光伏产业与环境支撑体系的耦合协调研究

何兴, 王旭, 许野, 李薇, 张慧斌

太阳能学报 ›› 2023, Vol. 44 ›› Issue (9) : 194-203.

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (9) : 194-203. DOI: 10.19912/j.0254-0096.tynxb.2022-0724

光伏产业与环境支撑体系的耦合协调研究

  • 何兴, 王旭, 许野, 李薇, 张慧斌
作者信息 +

STUDY ON COUPLING COORDINATION BETWEEN PHOTOVOLTAIC INDUSTRY AND ENVIRONMENTAL SUPPORT SYSTEM

  • He Xing, Wang Xu, Xu Ye, Li Wei, Zhang Huibin
Author information +
文章历史 +

摘要

以光伏产业发展与环境支撑体系之间的协同关系评估为主要研究目标,在确定评价指标和利用层次分析法对其进行赋权的基础上,构建二者的耦合协调度模型,计算得到2014—2020年全国总协调度和各个地区的协调度。结果表明:在2014—2020年,全国光伏产业与环境支撑体系的总协调度呈逐年递增趋势;其中,海南与重庆的耦合协调度最低;甘肃、青海与西藏等地高度耦合。为了更好地评估全球气候变暖导致的辐照变化可能给光伏产业发展带来的影响,在运用区域气候模式PRECIS预测得到未来气候变化条件下(RCP4.5与RCP8.5两个情景)辐照量的基础上,计算了气候变化条件下2030—2060年全国总协调度和各个地区的协调度。相较于现状评估结果,未来辐照量的增加、光伏发电技术的不断发展和配套基础设施的逐渐完善,全国的总协调度和各个地区的协调度均高于现状值,在合理的政策支持和技术创新条件下,有望进一步达到高度耦合协调甚至是优质耦合协调状态。

Abstract

In this study, selecting the correlation evaluation between photovoltaic industry development and environment supporting system as the research object, the evaluation model of coupling coordination degree was formulated based on evaluation indicator system and analytic hierarchy process (AHP) method. As a result, the coordination degree at national and regional scale was identified. The obtained results demonstrated that the coordination degree at nationwide shows the growth trend from 2014 to 2020. As for various regions, the coordination degrees of Hainan Province and Chongqing Municipality were the lowest, conversely, those of Gansu, Qinghai and Tibet were at a high level. To better evaluate the possible influence of radiation change caused by global warming on the development of photovoltaic industry, the regional climate model (i. e. PRECIS) was used to predict the radiation quantity at two scenarios (i. e. RCP4.5 and RCP8.5) under climate change. The coordination degree at national and regional scale under climate change from 2030 to 2060 were calculated innovatively. Compared with current evaluation results, the coordination degree was increased as the increase in radiation, the improvement of photovoltaic power generation technology and the perfection of infrastructure. It is expected to realize high and even supper coupling coordination under the condition of reasonable policy support and technological innovation.

关键词

光伏发电 / 环境影响 / 层次分析法 / 耦合协调度 / 区域气候模式

Key words

PV power generation / environmental effects / analytic hierarchy process / coupling coordination degree / providing regional climates for impacts studies

引用本文

导出引用
何兴, 王旭, 许野, 李薇, 张慧斌. 光伏产业与环境支撑体系的耦合协调研究[J]. 太阳能学报. 2023, 44(9): 194-203 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0724
He Xing, Wang Xu, Xu Ye, Li Wei, Zhang Huibin. STUDY ON COUPLING COORDINATION BETWEEN PHOTOVOLTAIC INDUSTRY AND ENVIRONMENTAL SUPPORT SYSTEM[J]. Acta Energiae Solaris Sinica. 2023, 44(9): 194-203 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0724
中图分类号: TM615   

