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Empirical BAC factors method application to two real case studies in South Italy

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  • Bonomolo, Marina
  • Zizzo, Gaetano
  • Ferrari, Simone
  • Beccali, Marco
  • Guarino, Stefania

Abstract

The application of Building Automation and Control (BAC) systems has many advantages. One of these is the reduction of the end-user electricity consumption and, if applied to lighting systems, the achievement of well-acknowledged benefits from daylight, such as productivity, health, visual comfort and well-being. Concerning the first aspect, the international Standard EN 15232 proposes the so-called BAC Factors (BF) method to assess the impact of BAC systems on the final energy consumption. The method provides a simplified estimation of the energy savings due to automation in buildings and questions arise on its applicability in some situations. For this reason, the authors have carried out an experimental study aiming at comparing the energy savings calculated using the simplified BAC factor method with those evaluated with a measurement campaign on a laboratory setup. In particular, the BF are evaluated for an office and a residential environment, using sets of data measured in two cases study in South Italy by testing two lighting control systems in different end-uses (residential and office). The comparison between the sets of data shows the limits of the simplified BAC factor method.

Suggested Citation

  • Bonomolo, Marina & Zizzo, Gaetano & Ferrari, Simone & Beccali, Marco & Guarino, Stefania, 2021. "Empirical BAC factors method application to two real case studies in South Italy," Energy, Elsevier, vol. 236(C).
  • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017461
    DOI: 10.1016/j.energy.2021.121498
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    1. Yu, Xu & Su, Yuehong, 2015. "Daylight availability assessment and its potential energy saving estimation –A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 494-503.
    2. Xuan, Qingdong & Li, Guiqiang & Lu, Yashun & Zhao, Bin & Wang, Fuqiang & Pei, Gang, 2021. "Daylighting utilization and uniformity comparison for a concentrator-photovoltaic window in energy saving application on the building," Energy, Elsevier, vol. 214(C).
    3. Fabbri, Kristian & Marinosci, Cosimo, 2018. "EPBD independent control system for energy performance certification: The Emilia-Romagna Region (Italy) pioneering experience," Energy, Elsevier, vol. 165(PB), pages 563-576.
    4. Tushar, Wayes & Lan, Lan & Withanage, Chathura & Sng, Hui En Karen & Yuen, Chau & Wood, Kristin L. & Saha, Tapan Kumar, 2020. "Exploiting design thinking to improve energy efficiency of buildings," Energy, Elsevier, vol. 197(C).
    5. López-González, Luis M. & López-Ochoa, Luis M. & Las-Heras-Casas, Jesús & García-Lozano, César, 2016. "Update of energy performance certificates in the residential sector and scenarios that consider the impact of automation, control and management systems: A case study of La Rioja," Applied Energy, Elsevier, vol. 178(C), pages 308-322.
    6. Aste, Niccolò & Manfren, Massimiliano & Marenzi, Giorgia, 2017. "Building Automation and Control Systems and performance optimization: A framework for analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 313-330.
    7. Ikuzwe, Alice & Ye, Xianming & Xia, Xiaohua, 2020. "Energy-maintenance optimization for retrofitted lighting system incorporating luminous flux degradation to enhance visual comfort," Applied Energy, Elsevier, vol. 261(C).
    8. Cauchi, Nathalie & Macek, Karel & Abate, Alessandro, 2017. "Model-based predictive maintenance in building automation systems with user discomfort," Energy, Elsevier, vol. 138(C), pages 306-315.
    9. Kunwar, Niraj & Cetin, Kristen S. & Passe, Ulrike & Zhou, Xiaohui & Li, Yunhua, 2020. "Energy savings and daylighting evaluation of dynamic venetian blinds and lighting through full-scale experimental testing," Energy, Elsevier, vol. 197(C).
    10. Beccali, M. & Bonomolo, M. & Ciulla, G. & Lo Brano, V., 2018. "Assessment of indoor illuminance and study on best photosensors' position for design and commissioning of Daylight Linked Control systems. A new method based on artificial neural networks," Energy, Elsevier, vol. 154(C), pages 466-476.
    11. Dadashi-Rad, Mohammad Hosein & Ghasemi-Marzbali, Ali & Ahangar, Roya Ahmadi, 2020. "Modeling and planning of smart buildings energy in power system considering demand response," Energy, Elsevier, vol. 213(C).
    12. Beccali, Marco & Bellia, Laura & Fragliasso, Francesca & Bonomolo, Marina & Zizzo, Gaetano & Spada, Gennaro, 2020. "Assessing the lighting systems flexibility for reducing and managing the power peaks in smart grids," Applied Energy, Elsevier, vol. 268(C).
    13. Sun, Yanyi & Liu, Xin & Ming, Yang & Liu, Xiao & Mahon, Daniel & Wilson, Robin & Liu, Hao & Eames, Philip & Wu, Yupeng, 2021. "Energy and daylight performance of a smart window: Window integrated with thermotropic parallel slat-transparent insulation material," Applied Energy, Elsevier, vol. 293(C).
    14. Galatioto, A. & Beccali, M., 2016. "Aspects and issues of daylighting assessment: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 852-860.
    Full references (including those not matched with items on IDEAS)

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    2. Van Thillo, L. & Verbeke, S. & Audenaert, A., 2022. "The potential of building automation and control systems to lower the energy demand in residential buildings: A review of their performance and influencing parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

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