American Journal of Civil Engineering

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Energy Saving Assessment for Building Envelope of Supermarket Based on EnergyPlus and Openstudio

Received: 25 February 2017    Accepted: 18 March 2017    Published: 28 March 2017
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Abstract

In this paper, a supermarket model located in Kathmandu is established by simulation software EnergyPlus. As one possible approach to improving the energy performance of the commercial building, this study develops an whole building energy simulation model to investigate the influence of two types of alternative walls – a insulated wall, a brick wall with 50 mm air gap and 4 inch additional brick wall on the energy performance of Bhatbhateni department store building at Krishna Galli, Lalitpur, Nepal. Single and double glazed glasses with varies thermal properties has been analyzed. This study finds that the 1 inch insulated external walls significantly improve the performance compared to the non-insulated wall. It is also found that the double glazed glass window models Envision and Reflectasol reduces the largest amount of energy. The results of this study can be used as basis data for estimating the potential energy saving with the replacement of alternative envelope (wall and window) under similar climate and orientation of the buildings.

DOI 10.11648/j.ajce.20170503.13
Published in American Journal of Civil Engineering (Volume 5, Issue 3, May 2017)
Page(s) 141-147
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Building Envelope, Heat Balance Equation, EnergyPlus, Openstudio, Energy Saving, Simulation, Model Calibration

References
[1] Bodach, S., Lang, W. & Auer, T. 2006, Design guidelines for energy-efficient hotels in Nepal. International Journal of Sustainable Built Environment, pp 411-434.
[2] Department of Hydrology and Meteorology Nepal (DHMN), 2012. Meteorological data of selected weather stations between 1969–2010.
[3] Energy Star, 2017. https://www. energystar. gov.
[4] Hoes, P. J., Jan, H., Loomans, M. & Vries, B. D., 2009. User behavior in whole building simulation. Energy and Buildings, pp. 295-302.
[5] Holmes, M. & Hacker, J. N., 2007. Climate change, thermal comfort and energy: Meeting the design challenges of the 21st century. Energy and Buildings, Volume 39, pp. 802-814.
[6] Indian Green Building Council, 2011. Green Building Rating System. pp. xi.
[7] Loonen, R., Favoino, F, Hensen L. M & Overend, M. 2017. Review of current status, requirements and opportunities for building performance simulation of adaptive facades, Journal of Building Performance Simulation, pp 205-223.
[8] Meteotest, 2014. Meteonorm Software. URL .
[9] Ministry of Water Resources, Nepal, 2001. The Hydropower Development Policy.
[10] Nepal Electricity Authority (NEA), 2015, Annual Report of Nepal Electricity Authority.
[11] Niall, D., Mcrormack,S. Griffiths,P. Cabeza, L. Navarro, L. 2015, Thermal Energy Storage in Building Integrated Thermal Systems: A. Review. Part 2. Integration as Passive System, Journal of Renewable Energy, vol. 85, pp. 1334-1356.
[12] Perino, M. & Serra, V., 2015. Switching from static to adaptable and dynamic building envelopes: a paradigm shift for the energy efficiency in buildings. Journal of Facade Design and Engineering, Volume 3, pp. 143-163.
[13] Roberti, F., Ulrich, F. O. & Gasparella, A., 2015. Calibrating historic building energy models to hourly indoor air andsurface temperatures: Methodology and case study. Energy and Buildings, Volume 108, pp. 236-243.
[14] Sthapit, M., 2008. Evaluation of Thermal Performance and Application of Passive Techniques to Enhance the Thermal Comfort in the Buildings.. Master Degree Thesis.
[15] Sun, Y., 2014. Closing the building energy gap by improving our predictions, Thesis, Georgia Institute of Technology.
[16] WECS (2010). Energy Sector Synopsis Report 2010. Water and Energy Commission Secretariat, Kathmandu, Nepal.
[17] Wilde, P. D., 2014. The gap between predicted and measured energy performance of buildings: A. framework for investigation. Automation in Construction, pp. 40-49.
[18] Zhu, L., R, Hurt, Correia, D. & Robert,. F, 2009. Detailed energy saving performance analyses on thermal mass walls demonstrated in a zero energy house.. Energy and Buildings, Volume 41, pp. 303-310.
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  • APA Style

