On the temporal modelling of solar photovoltaic soiling: energy and economic impacts in seven cities

You, S. , Lim, Y. J., Dai, Y. and Wang, C.-H. (2018) On the temporal modelling of solar photovoltaic soiling: energy and economic impacts in seven cities. Applied Energy, 228, pp. 1136-1146. (doi: 10.1016/j.apenergy.2018.07.020)

Abstract

This work developed a framework to predict the energy and economic impacts of solar photovoltaic soiling. This framework includes the effects of relative humidity, precipitation and tilt angle on solar photovoltaic soiling. A concept of relative net-present value change was introduced to determine the optimal cleaning interval. The uncertainties in the economic analysis were accounted for using a Monte Carlo simulation method. The framework was used to study the soiling-induced efficiency and economic losses of solar photovoltaic modules in seven cities (i.e. Taichung, Tokyo, Hami, Malibu, Sanlucar la Mayor, Doha, and Walkaway). Overall, the efficiency loss (in ascending order) for Tokyo/Walkaway < Taichung < Sanlucar la Mayor < Malibu/Hami < Doha for a one-year study period. Doha experiences an efficiency loss over 80% for a 140-day exposure, while Tokyo has an efficiency loss less than 4% for a one-year exposure. Malibu has longest optimal cleaning intervals (70 days for manual cleaning and 49 days for machine-assisted cleaning) that leads to the relative net-present value changes of 1.7% and 1.1%. Doha has the shortest optimal cleaning intervals (23 days for manual cleaning and 17 days for machine-assisted cleaning) that leads to the relative net-present value changes of 21% and 19%. The work serves as an effective tool for designing optimal cleaning protocols for solar photovoltaic systems.

• Item Type: Articles
• Additional Information: This research program is funded by the National Research Foundation (NRF), Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) program. Grant Number R-706-001-101-281, National University of Singapore.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: You, Dr Siming
• Authors: You, S., Lim, Y. J., Dai, Y., and Wang, C.-H.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Applied Energy
• Publisher: Elsevier
• ISSN: 0306-2619
• ISSN (Online): 1872-9118
• Published Online: 07 July 2018
• Copyright Holders: Copyright © 2018 Elsevier Ltd.
• First Published: First published in Applied Energy 228:1136-1146
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher