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青海省清洁能源发电潜力及价值分析
引用本文:毛爱涵,李发祥,杨思源,黄婷,郝蕊芳,李思函,于德永.青海省清洁能源发电潜力及价值分析[J].资源科学,2021,43(1):104-121.
作者姓名:毛爱涵  李发祥  杨思源  黄婷  郝蕊芳  李思函  于德永
作者单位:1.北京师范大学地理科学学部,地表过程与资源生态国家重点实验室人与环境可持续性研究中心,北京 100875
2.三江源国家公园管理局,西宁 810001
3.北京林业大学水土保持学院,北京 100083
基金项目:国家第二次青藏科考项目(2019QZKK1001);青海省重大科技专项项目(2019-SFA12)。
摘    要:随着科技进步,清洁能源的开发利用成为缓解资源短缺、改善生态环境的重要途径,对清洁能源潜力进行量化评估,有助于有关部门制定合理的开发利用决策。本文基于模型模拟和空间分析等方法,对青海省水电势能、太阳能、风能、生物质能、地热能5种主要清洁能源的发电潜力及价值进行评估,得到了青海省主要清洁能源发电潜力的时空分布格局和数量统计特征。结果表明:①从时间上看,2000—2018年清洁能源发电潜力呈逐年增加趋势,空间分布格局变化不大,发电潜力较稳定。从空间上看,青海省西部清洁能源发电潜力相对较高,东部较低;州(市)尺度上,玉树州、海西州处于清洁能源发电潜力高值区,西宁市处于低值区;生态功能区尺度上,三江源地区处于清洁能源发电潜力高值区,祁连山地区处于低值区。②从清洁能源结构来看,青海省水电资源潜力最为丰富,2000—2018年水电势能平均发电潜力达到2338.41亿kW·h,其次是生物质能、地热能、太阳能和风能,且在实际应用中清洁能源在能源消费中的比重逐渐增大。③2000—2018年青海省清洁能源潜力平均价值为1887.75亿元,未来可获得的清洁能源的经济价值将随着中国碳市场的发展和清洁能源开发利用强度的增大而逐渐增长。本文为青海省相关部门了解省内清洁能源的现状和未来开发利用前景,制定清洁能源开发利用政策提供了重要依据。

关 键 词:清洁能源  太阳能  风能  水电势能  生物质能  地热能  生态文明  青海省  
收稿时间:2020-07-17
修稿时间:2020-12-18

Clean energy power generation potential and value in Qinghai Province
MAO Aihan,LI Faxiang,YANG Siyuan,HUANG Ting,HAO Ruifang,LI Sihan,YU Deyong.Clean energy power generation potential and value in Qinghai Province[J].Resources Science,2021,43(1):104-121.
Authors:MAO Aihan  LI Faxiang  YANG Siyuan  HUANG Ting  HAO Ruifang  LI Sihan  YU Deyong
Institution:1. Human and Environmental Sustainability Research Center, State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
2. Sanjiangyuan National Park Administration, Xining 810001, China
3. College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Abstract:With the progress of science and technology, the development and use of clean energy resources have become an important way to alleviate the shortage of traditional energy resources and improve the ecological environment. Quantitative assessment of the potential of clean energy resources will help relevant government departments to make scientific decisions on their development and use. Based on model simulation and spatial analysis methods, this study evaluated the potential and value of five major clean energy resources including solar energy, wind energy, hydroelectric potential energy, biomass energy, and geothermal energy in Qinghai Province, and obtained the spatial and temporal distribution pattern and the amount of the main clean energy resources in the province. The results show that:(1) Temporally, the power generation potential of clean energy was increasing year by year from 2000 to 2018. The spatial distribution pattern changed only slightly, and the power generation potential was stable. From a spatial point of view, the clean energy power generation potential in the west of Qinghai Province is relatively high, while that in the east is relatively low;on the prefectural(city) scale, Yushu Prefecture and Haixi Prefecture are in the high value area of clean energy power generation potential, while Xining City is in the low value area;on the scale of ecological function area, the Sanjiangyuan area is in the high value area of clean energy power generation potential, while the Qilian Mountains area is in the low value area.(2) From the perspective of clean energy structure, from 2000 to 2018,Qinghai Province has abundant hydropower resources, with an average power generation potential of 233.841 billion kWh, followed by biomass energy, geothermal energy, solar energy, and wind energy, and the proportion of clean energy in energy consumption is gradually increasing in practical application.(3) The average value of clean energy potential in Qinghai Province from 2000 to 2018 was 188.775 billion yuan. The economic value of clean energy obtained in the future will gradually increase with the development of China’s carbon market and the increase of clean energy development and use intensity. This study provided an important basis for Qinghai Province to understand the current status and future prospect of clean energy resource use in the province, as well as to formulate policies for the development and use of clean energy resources.
Keywords:clean energy  solar energy  wind energy  hydroelectric potential energy  biomass energy  geothermal energy  ecological civilization  Qinghai Province
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