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Analysis of the Building Smart Readiness Indicator Calculation: A Comparative Case-Study with Two Panels of Experts

Author

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  • Ilaria Vigna

    (Institute for Renewable Energy, EURAC Research, 39100 Bolzano, Italy
    Department of Energy, Politecnico di Torino, 10129 Torino, Italy)

  • Roberta Pernetti

    (Institute for Renewable Energy, EURAC Research, 39100 Bolzano, Italy)

  • Giovanni Pernigotto

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy)

  • Andrea Gasparella

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy)

Abstract

The last release of the Energy Performance of Buildings Directive 2018/844/EU stated that smart buildings will play a crucial role in the future energy systems. Consequently, the Directive introduced the Smart Readiness Indicator in order to provide a common framework to highlight the value of building smartness across Europe. The methodology for the calculation of the Smart Readiness Indicator is currently under development and therefore not yet officially adopted at the European Union level. In this context, the current research analyzed the second public release of the proposed methodology, discussing the feasibility of its implementation and the obtained results through a practical application. Specifically, the methodology was applied to a nearly zero-energy office building located in Italy, and the evaluation was carried out in parallel by two different expert groups composed by researchers and technical building systems specialists. With the aim of analyzing the impact of subjective evaluations on the calculated indicator, a two-step assessment was adopted: in a first phase the two groups worked separately, and only in a second phase they were allowed to compare results, discuss discrepancies and identify the difficulties in applying the methodology. As the main outcome of this research, a set of recommendations are presented for an effective broad implementation of the Smart Readiness Indicator, able to increase the relevance of its evaluation and effectiveness, as well as to enhance the comparability of smart readiness of buildings through the definition of benchmarks and to integrate with other measurable key indicators, especially concerning energy flexibility.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2796-:d:365996
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    References listed on IDEAS

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    Cited by:

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    4. Gabriela Walczyk & Andrzej Ożadowicz, 2024. "Building Information Modeling and Digital Twins for Functional and Technical Design of Smart Buildings with Distributed IoT Networks—Review and New Challenges Discussion," Future Internet, MDPI, vol. 16(7), pages 1-28, June.
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    7. Thomas Märzinger & Doris Österreicher, 2020. "Extending the Application of the Smart Readiness Indicator—A Methodology for the Quantitative Assessment of the Load Shifting Potential of Smart Districts," Energies, MDPI, vol. 13(13), pages 1-24, July.
    8. 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.
    9. 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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