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Radiation View Factor for Building Applications: Comparison of Computation Environments

Author

Listed:
  • Marzia Alam

    (School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Boundary Rd N, Edinburgh EH14 4AS, UK)

  • Mehreen Saleem Gul

    (School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Boundary Rd N, Edinburgh EH14 4AS, UK)

  • Tariq Muneer

    (School of Engineering and The Built Environment, Edinburgh Napier University, 10 Colinton Rd, Edinburgh EH10 5DT, UK)

Abstract

Computation of view factors is required in several building engineering applications where radiative exchange takes place between surfaces such as ground and vertical walls or ground and sloping thermal or photovoltaics collectors. In this paper, view factor computations are performed for bifacial solar photovoltaic (PV) collectors based on the finite element method (FEM) using two programming languages known as Microsoft Excel-Visual Basic for Applications (VBA) and Python. The aim is to determine the computer response time as well as the performance of the two languages in terms of accuracy and convergence of the numerical solution. To run the simulations in Python, an open source just-in-time (JIT) compiler called Numba was used and the same program was also run as a macro in VBA. It was observed that the simulation response time significantly decreased in Python when compared to VBA. This decrease in time was due to the increase in the total number of iterations from 400 million to 250 billion for a given case. Results demonstrated that Python was 71–180 times faster than VBA and, therefore, offers a better programming platform for the view factor analysis and modelling of bifacial solar PV where computation time is a significant modelling challenge.

Suggested Citation

  • Marzia Alam & Mehreen Saleem Gul & Tariq Muneer, 2019. "Radiation View Factor for Building Applications: Comparison of Computation Environments," Energies, MDPI, vol. 12(20), pages 1-14, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3826-:d:274865
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    References listed on IDEAS

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    1. A. Ahmadi & P. H. Robinson & F. Elizondo & P. Chilibroste, 2018. "Implementation of CTR Dairy Model Using the Visual Basic for Application Language of Microsoft Excel," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 9(3), pages 74-86, July.
    2. Carlos Rubio-Bellido & Jesús A. Pulido-Arcas & Benito Sánchez-Montañés, 2015. "A Simplified Simulation Model for Predicting Radiative Transfer in Long Street Canyons under High Solar Radiation Conditions," Energies, MDPI, vol. 8(12), pages 1-19, December.
    3. Marius Zoder & Janosch Balke & Mathias Hofmann & George Tsatsaronis, 2018. "Simulation and Exergy Analysis of Energy Conversion Processes Using a Free and Open-Source Framework—Python-Based Object-Oriented Programming for Gas- and Steam Turbine Cycles," Energies, MDPI, vol. 11(10), pages 1-19, September.
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