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Big Data Value Chain: Multiple Perspectives for the Built Environment

Author

Listed:
  • Gema Hernández-Moral

    (CARTIF Technology Centre, Parque Tecnológico de Boecillo, Boecillo, 47151 Valladolid, Spain)

  • Sofía Mulero-Palencia

    (CARTIF Technology Centre, Parque Tecnológico de Boecillo, Boecillo, 47151 Valladolid, Spain)

  • Víctor Iván Serna-González

    (CARTIF Technology Centre, Parque Tecnológico de Boecillo, Boecillo, 47151 Valladolid, Spain)

  • Carla Rodríguez-Alonso

    (CARTIF Technology Centre, Parque Tecnológico de Boecillo, Boecillo, 47151 Valladolid, Spain)

  • Roberto Sanz-Jimeno

    (CARTIF Technology Centre, Parque Tecnológico de Boecillo, Boecillo, 47151 Valladolid, Spain)

  • Vangelis Marinakis

    (Decision Support Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Nikos Dimitropoulos

    (Decision Support Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Zoi Mylona

    (HOLISTIC IKE, 15343 Athens, Greece)

  • Daniele Antonucci

    (Institute for Renewable Energy, Eurac Research, 39100 Bozen/Bolzano, Italy)

  • Haris Doukas

    (Decision Support Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

Abstract

Current climate change threats and increasing CO 2 emissions, especially from the building stock, represent a context where action is required. It is necessary to provide efficient manners to manage energy demand in buildings and contribute to a decarbonised future. By combining new technologies, such as artificial intelligence, Internet of things, blockchain, and the exploitation of big data towards solving real life problems, the way could be paved towards smart and energy-aware buildings. In this context, the aim of this paper is to present a critical review and an in-detail definition of the big data value chain for the built environment in Europe, covering multiple needs and perspectives: “policy”, “technology” and “business”, in order to explore the main challenges and opportunities in this area.

Suggested Citation

  • Gema Hernández-Moral & Sofía Mulero-Palencia & Víctor Iván Serna-González & Carla Rodríguez-Alonso & Roberto Sanz-Jimeno & Vangelis Marinakis & Nikos Dimitropoulos & Zoi Mylona & Daniele Antonucci & H, 2021. "Big Data Value Chain: Multiple Perspectives for the Built Environment," Energies, MDPI, vol. 14(15), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4624-:d:605026
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    References listed on IDEAS

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    Cited by:

    1. Marco Pau & Panagiotis Kapsalis & Zhiyu Pan & George Korbakis & Dario Pellegrino & Antonello Monti, 2022. "MATRYCS—A Big Data Architecture for Advanced Services in the Building Domain," Energies, MDPI, vol. 15(7), pages 1-22, April.

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