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Solar Cells and Photoelectrochemical Cells: Current Status, Challenges, and Future

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 5588

Special Issue Editor


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Guest Editor
Department of Chemistry, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA
Interests: donor-acceptor molecules; hole transporting materials; organic Synthesis; perovskite solar cells; photovoltaics; polymers; semiconductor materials; solar energy; solar fuels

Special Issue Information

Dear Colleagues,

Global climate change, anthropogenic greenhouse gas emissions and the increasing energy demand are among the most burning issues facing humanity at present. Recently, fossil fuels, including solid-state coal, liquid-state petroleum and gaseous-state natural gas, have shown significant contributions to energy production. However, limited fossil fuel resources and the accumulation of CO2 in the atmosphere from burning these fuels have sparked the demand for alternative inexpensive renewable energy resources. Therefore, it is necessary to diversify the available energy sources, mainly renewable energies, including wind energy, biomass energy, solar energy, etc. Among the various technologies in the field of renewable energy, photovoltaic (PV) technology, which embraces the direct conversion of sunlight into electricity, has become one of the most significant fields. It is considered as a clean, sustainable, renewable energy conversion technology that can help us to meet the energy demands of the world’s growing population and reduce fossil fuel consumption. According to the solar generation report written by the EPIA (European Photovoltaic Industry Association) and Greenpeace International, photovoltaic power generation will cover 9% of the world's demand in 2030. Therefore, solar energy has the ability to meet the increasing global energy demand and is a promising renewable resource because the sun can supply abundant and non-contaminated clean energy. Harvesting energy directly from sunlight using photovoltaic technology (based on artificial photosynthesis) significantly reduces atmospheric emissions, and avoiding the detrimental effects of these gases on the environment could represent an important solution to the population’s energy needs. In this context, photovoltaics and photo-catalysis are hot topics in current renewable energy research, which has been neglected until this point. Importantly, the generation of electrical energy from sunlight using photovoltaic and photo-catalysis technology offers low production cost, eco-friendly, and large-scale industrial applications.

This Special Issue is entitled “Solar Cells and Photoelectrochemical Cells: Current Status, Challenges, and Future”. For this Special Issue, we would like to invite researchers to contribute original research articles, communications, full papers, perspectives and review articles that indicate the importance of solar cells and photoelectrochemical cells.

Dr. Naresh Duvva
Guest Editor

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Keywords

  • green energy
  • solar energy conversion including photovoltaics
  • solar fuel production, storage, and distribution
  • solar chemistry
  • energy efficiency
  • renewable energy
  • photovoltaic systems
  • artificial photosynthesis
  • energy materials and devices
  • photocatalysis
  • photoelectrochemical cells
  • dye degradation
  • dye sensitized (DSSC) and organic solar cells
  • perovskite solar cells
  • flexible and transparent solar cells

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Published Papers (1 paper)

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Review

30 pages, 3099 KiB  
Review
A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation
by Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong and Whei-Min Lin
Energies 2023, 16(14), 5436; https://doi.org/10.3390/en16145436 - 17 Jul 2023
Cited by 16 | Viewed by 4935
Abstract
Accurately predicting the power produced during solar power generation can greatly reduce the impact of the randomness and volatility of power generation on the stability of the power grid system, which is beneficial for its balanced operation and optimized dispatch and reduces operating [...] Read more.
Accurately predicting the power produced during solar power generation can greatly reduce the impact of the randomness and volatility of power generation on the stability of the power grid system, which is beneficial for its balanced operation and optimized dispatch and reduces operating costs. Solar PV power generation depends on the weather conditions, such as temperature, relative humidity, rainfall (precipitation), global solar radiation, wind speed, etc., and it is prone to large fluctuations under different weather conditions. Its power generation is characterized by randomness, volatility, and intermittency. Recently, the demand for further investigation into the uncertainty of short-term solar PV power generation prediction and its effective use in many applications in renewable energy sources has increased. In order to improve the predictive accuracy of the output power of solar PV power generation and develop a precise predictive model, the authors used predictive algorithms for the output power of a solar PV power generation system. Moreover, since short-term solar PV power forecasting is an important aspect of optimizing the operation and control of renewable energy systems and electricity markets, this review focuses on the predictive models of solar PV power generation, which can be verified in the daily planning and operation of a smart grid system. In addition, the predictive methods identified in the reviewed literature are classified according to the input data source, and the case studies and examples proposed are analyzed in detail. The contributions, advantages, and disadvantages of the predictive probabilistic methods are compared. Finally, future studies on short-term solar PV power forecasting are proposed. Full article
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