Renewable Energy Communities (RECs) are emerging as key contributors to grid decarbonization and energy poverty alleviation. This study explores the simulation of a REC in central Italy using real hourly-measured data, and compares the results with simulations based on groups of data with different levels of aggregation. As expected, results reveal that the estimation of hourly shared energy based on aggregated data exhibits limitations, leading to information loss and unrealistic scenarios. Despite the need to refine methodologies for estimating hourly consumption data from aggregated sources, and the urgency for further exploration of diverse REC case studies to enhance understanding and control strategy development, the study shows that monthly data divided by bands offer a close approximation at both monthly and annual levels.

Impact of Power Consumption at Various Aggregation Levels in REC Analysis: a Real Case Study Perspective

Consolo, Valentina
Primo
;
Rugani, Roberto;Mura, Elena;Raugi, Marco
2024-01-01

Abstract

Renewable Energy Communities (RECs) are emerging as key contributors to grid decarbonization and energy poverty alleviation. This study explores the simulation of a REC in central Italy using real hourly-measured data, and compares the results with simulations based on groups of data with different levels of aggregation. As expected, results reveal that the estimation of hourly shared energy based on aggregated data exhibits limitations, leading to information loss and unrealistic scenarios. Despite the need to refine methodologies for estimating hourly consumption data from aggregated sources, and the urgency for further exploration of diverse REC case studies to enhance understanding and control strategy development, the study shows that monthly data divided by bands offer a close approximation at both monthly and annual levels.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1282449
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