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A Data Ecosystem for Data-Driven Thermal Energy Transition: Reflection on Current Practice and Suggestions for Re-Design

Author

Listed:
  • Devin Diran

    (Department of Strategy & Policy, Netherlands Organisation for Applied Scientific Research TNO, Anna van Buerenplein 1, 2595 DA The Hague, The Netherlands)

  • Thomas Hoppe

    (Faculty of Technology, Policy and Management (TPM), Delft University of Technology, Jaffalaan 5, 2628 BX Delft, The Netherlands)

  • Jolien Ubacht

    (Faculty of Technology, Policy and Management (TPM), Delft University of Technology, Jaffalaan 5, 2628 BX Delft, The Netherlands)

  • Adriaan Slob

    (Department of Strategy & Policy, Netherlands Organisation for Applied Scientific Research TNO, Anna van Buerenplein 1, 2595 DA The Hague, The Netherlands)

  • Kornelis Blok

    (Faculty of Technology, Policy and Management (TPM), Delft University of Technology, Jaffalaan 5, 2628 BX Delft, The Netherlands)

Abstract

The transition towards low-carbon thermal energy systems requires solid information provision to support both public and private decision-making, which is future proof and optimal in the context of the system dependencies. We adopt a data ecosystem approach to answer the following research question: How can a data ecosystem be analyzed and developed to enable the data-driven support of the local thermal energy transition, by capturing both social and technical aspects of the urban thermal energy system? A case study research design of the Netherlands, with an embedded case of the city of Utrecht therein, was used, including data collection involving 21 expert interviews representing a diversity of stakeholders, and qualitative data analysis using NVivo version 10. The data ecosystem includes the necessary elements, roles, and context for decision makers in a local heat transition and captures the social as well as technical aspects of an urban thermal energy system. Assessment of the data ecosystem pertaining to thermal heat transition in the city of Utrecht shows that it is still in its infancy phase, with challenges, barriers, and shortcomings in all its key elements. We present suggestions for the (re-)design of an inclusive and holistic data ecosystem that addresses the current shortcomings.

Suggested Citation

  • Devin Diran & Thomas Hoppe & Jolien Ubacht & Adriaan Slob & Kornelis Blok, 2020. "A Data Ecosystem for Data-Driven Thermal Energy Transition: Reflection on Current Practice and Suggestions for Re-Design," Energies, MDPI, vol. 13(2), pages 1-28, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:444-:d:309647
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    References listed on IDEAS

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    Cited by:

    1. Merit Tatar & Tarmo Kalvet & Marek Tiits, 2020. "Cities4ZERO Approach to Foresight for Fostering Smart Energy Transition on Municipal Level," Energies, MDPI, vol. 13(14), pages 1-30, July.
    2. Herreras Martínez, Sara & Harmsen, Robert & Menkveld, Marijke & Faaij, André & Kramer, Gert Jan, 2022. "Municipalities as key actors in the heat transition to decarbonise buildings: Experiences from local planning and implementation in a learning context," Energy Policy, Elsevier, vol. 169(C).
    3. Birgit A. Henrich & Thomas Hoppe & Devin Diran & Zofia Lukszo, 2021. "The Use of Energy Models in Local Heating Transition Decision Making: Insights from Ten Municipalities in The Netherlands," Energies, MDPI, vol. 14(2), pages 1-23, January.

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