中国不同气候区日总太阳辐射计算模型适用性分析及通用计算模型优化

周勇; 刘艳峰; 王登甲; 刘晓君

doi:10.19912/j.0254-0096.tynxb.2021-0217

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (9) : 1-7. DOI: 10.19912/j.0254-0096.tynxb.2021-0217

中国不同气候区日总太阳辐射计算模型适用性分析及通用计算模型优化

周勇^1,2, 刘艳峰², 王登甲², 刘晓君¹

作者信息 +

SUITABILITY OF MODELS FOR DAILY GLOBAL SOLAR RADIATION ESTIMATION IN DIFFERENT CLIMATIC ZONES OF CHINA AND OPTIMIZATION OF GENERAL MODELS

Zhou Yong^1,2, Liu Yanfeng², Wang Dengjia², Liu Xiaojun¹

Author information +

文章历史 +

摘要

利用中国5个气候区96个气象台站的1981—2010年的日值气象数据,对比分析12个基于日照百分率和12个基于温度的日总太阳辐射计算模型在不同气候区的适用性。采用判定系数（R²）、均方根误差（RMSE）、平均绝对误差（MABE）、平均误差（MBE）和全局性能系数（GPI）5个评价指标,确定各气候区最适宜的模型形式。以该模型为基准,建立适用于中国不同气候区的基于日照百分率和基于温度的日总太阳辐射通用计算模型。结果表明,三次方形式的基于日照百分率和基于日较差-平均温度的模型在各气候区计算精度均最高;以该模型为基础,建立适用于中国不同气候区的基于日照百分率和基于温度的日总太阳辐射通用计算模型,其平均R²分别为0.91和0.68。

Abstract

Using the daily meteorological data during 1981-2010 from 96 meteorological station in five different climatic zones of China, 12 sunshine-based and 12 temperature-based daily global solar radiation models were compared and analyzed to determine the suitability of these models in different climatic zones. Five evaluation indexes, including determination of coefficient （R²）, root mean square error （RMSE）, mean absolute bias error （MABE）, mean bias error （MBE） and global performance index （GPI）, were adopted to determine the optimal model forms in different climatic zones. Based on these models, the sunshine-based and temperature-based generalized global solar radiation estimation models suitable for different climatic zones of China were developed. The results showed that the cubic sunshine-based and temperature diurnal- and average temperature-based models performed the best in each zone, furthermore, the generalized models based on the two models yielded high accuracy with average R² of 0.91 and 0.68.

导出引用

周勇, 刘艳峰, 王登甲, 刘晓君. 中国不同气候区日总太阳辐射计算模型适用性分析及通用计算模型优化[J]. 太阳能学报. 2022, 43(9): 1-7 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0217

Zhou Yong, Liu Yanfeng, Wang Dengjia, Liu Xiaojun. SUITABILITY OF MODELS FOR DAILY GLOBAL SOLAR RADIATION ESTIMATION IN DIFFERENT CLIMATIC ZONES OF CHINA AND OPTIMIZATION OF GENERAL MODELS[J]. Acta Energiae Solaris Sinica. 2022, 43(9): 1-7 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0217

