Advances in Photovoltaic Power Generation Technology
Photovoltaics (PV) is the conversion of light into electricity using semiconducting materials that exhibit the photovoltaic effect, a phenomenon studied in physics, photochemistry, and electrochemistry. The photovoltaic effect is commercially used for electricity generation and as photosensors. Photovoltaic technology helps to mitigate climate change because it emits much less carbon dioxide than fossil fuels. Solar PV has specific advantages as an energy source: once installed, its operation does not generate any pollution or any greenhouse gas emissions; it shows scalability in respect of power needs and silicon has large availability in the Earth's crust, although other materials required in PV system manufacture such as silver may constrain further growth in the technology.
In the present book, ten typical literatures about Photovoltaic power generation technology research published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on Photovoltaic power generation technology research. We hope this book can demonstrate advances in Photovoltaic power generation technology research as well as give references to the researchers, students and other related people.
Sample Chapter(s)
Preface (46 KB)
Components of the Book:
  • Chapter 1
    Photovoltaic power prediction system based on dual layer decomposition strategy and a novel dynamic grouping multi objective coati optimization algorithm
  • Chapter 2
    Photovoltaics powered seawater desalination by reverse osmosis and water conveyance benefits the green energy transition in the Middle East
  • Chapter 3
    Promoting photovoltaic energy: a generation model for a capacity-constrained grid
  • Chapter 4
    Renewable energy powered membrane technology: Electrohydraulic control system design for managing pump shutdowns in a photovoltaicmembrane water desalination system
  • Chapter 5
    Solar photovoltaic cooling and power enhancement systems: A review
  • Chapter 6
    A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework
  • Chapter 7
    Powering the future: A comprehensive analysis of solar photovoltaic systems adoption in passive houses
  • Chapter 8
    A review of solar photovoltaic technologies: developments, challenges, and future per spectives
  • Chapter 9
    Data preprocessing and machine learning method based on ameliorated mathematical models for inferring the power generation of photovoltaic system
  • Chapter 10
    Explainable time-varying directional representations for photovoltaic power generation forecasting
Readership: Students, academics, teachers and other people attending or interested in Photovoltaic Power Generation Technology.
Franklin Chukwuebuka Nkado

School of Future Environments, Auckland University of Technology, Auckland, New Zealand

Daniel Lugo Laguna

Department of Industrial Engineering and Management Science, School of Engineering, University of Seville

Bayu Utomo

National Research and Innovation Agency (BRIN), KST BJ Habibie, Jl. Raya Puspiptek 60, Tangerang Selatan

and more...
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