Synthetic Series of Electricity Generation through a Photovoltaic System by using Different Panel Temperature Models

Authors

  • A. H. M. Stach Author
  • D. P. Neto Author
  • M. A. Vidal Author
  • O. C. N. Souto Author
  • B. Silva Author
  • E. G. Domingues Author

DOI:

https://doi.org/10.24084/repqj19.208

Keywords:

Stochastic Modeling, Photovoltaic Systems, Panel Temperature, Synthetic Series

Abstract

Nowadays, the construction sector mustcomplywith increasingly high-performancesand sustainability instances. To meetmultiple requirements, it is important to apply a multi-criteria design approach, which allows the designer to analyze, evaluate, choose, and summarize the parameters to pay attentionto in pursuit ofbuildingquality. A conscious use of green materials and technologies avoid the risk of greenwashing, which is common both inproductionand construction.

This contribution investigatesthe performancesof different green building construction solutions. Moreover, it comparesthem with the performancesof commonly adopted technological solutions in contemporary construction.

The methodology adopted in the investigation provides for the realization of a multi-criteria analysis in which thermal, energy performances, environmental and economic costs associated with these technologies are assessed. These considerations are contextualized in the case of new construction in a Mediterranean climate.

The conclusions highlight how complex it is to identify a single building technologythat optimizesallthe performance criteria chosen. Proper design must consider several factors such as local climate, environmental context, and planovolumetric design to maximize the performance of the selected criterion.

Author Biographies

  • A. H. M. Stach

    The electric energy produced by photovoltaic systems is a function of several variables that present random behavior, such as solar irradiance, ambient temperature, wind speed, and relative humidity. Several models describe the energy produced by these systems, which reflect the various factors that influence the generation and how significant these influences are. In this way, the present work aims to compare some panel temperature models and the electrical energy produced from a photovoltaic system located in the Midwest of Brazil. The applied methodology aims to evaluate the expected averages and standard deviations of the monthly synthetic series of generated energy to identify the main random variables that influence the electric generation. The results indicate the model that best describes the physical system concerning the randomness of the variables involved, the photovoltaic technology, the location, and the measurement period.

  • D. P. Neto

    Master’s Program in Sustainable Process Technology

    Electrical Engineering/Control and Automation Engineering Program

    NeXT - Nucleus of Experimental and Technological Studies

  • M. A. Vidal

    Master’s Program in Sustainable Process Technology 

    Electrical Engineering/Control and Automation Engineering Program

    NeXT - Nucleus of Experimental and Technological Studies

  • O. C. N. Souto

    Electrical Engineering/Control and Automation Engineering Program

  • B. Silva

    Electrical Engineering/Control and Automation Engineering Program NeXT –

        Nucleus of Experimental and Technological Studies

  • E. G. Domingues

    Master’s Program in Sustainable Process Technology

    Electrical Engineering/Control and Automation Engineering Program NeXT –

        Nucleus of Experimental and Technological Studies

    Federal Institute of Education, Science and Technology of Goiás. Brazil

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Published

2023-12-28

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Section

Articles