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

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.

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Publication Details

Journal
Future Internet
Published
2025-09-30
DOI
https://doi.org/10.3390/fi17100451
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

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

Dimitris Askounis, Αlexandros Menelaos Tzortzis, Sotiris Pelekis, Giorgos Kormpakis et al.
Future Internet
Integrated Energy Systems Optimization
article

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

Dimitris Askounis, Αlexandros Menelaos Tzortzis, Sotiris Pelekis, Giorgos Kormpakis, Christos Ntanos, Hercules Koutalidis, Eugenia Skepetari
article en

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.

Future InternetVol. 17(10)
National Technical University of Athens (GR), Institute of Communication and Computer Systems (GR)
Openalex Percentile: Top 73%
Integrated Energy Systems Optimization
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