Quantification of the Shared Energy in Energy Communities

Vladimir Z. Gjorgievski, Bodan Velkovski, S. Cundeva
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引用次数: 1

Abstract

The energy shared through collective self-consumption determines the economic savings of an energy community and the revenue losses of its electricity supplier. In this paper, we statistically explore this quantity, based on a sample of 200 hypothetical energy communities. It is found that a typical community shares (4.69 ± 1.26) % of the annual generation and demand, and, from the point of view of the electricity supplier, increases its self-consumption by (9.59 ± 2.89) %. At an annual level, the average energy shared per household is slightly lower than its average monthly electricity use. The results show that the shared energy per household increases with the size of the community, indicating that cooperation with new prosumers leads to an overall net-benefit. Finally, to address the challenge posed by the common lack of high-resolution data, the possibility of estimating the amount of energy shared in a community with a linear regression model, rather than calculating it with granular data, is briefly assessed.
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能源社区共享能量的量化研究
通过集体自我消费共享的能源决定了能源社区的经济节约和电力供应商的收入损失。在本文中,我们以200个假设的能源群落为样本,对这一数量进行了统计研究。研究发现,一个典型社区的年发电量和需求份额为(4.69±1.26)%,从供电方的角度来看,其自用电量增加了(9.59±2.89)%。在年度水平上,每个家庭的平均能源共享略低于其月平均用电量。结果表明,每户共享能源随着社区规模的增加而增加,这表明与新产消者的合作带来了总体净效益。最后,为了解决普遍缺乏高分辨率数据所带来的挑战,简要评估了用线性回归模型估计社区共享能量的可能性,而不是用颗粒数据计算能量。
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