| 中文题名： | 西北地区光伏电站的植被-水-土耦合模拟与协同优化研究（博士后研究报告） |
| 姓名： | |
| 保密级别： | 公开 |
| 论文语种： | chi |
| 学科代码： | 0705Z1 |
| 学科专业： | |
| 学生类型： | 博士后 |
| 学位： | 工学博士 |
| 学位类型： | |
| 学位年度： | 2024 |
| 校区： | |
| 学院： | |
| 研究方向： | 能源环境管理 |
| 第一导师姓名： | |
| 第一导师单位： | |
| 提交日期： | 2024-06-26 |
| 答辩日期： | 2024-06-20 |
| 外文题名： | VEGETATION-WATER-SOIL NEXUS SIMULATION AND SYNERGISTIC OPTIMISATION OF PHOTOVOLTAIC POWER PLANTS IN NORTHWEST CHINA(postdoctoral research report) |
| 中文关键词： | |
| 外文关键词： | Solar photovoltaic ; northwest region ; vegetation-water-soil nexus ; co-benefit ; nexus model |
| 中文摘要： |
发展光伏产业是促进能源部门低碳转型及实现我国“碳达峰、碳中和”目标的重要举措。中国西北地区太阳能光伏开发潜力巨大，对区域气候、土壤、植被等产生影响，对生态系统造成复杂后果。由于缺乏实地调查数据和对生态系统的综合考虑，现有研究无法考察西北地区光伏开发对土壤和植物的影响。本研究以青海省共和县光伏产业园为研究区，开展野外样方调查；结合物种组成数据和环境因子，采用典型对应分析（canonical correspondence analysis，CCA）方法探讨光伏园内群落与各环境因子之间的关系。将光伏局部生态中的水文循环、植被生长环境、能量平衡、局部气候环境等关键生态过程或系统相互嵌套，构建光伏电站植被-水-土耦合模型，模拟各要素在光伏局部生态中的耦合过程；针对牧业光伏的经济与生态综合效益提出初步的核算框架并使用遗传算法进行理论优化，意在理清其效益组成结构。随后通过成本效益分析评估牧光互补项目的实施可行性，光伏的防风固沙生态效益基于修正的RWEQ风蚀模型，核算光伏建设对荒漠化地区实际风蚀量变化的影响；在HSPS情景下构造核算框架评估节水潜力。LCA和IO分析的混合用于评估太阳能光伏发电的耗水量。结合2030年水电、煤炭和核能需求潜力，基于GIS技术对区域太阳能光伏发电潜力进行研究，并采用情景分析和多目标优化模型对30个省8个部门的产业结构进行优化分析，比对优化前后区域能源与水资源的压力指数变化。结果表明: |
| 外文摘要： |
The growth of China's photovoltaic sector is crucial for its energy sector's low-carbon shift and the realization of "peak carbon and carbon neutrality" targets. The northwest region's significant potential for solar PV could profoundly affect the local climate, soil, and vegetation, yet the impacts on these aspects remain understudied due to limited data. This study, conducted in Gonghe County, Qinghai Province, employs field surveys and canonical correspondence analysis (CCA) to examine the relationship between plant communities and environmental factors within a PV park. The key ecological processes or systems in the local ecology of PV, such as hydrological cycle, vegetation growth environment, energy balance, local climate environment, etc., are nested with each other, and the vegetation-water-soil nexus model of PV power station is constructed to simulate the nexus process of each element in the local ecology of PV; An economic-ecological benefit framework for pastoral PV is proposed and optimized using genetic algorithms to clarify the benefits. The feasibility of pastoral PV projects is evaluated through cost-benefit analysis, and the ecological benefits in terms of wind and sand control are assessed using a modified wind erosion model. Additionally, an accounting framework assesses water-saving potential under the HSPS scenario, and a combination of LCA and IO analyses evaluates solar PV's water consumption. Considering the future demand for hydropower, coal, and nuclear energy, the study uses GIS technology to investigate regional solar PV potential and employs scenario analysis and multi-objective optimization to refine the industrial structure across provinces. This approach compares regional energy and water resource pressures before and after optimization, aiming to enhance efficiency and sustainability in the photovoltaic industry. The