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Ilaria Bendato

Researcher at University of Genoa

Publications -  14
Citations -  261

Ilaria Bendato is an academic researcher from University of Genoa. The author has contributed to research in topics: Microgrid & Energy management. The author has an hindex of 8, co-authored 14 publications receiving 222 citations.

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Energy Resources Intelligent Management using on line real-time simulation: A decision support tool for sustainable manufacturing

TL;DR: A new methodology capable of marrying industrial users’ instantaneous need for energy with the production capacity of Renewable Energy Sources, supplemented, when necessary, by energy created through self-production and possibly acquired from third-party suppliers is proposed in order to minimize CO2 emissions and company energy costs.
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Design criteria for the optimal sizing of integrated photovoltaic-storage systems

TL;DR: A methodology to choose the proper sizing of an integrated Photovoltaic unit and a storage architecture starting from the knowledge of the load and solar irradiance time profiles is proposed and an excellent agreement between the approaches is shown.
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A real-time Energy Management System for the integration of economical aspects and system operator requirements: Definition and validation

TL;DR: In this article, a real-time EMS able to manage uncertainties in the forecasting data as well as economical aspects and system operator requirements is proposed, where the economic aspects are performed by solving an optimization problem that minimizes the overall production cost and, therefore, fixes the active power set point for all the programmable units.
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Definition and on-field validation of a microgrid energy management system to manage load and renewables uncertainties and system operator requirements

TL;DR: In this paper, an Energy Management System (EMS) is proposed to be used in grid connected micro-grids to optimize the energy production/consumption of a microgrid.
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Stochastic techno-economic assessment based on Monte Carlo simulation and the Response Surface Methodology: The case of an innovative linear Fresnel CSP (concentrated solar power) system

TL;DR: In this article, an innovative methodology is developed that aims to combine technological solutions with investment profitability in designing both traditional and innovative renewable power plants by using regression meta-models built according to the theory of Response Surface Methodology.