中图分类号： TU119+.2

参考文献

[1] ZHOU Y, WANG D J, LIU Y F, et al.Diffuse solar radiation models for different climate zones in China: model evaluation and general model development[J]. Energy conversion and management, 2019, 185: 518-536.
[2] LIU Y F, ZHOU Y, CHEN Y W, et al.Comparison of support vector machine and Copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: a case study in China[J]. Renewable energy, 2020, 146: 1101-1112.
[3] ANGSTROM A.Solar and terrestrial radiation[J]. Quarterly journal of the Royal Meteorological Society, 1924, 50: 121-126.
[4] PRESCOTT J A.Evaporation from a water surface in relation to solar radiation[J]. Transactions of the Royal Society of Australia, 1940, 64: 114-125.
[5] PAULESCU M, STEFU N, CALINOIU D, et al.Angstrom-Prescott equation: physical basis, empirical models and sensitivity analysis[J]. Renewable and sustainable energy reviews, 2016, 62: 495-506.
[6] YAO W X, ZHANG C X, WANG X, et al.A new correlation between global solar radiation and the quality of sunshine duration in China[J]. Energy conversion and management, 2018, 164: 579-587.
[7] 于瑛, 杨柳, 霍旭杰, 等. 日总辐射推算模型在中国的适用性研究[J]. 太阳能学报, 2018, 39(9): 2523-2529.
YU Y, YANG L, HUO X J, et al.Analysis of daily global radiation estimation models applicability in China[J]. Acta energiae solaris sinica, 2018, 38(9): 2523-2529.
[8] FAN J L, WU L F, ZHANG F C, et al.Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: a review and case study in China[J]. Renewable and sustainable energy reviews, 2019, 100: 186-212.
[9] 蔡元刚, 王明田, 蔡怡亨, 等. 利用地面气象资料建立四川省日总辐射计算模型[J]. 中国农业气象, 2019, 40(9): 543-556.
CAI Y G, WANG M T, CAI Y H, et al.Using surface meteorological data to establish daily total solar radiation calculation model for Sichuan province[J]. Chinese journal of agrometeorology, 2019, 40(9): 543-556.
[10] 张钰, 张昕烁, 黄珂. 用空气质量指数修正方法计算太阳日总辐[J]. 灯与照明, 2020, 44(4): 12-15.
ZHANG Y, ZHANG X S, HUANG K.Calculating total solar daily radiation by air quality index correction[J]. Light and lighting, 2020, 44(4): 12-15.
[11] SAUD S, JAMIL B, UPADHYAY Y, et al.Performance improvement of empirical models for estimation of global solar radiation in India: a k-fold cross-validation approach[J]. Sustainable energy technologies and assessments, 2020, 40: 100768.
[12] FENG Y, GONG D Z, JIANG S Z, et al.National-scale development and calibration of empirical models for predicting daily global solar radiation in China[J]. Energy conversion and management, 2020, 203: 112236.
[13] FAN J L, WANG X K, WU L F, et al.New combined models for estimating daily global solar radiation based on sunshine duration in humid regions: a case study in South China[J]. Energy conversion and management, 2018, 156: 618-625.
[14] MECIBAH M S, BOUKELIA T E, TAHTAH R, et al.Introducing the best model for estimation the monthly mean daily global solar radiation on a horizontal surface(Case study: Algeria)[J]. Renewable and sustainable energy reviews, 2014, 36: 194-202.
[15] MAKADE R G, CHAKRABARTI S, JAMIL B.Prediction of global solar radiation using a single empirical model for diversified locations across India[J]. Urban climate, 2019, 29: 100492.
[16] RIETVELD M R.A new method for estimating the regression coefficients in the formula relating solar radiation to sunshine[J]. Agricultural meteorology, 1978, 19: 243-252.
[17] BAHEL V, BAKHSH H, SRINIVASAN R.A correlation for estimation of global solar radiation[J]. Energy, 1987, 12: 131-135.
[18] AMPRATWUM D B, DORVLO A S S. Estimation of solar radiation from the number of sunshine hours[J]. Applied energy, 1999, 63: 161-167.
[19] ALMOROX J Y, HONTORIA C.Global solar radiation estimation using sunshine duration in Spain[J]. Energy conversion and management, 2004, 45: 1529-1535.
[20] BAKIRCI K.Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey[J]. Energy, 2009, 34: 485-501.
[21] TOUGRUL I T, TOUGRUL H.Global solar radiation over Turkey: comparison of predicted and measured data[J]. Renewable energy, 2002, 25: 55-67.
[22] SEN Z.Simple nonlinear solar irradiation estimation model[J]. Renewable energy, 2007, 32: 342-350.
[23] BAYRAKÇI H C, DEMIRCAN C, KEÇEBACS A. The development of empirical models for estimating global solar radiation on horizontal surface: a case study[J]. Renewable and sustainable energy reviews, 2018, 81: 2771-2782.
[24] CHEN R S, KANG E S, YANG J P, et al.Validation of five global radiation models with measured daily data in China[J]. Energy conversion and management, 2004, 45: 1759-1769.
[25] HARGREAVES G L, HARGREAVES G H, RILEY J P.Irrigation water requirements for Senegal River basin[J]. Journal of irrigation and drainage engineering, 1985, 111: 265-275.
[26] BRISTOW K L, CAMPBELL G S.On the relationship between incoming solar radiation and daily maximum and minimum temperature[J]. Agricultural and forest meteorology, 1984, 31: 159-166.
[27] FAN J L, CHEN B Q, WU L F, et al.Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions[J]. Energy, 2018, 144: 903-914.
[28] JAHANI B, DINPASHOH Y, NAFCHI A R.Evaluation and development of empirical models for estimating daily solar radiation[J]. Renewable and sustainable energy review, 2017, 73: 878-891.
[29] LIU Y F, ZHOU Y, WANG D J, et al.Classification of solar radiation zones and general models for estimating the daily global solar radiation on horizontal surfaces in China[J]. Energy conversion and management, 2017, 154: 168-179.
[30] 曹其梦, 于瑛, 杨柳. 太阳逐时总辐射计算模型适用性分析——以我国部分地区为例[J]. 太阳能学报, 2018, 39(4): 917-924.
CAO Q M, YU Y, YANG L.Applicability analysis of hourly total solar radiation calculation model——taking some regions of China as example[J]. Acta energiae solaris sinica, 2018, 39(4): 917-924.
[31] MILAN D, VLADIMIR N, DANIJELA D, et al.Review and statistical analysis of different global solar radiation sunshine models[J]. Renewable and sustainable energy reviews, 2015, 52: 1869-1880.