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Fast Modelling of nZEB Metrics of Office Buildings Built with Advanced Glass and BIPV Facade Structures

Author

Listed:
  • Suzana Domjan

    (Laboratory for Sustainable Technologies in Buildings, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia)

  • Sašo Medved

    (Laboratory for Sustainable Technologies in Buildings, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia)

  • Boštjan Černe

    (Trimo d.o.o., Prijateljeva cesta 12, 8210 Trebnje, Slovenia)

  • Ciril Arkar

    (Laboratory for Sustainable Technologies in Buildings, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia)

Abstract

The planning process of nearly Zero Energy Buildings (nZEB), as defined in Energy Performance of Buildings Directive (EPBD), requires that designers check their solutions at all stages of planning. In the initial design phase, methods and tools for which only basic design knowledge of the modelling of energy efficiency indicators is required are often sufficient. With the introduction of fast modelling techniques, designers’ work can be simplified. A method and software for the fast modelling of nZEB energy efficiency indicators of buildings constructed with advanced multi-layer glass and building integrated photovoltaics facade (BIPV) structures are presented. The computer tool for fast modelling combines (i) upgraded national certificated software for energy performance of buildings (EPB) evaluation, which is used for performing auto-repeating numerical calculations based on the design of experiments (DOE) and (ii) software for the determination of multiple linear regression models and the presentation of results. The case studies made for different buildings and climate conditions show the variety of options offered by the developed fast modelling approach. It can be seen that buildings with a large proportion of advanced glassed facade and even all-glass buildings can fulfil nZEB requirements via the on-site production of electricity with BIPV facade structures.

Suggested Citation

  • Suzana Domjan & Sašo Medved & Boštjan Černe & Ciril Arkar, 2019. "Fast Modelling of nZEB Metrics of Office Buildings Built with Advanced Glass and BIPV Facade Structures," Energies, MDPI, vol. 12(16), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3194-:d:259289
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    References listed on IDEAS

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    1. Enrico Fabrizio & Valentina Monetti, 2015. "Methodologies and Advancements in the Calibration of Building Energy Models," Energies, MDPI, vol. 8(4), pages 1-27, March.
    2. Sarwar, Riasat & Cho, Heejin & Cox, Sam J. & Mago, Pedro J. & Luck, Rogelio, 2017. "Field validation study of a time and temperature indexed autoregressive with exogenous (ARX) model for building thermal load prediction," Energy, Elsevier, vol. 119(C), pages 483-496.
    3. Germán Ramos Ruiz & Carlos Fernández Bandera, 2017. "Validation of Calibrated Energy Models: Common Errors," Energies, MDPI, vol. 10(10), pages 1-19, October.
    4. Kamel, Ehsan & Memari, Ali M., 2018. "Automated Building Energy Modeling and Assessment Tool (ABEMAT)," Energy, Elsevier, vol. 147(C), pages 15-24.
    5. Cerón, Isabel & Caamaño-Martín, E. & Neila, F. Javier, 2013. "‘State-of-the-art’ of building integrated photovoltaic products," Renewable Energy, Elsevier, vol. 58(C), pages 127-133.
    6. Tronchin, Lamberto & Manfren, Massimiliano & James, Patrick AB., 2018. "Linking design and operation performance analysis through model calibration: Parametric assessment on a Passive House building," Energy, Elsevier, vol. 165(PA), pages 26-40.
    7. Skandalos, Nikolaos & Karamanis, Dimitris, 2015. "PV glazing technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 306-322.
    8. Košir, Mitja & Iglič, Nataša & Kunič, Roman, 2018. "Optimisation of heating, cooling and lighting energy performance of modular buildings in respect to location’s climatic specifics," Renewable Energy, Elsevier, vol. 129(PA), pages 527-539.
    9. Yildiz, B. & Bilbao, J.I. & Sproul, A.B., 2017. "A review and analysis of regression and machine learning models on commercial building electricity load forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1104-1122.
    10. Premrov, Miroslav & Žigart, Maja & Žegarac Leskovar, Vesna, 2018. "Influence of the building shape on the energy performance of timber-glass buildings located in warm climatic regions," Energy, Elsevier, vol. 149(C), pages 496-504.
    11. Antonio Attanasio & Marco Savino Piscitelli & Silvia Chiusano & Alfonso Capozzoli & Tania Cerquitelli, 2019. "Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates," Energies, MDPI, vol. 12(7), pages 1-25, April.
    12. Yaolin Lin & Shiquan Zhou & Wei Yang & Long Shi & Chun-Qing Li, 2018. "Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches," Energies, MDPI, vol. 11(6), pages 1-14, June.
    13. Wang, Meng & Peng, Jinqing & Li, Nianping & Yang, Hongxing & Wang, Chunlei & Li, Xue & Lu, Tao, 2017. "Comparison of energy performance between PV double skin facades and PV insulating glass units," Applied Energy, Elsevier, vol. 194(C), pages 148-160.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Arkar, C. & Žižak, T. & Domjan, S. & Medved, S., 2020. "Dynamic parametric models for the holistic evaluation of semi-transparent photovoltaic/thermal façade with latent storage inserts," Applied Energy, Elsevier, vol. 280(C).
    2. Suzana Domjan & Lenart Petek & Ciril Arkar & Sašo Medved, 2020. "Experimental Study on Energy Efficiency of Multi-Functional BIPV Glazed Façade Structure during Heating Season," Energies, MDPI, vol. 13(11), pages 1-19, June.
    3. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    4. Wu, Zhenghong & Zhang, Ling & Wu, Jing & Liu, Zhongbing, 2022. "Experimental and numerical study on the annual performance of semi-transparent photovoltaic glazing in different climate zones," Energy, Elsevier, vol. 240(C).

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