| Citation: | Shen Yanbo, Zhang Shunqian, Guo Peng, et al. Climatology calculation of solar energy resource in Sichuan Province. J Appl Meteor Sci, 2014, 25(4): 493-498.
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Using SMARTS to calculate clear-sky global radiation, fully thinking of the weaken effects of the altitude and the atmosphere, in terms of water vapor in atmosphere, meteorological visibility and O3 content, a climatology universal calculation equation on solar energy resource is established, which is based on the percentage of sunshine. This method is different from the calculation of solar energy resources using extraterrestrial radiation. Taken Sichuan Province as an example, results show that this method not only has unambiguous physical meaning, but also decreases the error of the calculating result obviously. 7-station annual value relative error is less than 7%, with the highest of 6.26% for Panzhihua and the lowest of-0.67% for Luzhou, the error is significantly lower than that in previous studies of Sichuan. Contrast with results from extraterrestrial radiation, not only the quantity but also discreteness of relative error decreases by more than a half. For the distribution of solar energy resources in Sichuan, it is large in the east part and low in the west part. From the change of each month, solar energy resources in the western plateau is relatively stable, the minimum monthly solar radiation for a maximum of 62% at Litang Station; solar energy resource in the east basin is fluctuant, the minimum monthly radiant exposure is only accounted for 22% of the maximum value at Zigong Station. The climatology universal calculation equation on solar energy resource can better resolve the problem of using the same calculation equation in the region which has complex topography and climate, avoiding the boundary discontinuity, effectively which is brought by using partition method in the past, and it is useful for special regional situations of huge relative altitude between the east part and the west part of China with obvious changes of dry and wet. This statistical equation is suitable for the calculation of solar energy resources, first of all, each input parameter on average is needed. If the equation is used to calculate the total radiation exposure radiation in a special month or a special year, it will result in great error.
Fig. 1 The correlation between percentage of sunshine and H/H1 at seven radiation stations in Sichuan Province
Fig. 2 The monthly global irradiation of Jan, Apr, Jul and Oct in Sichuan Province from 1981 to 2010(contour, unit: MJ·m-2)
Table 1 The contrast of calculated data and observed data of annual global irradiation at seven radiation stations from 1981 to 2010
| 辐射曝辐量 | 成都 | 泸州 | 绵阳 | 攀枝花 | 甘孜 | 峨眉山 | 红原 |
| 计算值/(MJ·m-2) | 3335.27 | 3305.88 | 3442.83 | 6175.19 | 6344.00 | 4752.27 | 6108.18 |
| 实测值/(MJ·m-2) | 3243.97 | 3328.06 | 3580.60 | 5811.18 | 6673.39 | 4682.51 | 6006.57 |
| 绝对误差/(MJ·m-2) | 91.31 | -22.18 | -137.76 | 364.01 | -329.39 | 69.77 | 101.61 |
| 相对误差% | 2.81 | -0.67 | -3.85 | 6.26 | -4.94 | 1.49 | 1.69 |
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Table 2 The relative deviation δ between calculated data from equation 2, equation 3 and observed data (unit:%)
| 统计项目 | 式 (2) | 式 (3) |
| δmax | 10.26 | 18.91 |
| δmin | -11.56 | -26.64 |
 | 4.24 | 9.71 |
| δSD | 5.02 | 11.21 |
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Table 3 The contrast of global irradiation calculated by difference environment of aerosol in Yaan Station
| 时间 | 乡村气溶胶/ (MJ·m-2) | 城市气溶胶/ (MJ·m-2) | 相对差值% |
| 1月 | 438.8 | 389.6 | 11.2 |
| 2月 | 510.2 | 463.7 | 9.1 |
| 3月 | 717.6 | 665.4 | 7.3 |
| 4月 | 814.4 | 764.6 | 6.1 |
| 5月 | 911.7 | 860.1 | 5.7 |
| 6月 | 902.0 | 857.8 | 4.9 |
| 7月 | 910.0 | 870.2 | 4.4 |
| 8月 | 848.2 | 808.1 | 4.7 |
| 9月 | 719.8 | 681.9 | 5.3 |
| 10月 | 604.2 | 564.8 | 6.5 |
| 11月 | 457.3 | 418.9 | 8.4 |
| 12月 | 404.0 | 361.8 | 10.5 |
| 年 | 8238.1 | 7706.8 | 6.5 |
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Figures(2) / Tables(3)
