Segmentation of Deposition Periods: An Opportunity to Improve PV Soiling Extraction
Soiling profiles are commonly assumed to have sawtooth shapes, made of alternating cleaning events and soiling deposition periods. The rates at which soiling deposit on the PV modules are considered to be constant for each period. In reality, events such as changes in climatic conditions can lead to a sudden variation in soiling deposition rate. These changes cannot be reproduced if cleanings are the only events modelled to extract soiling profiles directly from PV performance data. For this reason, in this work, the use of change points and segmented regression is proposed to improve the extraction of soiling profiles through the model of up to two deposition rates per period in between cleanings. The results show that the quality of soiling extraction can be enhanced compared to a cleanings-only identification approach if both cleanings and change points are considered.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- DE-AC36-08GO28308
- OSTI ID:
- 1770904
- Report Number(s):
- NREL/CP-5K00-79411; MainId:33637; UUID:ed1f6a40-12c0-472a-b02b-b33c7aab094c; MainAdminID:19938
- Resource Relation:
- Conference: Presented at the 2020 47th IEEE Photovoltaic Specialists Conference (PVSC), 15 June - 21 August 2020, Calgary, Canada
- Country of Publication:
- United States
- Language:
- English
Similar Records
PV Module Soiling Spectral Deposition Detector (Final Report)
Automated detection of photovoltaic cleaning events: A performance comparison of techniques as applied to a broad set of labeled photovoltaic data sets