results show that. (1) The construction of photovoltaic power plants has a significant positive effect on the ecological restoration of alpine desert grasslands, which not only increases the vegetation species and biomass, improves the soil water content and nutrient level, but also promotes the growth of vegetation and soil improvement through the effects of shade and water retention, and strengthens the ecosystem diversity and stability. (2) The pasture-photovoltaic complementary mode has a high degree of spatial consistency in China's total level of radiation-sufficient area, the actual development area of animal husbandry and the area with high PV land conversion coefficient, which is highly feasible, and the promotion of it over a large area will bring considerable comprehensive benefits. In the desertified area of Northwest China, the construction of PV power plants causes damage to the regional land surface during the construction stage, but the sand-blocking ability of PV panels after completion significantly reduces the actual wind erosion in the desertified area of Northwest China. (3) The water use efficiency of PV power generation in the whole life cycle is high, especially the cleaning of PV panels contributes significantly to the overall water consumption. Through scenario simulation, it is expected that PV power generation will save a large amount of water for China by 2030. The optimisation and adjustment of industrial structure has a significant impact on energy and water consumption. By reasonably adjusting and optimising the industrial structure, not only can we effectively reduce the intensity of energy consumption and water consumption while guaranteeing sustainable economic growth, but we can also significantly improve the efficiency of energy and water resources, and achieve coordinated development of the economy and the environment. |
| 参考文献总数： | 101 |
| 作者简介： | 王赛鸽，北京师范大学博士后，国际系统应用研究所(IIASA)兼职研究员，博士毕业于北京师范大学环境学院。曾赴美国哈佛大学、美国佐治亚理工学院、日本名古屋大学、国际应用系统分析研究所（IIASA）等学术机构交流访问，现任中国生态学学会生态管理专业委员会副秘书长。（1）基金项目：主持项目4项，包括国家自然科学基金青年科学基金项目、国家自然科学基金委国际（地区）合作与交流项目、中国博士后科学基金特别资助（站前）项目、中国博士后科学基金面上资助项目，参与国家自然科学基金委重大项目、国际合作项目、科技部重点研发计划课题、中国科学院A类战略性先导科技专项等。（2）科研论文：2016年以来，在Environmental Impact Assessment Review、Applied Energy、Science of the Total Environment、Resources Policy、Journal of Environmental Management、资源科学、生态学报、自然资源学报等能源环境管理领域主流期刊发表论文31篇，其中，以第一/通讯作者在SCI中科院一区期刊发表论文14篇，其中3篇论文入选ESI高被引论文，1篇入选热点论文，单篇最高引用次数259次，在人民日报海外版等发表科普文章。Web of Science论文总被引用 1200余次，H指数20。（3）荣誉奖励：入选2023年中国生态学学会青年托举人才，2021年度未来女科学家计划候选人，2023年中国科协决策咨询专家团队青年研究员，2023年度管理科学与工程学会能源环境管理研究新秀，获得第一届中国科技青年论坛三等奖，曾获教育部高等学校科学研究优秀成果奖（科学技术）自然科学奖二等奖（排名第3）、金桥奖第三届三农科技服务金桥奖优秀项目（排名第4）等。 