Commercial Level Analysis of P2P vs. Net-Metering Comparing Economic and Technical Indexes

Esteban A. Soto, Alexander Vizcarrondo Ortega, Andrea Hernandez, L. Bosman
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Abstract

As photovoltaics (PV), also known as solar electricity, has been growing over the years, the energy markets have been gradually moving toward decentralization. However, recent media accusations suggest that decentralized renewable energy is slowly becoming unpopular because of the hidden fees being charged to owners of installed PV systems. In response, this paper investigates the potential for alternative approaches to incentivize owners using peer-to-peer (P2P) sharing. This study provides an analytical comparison between the use of the P2P mechanism, the net-metering mechanism, and a combination of these in the commercial sector. Through the use of a simulation, this case study presents the possible outcomes of the implementation of these models in a microgrid. Using technical and economic indexes the comparison was made by looking at the following indexes: peak power, energy balance, economic benefit, and transaction index. Based on a microgrid of 28 commercial buildings, readings of consumption were taken at intervals of one hour, and a Python model was made to find PV size and compare trading mechanisms. It was found that the combination of P2P and net-metering had the best overall performance, followed by net-metering itself, with the best season being all for both, and summer for net-metering by itself. This shows that a P2P model implemented in a microgrid helps create more energy balance, although the combination would achieve the highest performance. This study can be used by policymakers for proposing renewable energy policies and regulations that are more beneficial to all prosumers and consumers.
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P2P与净计量的商业层面分析比较经济技术指标
随着光伏发电(PV),也被称为太阳能发电,多年来一直在增长,能源市场也逐渐走向分散化。然而,最近的媒体指责表明,分散的可再生能源正慢慢变得不受欢迎,因为安装光伏系统的所有者要支付隐性费用。作为回应,本文研究了使用点对点(P2P)共享来激励所有者的替代方法的潜力。本研究分析比较了P2P机制、净计量机制以及二者在商业领域的结合。通过模拟,本案例研究展示了在微电网中实施这些模型的可能结果。采用技术经济指标,从峰值功率、能量平衡、经济效益、交易指标等方面进行比较。基于28个商业建筑的微电网,每隔一小时读取一次消费数据,并制作Python模型来查找PV大小并比较交易机制。结果表明,P2P与净计量相结合的综合效益最好,其次是净计量本身,两者的最佳季节为全部,单独净计量的最佳季节为夏季。这表明,在微电网中实现的P2P模型有助于创造更多的能量平衡,尽管这种组合将实现最高的性能。这项研究可以被政策制定者用来提出更有利于所有生产消费者和消费者的可再生能源政策和法规。
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