研究目的
To calibrate existing models and develop new models for estimating daily total global solar radiation using maximum and minimum air temperatures, relative humidity, and relative humidity extremes in Irish and Dutch cities.
研究成果
The study concluded that the newly developed Ekici models, based on relative humidity and temperature extremes, showed better performance in error analyses compared to existing models. These models provided more accurate estimations of daily total global solar radiation for the studied cities, with Model 4 showing the best performance due to its inclusion of saturation vapor pressure as an additional parameter.
研究不足
The study is limited by the geographical scope (Irish and Dutch cities) and the time frame of the data (2008 to first half of 2016). The models may not perform as well in winter months due to cloudy conditions affecting solar radiation prediction accuracy.
1：Experimental Design and Method Selection:
The study involved calibrating existing models (Hargreaves, Allen, Bristow-Campbell, Chen) and developing new models based on temperature extremes and relative humidity for estimating solar radiation.
2：Sample Selection and Data Sources:
Meteorological data from Irish and Dutch cities (Dublin, Eindhoven, Groningen, Maastricht, Rotterdam, Twente) were used, sourced from Royal Netherlands Meteorological Institute and Irish Meteorological Service.
3：List of Experimental Equipment and Materials:
Data included daily maximum and minimum temperatures, daily total global solar radiation, average daily relative humidity, and daily maximum and minimum relative humidity values.
4：Experimental Procedures and Operational Workflow:
Models were applied to the data, and their performance was evaluated using error tests (MPE, MBE, RMSE, NSE).
5：Data Analysis Methods:
Error analyses were performed to compare model performances, with monthly MPE errors calculated for each model.
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