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An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method

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  • Koo, Choongwan
  • Park, Sungki
  • Hong, Taehoon
  • Park, Hyo Seon

Abstract

Building envelope design is considered one of the typical energy-saving techniques. Building envelope serves as the physical separator between building’s interior and exterior environment so as to maintain indoor thermal comfort. To achieve building sustainability, this research aims to develop an estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method. This research was conducted in three steps: (i) selection of building envelope design elements affecting the heating and cooling demand of a multi-family housing unit; (ii) establishment of a standard database for the heating and cooling demand by building envelope design through energy simulation; and (iii) implementation of the finite element method for estimating the heating and cooling demand by building envelope design. The proposed model was validated compared to the simulation results and the actual data. Regarding the comparison with the simulation results, the average error rate for the heating and cooling demand was determined to be 1.09% and 6.61%, respectively. Also, regarding the comparison with the actual data, the average error rate for the heating and cooling consumption was determined to be 4.95% and 5.77%, respectively. The proposed model could allow an architect or a construction manager to easily and accurately estimate the heating and cooling demand of a residential building with a different envelope design in the early design phase. It could also be useful for contractors in a competitive bidding process to analyze the alternatives.

Suggested Citation

  • Koo, Choongwan & Park, Sungki & Hong, Taehoon & Park, Hyo Seon, 2014. "An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method," Applied Energy, Elsevier, vol. 115(C), pages 205-215.
    • Handle: RePEc:eee:appene:v:115:y:2014:i:c:p:205-215
    DOI: 10.1016/j.apenergy.2013.11.014
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    References listed on IDEAS

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    1. Ouyang, Jinlong & Ge, Jian & Hokao, Kazunori, 2009. "Economic analysis of energy-saving renovation measures for urban existing residential buildings in China based on thermal simulation and site investigation," Energy Policy, Elsevier, vol. 37(1), pages 140-149, January.
    2. Wan, K. S. Y. & Yik, F. W. H., 2004. "Building design and energy end-use characteristics of high-rise residential buildings in Hong Kong," Applied Energy, Elsevier, vol. 78(1), pages 19-36, May.
    3. Chan, A.L.S., 2012. "Effect of adjacent shading on the thermal performance of residential buildings in a subtropical region," Applied Energy, Elsevier, vol. 92(C), pages 516-522.
    4. Dongjun Suh & Seongju Chang, 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea," Energies, MDPI, vol. 5(11), pages 1-20, November.
    5. Mourshed, Monjur, 2011. "The impact of the projected changes in temperature on heating and cooling requirements in buildings in Dhaka, Bangladesh," Applied Energy, Elsevier, vol. 88(11), pages 3737-3746.
    6. Chi-Ming Lai & Yao-Hong Wang, 2011. "Energy-Saving Potential of Building Envelope Designs in Residential Houses in Taiwan," Energies, MDPI, vol. 4(11), pages 1-16, November.
    7. Chow, W. K. & Chan, K. T., 1995. "Parameterization study of the overall thermal-transfer value equation for buildings," Applied Energy, Elsevier, vol. 50(3), pages 247-268.
    8. Huang, Yu & Niu, Jian-lei & Chung, Tse-ming, 2013. "Study on performance of energy-efficient retrofitting measures on commercial building external walls in cooling-dominant cities," Applied Energy, Elsevier, vol. 103(C), pages 97-108.
    9. Gustafsson, S.I. & Bojic, M., 1997. "Optimal heating-system retrofits in residential buildings," Energy, Elsevier, vol. 22(9), pages 867-874.
    10. Lam, Joseph C. & Tsang, C.L. & Li, Danny H.W. & Cheung, S.O., 2005. "Residential building envelope heat gain and cooling energy requirements," Energy, Elsevier, vol. 30(7), pages 933-951.
    11. Chow, W.K. & Chan, K.T., 1992. "Overall thermal transfer values for building envelopes in Hong Kong," Applied Energy, Elsevier, vol. 42(4), pages 289-312.
    12. Udomsri, Seksan & Bales, Chris & Martin, Andrew R. & Martin, Viktoria, 2012. "Decentralized cooling in district heating network: System simulation and parametric study," Applied Energy, Elsevier, vol. 92(C), pages 175-184.
    13. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Xutao & Zhang, Chunfa, 2011. "Sensitivity analysis of optimal model on building cooling heating and power system," Applied Energy, Elsevier, vol. 88(12), pages 5143-5152.
    14. Lee, J.W. & Jung, H.J. & Park, J.Y. & Lee, J.B. & Yoon, Y., 2013. "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements," Renewable Energy, Elsevier, vol. 50(C), pages 522-531.
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