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首页> 外文期刊>Renewable & Sustainable Energy Reviews >A model for determining the optimal lease payment in the solar lease business for residences and third-party companies - With focus on the region and on multi-family housing complexes
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A model for determining the optimal lease payment in the solar lease business for residences and third-party companies - With focus on the region and on multi-family housing complexes

机译:一种用于确定住宅和第三方公司的太阳能租赁业务中最佳租赁付款的模型-重点关注该地区和多户住宅小区

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摘要

The solar lease business is a recent market trend that has been introduced in many countries. An example is the U.S. solar lease payment (LP) business, which is a payment facility for leasing the solar PV system, where the customers pay a certain amount to a third-party company. In the solar lease business, the profit obtained by residences and third-party companies depends on the solar LP. Several impact factors should be simultaneously considered when estimating the solar LP that guarantees the profitability of the business for both sides. This study aimed to develop a model for determining the optimal solar LP in the solar lease business for residences and third-party companies. A genetic algorithm was utilized to solve the trade-off problem, among the many factors involved. The optimal solar LP was provided according to two categories: (i) the electricity generation rate by region; and (ii) the electricity consumption rates of multi-family housing complexes. In terms of the region, the optimal solar LP depended on the electricity generation rate, and the difference between the highest and lowest monthly solar LPs per unit was US$0.30. In terms of the electricity consumption rate, the optimal solar LP depended on the electricity consumption rate and the number of units, and the difference between the highest and lowest monthly solar LPs per unit was US$3.14. The developed model makes it possible for the government to suggest the optimal solar LP for promoting the solar lease business, and to develop a solar PV system.
机译:太阳能租赁业务是最近在许多国家引入的市场趋势。一个例子是美国的太阳能租赁付款(LP)业务,这是一种用于租赁太阳能光伏系统的付款工具,客户在其中向第三方公司支付一定金额。在太阳能租赁业务中,住宅和第三方公司获得的利润取决于太阳能有限合伙人。在估算太阳能LP时,应同时考虑几个影响因素,以确保双方的业务盈利。本研究旨在开发一种模型,用于确定住宅和第三方公司的太阳能租赁业务中的最佳太阳能LP。在涉及的许多因素中,遗传算法被用来解决权衡问题。根据以下两个类别提供了最佳太阳能LP:(i)按地区的发电率; (ii)多户住宅综合体的用电量。就区域而言,最佳太阳能LP取决于发电量,每月最高和最低每月太阳能LP之间的差额为0.30美元。在用电量方面,最佳太阳能LP取决于用电量和单位数量,最高和最低每月太阳能LP之间的差额为3.14美元。开发的模型使政府有可能提出最佳的太阳能LP,以促进太阳能租赁业务,并开发太阳能光伏系统。

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