Special Issue "Analysis and Numerical Modeling in Solar Photovoltaic Systems"

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

Deadline for manuscript submissions: 31 May 2021.

Special Issue Editors

Prof. Laurentiu Fara
Website
Guest Editor
Polytechnic University of Bucharest, Faculty of Applied Sciences, Physics Dept.
Interests: advanced solar cells; tandem heterojunction solar cells; electro-optical numerical modeling; PV systems; MPPT; FLC; operational optimization analysis; BIPV; PV parks; PV pumping; RAMS reliability; economic feasibilty
Dr. James Connolly
Website
Guest Editor
CentraleSupélec, GeePs (Group of electrical engineering - Paris), 3 & 11 rue Joliot-Curie, Plateau de Moulon 91192 Gif-sur-Yvette CEDEX, France
Interests: Materials, Photovoltaics, Experimental Physics, Software Development, Device Modelling
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Special Issue Information

Dear Colleagues,

The Guest Editor is inviting submissions for a Special Issue of Energies on the subject area of “Analysis and Numerical Modeling in Solar Photovoltaic Systems”.
The increased demand in the power supply has imposed a stress on the preoccupations regarding the quality of electricity, determining that energy production has to be reliable and stable. The aspects regarding the quality of electricity, based on renewable energy, are not yet favorable to large power systems, raising compatibility issues with the electricity grid. The production of conventional electricity, based on fossil fuels, has managed to maintain a balance between the produced energy and its quality, so far; however, this conventional approach is expected to be eliminated in the near future, both for environmental reasons and due to depletion of resources, determined by oil and natural gas. This has redirected a wealth of studies and research to renewable energy. At the same time, there is a growing awareness of the importance of a clean environment, with major concerns related to global warming and environmental pollution, which have given an additional impetus to new technologies for electricity generation. Thus, it has been possible to move to the exploitation of renewable energy on a larger scale; in particular, the installed capacity of photovoltaic (PV) systems has increased. However, the quality of electricity produced by the photovoltaic sector varies in both annual and daily cycles (day–night), depending very much on specific meteorological parameters such as solar irradiance, temperature, and humidity, respectively on spontaneous factors such as clouds, nebulosity, aerosol content, etc. As these issues contribute negatively to the development of PV systems, the field is open to research, with many unsolved issues.
There are concerns regarding increasing the conversion efficiency of solar cells, their numerical modeling and simulation being a priority direction. At the same time, different methods are being considered to improve the electrical efficiency of PV systems, using various techniques and tools, such as maximum power point tracking (MPPT), the implementation of fuzzy logic controller (FLC) algorithms, and the development of intelligent systems for tracking the optimal point of solar energy capture and conversion (tracking system). In the future, the gradual reduction of costs for PV modules and increasing the conversion efficiency of solar energy into electricity will accelerate the process of developing new capacities of PV systems. At the same time, established specific standards have been in the photovoltaic field, namely, Q3 (quality and reliability standards for BOS), Q4 (quality and reliability standards for PV generators), UL1741 (quality and safety standards for inverters, converters, and controllers used in PV applications), T1 and C2 (compatibility/interface standards for PV distributed systems), T2 and C3 (compatibility/interface standards for smart grid), and others.
A very good policy in the standardization of PV components and systems, together with their operational optimization based on numerical modeling, would allow the development of performant elements to be used in the photovoltaic sector.
The focus on PV systems as a renewable energy option represents an innovative technological and mitigation strategy. If future projections hold, renewables will account for over 50% of CO2 emission reduction by 2050. They also contribute to economic development via an increase in gross domestic product, energy access, secure energy supply, and the reduction of negative impacts on the environment and health.
Hence, this Special Issue looks for participation of international experts dedicated to “Analysis and Numerical Modeling in Solar Photovoltaic Systems” using strong scientific and multidisciplinary knowledge. We call for contributions from different disciplines on original/innovative approaches based on performant simulation tools, as well as review articles, applicable to analysis and numerical modeling in solar photovoltaic systems.

The main aspects associated with analysis and numerical modelling will be dedicated to:

  • advanced solar cells;
  • PV systems;
  • PV modules;
  • Advanced electrical batteries;
  • Power electron converters;
  • The MPPT method and FLC algorithm;
  • Impact on centralized generation.

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

  • Numerical modeling of advanced solar cells;
  • Numerical analysis and modeling of PV modules;
  • Numerical modeling of PV standalone and grid-connected systems;
  • Numerical modeling of power electron converters, including MPPT and FLC tools;
  • Numerical modeling of advanced batteries;
  • Numerical modeling of hybrid PV/thermal(PV/T) systems;
  • Numerical simulation and analysis of the impact of PV systems on centralized generation.

Prof. Laurentiu Fara
Dr. James Connolly
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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 2000 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

  • Advanced solar cell, PV module, BOS, controller, inverter, electrical battery
  • Maximum power point tracking (MPPT)
  • Fuzzy logic controller (FLC)
  • Machine learning modeling
  • Autonomous (standalone) PV system
  • Grid-connected PV system
  • BIPV system
  • photovoltaic park
  • PV applications (PV pumping, PV lighting, etc.)
  • Hybrid system
  • PV performance
  • RAMS
  • PV complex system

Published Papers (1 paper)

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Research

Open AccessArticle
Global Horizontal Irradiance Modeling for All Sky Conditions Using an Image-Pixel Approach
Energies 2020, 13(24), 6719; https://doi.org/10.3390/en13246719 - 19 Dec 2020
Abstract
Ground images with a sky camera have become common to evaluate cloud coverage, aerosols, and energy collection. In parallel, the growth of solar energy has led to an impulse to evaluate and forecast the solar potential in a site before investments, which has [...] Read more.
Ground images with a sky camera have become common to evaluate cloud coverage, aerosols, and energy collection. In parallel, the growth of solar energy has led to an impulse to evaluate and forecast the solar potential in a site before investments, which has increased the importance of solar power measurements. Facing that scenario, this work presents a novel sky camera model that allows to measure the global horizontal irradiance (GHI). Initially, images from a fisheye camera were stored and a pixel-based approach model was created for cloud segmentation. A total of 813 k vectors of features were used as input to the support vector machine for classification (SVC), which yielded a success rate of about 98.6% in accuracy. The Sun’s position was also segmented and an artificial neural network (ANN) regression model for GHI with 17 input features was created based on segmentation of the Sun, clouds, and sky. The training/validation stage of the ANN used 89,964 samples and the test stage reached about 97.4% in Pearson’s correlation. The RMSE was 72.3 W/m2 for GHI and the normalized RMSE, nRMSE, revealed 12.9% for GHI. That nRMSE value was comparable to or lower than other studies, despite the high fluctuations in the observed GHI. Full article
(This article belongs to the Special Issue Analysis and Numerical Modeling in Solar Photovoltaic Systems)
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