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Performance based approach for electricity generation in smart grids

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  • Noussan, Michel

Abstract

The Power Grid balance requires the organization of multiple supply plants to match the electricity demand of the users’, starting from the most accurate forecasts available and with the need of continuous adjustments based on the actual demand profile. The power dispatching is currently based on a day-ahead wholesale market, which fixes an hourly price based on the offers and bids of producers and buyers. In this paper an alternative approach is proposed, with the integration of performance indicators of the electricity generation plants. Optimization algorithms at the base of Smart Grids operation could support a multi-objective approach that overcomes a simple economic optimum. The aspects that have been considered are the renewable energy share, the primary energy consumption, the global emissions (i.e. CO2) and the local emissions (i.e. NOX, CO, PM, etc.). A precise calculation of these performance indicators is proposed for three real natural gas combined cycles, and the results are compared with the average data for the electricity produced in Italy and supplied to the Power Grid. The strong variability of those indicators highlights the importance of performing detailed analyses with up-to-date actual operation data, as the evolution towards sustainability targets in Smart Grids require an integrated approach.

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  • Noussan, Michel, 2018. "Performance based approach for electricity generation in smart grids," Applied Energy, Elsevier, vol. 220(C), pages 231-241.
    • Handle: RePEc:eee:appene:v:220:y:2018:i:c:p:231-241
    DOI: 10.1016/j.apenergy.2018.03.092
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    4. Hamels, Sam & Himpe, Eline & Laverge, Jelle & Delghust, Marc & Van den Brande, Kjartan & Janssens, Arnold & Albrecht, Johan, 2021. "The use of primary energy factors and CO2 intensities for electricity in the European context - A systematic methodological review and critical evaluation of the contemporary literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).

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