Solar Energy Conversions

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 17 July 2024 | Viewed by 1280

Special Issue Editor


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Guest Editor
Department of Mechanical and Materials Engineering, Florida International University, Miami, FL 33174, USA
Interests: renewable energy; heat transfer; multiphase flow; fuel cell

Special Issue Information

Dear Colleagues,

Solar Energy Conversion and renewable energy are crucial parts of modern industry and society. Solar energy conversion describes technologies dedicated to converting solar energy into other (useful) forms of energy, including electricity, heat, and fuel, that involve devices such as photovoltaic (PV) panels that are capable of generating and storing solar energy. Today, due to the increasing energy cost and demand for economics and buildings, research and development in renewable energy are becoming significantly important and it is one of the principal challenges in the energy sector.

This special issue “Solar Energy Conversion” will provide a multi-disciplinary and insightful analysis of the problems and issues, which covers a wide range of topics in solar energy conversion, renewable and storing energy. Papers in this special issue address significant challenges in the renewable energy conversion, economic, saving energy materials, phase change materials, power sector, technical, policy, and regulatory issues about these subjects.

Potential topics include the following (but are not limited):

  • Solar energy
  • Solar energy storage
  • Solar cells
  • Renewable energy
  • Application of solar energy in the buildings
  • Phase change materials
  • Sustainable energy
  • Clean energy
  • The role of renewable energy in pollution
  • The role of solar energy in cooling and heating
  • Green energy
  • Fuel cell
  • Bio-mass solar energy
  • Solar-wind hybrid renewable energy systems

Dr. Rouhollah Moosavi
Guest Editor

Manuscript Submission Information

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Keywords

  • solar energy
  • energy conversion
  • storage energy
  • renewable energy
  • green energy
  • solar cell
  • sustainable energy

Published Papers (1 paper)

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Research

19 pages, 6717 KiB  
Article
Photovoltaic Array Dynamic Reconfiguration Based on an Improved Pelican Optimization Algorithm
by Sheng Li, Tianhong Zhang and Jiawei Yu
Electronics 2023, 12(15), 3317; https://doi.org/10.3390/electronics12153317 - 02 Aug 2023
Cited by 4 | Viewed by 968
Abstract
After prolonged operation, external objects may obstruct the photovoltaic (PV) array, resulting in prolonged partial shading. The dynamic reconfiguration of PV arrays uses a switch matrix to change the electrical positions of the PV cells in the array, and it is an effective [...] Read more.
After prolonged operation, external objects may obstruct the photovoltaic (PV) array, resulting in prolonged partial shading. The dynamic reconfiguration of PV arrays uses a switch matrix to change the electrical positions of the PV cells in the array, and it is an effective method to solve the problem of partial shading. Most of the current dynamic reconfigurations only consider the optimization of power output. Neglecting the switch actions will increase the number of switch matrix actions, making the switch control more complex and reducing the lifespan of devices. To address power optimization and switch action optimization simultaneously during dynamic reconfiguration, this paper introduces a novel objective function. This function combines power optimization and switch action optimization in a weighted manner. Based on the novel function, the algorithm prioritizes optimizing the electrical positions of PV cells with larger shading values. This ensures that the PV array can improve its output while significantly reducing the number of switch actions. The Pelican Optimization Algorithm (POA) is improved and employed to optimize the proposed objective function. In terms of the output power optimization, the effectiveness of the novel objective function with the improved POA is validated by comparing and analyzing the reconfiguration results with the conventional objective functions under four shading scenarios. The results demonstrate that the novel objective function with the improved POA increases the output power by 30% in short and wide shadow and achieves the highest power output. Moreover, the tests conducted on dynamic reconfiguration results with different weights validate the effectiveness of the novel objective function in minimizing switching actions while improving power output. Full article
(This article belongs to the Special Issue Solar Energy Conversions)
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