4.8 Article

Prediction of diffuse horizontal irradiance using a new climate zone model

Journal

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 110, Issue -, Pages 28-42

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2019.04.055

Keywords

Diffuse horizontal irradiance; Global horizontal irradiance; Direct normal irradiance; Clearness index; Diffuse fraction; Separation method

Funding

  1. FCT (the Portuguese Science and Technology Foundation) [SFRH/BD/136433/2018]
  2. European Union through the European Regional Development Fund
  3. COMPETE 2020 (Operational Program Competitiveness and Internationalization) through the ICT project [UID/GEO/04683/2013, POCI-01-0145-FEDER-007690]
  4. COMPETE 2020 (Operational Program Competitiveness and Internationalization) through the project DNI-Alentejo [ALT20-03-0145-FEDER-000011]
  5. Fundação para a Ciência e a Tecnologia [SFRH/BD/136433/2018] Funding Source: FCT

Ask authors/readers for more resources

Knowledge on the diffuse horizontal irradiance (DHI), and direct normal irradiance (DNI) is crucial for the estimation of the irradiance on tilted surfaces, which in turn is critical for photovoltaic (PV) applications and for designing and simulating concentrated solar power (CSP) plants. Since global horizontal irradiance (GHI) is the most commonly measured solar radiation variable, it is advantageous for establishing a suitable method that uses it to compute DHI and DNI. In this way, a new model for predicting the diffuse fraction (K-d) based on the climate zone is proposed, using only the clearness index (K-t) as the predictor and 1-min resolution GHI data. A review of the literature on models that use hourly and sub-hourly K-t values to compute K-d was also carried out, and an extensive performance assessment of both the proposed model and the models from the literature was conducted using ten statistical indicators and a global performance index (GPI). A set of model parameters was determined for each climate zone considered in this study (arid, high albedo, temperate and tropical) using 48 worldwide radiometric stations. It was found that the best overall performing model was the model proposed in this work.

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