    Deependra P. Yadav, Sushil B. Bajracharya, Sudip Bhattrai. (2017). Energy Saving Assessment for Building Envelope of Supermarket Based on EnergyPlus and Openstudio. American Journal of Civil Engineering, 5(3), 141-147. https://doi.org/10.11648/j.ajce.20170503.13

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    ACS Style

    Deependra P. Yadav; Sushil B. Bajracharya; Sudip Bhattrai. Energy Saving Assessment for Building Envelope of Supermarket Based on EnergyPlus and Openstudio. Am. J. Civ. Eng. 2017, 5(3), 141-147. doi: 10.11648/j.ajce.20170503.13

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    AMA Style

    Deependra P. Yadav, Sushil B. Bajracharya, Sudip Bhattrai. Energy Saving Assessment for Building Envelope of Supermarket Based on EnergyPlus and Openstudio. Am J Civ Eng. 2017;5(3):141-147. doi: 10.11648/j.ajce.20170503.13

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  • @article{10.11648/j.ajce.20170503.13,
      author = {Deependra P. Yadav and Sushil B. Bajracharya and Sudip Bhattrai},
      title = {Energy Saving Assessment for Building Envelope of Supermarket Based on EnergyPlus and Openstudio},
      journal = {American Journal of Civil Engineering},
      volume = {5},
      number = {3},
      pages = {141-147},
      doi = {10.11648/j.ajce.20170503.13},
      url = {https://doi.org/10.11648/j.ajce.20170503.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20170503.13},
      abstract = {In this paper, a supermarket model located in Kathmandu is established by simulation software EnergyPlus. As one possible approach to improving the energy performance of the commercial building, this study develops an whole building energy simulation model to investigate the influence of two types of alternative walls – a insulated wall, a brick wall with 50 mm air gap and 4 inch additional brick wall on the energy performance of Bhatbhateni department store building at Krishna Galli, Lalitpur, Nepal. Single and double glazed glasses with varies thermal properties has been analyzed. This study finds that the 1 inch insulated external walls significantly improve the performance compared to the non-insulated wall. It is also found that the double glazed glass window models Envision and Reflectasol reduces the largest amount of energy. The results of this study can be used as basis data for estimating the potential energy saving with the replacement of alternative envelope (wall and window) under similar climate and orientation of the buildings.},
     year = {2017}
    }
    

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    AU  - Deependra P. Yadav
    AU  - Sushil B. Bajracharya
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    Y1  - 2017/03/28
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    DO  - 10.11648/j.ajce.20170503.13
    T2  - American Journal of Civil Engineering
    JF  - American Journal of Civil Engineering
    JO  - American Journal of Civil Engineering
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    EP  - 147
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ajce.20170503.13
    AB  - In this paper, a supermarket model located in Kathmandu is established by simulation software EnergyPlus. As one possible approach to improving the energy performance of the commercial building, this study develops an whole building energy simulation model to investigate the influence of two types of alternative walls – a insulated wall, a brick wall with 50 mm air gap and 4 inch additional brick wall on the energy performance of Bhatbhateni department store building at Krishna Galli, Lalitpur, Nepal. Single and double glazed glasses with varies thermal properties has been analyzed. This study finds that the 1 inch insulated external walls significantly improve the performance compared to the non-insulated wall. It is also found that the double glazed glass window models Envision and Reflectasol reduces the largest amount of energy. The results of this study can be used as basis data for estimating the potential energy saving with the replacement of alternative envelope (wall and window) under similar climate and orientation of the buildings.
    VL  - 5
    IS  - 3
    ER  - 

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Author Information
  • Department of Mechanical Engineering, Tribhuvan University, Lalitpur, Nepal

  • Department of Architecture, Tribhuvan University, Lalitpur, Nepal

  • Department of Mechanical Engineering, Tribhuvan University, Lalitpur, Nepal

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