Calculate the global radiation of four cities (Seoul, Busan, Daejeon, Gwangju), where the global radiation is currently measured, by using the cloud amount data. For this, the coefficient of each location needed for global radiation calculation using the altitude of the sun and the cloud amount data in four cities has to be obtained. The global radiation calculated by applying the coefficient of each area will be compared with the global radiation actually measured.

30.4.1 Function of cloud amount and solar altitude for global radiation

Solar radiation coefficient was estimated using clouds amount and solar altitude from the four cities, of which solar radiation is currently measured. The data were first grouped into four seasons: March, April, May (spring), June, July, August (summer), September, October, November (autumn), and December, January, February (winter).

Within each season, the hourly values were assorted into classes of equal mean hourly solar elevation y by intervals of Ay =10°. The radiation data within each of these classes were then assorted according to total cloud amount N. Since the radiation data are hourly sums whereas the cloud are momentaneous observations at the end of the respective hour, only such cases were admitted when the reported cloud amount at the forgoing hour was identical to the hour under consideration (Kasten and Czeplak, 1979).

The clouds amount and solar radiation changes with the solar altitude are shown in Figs. 30.4- 30.7. For Seoul, G(N)/G(0), the proportion of clouds amount to change of solar radiation in cloudless day was observed increased from clouds amount N=1 octa and then decreased to the point of N= 5 octa. And at the point of N=8 octa it fell to approximately 0.25. In Busan, Gwangju, and Daejeon, G(N)/G(0) increased from the point of N=1 octa and then decreased to 0.23, 0.28, and 0.25 respectively, at the point of N=8 octa, which was similar to that of Seoul.

The overall changes of solar radiation with the clouds amount and the solar altitude over 20 years (1986-2005) were observed as large in y =10°, but in other solar altitude, it showed a gentle decrease. Also, global radiation under cloudless and overcast sky, G(0) and G(8), respectively, is plotted vs. sin r. Multiple reflection between atmosphere and snow covered-ground and less turbidity is supposed to be responsible for the slightly higher winter and spring values. On the yearly average, 20-30% of the incoming global radiation is transmitted through overcast (Kasten and Czeplak, 1979).

o.so

o.so

Fig. 30.4 Global radiation G as a function of total cloud amount N for different solar elevations r in the four seasons (from upper: spring, summer, fall, and winter) in korea.

Fig. 30.4 Global radiation G as a function of total cloud amount N for different solar elevations r in the four seasons (from upper: spring, summer, fall, and winter) in korea.

--20" |
---3D" | |

- -40 |
- 50 |
60 |

700 600 500 J 400 300 200 100 0

SOO SOO 700 600 500 400 300 200 100 0

10' |
--20" |
---3D" |
1 .50 | ||||||||||||||||||||||||||||||||||||||||||||||||||

- -40- |
- 50" |
6D" |
600 500 g 400 300 200 100 0 Fig. 30.6 Global radiation G as a function of total cloud amount N for different solar elevations r in the four seasons (from upper: spring, summer, fall, and winter) in Gwangju. 123 45678 N S 00 700 600 500 i 400 300 200 100 O 900 SOO 700 600 500 400 300 200 100 O 700 600 500 g 400 300 200 100 O 0.50 0.50 Fig. 30.7 Global radiation G as a function of total cloud amount N for different solar elevations r in the four seasons (from upper: spring, summer, fall, and Winter) in Daejeon. 30.4.2 Comparison of measured and calculated data The data calculated applying coefficient of each location as described above will be compared to the data calculated applying the original coefficient. It is to estimate the influence of the coefficient calculated applying geographical climatic factor on the global radiation calculated based on the cloud amount. A plot of hourly irradiance calculated using CRM (original and site-fitted coefficient) vs. measured values (Krarti and Huang, 2006) is shown in Fig. 30.10 for four cities of South Korea. The original coefficients are used as Hamburg coefficients (Muneer and Gul, 2000). The CRM relies heavily on one variable, the cloud amount, and generally underestimates global solar radiation when original or fitted model coefficients are used as clearly indicated by global solar radiation presented in Fig. 30.10. As a result of the comparison, in the case of Seoul, when the original coefficient and the site-fitted coefficient were applied, the R2 (coefficient of determination) values were 0.747, and 0.749, respectively, which showed some correlation between the two figures. In case of Busan, the figures were 0.817 and 0.819, respectively, which also showed strong correlation. For Gwangju, like the above two cities, R2 was reported as 0.618 and 0.622, respectively, showing that site-fitted coefficient produced higher determinant coefficient. Meanwhile, Daejeon's R2 was reported as 0.772 and 0.773, meaning both of the two cases are correlated, but the original coefficient produced very slightly higher result. These figures were re-evaluated through 'MAD.' Statistical evaluation of CRM based on original and site-fitted coefficients is presented in Table 30.3. A new performance indicator, the mean of absolute deviations (MAD), is also introduced herein. MAD is defined as where C is the calculated and M the measured irradiance; n denotes the number of observations (Gul et al., 1998). The estimated site-fitted coefficient from this study, as is shown in Table 30.2, was compared with the estimated solar radiation applying original coefficient from Hamburg to reveal the excellence of site-fitted figures, as is indicated in Table 30.3, except that of Daejeon. However, in the other regions, the calculated solar radiation by the Kasten and Czeplak (1979) suggestion was decently satisfactory.
Figure. 30.11 shows the monthly averaged global radiation calculated from CRM model. In the case of Ulsan, the coefficients were taken from the Seoul, Busan, Gwangju, Daejeon about 380, 55, 330, 360 km away from Ulsan, respectively. Ulsan is a location where the measurement of global radiation is not made. Accordingly, when global radiation is not measured, the coefficients of other locations have to be used checking how big the difference of each location is. As a result of checking above, it was noted that there were some differences between the result of calculation using the different coefficients of the locations near and far. In case of monthly average global radiation for 20 years, when the coefficients of four cities were applied, the difference shown was about 10-380 W/m2. Especially the site-fitted coefficient from Busan, of which cloud amount is relatively small, showed the tendency to produce larger solar radiation while the one from Seoul often produced largely reduced figures. However, Gwangju and Daejeon reported similar figures, that is, the regions other than Seoul did not show much difference in solar radiation estimation with the clouds amount. In addition, the tendency observed in Seoul seems to result from the regional characteristics, such as various developed industry and concentration of nearly 1/4 of Korean population. Therefore, for solar radiation estimation for Ulsan, where no solar radiation observation is conducted, site-fitted coefficient from Busan, which is located near Ulsan and also has similar cloud amount to Ulsan's, seems to be able to give more appropriate estimation than the coefficients from other regions.
Fig. 30.11 Monthly global solar radiation calculated from CRM model with site-fitted coefficients for Ulsan. Fig. 30.11 Monthly global solar radiation calculated from CRM model with site-fitted coefficients for Ulsan. |

Was this article helpful?

Start Saving On Your Electricity Bills Using The Power of the Sun And Other Natural Resources!

## Post a comment