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A method for generating synthetic hourly solar radiation data for any location in the south west of Western Australia, in a world wide web page

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  • Laslett, Dean
  • Creagh, Chris
  • Jennings, Philip

Abstract

An algorithm was developed to generate synthetic hourly cloudiness data for any time of the year at any location in the south west region of Western Australia (WA). To enable the algorithm to be used for simulation of the power output of both tilted photovoltaic and concentrating solar power systems, a metric of cloudiness was defined which modifies the clear sky beam, diffuse and reflected solar transmittance. Seasonally and positionally adjusted values of daily cloudiness were generated by roughly mimicking the geographic pattern of annual rainfall in WA. Rather than longitude and latitude, distance along the coastline and distance inland from the coast were used as the positional coordinates. Hourly cloudiness data was generated from the daily values using a first order autoregression algorithm with time varying mean and standard deviation. Two years of measured hourly horizontal solar irradiance data from a network of 31 weather stations was used to calibrate the algorithm. The algorithm was simple enough to run inside a world wide web page and has the potential to be adapted to other regions with a similar pattern of declining inland rainfall.

Suggested Citation

  • Laslett, Dean & Creagh, Chris & Jennings, Philip, 2014. "A method for generating synthetic hourly solar radiation data for any location in the south west of Western Australia, in a world wide web page," Renewable Energy, Elsevier, vol. 68(C), pages 87-102.
    • Handle: RePEc:eee:renene:v:68:y:2014:i:c:p:87-102
    DOI: 10.1016/j.renene.2014.01.015
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    References listed on IDEAS

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    1. Muneer, T. & Younes, S. & Munawwar, S., 2007. "Discourses on solar radiation modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 551-602, May.
    2. Muneer, T. & Younes, S., 2006. "The all-sky meteorological radiation model: proposed improvements," Applied Energy, Elsevier, vol. 83(5), pages 436-450, May.
    3. Celik, A.N, 2002. "The system performance of autonomous photovoltaic–wind hybrid energy systems using synthetically generated weather data," Renewable Energy, Elsevier, vol. 27(1), pages 107-121.
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    1. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
    2. Laslett, Dean & Creagh, Chris & Jennings, Philip, 2016. "A simple hourly wind power simulation for the South-West region of Western Australia using MERRA data," Renewable Energy, Elsevier, vol. 96(PA), pages 1003-1014.
    3. Laslett, Dean & Carter, Craig & Creagh, Chris & Jennings, Philip, 2017. "A large-scale renewable electricity supply system by 2030: Solar, wind, energy efficiency, storage and inertia for the South West Interconnected System (SWIS) in Western Australia," Renewable Energy, Elsevier, vol. 113(C), pages 713-731.

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