4.7 Article

Rising targets to 55% GHG emissions reduction - The smart energy systems approach for improving the Italian energy strategy

Journal

ENERGY
Volume 259, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.125049

Keywords

Smart energy systems; EnergyPLAN; Decarbonisation; Sector coupling; National energy planning; Power-to-Gas

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The EU Commission has increased the GHG emissions reduction targets to at least 55% by 2030. A methodology based on the Smart Energy Systems (SES) approach has been proposed to improve the Italian national energy and climate plans (NECPs). The best scenario achieves the emissions reduction targets while lowering the annualized costs of the Italian energy system, but further increases in renewable energy capacity targets are needed.
The EU Commission raised the GHG emissions reduction targets from 40% to at least 55% by 2030, By the Fit for 55 package. Member States have to review their national energy and climate plans (NECPs) in a short-time. In order to elaborate guidelines for the Italian NECP improvement, a methodology based on the Smart Energy Systems (SES) approach has been proposed. The reference scenario has been modelled in EnergyPLAN. A Sectors' Implementation Matrix, consisting of eight sectors and three implementation levels, has been developed and the configurations have been simulated by means of MAT4EnergyPLAN. The best scenario accomplishes the 55% emissions reduction targets along with a lowering in the annualised costs of Italian energy system. The RES capacity targets must be increased by further 33 GW for PV and 16.6 GW for WIND. High end-uses electrification degree represents the priority in the next decade, so as to easily and cost-effectively integrate the variable-RES. An integrated energy system and the sector coupling even take priority over the RES installation in order to minimise the energy system decarbonisation costs. Finally, the present work contributes to demonstrate the need for the SES approach in the planning of energy systems with large-scale RES integration.

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