IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i22p9496-d445284.html
   My bibliography  Save this article

How Are the Smart Readiness Indicators Expected to Affect the Energy Performance of Buildings: First Evidence and Perspectives

Author

Listed:
  • Paris A. Fokaides

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, Studentu str. 48, LT-51367 Kaunas, Lithuania
    School of Engineering, Frederick University, Nicosia 1036, Cyprus)

  • Christiana Panteli

    (School of Engineering, Frederick University, Nicosia 1036, Cyprus)

  • Andri Panayidou

    (School of Engineering, Frederick University, Nicosia 1036, Cyprus)

Abstract

In 2018, the European Commission adopted the Smart Readiness Indicator (SRI) concept in the recast of the directive on the energy efficiency of buildings. The set of SRIs is a measure of the intelligence of buildings systems, and its promotion is expected to contribute to the energy savings of the building sector. These indicators are relatively new and were developed only at the beginning of last decade, within European standards. This study introduces and elaborates on these indicators, as delivered in the final report of the European Commission. Some first results, which are obtained using a tool developed by the European Commission, are also presented. The work identifies gaps and perspectives for improvement of this system, as well as predicting the evolution of its implementation in the coming years, through specific numerical scenarios.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9496-:d:445284
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/22/9496/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/22/9496/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Junker, Rune Grønborg & Azar, Armin Ghasem & Lopes, Rui Amaral & Lindberg, Karen Byskov & Reynders, Glenn & Relan, Rishi & Madsen, Henrik, 2018. "Characterizing the energy flexibility of buildings and districts," Applied Energy, Elsevier, vol. 225(C), pages 175-182.
    2. Rodrigues, E.M.G. & Osório, G.J. & Godina, R. & Bizuayehu, A.W. & Lujano-Rojas, J.M. & Catalão, J.P.S., 2016. "Grid code reinforcements for deeper renewable generation in insular energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 163-177.
    3. Fokaides, Paris A. & Christoforou, Elias A. & Kalogirou, Soteris A., 2014. "Legislation driven scenarios based on recent construction advancements towards the achievement of nearly zero energy dwellings in the southern European country of Cyprus," Energy, Elsevier, vol. 66(C), pages 588-597.
    4. Lin, Boqiang & Wesseh, Presley K., 2020. "On the economics of carbon pricing: Insights from econometric modeling with industry-level data," Energy Economics, Elsevier, vol. 86(C).
    5. 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.
    6. Eerika Janhunen & Niina Leskinen & Seppo Junnila, 2020. "The Economic Viability of a Progressive Smart Building System with Power Storage," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Spudys, Paulius & Osadcha, Iryna & Morkunaite, Lina & Manhanga, Fallon Clare & Georgali, Phoebe Zoe & Klumbyte, Egle & Jurelionis, Andrius & Papadopoulos, Agis & Fokaides, Paris, 2024. "A comparative life cycle assessment of building sustainability across typical European building geometries," Energy, Elsevier, vol. 302(C).
    2. Hernández, José L. & de Miguel, Ignacio & Vélez, Fredy & Vasallo, Ali, 2024. "Challenges and opportunities in European smart buildings energy management: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    3. 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).
    4. Laura Canale & Marianna De Monaco & Biagio Di Pietra & Giovanni Puglisi & Giorgio Ficco & Ilaria Bertini & Marco Dell’Isola, 2021. "Estimating the Smart Readiness Indicator in the Italian Residential Building Stock in Different Scenarios," Energies, MDPI, vol. 14(20), pages 1-19, October.
    5. Enrique Cano-Suñén & Ignacio Martínez & Ángel Fernández & Belén Zalba & Roberto Casas, 2023. "Internet of Things (IoT) in Buildings: A Learning Factory," Sustainability, MDPI, vol. 15(16), pages 1-26, August.
    6. Andrzej Ożadowicz, 2022. "A Hybrid Approach in Design of Building Energy Management System with Smart Readiness Indicator and Building as a Service Concept," Energies, MDPI, vol. 15(4), pages 1-19, February.
    7. Ioannis Vardopoulos & Ioannis Vannas & George Xydis & Constantinos Vassiliades, 2023. "Homeowners’ Perceptions of Renewable Energy and Market Value of Sustainable Buildings," Energies, MDPI, vol. 16(10), pages 1-18, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Han & Johra, Hicham & de Andrade Pereira, Flavia & Hong, Tianzhen & Le Dréau, Jérôme & Maturo, Anthony & Wei, Mingjun & Liu, Yapan & Saberi-Derakhtenjani, Ali & Nagy, Zoltan & Marszal-Pomianowska,, 2023. "Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives," Applied Energy, Elsevier, vol. 343(C).
