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Performance Indicators of Electricity Generation at Country Level—The Case of Italy

Author

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  • Michel Noussan

    (Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Roberta Roberto

    (Energy Technologies Department, ENEA—Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Research Center of Saluggia, Strada per Crescentino 41, 13040 Saluggia, Italy)

  • Benedetto Nastasi

    (Department of Architectural Engineering & Technology, Environmental & Computational Design Section, TU Delft University of Technology, Julianalaan 134, 2628BL Delft, The Netherlands)

Abstract

Power Grids face significant variability in their operation, especially where there are high proportions of non-programmable renewable energy sources constituting the electricity mix. An accurate and up-to-date knowledge of operational data is essential to guaranteeing the optimal management of the network, and this aspect will be even more crucial for the full deployment of Smart Grids. This work presents a data analysis of the electricity production at the country level, by considering some performance indicators based on primary energy consumption, the share of renewable energy sources, and CO 2 emissions. The results show a significant variability of the indicators, highlighting the need of an accurate knowledge of operational parameters as a support for future Smart Grid management algorithms based on multi-objective optimization of power generation. The renewable share of electricity production has a positive impact, both on the primary energy factor and on the CO 2 emission factor. However, a strong increase of the renewable share requires that the supply/demand mismatching issues be dealt with through appropriate measures.

Suggested Citation

  • Michel Noussan & Roberta Roberto & Benedetto Nastasi, 2018. "Performance Indicators of Electricity Generation at Country Level—The Case of Italy," Energies, MDPI, vol. 11(3), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:650-:d:136273
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    14. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Shamim, Tariq & Domenighini, Piergiovanni & Cotana, Franco & Wang, Jinwen & Fantozzi, Francesco & Bianchi, Francesco, 2023. "Transition toward net zero emissions - Integration and optimization of renewable energy sources: Solar, hydro, and biomass with the local grid station in central Italy," Renewable Energy, Elsevier, vol. 207(C), pages 672-686.
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    16. Ewa Chodakowska & Joanicjusz Nazarko & Łukasz Nazarko, 2021. "ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise," Energies, MDPI, vol. 14(23), pages 1-22, November.
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    18. Majidi Nezhad, M. & Groppi, D. & Marzialetti, P. & Fusilli, L. & Laneve, G. & Cumo, F. & Garcia, D. Astiaso, 2019. "Wind energy potential analysis using Sentinel-1 satellite: A review and a case study on Mediterranean islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 499-513.
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    21. Andrea Porcu & Stefano Sollai & Davide Marotto & Mauro Mureddu & Francesca Ferrara & Alberto Pettinau, 2019. "Techno-Economic Analysis of a Small-Scale Biomass-to-Energy BFB Gasification-Based System," Energies, MDPI, vol. 12(3), pages 1-17, February.
    22. Constantinos A. Balaras & Elena G. Dascalaki & Ioanna Psarra & Tomasz Cholewa, 2022. "Primary Energy Factors for Electricity Production in Europe," Energies, MDPI, vol. 16(1), pages 1-21, December.
    23. Michel Noussan & Francesco Neirotti, 2020. "Cross-Country Comparison of Hourly Electricity Mixes for EV Charging Profiles," Energies, MDPI, vol. 13(10), pages 1-14, May.

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