参考文献

[1] 贾东于, 李开明, 杨丽薇, 等. CMIP5气候模式对未来30年太阳辐射变化的预估研究[J]. 太阳能学报, 2020, 41(3): 199-205.
JIA D Y, LI K M, YANG L W, et al.Prediction of solar radiation variation in future by CMIP5 climate model[J]. Acta energiae solaris sinica, 2020, 41(3): 199-205.
[2] 王凯. 基于耦合协调度模型的中国能源与金融系统融合研究[D]. 太原: 山西财经大学, 2018.
WANG K.Study on the interaction of energy and finance systems in China based on the coupling coordination degree model[D]. Taiyuan: Shanxi University of Finance and Economics, 2018.
[3] 王丽川, 侯保灯, 周毓彦, 等. 城市水-能源-粮食耦合协调发展研究[J]. 水利水运工程学报, 2021(1): 9-17.
WANG L C, HOU B D, ZHOU Y Y, et al.Research on the coupling coordinative degree in urban water-energy-food system[J]. Hydro-science and engineering, 2021(1): 9-17.
[4] 李国柱, 黄琪骏. 京津冀能源-经济-环境-科技系统协调发展研究[J]. 统计与决策, 2021, 37(14): 129-131.
LI G Z, HUANG Q J.Study on coordinated development of energy-economy-environment-science and technology system in Beijing, Tianjin and Hebei[J]. Statistics & decision, 2021, 37(14): 129-131.
[5] 张璐. 绿色金融与新能源产业发展的耦合效应研究: 基于金融供给侧改革视角的实证分析[J]. 吉林工商学院学报, 2019, 35(1): 92-98.
ZHANG L.Research on coupling effect of green finance and new energy industry development-empirical analysis based on financial supply-side reform[J]. Journal of Jilin Business and Technology College, 2019, 35(1): 92-98
[6] 刘志雄, 王义魏. 我国能源技术进步与能源要素禀赋的耦合协调研究[J]. 生态经济, 2017, 33(10): 58-61, 125.
LIU Z X, WANG Y W.A study on the coupling coordination of energy technology progress and energy factor endowment in China[J]. Ecological economy, 2017, 33(10): 58-61, 125.
[7] 张俊忠. 河南新型城镇化与乡村治理耦合协调性分析[J]. 中国农业资源与区划, 2020, 41(10): 204-211.
ZHANG J Z.Analysis on the coordination analysis of new urban and rural governance in Henan[J]. Chinese journal of agricultural resources and regional planning, 2020, 41(10): 204-211.
[8] 毛良虎, 姜莹. 江苏光伏产业创新与企业绩效的耦合协调度研究[J]. 常州大学学报(社会科学版), 2016, 17(3): 65-71.
MAO L H, JIANG Y.A study of coupling degree between innovation and enterprise performance of Jiangsu PV industry[J]. Journal of Changzhou University(social science edition), 2016, 17(3): 65-71.
[9] 初楠臣, 张平宇, 吴相利, 等. 俄罗斯东部城镇化与生态环境协调发展的时空演变特征[J]. 生态学报, 2021, 41(24): 9717-9728.
CHU N C, ZHANG P Y, WU X L, et al.Spatiotemporal evolution characteristics of coordinated development between urbanization and ecological environment in eastern Russia[J]. Acta ecologica sinica, 2021, 41(24): 9717-9728.
[10] 李雷, 王通胜, 黄泓轩. 中国光伏产业发展质量的实证研究[J]. 中外能源, 2015, 20(7): 21-27.
LI L, WANG T S, HUANG H X.An empirical research on china’s photovoltaic industry development quality[J]. Sino-global energy, 2015, 20(7): 21-27.
[11] 尚丽萍. 全球光伏产业发展形势及预测[J]. 太阳能, 2020(5): 16-22.
SHANG L P.Global PV development situation and forecast[J]. Solar energy, 2020(5): 16-22.
[12] 汤晓晶. 中国能源消耗及能源强度的影响因素分析[D]. 重庆: 重庆大学, 2016.
TANG X J.The influence factors of China energy consumption and energy density[D]. Chongqing: Chongqing University, 2016.
[13] 李佳羽, 刘利民, 韩建华, 等. 典型化工园区VOCs排放控制技术的评价[J]. 化工进展, 2016, 35(4): 1250-1256.
LI J Y, LIU L M, HAN J H, et al.Evaluation of VOCs emission control technologies in typical chemical industry park[J]. Chemical industry and engineering progress, 2016, 35(4): 1250-1256.
[14] 韩乐琼, 韩哲, 李双林. 不同代表性浓度路径(RCPs)下21世纪长江中下游强降水预估[J]. 大气科学学报, 2014, 37(5): 529-540.
HAN L Q, HAN Z, LI S L, et al.Projection of heavy rainfall events in the middle and lower reaches of the Yangtze River valley in the 21st century under different representative concentration pathways[J]. Transactions of atmospheric sciences, 2014, 37(5): 529-540.
[15] 陈可可. 中国省际能源强度影响因素差异分析及预测研究[D]. 北京: 华北电力大学, 2020.
CHEN K K.Research on differences in influencing factors and interprovincial energy intensity prediction in China[D]. Beijing: North China Electric Power University, 2020.

基金

国家重点研发计划(2018YFE0208400),国家电网有限公司总部科技项目《面向跨境互联的多能互补新型能源系统关键技术研究》

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