IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i4p345-d67746.html
   My bibliography  Save this article

Issues to Be Solved for Energy Simulation of An Existing Office Building

Author

Listed:
  • Ki Uhn Ahn

    (School of Civil, Architectural Engineering and Landscape Architecture, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea)

  • Deuk Woo Kim

    (Convergence Research Planning Division, Korea Institute of Civil Engineering and Building Technology, Daehwa-Dong 283, Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi 411-712, Korea)

  • Young Jin Kim

    (Division of Architecture, Architectural Engineering and Civil Engineering, Sunmoon University, Asan, Chungnam 336-708, Korea)

  • Seong Hwan Yoon

    (Center for Built Environment, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea)

  • Cheol Soo Park

    (School of Civil, Architectural Engineering and Landscape Architecture, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea)

Abstract

With the increasing focus on low energy buildings and the need to develop sustainable built environments, Building Energy Performance Simulation (BEPS) tools have been widely used. However, many issues remain when applying BEPS tools to existing buildings. This paper presents the issues that need to be solved for the application of BEPS tools to an existing office building. The selected building is an office building with 33 stories above ground, six underground levels, and a total floor area of 91,898 m 2 . The issues to be discussed in this paper are as follows: (1) grey data not ready for simulation; (2) subjective assumptions and judgments on energy modeling; (3) stochastic characteristics of building performance and occupants behavior; (4) verification of model fidelity-comparison of aggregated energy; (5) verification of model fidelity-calibration by trial and error; and (6) use of simulation model for real-time energy management. This study investigates the aforementioned issues and explains the factors that should be considered to address these issues when developing a dynamic simulation model for existing buildings.

