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The potential of building automation and control systems to lower the energy demand in residential buildings: A review of their performance and influencing parameters

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  • Van Thillo, L.
  • Verbeke, S.
  • Audenaert, A.

Abstract

Well-designed and properly implemented Building Automation and Control Systems (BACS) can contribute to a reduction of the energy consumption in buildings, while increasing comfort and convenience for the occupants. For design and planning purposes, there is a need to quantify the potential impacts of implementing BACS, especially related to their capability for reducing the operational energy demand of a building. The simplified BAC factor method defined in standard EN 15232 aims to provide a generic estimation of expected energy savings. Alternatively, dynamic energy performance simulations can provide more detailed insights on a particular building design.

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  • 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).
    • Handle: RePEc:eee:rensus:v:158:y:2022:i:c:s1364032122000296
    DOI: 10.1016/j.rser.2022.112099
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    1. Ahn, Byung-Lip & Jang, Cheol-Yong & Leigh, Seung-Bok & Yoo, Seunghwan & Jeong, Hakgeun, 2014. "Effect of LED lighting on the cooling and heating loads in office buildings," Applied Energy, Elsevier, vol. 113(C), pages 1484-1489.
    2. Ürge-Vorsatz, Diana & Cabeza, Luisa F. & Serrano, Susana & Barreneche, Camila & Petrichenko, Ksenia, 2015. "Heating and cooling energy trends and drivers in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 85-98.
    3. Araújo, António & Pereira, Vítor, 2017. "Solar thermal modeling for rapid estimation of auxiliary energy requirements in domestic hot water production: Proportional flow rate control," Energy, Elsevier, vol. 138(C), pages 668-681.
    4. Michael J. Ritchie & Jacobus A.A. Engelbrecht & Marthinus J. Booysen, 2021. "Practically-Achievable Energy Savings with the Optimal Control of Stratified Water Heaters with Predicted Usage," Energies, MDPI, vol. 14(7), pages 1-23, April.
    5. Ignacio Acosta & Miguel Ángel Campano & Samuel Domínguez-Amarillo & Carmen Muñoz, 2018. "Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management," Energies, MDPI, vol. 11(11), pages 1-27, November.
    6. 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).
    7. Francesco Nicoletti & Cristina Carpino & Mario A. Cucumo & Natale Arcuri, 2020. "The Control of Venetian Blinds: A Solution for Reduction of Energy Consumption Preserving Visual Comfort," Energies, MDPI, vol. 13(7), pages 1-12, April.
    8. Gabriele Lobaccaro & Salvatore Carlucci & Erica Löfström, 2016. "A Review of Systems and Technologies for Smart Homes and Smart Grids," Energies, MDPI, vol. 9(5), pages 1-33, May.
    9. 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).
    10. Ilaria Vigna & Roberta Pernetti & Giovanni Pernigotto & Andrea Gasparella, 2020. "Analysis of the Building Smart Readiness Indicator Calculation: A Comparative Case-Study with Two Panels of Experts," Energies, MDPI, vol. 13(11), pages 1-18, June.
    11. Paris A. Fokaides & Christiana Panteli & Andri Panayidou, 2020. "How Are the Smart Readiness Indicators Expected to Affect the Energy Performance of Buildings: First Evidence and Perspectives," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    12. Niraj Kunwar & Mahabir Bhandari, 2020. "A Comprehensive Analysis of Energy and Daylighting Impact of Window Shading Systems and Control Strategies on Commercial Buildings in the United States," Energies, MDPI, vol. 13(9), pages 1-21, May.
    13. Pomianowski, M.Z. & Johra, H. & Marszal-Pomianowska, A. & Zhang, C., 2020. "Sustainable and energy-efficient domestic hot water systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    14. Araújo, António & Pereira, Vítor, 2017. "Solar thermal modeling for rapid estimation of auxiliary energy requirements in domestic hot water production: On-off flow rate control," Energy, Elsevier, vol. 119(C), pages 637-651.
    15. D.P. Jenkins, 2009. "The importance of office internal heat gains in reducing cooling loads in a changing climate," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 4(3), pages 134-140, May.
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    1. Yan, Biao & Yang, Wansheng & He, Fuquan & Zeng, Wenhao, 2023. "Occupant behavior impact in buildings and the artificial intelligence-based techniques and data-driven approach solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

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