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

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Bibliographic Details
Title: TwinP2G: A Software Application for Optimal Power-to-Gas Planning.
Authors: Skepetari, Eugenia1 (AUTHOR), Pelekis, Sotiris1 (AUTHOR), Koutalidis, Hercules1 (AUTHOR), Tzortzis, Alexandros Menelaos1 (AUTHOR), Kormpakis, Georgios1 (AUTHOR), Ntanos, Christos1 (AUTHOR), Askounis, Dimitris1 (AUTHOR)
Source: Future Internet. Oct2025, Vol. 17 Issue 10, p451. 18p.
Subject Terms: *Application software, *Cost benefit analysis, *Information sharing, Investment management, Hydrogen production, Energy infrastructure
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. [ABSTRACT FROM AUTHOR]
Database: Library, Information Science & Technology Abstracts
Description
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. [ABSTRACT FROM AUTHOR]
ISSN:19995903
DOI:10.3390/fi17100451