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Advisor(s)
Abstract(s)
The recently approved regulation on Energy Communities in Europe is paving the way for
new collective forms of energy consumption and production, mainly based on photovoltaics. However,
energy modeling approaches that can adequately evaluate the impact of these new regulations
on energy community configurations are still lacking, particularly with regards to the grid tariffs
imposed on collective systems. Thus, the present work models three different energy community
configurations sustained on collective photovoltaics self-consumption for a small city in southern
Portugal. This energy community, which integrates the city consumers and a local winery, was
modeled using the Python-based Calliope framework. Using real electricity demand data from
power transformers and an actual winery, the techno-economic feasibility of each configuration
was assessed. Results show that all collective arrangements can promote a higher penetration of
photovoltaic capacity (up to 23%) and a modest reduction in the overall cost of electricity (up to 8%).
However, there are clear trade-offs between the different pathways: more centralized configurations
have 53% lower installation costs but are more sensitive to grid use costs (which can represent up to
74% of the total system costs). Moreover, key actor’s individual self-consumption rate may decrease
by 10% in order to benefit the energy community as a whole.
Description
Keywords
energy communities collective photovoltaic systems energy systems modeling and optimization
Pedagogical Context
Citation
Pontes Luz, G.; Amaro e Silva, R. Modeling Energy Communities with Collective Photovoltaic Self-Consumption: Synergies between a Small City and a Winery in Portugal. Energies 2021, 14, 323. https://doi.org/10.3390/en14020323
Publisher
MDPI