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TwinP2G: A Software Application for Optimal Power-to-Gas Planning

Author

Listed:
  • Eugenia Skepetari

    (Institute of Communication and Computer Systems, National Technical University of Athens, Patission 42, 10682 Athens, Greece)

  • Sotiris Pelekis

    (Institute of Communication and Computer Systems, National Technical University of Athens, Patission 42, 10682 Athens, Greece)

  • Hercules Koutalidis

    (Institute of Communication and Computer Systems, National Technical University of Athens, Patission 42, 10682 Athens, Greece)

  • Alexandros Menelaos Tzortzis

    (Institute of Communication and Computer Systems, National Technical University of Athens, Patission 42, 10682 Athens, Greece)

  • Georgios Kormpakis

    (Institute of Communication and Computer Systems, National Technical University of Athens, Patission 42, 10682 Athens, Greece)

  • Christos Ntanos

    (Institute of Communication and Computer Systems, National Technical University of Athens, Patission 42, 10682 Athens, Greece)

  • Dimitris Askounis

    (Institute of Communication and Computer Systems, National Technical University of Athens, Patission 42, 10682 Athens, Greece)

Abstract

This paper presents TwinP2G, a software application for optimal planning of investments in power-to-gas (PtG) systems. TwinP2G provides simulation and optimization services for the techno-economic analysis of user-customized energy networks. The core of TwinP2G is based on power flow simulation; however it supports energy sector coupling, including electricity, green hydrogen, natural gas, and synthetic methane. The framework provides a user-friendly user interface (UI) suitable for various user roles, including data scientists and energy experts, using visualizations and metrics on the assessed investments. An identity and access management mechanism also serves the security and authorization needs of the framework. Finally, TwinP2G revolutionizes the concept of data availability and data sharing by granting its users access to distributed energy datasets available in the EnerShare Data Space. These data are available to TwinP2G users for conducting their experiments and extracting useful insights on optimal PtG investments for the energy grid.

Suggested Citation

  • Eugenia Skepetari & Sotiris Pelekis & Hercules Koutalidis & Alexandros Menelaos Tzortzis & Georgios Kormpakis & Christos Ntanos & Dimitris Askounis, 2025. "TwinP2G: A Software Application for Optimal Power-to-Gas Planning," Future Internet, MDPI, vol. 17(10), pages 1-18, September.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:10:p:451-:d:1762147
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    References listed on IDEAS

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    1. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    2. Fambri, Gabriele & Diaz-Londono, Cesar & Mazza, Andrea & Badami, Marco & Sihvonen, Teemu & Weiss, Robert, 2022. "Techno-economic analysis of Power-to-Gas plants in a gas and electricity distribution network system with high renewable energy penetration," Applied Energy, Elsevier, vol. 312(C).
    3. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
    4. Ding, Xiaoyi & Sun, Wei & Harrison, Gareth P. & Lv, Xiaojing & Weng, Yiwu, 2020. "Multi-objective optimization for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid," Energy, Elsevier, vol. 213(C).
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