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Open-source modeling of a low-carbon urban neighborhood with high shares of local renewable generation

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  • Zwickl-Bernhard, Sebastian
  • Auer, Hans

Abstract

The main research question of this work is how an urban neighborhood can optimally exploit its local renewable generation potential to cover its electricity, heat and cooling demand. Various cost-minimizing energy technology portfolio studies are examined for an energy community in Vienna, Austria. The method applied is a tailor-made extension of the existing open-source model urbs. Additional functionalities and energy services have been implemented. The results of three scenarios identify a variety of different trade-offs between energy technology utilization, local supply within the community and external supply from outside. The introduced performance indicators reveal the respective strengths/weaknesses of the different energy supply options. In this context, the economic efficiency of geothermal sources and the connection to the district cooling network are highlighted, which have so far received little attention. The insights achieved in this work directly support sustainable urban energy planning. Future work may focus on mapping higher spatial resolution, further enhancement of the performance indicators and implementation of operational energy scheduling and dispatch into the open-source modeling approach.

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  • Zwickl-Bernhard, Sebastian & Auer, Hans, 2021. "Open-source modeling of a low-carbon urban neighborhood with high shares of local renewable generation," Applied Energy, Elsevier, vol. 282(PA).
    • Handle: RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315683
    DOI: 10.1016/j.apenergy.2020.116166
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    Cited by:

    1. Axel Bruck & Santiago Díaz Ruano & Hans Auer, 2021. "A Critical Perspective on Positive Energy Districts in Climatically Favoured Regions: An Open-Source Modelling Approach Disclosing Implications and Possibilities," Energies, MDPI, vol. 14(16), pages 1-25, August.
    2. Schmitt, Carlo & Schumann, Klemens & Kollenda, Katharina & Blank, Andreas & Rebenaque, Olivier & Dronne, Théo & Martin, Arnault & Vassilopoulos, Philippe & Roques, Fabien & Moser, Albert, 2022. "How will local energy markets influence the pan-European day-ahead market and transmission systems? A case study for local markets in France and Germany," Applied Energy, Elsevier, vol. 325(C).
    3. Zwickl-Bernhard, Sebastian & Auer, Hans, 2022. "Demystifying natural gas distribution grid decommissioning: An open-source approach to local deep decarbonization of urban neighborhoods," Energy, Elsevier, vol. 238(PB).
    4. Axel Bruck & Luca Casamassima & Ardak Akhatova & Lukas Kranzl & Kostas Galanakis, 2022. "Creating Comparability among European Neighbourhoods to Enable the Transition of District Energy Infrastructures towards Positive Energy Districts," Energies, MDPI, vol. 15(13), pages 1-21, June.
    5. Ghaemi, Zahra & Tran, Thomas T.D. & Smith, Amanda D., 2022. "Comparing classical and metaheuristic methods to optimize multi-objective operation planning of district energy systems considering uncertainties," Applied Energy, Elsevier, vol. 321(C).
    6. Luan Santos & Karl Steininger & Marcelle Candido Cordeiro & Johanna Vogel, 2022. "Current Status and Future Perspectives of Carbon Pricing Research in Austria," Sustainability, MDPI, vol. 14(15), pages 1-28, August.
    7. Yamaguchi, Yohei & Shoda, Yuto & Yoshizawa, Shinya & Imai, Tatsuya & Perwez, Usama & Shimoda, Yoshiyuki & Hayashi, Yasuhiro, 2023. "Feasibility assessment of net zero-energy transformation of building stock using integrated synthetic population, building stock, and power distribution network framework," Applied Energy, Elsevier, vol. 333(C).
    8. Roberto Gerundo & Alessandra Marra, 2022. "A Decision Support Methodology to Foster Renewable Energy Communities in the Municipal Urban Plan," Sustainability, MDPI, vol. 14(23), pages 1-22, December.

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