Bright, J, Crook, R and Taylor, PG orcid.org/0000-0001-7456-3744 (2016) Methodology to Stochastically Generate Synthetic 1-Minute Irradiance Time-Series Derived from Mean Hourly Weather Observational Data. In: Proceedings of the ISES Solar World Congress 2015. SWC 2015: ISES Solar World Congress, 08-12 Nov 2015, Daegu, South Korea. International Solar Energy Society , pp. 142-151. ISBN 978-3-981 4659-5-2
Abstract
Well geographically distributed high temporal resolution solar irradiance data is scarce, resulting in many studies using mean hourly irradiance time-series as an input. This research demonstrates that by taking readily available mean hourly meteorological observations of okta, wind speed, cloud height and atmospheric pressure; 1-minute resolution irradiance time-series that vary on a spatial dimension can be produced. The synthetic time-series temporally validates against observed 1-minute UK irradiance data with 99% K-S test confidence levels across 3 metrics of variability indices, ramp-rate occurrences and irradiance frequency. A new methodology is applied to existing research that produces two-dimensional cloud cover using a vector approach to add spatial correlation to irradiance time-series, as well as improvements to the clear-sky index calculations. The methodology is applied to a hypothetical configuration to demonstrate its capabilities.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Irradiance generation; Minute resolution; Resource modelling; Cloud edge enhancement |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Aug 2018 13:32 |
Last Modified: | 15 Aug 2018 13:36 |
Status: | Published |
Publisher: | International Solar Energy Society |
Identification Number: | 10.18086/swc.2015.07.02 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115735 |