IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v199y2024ics1364032124001953.html
   My bibliography  Save this article

Challenges and opportunities in European smart buildings energy management: A critical review

Author

Listed:
  • Hernández, José L.
  • de Miguel, Ignacio
  • Vélez, Fredy
  • Vasallo, Ali

Abstract

The substantial stock of European buildings, accounting for more than 40% of energy consumption, has prompted member states to establish a renovation standard with stringent performance criteria. As advancing into the era of digital transformation, the concept of smart buildings emerges as a solution to create sustainable, efficient, resilient, active, and comfortable living and working spaces. This is achieved through intelligent resource use optimization, including the smart management of energy production, storage and distribution systems. Smart buildings operate by harnessing monitoring data and leveraging artificial intelligence algorithms and big data techniques. The integration of monitoring data with contextual information, such as building information modelling, physics, or simulation models, enhances the intelligent management of resources. Moreover, the incorporation of metrics like the smart readiness indicator promotes the adoption of smart buildings. This study delves into the significance of these techniques, expanding on existing research in the field of smart buildings. It integrates concepts of data enrichment, smartness, and user-centric approaches. Key findings provide insights into future opportunities within the sector, emphasizing the need for user awareness strategies, the development of new smart algorithms, and services that incorporate contextual data and the smart readiness indicator. The study also advocates for the widespread adoption of building digital twins.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:rensus:v:199:y:2024:i:c:s1364032124001953
    DOI: 10.1016/j.rser.2024.114472
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032124001953
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2024.114472?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yun-Yi Zhang & Kai Kang & Jia-Rui Lin & Jian-Ping Zhang & Yi Zhang, 2020. "Building information modeling–based cyber-physical platform for building performance monitoring," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
    2. Konstantakopoulos, Ioannis C. & Barkan, Andrew R. & He, Shiying & Veeravalli, Tanya & Liu, Huihan & Spanos, Costas, 2019. "A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure," Applied Energy, Elsevier, vol. 237(C), pages 810-821.
    3. Zhou, Yuekuan, 2022. "Demand response flexibility with synergies on passive PCM walls, BIPVs, and active air-conditioning system in a subtropical climate," Renewable Energy, Elsevier, vol. 199(C), pages 204-225.
    4. Bibri, Simon Elias, 2022. "Eco-districts and data-driven smart eco-cities: Emerging approaches to strategic planning by design and spatial scaling and evaluation by technology," Land Use Policy, Elsevier, vol. 113(C).
    5. Amin, Amin & Kem, Oudom & Gallegos, Pablo & Chervet, Philipp & Ksontini, Feirouz & Mourshed, Monjur, 2022. "Demand response in buildings: Unlocking energy flexibility through district-level electro-thermal simulation," Applied Energy, Elsevier, vol. 305(C).
    6. Varlamis, Iraklis & Sardianos, Christos & Chronis, Christos & Dimitrakopoulos, George & Himeur, Yassine & Alsalemi, Abdullah & Bensaali, Faycal & Amira, Abbes, 2022. "Smart fusion of sensor data and human feedback for personalized energy-saving recommendations," Applied Energy, Elsevier, vol. 305(C).
    7. Schmidt, Mischa & Åhlund, Christer, 2018. "Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 742-756.
    8. José Hernández & Rubén García & Joachim Schonowski & Daniel Atlan & Guillaume Chanson & Timo Ruohomäki, 2020. "Interoperable Open Specifications Framework for the Implementation of Standardized Urban Platforms," Post-Print hal-04012781, HAL.
    9. Haji Hosseinloo, Ashkan & Ryzhov, Alexander & Bischi, Aldo & Ouerdane, Henni & Turitsyn, Konstantin & Dahleh, Munther A., 2020. "Data-driven control of micro-climate in buildings: An event-triggered reinforcement learning approach," Applied Energy, Elsevier, vol. 277(C).
    10. Nicos Komninos, 2022. "Net Zero Energy Districts: Connected Intelligence for Carbon-Neutral Cities," Land, MDPI, vol. 11(2), pages 1-29, January.
    11. Arnaudo, Monica & Topel, Monika & Puerto, Pablo & Widl, Edmund & Laumert, Björn, 2019. "Heat demand peak shaving in urban integrated energy systems by demand side management - A techno-economic and environmental approach," Energy, Elsevier, vol. 186(C).
    12. Vangelis Marinakis, 2020. "Big Data for Energy Management and Energy-Efficient Buildings," Energies, MDPI, vol. 13(7), pages 1-18, March.
    13. Johannes Giehl & Hayri Göcke & Benjamin Grosse & Johannes Kochems & Joachim Müller-Kirchenbauer, 2020. "Survey and Classification of Business Models for the Energy Transformation," Energies, MDPI, vol. 13(11), pages 1-17, June.
    14. Gea-Bermúdez, Juan & Jensen, Ida Græsted & Münster, Marie & Koivisto, Matti & Kirkerud, Jon Gustav & Chen, Yi-kuang & Ravn, Hans, 2021. "The role of sector coupling in the green transition: A least-cost energy system development in Northern-central Europe towards 2050," Applied Energy, Elsevier, vol. 289(C).
