Calculation of Energy Consumption Optimization Using by Software Simulation of Comsol Multiphysics (Case Study; Faculty of Physics, University of Tehran)

Authors

  • Wahidullah Enayat Teaching Assistant of Department of Physics, Samangan Higher Education Institute, AFGHANISTAN.
  • Sorgul Kashmiri Senior Teaching Assistant Professor, Lecturer at Physic Department, Balkh University, AFGHANISTAN.
  • Mohammad Reza Mohammadizadeh Professor of Department of Physics, University of Tehran, IRAN.

DOI:

https://doi.org/10.31033/ijrasb.9.1.21

Keywords:

Energy consumption, Optimization, Attic, Temperature, Comsol multiphysics, Simulation

Abstract

In this paper, the attic space of the building of the Faculty of Physics, University of Tehran has been simulated by Comsol Multiphysics software. Before the energy consumption optimization is applied in it, the building of the Faculty of Physics, University of Tehran has dimensions (80.5 × 17 × 3.2 m) and 50 years have passed since its construction, and so during the summer (July to October), the temperature reaches 50 0C. In these months, energy consumption is higher than in other months of the year. Previously, 18 automatic fans were installed on the roof to lower the attic temperature. But its installation was insignificant in reducing the temperature difference between the attic and the outside space. Now to reduce the temperature, can use a gentle airflow (fan). Before to install the fan on both sides of the gable, it was simulated by Comsol Multiphysics. The simulation of six hypothetical fans is considered reducing the temperature. After calculation by this software, the use of installing six fans at both ends of the attic shows a reduction of 10 degrees, which can be said to save energy.

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Published

2022-01-31

How to Cite

Enayat, W. ., Kashmiri, S. ., & Mohammadizadeh, M. R. . (2022). Calculation of Energy Consumption Optimization Using by Software Simulation of Comsol Multiphysics (Case Study; Faculty of Physics, University of Tehran). International Journal for Research in Applied Sciences and Biotechnology, 9(1), 174–182. https://doi.org/10.31033/ijrasb.9.1.21