Impact of insulation and building management systems on reducing energy consumption and Energy analysis of residential buildings

Document Type : Original Article

Authors

1 New Technologies in Civil and Architectural Engineering, Tarbiat Modares University, Tehran, Iran

2 Department of Civil Engineering ,Tarbiat Modares University , Tehran ,Iran

3 Department of Engineering and Construction Management, Faculty of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

4 Associate Professor, Department of Civil Engineering, Iran University of Science and Technology

Abstract

Increasing energy consumption in the world raises concerns about future energy supplies. In addition, reducing energy consumption will reduce greenhouse gas emissions, such as CO2. Given that residential buildings have a significant share in energy consumption, reducing energy consumption in these buildings through the Building Management System (BMS) and insulation of their Exterior walls can have a significant impact on reducing energy consumption.
In order to evaluate the impact of these factors on reducing the energy consumption of residential buildings, using Building Information Modeling process (BIM) with the help of BIM software is the method used in the present study. Using building information modeling process, after the modeling of the desired properties, the thermal analysis of the building has been done and by changing the parameters, the effect of each one on the energy consumption is investigated.
The main objectives of this research is to investigate the effect of the use of thermal insulating materials and building management system on reducing energy consumption, comparing all types of thermal insulating materials in terms of type and thickness, comparing insulation and building management systems in terms of reducing energy consumption and finding optimal energy-saving model between different building models that have different conditions. Comparison in this study has been done between different building models and the actual base model. Finally, by doing the stated studies, the model with BMS system with 34.61% reduction in energy consumption compared to the base model has the most effect on reducing energy consumption.

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References

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History

  • Receive Date: 03 February 2018
  • Revise Date: 16 July 2018
  • Accept Date: 17 August 2018

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