This study presents the first attempt to explore the technical and financial feasibility of combining incentives for Italian Renewable Energy Communities (REC) with those for high-efficiency cogeneration. The community has local wooden biomass availability and was assembled around two prosumers: an industrial laundry with biomass-fuelled CHP and a school with photovoltaic panels. Other members include residential users. Electric loads were derived from available quarter-hour meters and electric bills. Thermal demand for the laundry was reconstructed from an energy audit. First, the CHP optimal mode of operation was selected among the two suggested by the manufacturer (matching the electric or the thermal load), providing energy, financial and environmental performance in both scenarios. Then the photovoltaic system of the school was sized. Finally, an optimal number of users was selected using a genetic algorithm, with financial performance of the REC as objective functions. Energy, economic and environmental impact performance of prosumers and REC are discussed, finding that the optimal configuration reduces CO2 emissions by 722 tons/year, with further 1360 tons/year coming from biomass combustion. In an optimal REC configuration members cut 250 €/year of electric bills, with an overall performance of 21 % in valorization of shared energy, while a social-focused REC can increase its NPV from 233 to 769 k€. The scenario can be applied to other prosumers with similar thermal demand and can be replicated or adjusted to local requirements.

Integration of photovoltaic panels and biomass-fuelled CHP in an Italian renewable energy community / Pizzuti, Isabella; Corsini, Alessandro; Delibra, Giovanni; Tajalli-Ardekani, Erfan. - In: ENERGY CONVERSION AND MANAGEMENT. X. - ISSN 2590-1745. - 24:(2024), pp. 1-18. [10.1016/j.ecmx.2024.100696]

Integration of photovoltaic panels and biomass-fuelled CHP in an Italian renewable energy community

Pizzuti, Isabella;Corsini, Alessandro;Delibra, Giovanni;Tajalli-Ardekani, Erfan
2024

Abstract

This study presents the first attempt to explore the technical and financial feasibility of combining incentives for Italian Renewable Energy Communities (REC) with those for high-efficiency cogeneration. The community has local wooden biomass availability and was assembled around two prosumers: an industrial laundry with biomass-fuelled CHP and a school with photovoltaic panels. Other members include residential users. Electric loads were derived from available quarter-hour meters and electric bills. Thermal demand for the laundry was reconstructed from an energy audit. First, the CHP optimal mode of operation was selected among the two suggested by the manufacturer (matching the electric or the thermal load), providing energy, financial and environmental performance in both scenarios. Then the photovoltaic system of the school was sized. Finally, an optimal number of users was selected using a genetic algorithm, with financial performance of the REC as objective functions. Energy, economic and environmental impact performance of prosumers and REC are discussed, finding that the optimal configuration reduces CO2 emissions by 722 tons/year, with further 1360 tons/year coming from biomass combustion. In an optimal REC configuration members cut 250 €/year of electric bills, with an overall performance of 21 % in valorization of shared energy, while a social-focused REC can increase its NPV from 233 to 769 k€. The scenario can be applied to other prosumers with similar thermal demand and can be replicated or adjusted to local requirements.
2024
clean energy transition, Renewable and thermal energy communities, Biomass-fuelled cogeneration, Economic performancepy, RES
01 Pubblicazione su rivista::01a Articolo in rivista
Integration of photovoltaic panels and biomass-fuelled CHP in an Italian renewable energy community / Pizzuti, Isabella; Corsini, Alessandro; Delibra, Giovanni; Tajalli-Ardekani, Erfan. - In: ENERGY CONVERSION AND MANAGEMENT. X. - ISSN 2590-1745. - 24:(2024), pp. 1-18. [10.1016/j.ecmx.2024.100696]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1722501
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