology also exhibited the lowest average power loss (1.34%). This study clearly established the effectiveness of the MC-SDKP topology at mitigating the effects of both center and corner shading. The advantages of the MC-SDKP reconfiguration technique are: an increase in extracted power, a reduction in current mismatch losses, an improvement in shade dispersion under conditions of center shading, and good scalability. Full article
(This article belongs to the Special Issue Energy Performance of Photovoltaic Systems)
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Review

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31 pages, 593 KiB  
Review
Comprehensive Review of Dust Properties and Their Influence on Photovoltaic Systems: Electrical, Optical, Thermal Models and Experimentation Techniques
by Hussam Almukhtar, Tek Tjing Lie, Wisam A. M. Al-Shohani, Timothy Anderson and Zaid Al-Tameemi
Energies 2023, 16(8), 3401; https://doi.org/10.3390/en16083401 - 12 Apr 2023
Cited by 24 | Viewed by 4174
Abstract
As conventional energy sources decrease and worldwide power demand grows, the appeal of photovoltaic (PV) systems as sustainable and ecofriendly energy sources has grown. PV system installation is influenced by geographical location, orientation, and inclination angle. Despite its success, weather conditions such as [...] Read more.
As conventional energy sources decrease and worldwide power demand grows, the appeal of photovoltaic (PV) systems as sustainable and ecofriendly energy sources has grown. PV system installation is influenced by geographical location, orientation, and inclination angle. Despite its success, weather conditions such as dust substantially influences PV module performance. This study provides a comprehensive review of the existing literature on the impact of dust characteristics on PV systems from three distinct perspectives. Firstly, the study looks at the dust properties in different categories: optical, thermal, physical, and chemical, highlighting their significant impact on the performance of PV systems. Secondly, the research reviews various approaches and equipment used to evaluate dust’s impact on PV, emphasizing the need for reliable instruments to measure its effects accurately. Finally, the study looks at modeling and predicting the influence of dust on PV systems, considering the parameters that affect electrical, optical, and thermal behavior. The review draws attention to the need for further research into dust’s properties, including thermal conductivity and emissivity. This analysis highlights the need for further research to develop a scientific correlation to predict the thermal behavior of PV in dusty environments. This paper identifies areas for further research to develop more efficient and effective methods for analyzing this influence and improving PV efficiency and lifespan. Full article
(This article belongs to the Special Issue Energy Performance of Photovoltaic Systems)
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