Parametric Analysis of Building Elements on Building Energy Use

Authors

  • Atefeh Mohammadpour Department of Architectural Engineering, The Pennsylvania State University, 104 Engineering Unit A, University Park, PA 16802
  • Mohammad Mottahedi bDepartment of Mechanical Engineering, University of Texas at San Antonio
  • Shideh Shams Amiri Department of Architectural Engineering, The Pennsylvania State University, 104 Engineering Unit A, University Park, PA 16802
  • Somayeh Asadi Department of Architectural Engineering, The Pennsylvania State University, 104 Engineering Unit A, University Park, PA 16802
  • David Riley Department of Architectural Engineering, The Pennsylvania State University, 104 Engineering Unit A, University Park, PA 16802
  • Arezou Shafaghat Construction Research Centre, Institute of Smart Infrastructure and Innovative Construction (ISIIC), Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v74.4613

Keywords:

Building energy modeling, parametric design analysis, building shape

Abstract

Building energy modeling is essential to estimate energy consumption of buildings. Predicting building energy consumption benefits the owners, designers, and facility managers by enabling them to have an overview of building energy consumption and can help them to determine building energy performance during the design phase. This paper focuses on two different shapes of commercial building, H and rectangle to estimate energy consumption in buildings in three different climate zones, cold, hot-humid, and mixed-humid. To address this, DOE-2 building simulation software was used to build and simulate individual commercial building configurations that were generated using Monte Carlo simulation techniques. Ten thousand simulations for each building shape and climate zone were conducted to develop a comprehensive dataset covering the full range of design parameters. 

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Published

2015-05-25

How to Cite

Parametric Analysis of Building Elements on Building Energy Use. (2015). Jurnal Teknologi, 74(4). https://doi.org/10.11113/jt.v74.4613