    15. César Benavente-Peces & Nisrine Ibadah, 2020. "Buildings Energy Efficiency Analysis and Classification Using Various Machine Learning Technique Classifiers," Energies, MDPI, vol. 13(13), pages 1-24, July.
    16. Yang, Shiyu & Oliver Gao, H. & You, Fengqi, 2022. "Model predictive control for Demand- and Market-Responsive building energy management by leveraging active latent heat storage," Applied Energy, Elsevier, vol. 327(C).
    17. Luo, Na & Pritoni, Marco & Hong, Tianzhen, 2021. "An overview of data tools for representing and managing building information and performance data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    18. Dongsu Kim & Yeobeom Yoon & Jongman Lee & Pedro J. Mago & Kwangho Lee & Heejin Cho, 2022. "Design and Implementation of Smart Buildings: A Review of Current Research Trend," Energies, MDPI, vol. 15(12), pages 1-17, June.
    19. Sanguk Park & Sanghoon Lee & Sangmin Park & Sehyun Park, 2019. "AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development," Sustainability, MDPI, vol. 11(16), pages 1-30, August.
    20. Lumbreras, Mikel & Garay-Martinez, Roberto & Arregi, Beñat & Martin-Escudero, Koldobika & Diarce, Gonzalo & Raud, Margus & Hagu, Indrek, 2022. "Data driven model for heat load prediction in buildings connected to District Heating by using smart heat meters," Energy, Elsevier, vol. 239(PD).
    21. Aslam, Sheraz & Herodotou, Herodotos & Mohsin, Syed Muhammad & Javaid, Nadeem & Ashraf, Nouman & Aslam, Shahzad, 2021. "A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    22. Li, Y. & Kubicki, S. & Guerriero, A. & Rezgui, Y., 2019. "Review of building energy performance certification schemes towards future improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    23. Agustín Zaballos & Alan Briones & Alba Massa & Pol Centelles & Víctor Caballero, 2020. "A Smart Campus’ Digital Twin for Sustainable Comfort Monitoring," Sustainability, MDPI, vol. 12(21), pages 1-33, November.
    24. 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.
    25. 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.
    26. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    27. Seunghwan Myeong & Khurram Shahzad, 2021. "Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities," Sustainability, MDPI, vol. 13(13), pages 1-14, June.
    28. Maturo, Anthony & Buonomano, Annamaria & Athienitis, Andreas, 2022. "Design for energy flexibility in smart buildings through solar based and thermal storage systems: Modelling, simulation and control for the system optimization," Energy, Elsevier, vol. 260(C).
    29. 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.
    30. Barja-Martinez, Sara & Aragüés-Peñalba, Mònica & Munné-Collado, Íngrid & Lloret-Gallego, Pau & Bullich-Massagué, Eduard & Villafafila-Robles, Roberto, 2021. "Artificial intelligence techniques for enabling Big Data services in distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    31. Sakdirat Kaewunruen & Jessada Sresakoolchai & Lalida Kerinnonta, 2019. "Potential Reconstruction Design of an Existing Townhouse in Washington DC for Approaching Net Zero Energy Building Goal," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    32. Hassam ur Rehman & Jan Diriken & Ala Hasan & Stijn Verbeke & Francesco Reda, 2021. "Energy and Emission Implications of Electric Vehicles Integration with Nearly and Net Zero Energy Buildings," Energies, MDPI, vol. 14(21), pages 1-30, October.
    33. Lee, Zachary E. & Max Zhang, K., 2022. "Unintended consequences of smart thermostats in the transition to electrified heating," Applied Energy, Elsevier, vol. 322(C).
    34. 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.
    35. Dong, Bing & Liu, Yapan & Fontenot, Hannah & Ouf, Mohamed & Osman, Mohamed & Chong, Adrian & Qin, Shuxu & Salim, Flora & Xue, Hao & Yan, Da & Jin, Yuan & Han, Mengjie & Zhang, Xingxing & Azar, Elie & , 2021. "Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review," Applied Energy, Elsevier, vol. 293(C).
    36. Raman, Naren Srivaths & Chen, Bo & Barooah, Prabir, 2022. "On energy-efficient HVAC operation with Model Predictive Control: A multiple climate zone study," Applied Energy, Elsevier, vol. 324(C).
    37. Kong, Xiangyu & Sun, Fangyuan & Huo, Xianxu & Li, Xue & Shen, Yu, 2020. "Hierarchical optimal scheduling method of heat-electricity integrated energy system based on Power Internet of Things," Energy, Elsevier, vol. 210(C).
    38. Li, Yanfei & O'Neill, Zheng & Zhang, Liang & Chen, Jianli & Im, Piljae & DeGraw, Jason, 2021. "Grey-box modeling and application for building energy simulations - A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    39. Matthew J Page & Joanne E McKenzie & Patrick M Bossuyt & Isabelle Boutron & Tammy C Hoffmann & Cynthia D Mulrow & Larissa Shamseer & Jennifer M Tetzlaff & Elie A Akl & Sue E Brennan & Roger Chou & Jul, 2021. "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-15, March.
    40. Ignacio Martínez & Belén Zalba & Raquel Trillo-Lado & Teresa Blanco & David Cambra & Roberto Casas, 2021. "Internet of Things (IoT) as Sustainable Development Goals (SDG) Enabling Technology towards Smart Readiness Indicators (SRI) for University Buildings," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    Full references (including those not matched with items on IDEAS)

