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Detalhes Referência

Tipo
Artigos em Conferência

Tipo de Documento
Artigo Completo

Título
Leveraging Electric Load Data and Grid Features to Design High-PV Penetration in Rural and Urban Settings in Portugal

Participantes na publicação
G. Luz (Author)
cE3c
 IDL
 R. Amaro e Silva (Author)
cE3c/FCUL
 SESUL
 IDL
Resumo
Solar photovoltaics installed capacity is expected to grow in the next years as a result of decreasing costs and new regulation being approved at the European level. This pushes for more robust approaches in order to analyze the effects of photovoltaics on local distribution and optimal system designs to which energy modelling is a valuable computational research tool. In this work two datasets on Portuguese case studies (urban and rural) are explored using Calliope, an open-source multi-energy system modelling framework with the objective of designing high-photovoltaic penetration in self-consumption schemes. Results show similar self-consumption ratios in both locations but a tendency for increased are a use in urban case, although available area and grid capacity constraints are not limiting factors for the integration of photovoltaic systems. Calliope framework, when applied to these datasets, reveals a power and valuable tool for future assessments.

Data de Publicação
2020-10-28

Evento
37th European Photovoltaic Solar Energy Conference and Exhibition

Identificadores da Publicação
ISBN - 3936338736

Local
Online

Número de Páginas
6
Página Inicial
1859
Página Final
1864

Identificadores do Documento
DOI - https://doi.org/10.4229/EUPVSEC20202020-6BV.5.25
URL - 37th European Photovoltaic Solar Energy Conference and Exhibition
ISBN - 3-936338-73-6

Keywords
Photovoltaic (PV) Self-Consumption Energy Modeling Calliope Photovoltaic (PV) Self-Consumption Energy Modeling Calliope


Exportar referência

APA
G. Luz, R. Amaro e Silva, (2020). Leveraging Electric Load Data and Grid Features to Design High-PV Penetration in Rural and Urban Settings in Portugal. 37th European Photovoltaic Solar Energy Conference and Exhibition, 1859-1864

IEEE
G. Luz, R. Amaro e Silva, "Leveraging Electric Load Data and Grid Features to Design High-PV Penetration in Rural and Urban Settings in Portugal" in 37th European Photovoltaic Solar Energy Conference and Exhibition, Online, 2020, pp. 1859-1864, doi: 10.4229/EUPVSEC20202020-6BV.5.25

BIBTEX
@InProceedings{47057, author = {G. Luz and R. Amaro e Silva}, title = {Leveraging Electric Load Data and Grid Features to Design High-PV Penetration in Rural and Urban Settings in Portugal}, booktitle = {37th European Photovoltaic Solar Energy Conference and Exhibition}, year = 2020, pages = {1859-1864}, address = {Online}, publisher = {} }