Suggested Citation

  • Ki Uhn Ahn & Deuk Woo Kim & Young Jin Kim & Seong Hwan Yoon & Cheol Soo Park, 2016. "Issues to Be Solved for Energy Simulation of An Existing Office Building," Sustainability, MDPI, vol. 8(4), pages 1-12, April.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:345-:d:67746
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/4/345/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/4/345/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andrea Zambito & Giovanni Pernigotto & Simon Pezzutto & Andrea Gasparella, 2022. "Parametric Urban-Scale Analysis of Space Cooling Energy Needs and Potential Photovoltaic Integration in Residential Districts in South-West Europe," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    2. Razak Olu-Ajayi & Hafiz Alaka & Christian Egwim & Ketty Grishikashvili, 2024. "Comprehensive Analysis of Influencing Factors on Building Energy Performance and Strategic Insights for Sustainable Development: A Systematic Literature Review," Sustainability, MDPI, vol. 16(12), pages 1-27, June.
    3. Fahad Haneef & Giovanni Pernigotto & Andrea Gasparella & Jérôme Henri Kämpf, 2021. "Application of Urban Scale Energy Modelling and Multi-Objective Optimization Techniques for Building Energy Renovation at District Scale," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    4. Hyo-Jun Kim & Ji-Hyun Shin & Jae Hun Jo & Young-Hum Cho, 2020. "Development of Air Flow Rate Prediction Model Using Multiple Regression in VAV Terminal Unit," Energies, MDPI, vol. 13(10), pages 1-10, May.
    5. Kuo-Liang Lin & Ming-Young Jan & Chien-Sen Liao, 2017. "Energy Consumption Analysis for Concrete Residences—A Baseline Study in Taiwan," Sustainability, MDPI, vol. 9(2), pages 1-13, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Habtamu Tkubet Ebuy & Hind Bril El Haouzi & Riad Benelmir & Remi Pannequin, 2023. "Occupant Behavior Impact on Building Sustainability Performance: A Literature Review," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    2. Anti Hamburg & Targo Kalamees, 2018. "The Influence of Energy Renovation on the Change of Indoor Temperature and Energy Use," Energies, MDPI, vol. 11(11), pages 1-15, November.
    3. Jakob Carlander & Bahram Moshfegh & Jan Akander & Fredrik Karlsson, 2020. "Effects on Energy Demand in an Office Building Considering Location, Orientation, Façade Design and Internal Heat Gains—A Parametric Study," Energies, MDPI, vol. 13(23), pages 1-22, November.
    4. Alencastro, João & Fuertes, Alba & de Wilde, Pieter, 2018. "The relationship between quality defects and the thermal performance of buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 883-894.
    5. Prasanna, Ashreeta & Dorer, Viktor & Vetterli, Nadège, 2017. "Optimisation of a district energy system with a low temperature network," Energy, Elsevier, vol. 137(C), pages 632-648.
    6. Zhong, Shengyuan & Zhao, Jun & Li, Wenjia & Li, Hao & Deng, Shuai & Li, Yang & Hussain, Sajjad & Wang, Xiaoyuan & Zhu, Jiebei, 2021. "Quantitative analysis of information interaction in building energy systems based on mutual information," Energy, Elsevier, vol. 214(C).
    7. Eugene Mohareb & Arman Hashemi & Mehdi Shahrestani & Minna Sunikka-Blank, 2017. "Retrofit Planning for the Performance Gap: Results of a Workshop on Addressing Energy, Health and Comfort Needs in a Protected Building," Energies, MDPI, vol. 10(8), pages 1-17, August.
    8. Pierryves Padey & Kyriaki Goulouti & Guy Wagner & Blaise Périsset & Sébastien Lasvaux, 2021. "Understanding the Reasons behind the Energy Performance Gap of an Energy-Efficient Building, through a Probabilistic Approach and On-Site Measurements," Energies, MDPI, vol. 14(19), pages 1-15, September.
    9. Gupta, Rajat & Kotopouleas, Alkis, 2018. "Magnitude and extent of building fabric thermal performance gap in UK low energy housing," Applied Energy, Elsevier, vol. 222(C), pages 673-686.
    10. Wang, Lan & Lee, Eric W.M. & Hussian, Syed Asad & Yuen, Anthony Chun Yin & Feng, Wei, 2021. "Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods," Applied Energy, Elsevier, vol. 299(C).
    11. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    12. Abdulazeez Rotimi & Ali Bahadori-Jahromi & Anastasia Mylona & Paulina Godfrey & Darren Cook, 2017. "Estimation and Validation of Energy Consumption in UK Existing Hotel Building Using Dynamic Simulation Software," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    13. Li, Xinyi & Yao, Runming & Li, Qin & Ding, Yong & Li, Baizhan, 2018. "An object-oriented energy benchmark for the evaluation of the office building stock," Utilities Policy, Elsevier, vol. 51(C), pages 1-11.
    14. Qadeer Ali & Muhammad Jamaluddin Thaheem & Fahim Ullah & Samad M. E. Sepasgozar, 2020. "The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?," Energies, MDPI, vol. 13(6), pages 1-27, March.
    15. Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
    16. Ji, Changyoon & Hong, Taehoon & Kim, Hakpyeong, 2022. "Statistical analysis of greenhouse gas emissions of South Korean residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    17. Zulay Giménez & Claudio Mourgues & Luis F. Alarcón & Harrison Mesa & Eugenio Pellicer, 2020. "Value Analysis Model to Support the Building Design Process," Sustainability, MDPI, vol. 12(10), pages 1-24, May.
    18. Naylor, Sophie & Gillott, Mark & Lau, Tom, 2018. "A review of occupant-centric building control strategies to reduce building energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 1-10.
    19. Lü, Xiaoshu & Lu, Tao & Kibert, Charles J. & Viljanen, Martti, 2014. "A novel dynamic modeling approach for predicting building energy performance," Applied Energy, Elsevier, vol. 114(C), pages 91-103.
    20. Zhao, Dong-Xue & He, Bao-Jie & Johnson, Christine & Mou, Ben, 2015. "Social problems of green buildings: From the humanistic needs to social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1594-1609.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:345-:d:67746. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.