    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. Rafaela Bortolini & Raul Rodrigues & Hamidreza Alavi & Luisa Felix Dalla Vecchia & Núria Forcada, 2022. "Digital Twins’ Applications for Building Energy Efficiency: A Review," Energies, MDPI, vol. 15(19), pages 1-17, September.
    2. 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.
    3. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
    4. 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.
    5. 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).
    6. Ifaei, Pouya & Nazari-Heris, Morteza & Tayerani Charmchi, Amir Saman & Asadi, Somayeh & Yoo, ChangKyoo, 2023. "Sustainable energies and machine learning: An organized review of recent applications and challenges," Energy, Elsevier, vol. 266(C).
    7. Aguilar, J. & Garces-Jimenez, A. & R-Moreno, M.D. & García, Rodrigo, 2021. "A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    8. Shahzad Aslam & Nasir Ayub & Umer Farooq & Muhammad Junaid Alvi & Fahad R. Albogamy & Gul Rukh & Syed Irtaza Haider & Ahmad Taher Azar & Rasool Bukhsh, 2021. "Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid," Sustainability, MDPI, vol. 13(22), pages 1-28, November.
    9. Liang, Xinbin & Chen, Siliang & Zhu, Xu & Jin, Xinqiao & Du, Zhimin, 2023. "Domain knowledge decomposition of building energy consumption and a hybrid data-driven model for 24-h ahead predictions," Applied Energy, Elsevier, vol. 344(C).
    10. Shu, Lei & Mo, Yunjeong & Zhao, Dong, 2024. "Energy retrofits for smart and connected communities: Scopes and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    11. Massimiliano Manfren & Karla M. Gonzalez-Carreon & Patrick A. B. James, 2024. "Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps," Energies, MDPI, vol. 17(4), pages 1-22, February.
    12. 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.
    13. Xu, Xiaoxiao & Yu, Hao & Sun, Qiuwen & Tam, Vivian W.Y., 2023. "A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    14. Arafat, M.Y. & Hossain, M.J. & Alam, Md Morshed, 2024. "Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
    15. Seppo Sierla & Heikki Ihasalo & Valeriy Vyatkin, 2022. "A Review of Reinforcement Learning Applications to Control of Heating, Ventilation and Air Conditioning Systems," Energies, MDPI, vol. 15(10), pages 1-25, May.
    16. 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).
    17. Mustaffa, Nur Kamaliah & Kudus, Sakhiah Abdul, 2022. "Challenges and way forward towards best practices of energy efficient building in Malaysia," Energy, Elsevier, vol. 259(C).
    18. Parupudi, Ranga Vihari & Singh, Harjit & Kolokotroni, Maria, 2020. "Low Concentrating Photovoltaics (LCPV) for buildings and their performance analyses," Applied Energy, Elsevier, vol. 279(C).
    19. Damianakis, Nikolaos & Mouli, Gautham Ram Chandra & Bauer, Pavol & Yu, Yunhe, 2023. "Assessing the grid impact of Electric Vehicles, Heat Pumps & PV generation in Dutch LV distribution grids," Applied Energy, Elsevier, vol. 352(C).
    20. Liu, Xiaoqi & Lee, Seungjae & Bilionis, Ilias & Karava, Panagiota & Joe, Jaewan & Sadeghi, Seyed Amir, 2021. "A user-interactive system for smart thermal environment control in office buildings," Applied Energy, Elsevier, vol. 298(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:eee:rensus:v:199:y:2024:i:c:s1364032124001953. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.