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

Eugenia Skepetari (), Sotiris Pelekis (), Hercules Koutalidis, Alexandros Menelaos Tzortzis, Georgios Kormpakis, Christos Ntanos and Dimitris Askounis
Additional contact information
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

Future Internet, 2025, vol. 17, issue 10, 1-18

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.

Keywords: power-to-gas; hydrogen; optimization; simulation; investments; software (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/17/10/451/pdf (application/pdf)
https://www.mdpi.com/1999-5903/17/10/451/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:17:y:2025:i:10:p:451-:d:1762147

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().