    2. Hernández, José L. & de Miguel, Ignacio & Vélez, Fredy & Vasallo, Ali, 2024. "Challenges and opportunities in European smart buildings energy management: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    3. Chen, Yongbao & Chen, Zhe & Xu, Peng & Li, Weilin & Sha, Huajing & Yang, Zhiwei & Li, Guowen & Hu, Chonghe, 2019. "Quantification of electricity flexibility in demand response: Office building case study," Energy, Elsevier, vol. 188(C).
    4. Majdalani, Naim & Aelenei, Daniel & Lopes, Rui Amaral & Silva, Carlos Augusto Santo, 2020. "The potential of energy flexibility of space heating and cooling in Portugal," Utilities Policy, Elsevier, vol. 66(C).
    5. Fabietti, Luca & Qureshi, Faran A. & Gorecki, Tomasz T. & Salzmann, Christophe & Jones, Colin N., 2018. "Multi-time scale coordination of complementary resources for the provision of ancillary services," Applied Energy, Elsevier, vol. 229(C), pages 1164-1180.
    6. Presley K. Wesseh & Boqiang Lin & Yixuan Zhang & Preslyn Sharon Wesseh, 2024. "Sustainable entrepreneurship: When does environmental compliance improve corporate performance?," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 3203-3221, May.
    7. Sun, Chuanwang & Tie, Ying & Yu, Lili, 2024. "How to achieve both environmental protection and firm performance improvement: Based on China's carbon emissions trading (CET) policy," Energy Economics, Elsevier, vol. 130(C).
    8. Zhao, Jing & Yang, Zilan & Shi, Linyu & Liu, Dehan & Li, Haonan & Mi, Yumiao & Wang, Hongbin & Feng, Meili & Hutagaol, Timothy Joseph, 2024. "Photovoltaic capacity dynamic tracking model predictive control strategy of air-conditioning systems with consideration of flexible loads," Applied Energy, Elsevier, vol. 356(C).
    9. Andrzej Ożadowicz & Gabriela Walczyk, 2023. "Energy Performance and Control Strategy for Dynamic Façade with Perovskite PV Panels—Technical Analysis and Case Study," Energies, MDPI, vol. 16(9), pages 1-23, April.
    10. Vandermeulen, Annelies & Van Oevelen, Tijs & van der Heijde, Bram & Helsen, Lieve, 2020. "A simulation-based evaluation of substation models for network flexibility characterisation in district heating networks," Energy, Elsevier, vol. 201(C).
    11. Yang, Chao & Yao, Wei & Fang, Jiakun & Ai, Xiaomeng & Chen, Zhe & Wen, Jinyu & He, Haibo, 2019. "Dynamic event-triggered robust secondary frequency control for islanded AC microgrid," Applied Energy, Elsevier, vol. 242(C), pages 821-836.
    12. Jennifer Date & José A. Candanedo & Andreas K. Athienitis, 2021. "A Methodology for the Enhancement of the Energy Flexibility and Contingency Response of a Building through Predictive Control of Passive and Active Storage," Energies, MDPI, vol. 14(5), pages 1-28, March.
    13. Laura Canale & Marianna De Monaco & Biagio Di Pietra & Giovanni Puglisi & Giorgio Ficco & Ilaria Bertini & Marco Dell’Isola, 2021. "Estimating the Smart Readiness Indicator in the Italian Residential Building Stock in Different Scenarios," Energies, MDPI, vol. 14(20), pages 1-19, October.
    14. José Ignacio Sarasúa & Guillermo Martínez-Lucas & Carlos A. Platero & José Ángel Sánchez-Fernández, 2018. "Dual Frequency Regulation in Pumping Mode in a Wind–Hydro Isolated System," Energies, MDPI, vol. 11(11), pages 1-17, October.
    15. Dreidy, Mohammad & Mokhlis, H. & Mekhilef, Saad, 2017. "Inertia response and frequency control techniques for renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 144-155.
    16. Paris A. Fokaides & Angeliki Kylili & Ioannis Kyriakides, 2018. "Boundary Conditions Accuracy Effect on the Numerical Simulations of the Thermal Performance of Building Elements," Energies, MDPI, vol. 11(6), pages 1-19, June.
    17. Huang, Zhi-xiong & Yang, Xiandong, 2021. "Carbon emissions and firm innovation," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 503-513.
    18. Ilaria Vigna & Jessica Balest & Wilmer Pasut & Roberta Pernetti, 2020. "Office Occupants’ Perspective Dealing with Energy Flexibility: A Large-Scale Survey in the Province of Bolzano," Energies, MDPI, vol. 13(17), pages 1-20, August.
    19. Thilker, Christian Ankerstjerne & Madsen, Henrik & Jørgensen, John Bagterp, 2021. "Advanced forecasting and disturbance modelling for model predictive control of smart energy systems," Applied Energy, Elsevier, vol. 292(C).
    20. Wesseh, Presley K. & Benjamin, Nelson I. & Lin, Boqiang, 2022. "The coordination of pumped hydro storage, electric vehicles, and climate policy in imperfect electricity markets: Insights from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9496-:d:445284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.