| URN |
etd-0721111-121346 |
Statistics |
This thesis had been viewed 601 times. Download 0 times.
|
| Author |
Yu-Cheng Kuo |
| Author's Email Address |
No Public. |
| Department |
Institute of Industrial Management |
| Year |
2010 |
Semester |
2 |
| Degree |
Master |
Type of Document |
Master's Thesis |
| Language |
zh-TW.Big5 Chinese |
Page Count |
79 |
| Title |
The interpolation between Weather Bureaus for the national-wide terrain in PV system applications ---a case study on Taiwan |
| Keyword |
the weather cycle
climate change
solar radiation
PV system sizing
PV (photovoltaic)
PV (photovoltaic)
PV system sizing
solar radiation
climate change
the weather cycle
|
| Abstract |
Most of the researches in this field just have chosen a typical day or typical year data to do the optimal sizing of PV systems. But it is not practical to say that, in the future, it shall be in the same climate condition, especially we are now facing the climate change. This article adopted Professor Chen¡¦s Optimal PV System Sizing Theory, in which the factor of climate change has been considered. This thesis consists of the data of solar radiation from 1993 to 2009 ( 17 years) at the 22 Weather Bureaus in Taiwan, and analyzes the extremes of the solar radiation under the 22 stations to calculate the size of the PV systems. Because of the everlasting changes of the climate, as to PV application, if the same load references between two of the stations¡¦ long-term data got the same system configuration, then we affirm that these two stations have the same distribution of the solar energy. So it is a good indicator having the battery modules to be the reference ranges to the solar radiation at the stations. And it¡¦ll get an excellent approximation partition when adjacent observing stations with different allocations are divided by the line of geographical interpolation. To get the allocation reference map of the photovoltaic application in Taiwan area, each geography partition has been marked with different colors to get separate weather blocks. This map will provide accurate and statistically confidence reference for many PV applications without the local data of the solar radiation energy. As the factor of the long-term climate changes has been considered, we have confidence that the application could withstand the future climate changes. |
| Advisor Committee |
Shin-Guang Chen - advisor
Tai-Fu Yang - co-chair
|
| Files |
indicate not accessible |
| Date of Defense |
2011-06-24 |
Date of Submission |
2011-07-21 |
