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Multi-criterion optimization of building envelope in the function of indoor illumination quality towards overall energy performance improvement

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  • Harmathy, Norbert
  • Magyar, Zoltán
  • Folić, Radomir

Abstract

This paper elaborates the formulation and application of an integral methodology for overall energy performance improvement of office buildings and demonstrates its application. The developed multi-objective methodology is demonstrated on a reference office building located in a temperate climate zone with high annual temperature variations. The idea is to formulate a research based proposition in building science with a formulation of a general/integral methodology which could be applied widely in energy performance refurbishment of existing office buildings and help architects and engineers in the early-design stages of new projects. The goal was to formulate an optimized building envelope model using multi-criterion optimization methodology in order to determine efficient window to wall ratio (WWR) and window geometry (WG) in the function of indoor illumination quality, followed by the assessment of glazing parameters influence on the annual energy demand. The integral methodology for overall energy performance improvement of office buildings utilizes multi-criterion optimization method and highly detailed Building Information Modeling (BIM) programs and dynamic energy simulation engines. The developed coupled-integral methodology links together both building envelope construction optimization and user comfort. The methodology is both flexible and adaptable for application in various climatic conditions and for different construction types.

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  • Harmathy, Norbert & Magyar, Zoltán & Folić, Radomir, 2016. "Multi-criterion optimization of building envelope in the function of indoor illumination quality towards overall energy performance improvement," Energy, Elsevier, vol. 114(C), pages 302-317.
    • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:302-317
    DOI: 10.1016/j.energy.2016.07.162
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    References listed on IDEAS

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    1. Méndez Echenagucia, Tomás & Capozzoli, Alfonso & Cascone, Ylenia & Sassone, Mario, 2015. "The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis," Applied Energy, Elsevier, vol. 154(C), pages 577-591.
    2. Goia, Francesco & Haase, Matthias & Perino, Marco, 2013. "Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective," Applied Energy, Elsevier, vol. 108(C), pages 515-527.
    3. Nagy, Zoltán & Rossi, Dino & Hersberger, Christian & Irigoyen, Silvia Domingo & Miller, Clayton & Schlueter, Arno, 2014. "Balancing envelope and heating system parameters for zero emissions retrofit using building sensor data," Applied Energy, Elsevier, vol. 131(C), pages 56-66.
    4. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    5. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude," Applied Energy, Elsevier, vol. 146(C), pages 84-91.
    6. Capeluto, I. Guedi & Ochoa, Carlos E., 2014. "Simulation-based method to determine climatic energy strategies of an adaptable building retrofit façade system," Energy, Elsevier, vol. 76(C), pages 375-384.
    7. Evins, Ralph, 2015. "Multi-level optimization of building design, energy system sizing and operation," Energy, Elsevier, vol. 90(P2), pages 1775-1789.
    8. Yang, Zheng & Becerik-Gerber, Burcin, 2015. "A model calibration framework for simultaneous multi-level building energy simulation," Applied Energy, Elsevier, vol. 149(C), pages 415-431.
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