论文成果： [1] Saige Wang, Bin Chen. Energy-water nexus of urban agglomeration based on multiregional input-output tables and ecological network analysis: A case study of the Beijing-Tianjin-Hebei region. Applied Energy, 2016, 178:773-783. (SCI,中科院一区TOP, IF:11.2) (ESI高被引论文&热点论文) （引用次数：259） [2] Saige Wang, Fath Brain, Bin Chen. Energy–water nexus under energy mix scenarios using input–output and ecological network analyses, Applied Energy, 2019, 233, 827-839. (SCI,中科院一区TOP, IF:11.2) (ESI高被引论文) （引用次数：118） [3] Saige Wang, Xiaojie Zhu, Dan Song, Zongguo Wen, Bin Chen, Kuishuang Feng. Drivers of CO2 emissions from power generation in China based on modified structural decomposition analysis, Journal of Cleaner Production, 2019, 220, 1143-1155. (SCI,中科院一区TOP, IF: 11.1) （引用次数：87） [4] Saige Wang, Tao Cao, Bin Chen. Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China. Applied Energy, 2021, 299, 117294. (SCI,中科院一区TOP, IF: 11.2)（引用次数：14） [5] Saige Wang, Chenchen Zhai, and Yunxiao Zhang. Evaluating the Impact of Urban Digital Infrastructure on Land Use Efficiency Based on 279 Cities in China. Land. 2024.13, 4: 404. . (SCI,中科院二区, IF: 4.9) [6] Saige Wang, Bin Chen. Unraveling energy-water nexus paths in urban agglomeration: A case study of Beijing-Tianjin-Hebei. Applied Energy, 2021, 304, 117294. (SCI,中科院一区TOP, IF: 11.2) （引用次数：26） [7] Jiangqiang Chen, Saige Wang*, Honglin Zhong, Bin Chen*, Dan Fang. Assessing agricultural greenhouse gas emission mitigation by scaling up farm size: an empirical analysis based on rural household survey data. Science of the Total Environment, 2024,933, 173077. (SCI, 中科院一区TOP, IF: 9.8) [8] Saige Wang, Bin Chen. Three-Tier carbon accounting model for cities, Applied Energy, 2018, 229: 163-175. (SCI,中科院一区TOP, IF:11.2) （引用次数：28） [9] Anhua Zhou, Saige Wang*, Bin Chen*. Impact of new energy demonstration city policy on energy efficiency: Evidence from China. Journal of Cleaner Production, 422,138560, 2023. (SCI,中科院一区TOP, IF: 11.1) （引用次数：8） [10] Jiangqiang Chen, Dan Fang, Saige Wang*, Bin Chen*. Can premium subsidies for agricultural insurance promote risk protection on natural disasters? Evidence from China, Environmental Impact Assessment Review, 2024, (SSCI,中科院一区TOP, IF: 7.9) [11] Saige Wang, Yating Liu, Bin Chen. Multiregional input-output and ecological network analyses for regional energy-water nexus within China, Applied Energy, 2018, 227:353-364. (SCI,中科院一区TOP, IF:11.2) （引用次数：108） [12] Changyi Liao†, Saige Wang†(Co-first author), Yiyi Zhang, Dan Song. Driving forces and clustering analysis of provincial-level CO2 emissions from the power sector in China from 2005-2015. Journal of Cleaner Production, 2019, 240, 118026. (SCI,中科院一区TOP, IF: 11.1) （引用次数：65） [13] Yiyi Zhang, Jiake Fang, Saige Wang*, Huilu Yao *. Energy-water nexus in electricity trade network: A case study of interprovincial electricity trade in China. Applied Energy, 2020, 257, 113685. (SCI,中科院一区TOP, IF:11.2) (ESI高被引论文) （引用次数：52） [14] 周安华, 王赛鸽*. 中国新能源示范城市政策对新能源企业绿色创新的影响及其作用机制. 资源科学, 2023, 45 (12): 2463-2479. [15] 陈银花, 姜丰, 王赛鸽*, 陈彬. 基于系统动力学的北京市再生水系统潜力与网络特征分析. 生态学报, DOI：10.20103/j.stxb.202305221082. 2023. 科研项目： [1] 国家自然科学基金青年科学基金项目：“西北干旱区光伏电站能-水耦合机制及生态协同优化研究”，主持，2022.01-2024.12. [2] 中国博士后科学基金特别资助（站前）：“西北地区光伏电站建设植被-水-土耦合机制与协同效益研究”，主持，2020.07-2022.07. [3] 中国博士后科学基金面上资助：“荒漠化地区光伏电站的植被-水-土耦合机理及空间布局优化研究”，主持，2021.12-2023.12. |
| 馆藏地： | 图书馆学位论文阅览区（主馆南区三层BC区） |
| 馆藏号： | 博0705Z1/24029 |
| 开放日期： | 2025-06-27 |
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