TY - JOUR
T1 - 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
AU - Hong, Taehoon
AU - Yoo, Hyunji
AU - Kim, Jimin
AU - Koo, Choongwan
AU - Jeong, Kwangbok
AU - Lee, Minhyun
AU - Ji, Changyoon
AU - Jeong, Jaewook
N1 - Funding Information:
This research was supported by a grant ( 16CTAP-C117226-01 ) from Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure and Transport of Korean government .
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Integrated multi-objective optimization model
KW - Residence
KW - Solar lease business
KW - Third-party companies
KW - Trade-off problem
UR - http://www.scopus.com/inward/record.url?scp=85030457104&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2017.09.068
DO - 10.1016/j.rser.2017.09.068
M3 - Journal article
AN - SCOPUS:85030457104
SN - 1364-0321
VL - 82
SP - 824
EP - 836
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
ER -