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A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind

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  • Park, Hyo Seon
  • Koo, Choongwan
  • Hong, Taehoon
  • Oh, Jeongyoon
  • Jeong, Kwangbok

Abstract

This study aims to develop the four-node-based finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind (FEM4-nodeBIPB), which can be used by decision-maker in the early design phase. In developing the proposed model, this study uses various research methodologies such as energy simulation, finite element method, life cycle cost analysis, policy analysis, and visual basic application. Compared to the simulation results, the mean absolute percentage error of the proposed model was determined to be 4.54%, showing that the prediction accuracy of the proposed model was found to be excellent. Furthermore, the practical application was conducted for the ‘S’ elementary school facility in South Korea, which allows potential readers to easily and clearly understand the operating mechanism of the proposed model as well as its usability and extendability. The proposed model can be used to conduct the detailed analysis of the techno-economic performance of the BIPB by the type of utilization plan and to determine the optimal strategy for maximizing the value of the investment. Furthermore, the proposed research framework can be extended to any other technology, industry, and country in the global environment.

Suggested Citation

  • Park, Hyo Seon & Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Jeong, Kwangbok, 2016. "A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind," Applied Energy, Elsevier, vol. 179(C), pages 211-227.
    • Handle: RePEc:eee:appene:v:179:y:2016:i:c:p:211-227
    DOI: 10.1016/j.apenergy.2016.06.137
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    References listed on IDEAS

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    9. 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.
    10. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
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    12. Hong, Taehoon & Koo, Choongwan & Lee, Sungug, 2014. "Benchmarks as a tool for free allocation through comparison with similar projects: Focused on multi-family housing complex," Applied Energy, Elsevier, vol. 114(C), pages 663-675.
    13. Hong, Taehoon & Koo, Choongwan & Park, Joonho & Park, Hyo Seon, 2014. "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system," Energy, Elsevier, vol. 65(C), pages 190-199.
    14. Celik, Berk & Karatepe, Engin & Silvestre, Santiago & Gokmen, Nuri & Chouder, Aissa, 2015. "Analysis of spatial fixed PV arrays configurations to maximize energy harvesting in BIPV applications," Renewable Energy, Elsevier, vol. 75(C), pages 534-540.
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    2. Oh, Jeongyoon & Koo, Choongwan & Hong, Taehoon & Jeong, Kwangbok & Lee, Minhyun, 2017. "An economic impact analysis of residential progressive electricity tariffs in implementing the building-integrated photovoltaic blind using an advanced finite element model," Applied Energy, Elsevier, vol. 202(C), pages 259-274.
    3. Luo, Yongqiang & Zhang, Ling & Wu, Jing & Wang, Xiliang & Liu, Zhongbing & Wu, Zhenghong, 2017. "Modeling of solar transmission through multilayer glazing facade using shading blinds with arbitrary geometrical and surface optical properties," Energy, Elsevier, vol. 128(C), pages 163-182.
    4. Gao, Yuan & Dong, Jianfei & Isabella, Olindo & Santbergen, Rudi & Tan, Hairen & Zeman, Miro & Zhang, Guoqi, 2018. "A photovoltaic window with sun-tracking shading elements towards maximum power generation and non-glare daylighting," Applied Energy, Elsevier, vol. 228(C), pages 1454-1472.
    5. Yu, Guoqing & Yang, Hongxing & Luo, Daina & Cheng, Xu & Ansah, Mark Kyeredey, 2021. "A review on developments and researches of building integrated photovoltaic (BIPV) windows and shading blinds," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    6. Jeongyoon Oh & Taehoon Hong & Hakpyeong Kim & Jongbaek An & Kwangbok Jeong & Choongwan Koo, 2017. "Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle," Sustainability, MDPI, vol. 9(12), pages 1-52, December.
    7. Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Choi, Jun-Ki, 2018. "Improving the prediction performance of the finite element model for estimating the technical performance of the distributed generation of solar power system in a building façade," Applied Energy, Elsevier, vol. 215(C), pages 41-53.
    8. Oh, Jeongyoon & Koo, Choongwan & Hong, Taehoon & Cha, Seung Hyun, 2018. "An integrated model for estimating the techno-economic performance of the distributed solar generation system on building façades: Focused on energy demand and supply," Applied Energy, Elsevier, vol. 228(C), pages 1071-1090.
    9. Paolo Corti & Pierluigi Bonomo & Francesco Frontini, 2023. "Paper Review of External Integrated Systems as Photovoltaic Shading Devices," Energies, MDPI, vol. 16(14), pages 1-21, July.
    10. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Su, Xiaosong & Lian, Jinbu & Luo, Yongwei, 2018. "Coupled thermal-electrical-optical analysis of a photovoltaic-blind integrated glazing façade," Applied Energy, Elsevier, vol. 228(C), pages 1870-1886.
    11. Li, Changsheng & Wang, Haiyu & Miao, Hong & Ye, Bin, 2017. "The economic and social performance of integrated photovoltaic and agricultural greenhouses systems: Case study in China," Applied Energy, Elsevier, vol. 190(C), pages 204-212.

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