Integration of energy vectors is key to ensure cost-efficient inclusion of renewable energy sources into existing energy systems. Power to Gas technology (P2G) could contributes to the overall efficiency and balancing of the energy system with energy storage and transfer of green energy to end use sectors. Currently, regional commercial P2G-projects have not yet emerged due to different open issues. One of these is where can be more convenient and efficient installation of P2G plant both form the users and energy owners' point of view. For this reason, based on public but distributed sources of data of the Italian Smart Energy System, such as distributed generation of energy, power and gas grid information and cross-sectoral energy demand, a first version and evaluation for a planning tool for P2G plant geo-localization and sizing has been developed.
Development of a GIS Based Planning Tool for Electrolyzers Optimal Allocation
Aloisio, Davide;Brunaccini, Giovanni;Tumminia, Giovanni;Antonucci, Vincenzo;Ferraro, Marco;Sergi, Francesco
2022
Abstract
Integration of energy vectors is key to ensure cost-efficient inclusion of renewable energy sources into existing energy systems. Power to Gas technology (P2G) could contributes to the overall efficiency and balancing of the energy system with energy storage and transfer of green energy to end use sectors. Currently, regional commercial P2G-projects have not yet emerged due to different open issues. One of these is where can be more convenient and efficient installation of P2G plant both form the users and energy owners' point of view. For this reason, based on public but distributed sources of data of the Italian Smart Energy System, such as distributed generation of energy, power and gas grid information and cross-sectoral energy demand, a first version and evaluation for a planning tool for P2G plant geo-localization and sizing has been developed.File | Dimensione | Formato | |
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Development_of_a_GIS_Based_Planning_Tool_for_Electrolyzers_Optimal_Allocation.pdf
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Descrizione: Development of a GIS based planning tool for electrolyzers optimal allocation
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