Solar Radiation Estimation Algorithm and Field Verification in Taiwan
| Autor: | Hsin-Chuan Chen, Ping-Huan Kuo, Chiou-Jye Huang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Control and Optimization
Renewable Energy Sustainability and the Environment lcsh:T 020209 energy solar radiation Photovoltaic system Energy Engineering and Power Technology 02 engineering and technology Stability (probability) lcsh:Technology Electricity generation Mean absolute percentage error solar PV system Kriging Inverse distance weighting 0202 electrical engineering electronic engineering information engineering Radiation monitoring Environmental science Electrical and Electronic Engineering Engineering (miscellaneous) Algorithm Reliability (statistics) Energy (miscellaneous) inverse distance weighting algorithm |
| Zdroj: | Energies Volume 11 Issue 6 Energies, Vol 11, Iss 6, p 1374 (2018) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en11061374 |
| Popis: | The power generation potential of a solar photovoltaic (PV) power generation system is closely related to the on-site solar radiation, and sunshine conditions are an important reference index for evaluating the installation of a solar PV system. Meanwhile, the long-term operation and maintenance of a PV system needs solar radiation information as a reference for system performance evaluation. Obtaining solar radiation information through the installation of irradiation monitoring stations is often very costly, and the cost of sustaining the reliability of the monitoring system, Internet stability and subsequent operation and maintenance can often be alarming. Therefore, the establishment of a solar radiation estimation model can reduce the installation of monitoring stations and decrease the cost of obtaining solar radiation information. In this study, we use an inverse distance weighting algorithm to establish the solar radiation estimation model. The model was built by obtaining information from 20 solar radiation monitoring stations in central and southern Taiwan, and field verification was implemented at Yuan Chang Township town hall and the Tainan Liujia campus. Furthermore, a full comparison between Inverse Distance Weighting (IDW) and the Kriging method is also given in this paper. The estimation results demonstrate the performance of the IDW method. In the experiment, the performance of the IDW method is better than the Ordinary Kriging (OK) method. The Mean Absolute Percentage Error (MAPE) values of the solar radiation estimation model by IDW at the two field verifications were 4.30% and 3.71%, respectively. |
| Databáze: | OpenAIRE |
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