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Evolutionary Methods Based Modeling and Analysis of Solar Thermal SystemsIntroduction

Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems: Introduction [This chapter gives you a bird’s eye view of solar energy and puts solar energy systems into their proper context with regard to their usefulness and potential uses. The article starts off with a detailed breakdown of the many different types of solar power systems, along with their respective uses, benefits, and drawbacks. It then provides an overview of all the different kinds of thermal systems before moving on to the modeling and optimization issues that are unique to each. The evaluation of these solar energy systems’ performance is a multi-objective optimization issue that relies heavily on a wide range of system and operational elements, as well as environmental or climatic characteristics. This chapter covers not only solar thermal systems but also solar photovoltaic (PV) systems and other hybrid energy sources. The following numbers refer to the modeling and optimization of various solar energy systems using soft computing approaches and are based on the results of previous studies. The chapter concludes with a high-level discussion of the possible reach of future work on modeling and optimizing solar energy systems through the application of numerous distinct soft computing technologies.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Evolutionary Methods Based Modeling and Analysis of Solar Thermal SystemsIntroduction

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References (10)

  • D Jandacka (2017)

    397

    Transportation Research Part D: Transport and Environment, 50

  • V Khare (2016)

    23

    Renewable and Sustainable Energy Reviews, 58

  • IB Fridleifsson (2001)

    299

    Renewable and Sustainable Energy Reviews, 5

  • NL Panwar (2011)

    1513

    Renewable and Sustainable Energy Reviews, 15

  • Y Kumar (2016)

    209

    Renewable and Sustainable Energy Reviews, 53

  • R Saidur (2012)

    5899

    International Journal of Heat and Mass Transfer, 55

  • SM Ladjevardi (2013)

    327

    Solar Energy, 94

  • G Zhu (2014)

    639

    Solar Energy, 103

  • GN Nwaji (2019)

    412

    Energy and Buildings, 198

  • MP Thind (2019)

    14010

    Environmental Science & Technology, 53

Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
ISBN
978-3-031-27634-7
Pages
1 –22
DOI
10.1007/978-3-031-27635-4_1
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter gives you a bird’s eye view of solar energy and puts solar energy systems into their proper context with regard to their usefulness and potential uses. The article starts off with a detailed breakdown of the many different types of solar power systems, along with their respective uses, benefits, and drawbacks. It then provides an overview of all the different kinds of thermal systems before moving on to the modeling and optimization issues that are unique to each. The evaluation of these solar energy systems’ performance is a multi-objective optimization issue that relies heavily on a wide range of system and operational elements, as well as environmental or climatic characteristics. This chapter covers not only solar thermal systems but also solar photovoltaic (PV) systems and other hybrid energy sources. The following numbers refer to the modeling and optimization of various solar energy systems using soft computing approaches and are based on the results of previous studies. The chapter concludes with a high-level discussion of the possible reach of future work on modeling and optimizing solar energy systems through the application of numerous distinct soft computing technologies.]

Published: Apr 30, 2023

Keywords: Solar energy; Solar thermal collector; Solar air collector systems; Soft computing; Evolutionary techniques

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