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. 

References

EIA (Energy Information Administration). 2013. (Accessed Dec 2014)

http://www.eia.gov/consumption/commercial.

Asadi, S., Amiri, S. S., & Mottahedi, M. 2014. On the Development Of Multi-linear Regression Analysis to Assess Energy Consumption in the Early Stages of Building Design. Energy and Buildings. 85: 246–255.

Keyvanfar, A., Shafaghat, A., Majid, M. Z. A., Lamit, H. B., Hussin, M. W., Ali, K. N. B., & Saad, A. D. 2014. User Satisfaction Adaptive Behaviors for Assessing Energy Efficient Building Indoor Cooling and Lighting Environment. Renewable and Sustainable Energy Reviews. 39: 277–295.

Majid, M. Z. A., Lamit, H. B., Keyvanfar, A., & Shafaghat, A. 2012. Conceptual Intelligent Building (IB) Design Framework to Improve the Level of User Comfort Towards Sustainable Energy Efficient Strategies: Proposal Validation. OIDA International Journal of Sustainable Development. 4(01): 11–18.

Keyvanfar, A., Shafaghat, A., Majid, M.Z.A., Lamit, H., Ali, Kh..N, 2014. Correlation Study on User Satisfaction from Adaptive Behavior and Energy Consumption in Office Buildings. Jurnal Teknologi (Sciences & Engineering). 70(7): 89–97, www.jurnalteknologi.utm.my | eISSN 2180–3722.

Augenbroe, G. 2002. Trends in Building Simulation. Building and Environment. 37(8): 891–902.

Crawley, D. B., Hand, J. W., Kummert, M., & Griffith, B. T. 2008. Contrasting the Capabilities of Building Energy Performance Simulation Programs. Building and Environment. 43(4): 661–673.

Heidarinejad, M., Dahlhausen, M., McMahon, S., Pyke, C., & Srebric, J. 2014. Cluster Analysis of Simulated Energy Use for LEED Certified US Office Buildings. Energy and Buildings. 85: 86–97.

Shafaghat, A., Keyvanfar, A., Lamit, H., Mousavi, A., Majid, M.Z. A. 2014. Open Plan Office Design Features Affecting Staff’s Health and Well-being Status. Jurnal Teknologi (Sciences & Engineering). 70(7): 83–8, www.jurnalteknologi.utm.my | eISSN 2180–3722.

Sattari, S., & Farhanieh, B. 2006. A Parametric Study on Radiant Floor Heating System Performance. Renewable Energy. 31(10): 1617–1626.

Theodosiou, T. G. 2003. Summer Period Analysis of the Performance of a Planted Roof as a Passive Cooling Technique. Energy and Buildings. 35(9): 909–917.

Aste, N., Angelotti, A., & Buzzetti, M. 2009. The Influence of the External Walls Thermal Inertia on the Energy Performance of Well Insulated Buildings. Energy and Buildings. 41(11): 1181–1187.

Kumar, R., & Kaushik, S. C. 2005. Performance Evaluation of Green Roof and Shading for Thermal Protection of Buildings. Building and Environment. 40(11): 1505–1511.

USGBC (U.S. Green Building Council). 2014. (Accessed Dec 2014)

http://www.usgbc.org/credits/reqea1o6-3.

Majid, M. Z. A., Zakaria, W. Z., Lamit, H., Keyvanfar, A., Shafaghat, A. Bakti, E. S. 2012. Construction Information Systems For Executive Management In Monitoring Work Progress. Journal of Advanced Science Letter. 15: 169–171.

ASHRAE, ANSI, ASHRAE 90.1-2007. 2007. American Society of Heating, Refrigeration, and Air-Conditioning Engineers, Atlanta, GA.

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Published

2015-05-25

How to Cite

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