Profitability of PV sharing in energy communities: Use cases for different settlement patterns

Fina, Bernadette; Auer, Hans; Friedl, Werner

doi:10.1016/j.energy.2019.116148

Cited by 87 publications

(39 citation statements)

References 55 publications

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“…• Research -for example see (Mountain, Percy, & Burns, 2020) -to estimate rooftop PV capacity in individual households for studies of network impacts of rooftop PV and Merit Order Effect studies. The model would be useful in extension to other recent research for example by empirical measurement of actual outcomes contemplated, for example in (Bernadette, Auer, & Friedl, 2019;Lazzeroni, Moretti, & Stirano, 2020;Li, Zhou, & Zheng, 2018).…”

Section: Discussion Applications and Further Developmentmentioning

confidence: 99%

A Model for the Estimation of Residential Rooftop PV Capacity

Mountain

2020

SSRN Journal

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Estimates of rooftop PV capacity, by region and postcode, is publicly available in Australia. However, data on individual households' rooftop photovoltaic (PV) capacity is not publicly available. This is valuable in price comparison and research, for example analysing the impact of rooftop solar in wholesale markets and on networks. We develop a model to estimate an individual household's rooftop PV capacity, using data on the household's estimated annual rooftop PV exports to the grid and its volume of annual grid electricity purchases. The model relies on simulated data of hypothetical rooftop PV systems, which are then used to estimate relationships between the variables. The model was found to reliably predict PV capacity in a test of 124 households where PV capacity was known. The model is useful in applications that require estimation of the relationship between annual measures of household grid electricity purchases, rooftop PV exports and rooftop PV capacity. This includes research into the impact of rooftop PV on wholesale market and network charges, and electricity price comparison. The model development and testing approach used here can be replicated in other locations but data on rooftop PV capacity for households in those locations will be needed for model verification.

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Section: Discussion Applications and Further Developmentmentioning

confidence: 99%

A Model for the Estimation of Residential Rooftop PV Capacity

Mountain

2020

SSRN Journal

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“…A difusão dos sistemas fotovoltaicos pode ser aplicada em apartamentos, áreas históricas com fachadas ornamentais, áreas rurais, ou seja, em diversos contextos no setor urbano (Fina et al, 2019). Os estudos de Fina e colaboradores (2019) apontaram que os métodos de otimização podem possuir objetivos distintos e dependem dos consumidores, como, por exemplo, a minimização de custos e a maximização do autoconsumo.…”

Section: Modelagem No Contexto Da Gestão Urbanaunclassified

“…Nesse contexto, a energia renovável é uma estratégia para a proteção do meio ambiente (Ike et al, 2020). Também, a inserção da geração de energia elétrica proveniente de fontes renováveis no setor urbano pode alcançar o desenvolvimento sustentável urbano e o equilíbrio energético (Fina et al, 2019), pois pode promover melhorias na sustentabilidade ambiental, o atendimento aos ODS e a mitigação das consequências ambientais (Ike et al, 2020), inclusive com relação aos efeitos negativos das emissões de carbono (Saidi & Omri, 2020) causados pelas fontes de energia fósseis (Uzar, 2020).…”

Section: Introductionunclassified

“…Atualmente, a aplicação dos painéis fotovoltaicos para o fornecimento de energia em indústrias e comércios, em residências, em edifícios e em atividades dos setores agrícolas (Fina et al, 2019;Lima et al, 2017) se destaca pelo aproveitamento de áreas subutilizadas em espaços produtivos (Corcelli et al, 2019), geralmente aplicados em telhados (Costanzo et al, 2018).…”

Section: Introductionunclassified

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Simulação computacional como ferramenta de otimização na geração de energia solar fotovoltaica

Imai

Bósio

Silva

et al. 2020

urbe, Rev. Bras. Gest. Urbana

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Resumo Nos últimos anos, o crescimento econômico e populacional causou um aumento na demanda de energia, o que, por consequência, impulsionou o desenvolvimento e as melhorias de sistemas de energia renovável, e em especial no Brasil, da energia proveniente de painéis fotovoltaicos. Diante deste cenário, este artigo objetivou otimizar o sistema de geração de energia solar fotovoltaica de uma empresa com a finalidade de contribuir com a matriz energética e o desenvolvimento sustentável urbano pela aplicação da modelagem matemática e simulação com o uso do software MATLAB® (versão 2018), por meio da análise de dados meteorológicos e das especificações do sistema de módulos, por um período de 12 meses. No total, foram apresentadas três simulações que otimizaram o sistema instalado. No entanto, foi possível ressaltar o melhor modelo proposto, que resultou em 75.220 kWh/ano de geração de energia e proporcionou um ganho de geração de 2,35%, correspondente a 8,58 dias a mais de geração em relação ao sistema instalado. Portanto, a simulação computacional como ferramenta de otimização na geração de energia solar fotovoltaica mostrou ser uma prática de gestão de recursos eficaz aplicada no contexto urbano, de modo a contribuir para o atendimento dos objetivos do desenvolvimento sustentável da Agenda 2030.

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“…The authors of [8] determine SCR and SSR for more than 2 000 Swedish households and find differences in SCR of more than 20 % for the same (relative) PV system and storage size. The authors of [9] focus on the profitability of PV in a municipal setting, but look at the aspect of communities of (mostly residential) buildings rather than municipal buildings. To the best knowledge of the authors, no studies specifically focusing on municipal buildings are yet available.…”

Section: Introductionmentioning

confidence: 99%

Profitability of photovoltaic and battery systems on municipal buildings

Hirschburger

Weidlich

2020

Renewable Energy

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The increasing gap between electricity prices and feed-in tariffs for photovoltaic (PV) electricity in many countries, along with the recent strong cost degression of batteries, led to a rise in installed combined PV and battery systems worldwide. The load profile of a property greatly affects the self-consumption rate and, thus, the profitability of the system. Therefore, insights from analyses of residential applications, which are well studied, cannot simply be transferred to other types of properties. In comparison to residential applications, PV is especially suitable for municipal buildings, due to their better match of demand and supply. In order to analyze the value of additional batteries, municipal PV battery systems of different sizes were simulated, taking load profiles of 101 properties as inputs. It was found that self-consumption differs significantly from households, while different types of municipal buildings are largely similar in terms of the indicators analyzed. The share of electricity consumed during summertime was found to have the most significant impact on the self-consumption rate for most considered system sizes. Due to lower electricity tariffs and lower increases in self-consumption provided through batteries in municipal buildings, the investment into a battery is not economically advantageous in most of the cases considered.

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Profitability of PV sharing in energy communities: Use cases for different settlement patterns

Cited by 87 publications

References 55 publications

A Model for the Estimation of Residential Rooftop PV Capacity

A Model for the Estimation of Residential Rooftop PV Capacity

Simulação computacional como ferramenta de otimização na geração de energia solar fotovoltaica

Profitability of photovoltaic and battery systems on municipal buildings

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