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Energy Potential Mapping: Open Data in Support of Urban Transition Planning

Author

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  • Michiel Fremouw

    (Faculty of Architecture and the Built Environment, Department of Architectural Engineering + Technology, Delft University of Technology, 2628 BL Delft, The Netherlands)

  • Annamaria Bagaini

    (Department of Planning, Design and Technology of Architecture, Sapienza University, 00185 Rome, Italy)

  • Paolo De Pascali

    (Department of Planning, Design and Technology of Architecture, Sapienza University, 00185 Rome, Italy)

Abstract

Cities play a key role in driving the transition to sustainable energy. Urban areas represent between 60% and 80% of global energy consumption and are a significant source of CO 2 emissions, making energy management at the urban scale an important area of research. Urban energy systems have a strong influence on the environment, economy, social dimensions and urban spatial planning. Energy consumption affects the urban microclimate, urban comfort, human health, and conversely, urban physical, economic and social characteristics affect the energy urban profile. In order to improve the quality of energy strategies, policies, and plans, local authorities need decision support tools, like energy potential mapping, which have risen significance in the last decades. Energy data are crucial for those tools. They can increase the quality and effectiveness of energy planning but also support the integration between energy and spatial planning. Energy data can also stimulate citizen engagement as well as encourage sustainable behaviours and CO 2 emission reduction. This paper aims to increase the practice of data-aware planning, through the study of problems in energy data acquisition and processing observed in European projects focused on developing energy mapping tools. The problems observed attend to two main areas: technical and socio-economic issues. Those were derived from a comparison of energy mapping tools, and the work conducted for the PLANHEAT development. The scope of the research is to understand the main recurring issues in energy data acquisition and processing, in order to overcome the barriers in data availability. Increasing awareness of the relevance of energy data can foster the use of energy mapping tools, increasing the quality of energy policies and planning.

Suggested Citation

  • Michiel Fremouw & Annamaria Bagaini & Paolo De Pascali, 2020. "Energy Potential Mapping: Open Data in Support of Urban Transition Planning," Energies, MDPI, vol. 13(5), pages 1-15, March.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1264-:d:330230
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    References listed on IDEAS

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    2. Paola Marrone & Federico Fiume & Antonino Laudani & Ilaria Montella & Martina Palermo & Francesco Riganti Fulginei, 2023. "Distributed Energy Systems: Constraints and Opportunities in Urban Environments," Energies, MDPI, vol. 16(6), pages 1-27, March.
    3. Dumiter Florin Cornel & Turcaș Florin Marius & Boiţă Marius, 2023. "Oil Shock Impact Upon Energy Companies Investment Portfolios. Trends and Evolutions in the Energy Consumption Sector," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(1), pages 1-27, March.
    4. Benedetto Nastasi & Massimiliano Manfren & Michel Noussan, 2020. "Open Data and Energy Analytics," Energies, MDPI, vol. 13(9), pages 1-3, May.
    5. Hailiang Huang & Changfeng Shi, 2023. "Analysis of the Path Optimization of the Sustainable Development of Coal-Energy Cities Based on TOPSIS Evaluation Model," Energies, MDPI, vol. 16(2), pages 1-17, January.
    6. Nils Artiges & Simon Rouchier & Benoit Delinchant & Frédéric Wurtz, 2021. "Bayesian Inference of Dwellings Energy Signature at National Scale: Case of the French Residential Stock," Energies, MDPI, vol. 14(18), pages 1-26, September.
    7. Kleanthis Koupidis & Charalampos Bratsas & Christos Vlachokostas, 2022. "OpΕnergy: An Intelligent System for Monitoring EU Energy Strategy Using EU Open Data," Energies, MDPI, vol. 15(21), pages 1-15, November.

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