全球清洁能源开发与投资研究（英文版）

定　　价：380 元

• 作者：全球能源互联网发展合作组织 著
• 出版时间：2020/11/1
• ISBN：9787519850920
• 出 版 社：中国电力出版社

• 中图法分类：F416.2 
• 页码：300
• 纸张：胶版纸
• 版次：1
• 开本：16开

内容简介

本报告是《全球清洁能源开发与投资研究》的英文版。
本报告作为系列成果中的总报告，一方面系统阐述了全球清洁能源资源评估与基地数字化宏观选址的技术路线和模型方法；另一方面立足全球视角，基于各大洲清洁能源资源评估和大型基地的深入分析，展示了全球清洁能源开发与投资的研究成果。
报告的第1章和第2章是研究的方法与数据，全面阐述了清洁能源资源评估和大型清洁能源发电基地宏观选址的方法体系、基础数据和数学模型。第3-5章系统展示了基于数字化方法的全球水能、风能和光伏资源评估与大型基地开发的研究成果。第6章是基地电力消纳和外送方案研究，综合分析了各洲电力供需趋势，提出了大型基地的送电方向与输电方式。第7章总结了全球清洁能源开发的投融资政策环境，提出了促进各大洲清洁发展的投融资建议。

编辑推荐

给出了全球较完整的体系化清洁能源资源评估方法与结果，提出了基地开发方案，并且展示了量化的技术经济指标，对于读者而言兼顾科普性、通识性以及专业性，满足不同读者的信息获取需求。

序 言

PREFACE
Energy is an important foundation for economic and social development. Mankind uses energy, historically we have converted energy sources from firewood to fossil such as coal, oil, and natural gas, to renewable energy such as hydro, wind and solar energy, every change is accompanied by a huge leap in productivity and major progress in human civilization. Energy, as the driving force for the development of modern society, contributes to the nation’s economy and its citizens’ interactive dynamic, as well as to their welfare. The massive development and use of traditional fossil energy has led to increasingly prominent problems such as resource shortages, environmental pollution, and climate change, which seriously threaten human survival and sustainable development. In essence, the core of sustainable development is clean development. The key is to promote renewable energy, and replace fossil energy with renewable energy such as solar, wind, and hydropower.

Scientific and accurate quantitative assessment of resources is the critical foundation for large-scale development and utilization of renewable energy. At present, the globally installed capacity of hydro, wind and solar power has exceeded 30% of the installed capacity of power sources. Although some achievements have been made in the development of renewable energy, there is still potential for it to expand. Therefore, it is of great importance to conduct a fine assessment on resource reserves. On the basis of establishing and improving the global renewable energy resources database, the Global Energy Interconnection Development and Cooperation Organization (GEIDCO) has established an assessment system and digital fine assessment models for renewable energy resources. These models carry out systematic calculation and quantitative assessment of theoretical potential, technical potential installed capacity and economic potential installed capacity of hydro, wind and solar energies from a global perspective. An achievement of the Global Renewable-energy Exploitation ANalysis (GREAN) platform has been made, thereby the accuracy and timeliness of global renewable energy resources assessment will be effectively improved, subsequently providing an important support for large-scale development and utilization of renewable energy in relevant countries and regions.

Systematic and efficient macro site selection of power bases is an important prerequisite for large-scale development and utilization of renewable energy. The site selection of renewable energy power bases is related to the cost-effectiveness of power station development, which crucially contributes to economic development and the efficient utilization of renewable energy. There are many factors affecting the site selection of power bases, hence the site selection analyses and decision-making process are convoluted. The desk top study of site selection is often limited by the integrity and accuracy of data. Site selection must rely on site surveys, which requires a huge amount of manpower, financial resources and time. By taking into account factors such as global topography and terrain elevation, land covers, water systems, natural reserves, geology and historical seismic activity frequency, power supply and power grid, population and economy, GEIDCO has developed a set of basic database, models and tools for macro site selection for renewable energy power bases which significantly increase the breadth and depth of data collection and analysis processes, thereby, greatly improving the accuracy, economy and effectiveness of the desk top study of site selection, and achieving systematic achievements in promoting the development of global renewable energy resources. The data collected and analyzed by such models and tools are referred as “Reference Book” and “Data Manual” and used during the world’s energy strategy research and policy formulation.

Focusing on the world’s resource assessment and base development of all continents, GEIDCO has prepared a series of scientific reports on renewable energy development and investment globally, specifically in continents such as Asia, Europe, Africa, North America, Central and South America and Oceania. As the general report of achievements, the report, on one hand, systematically expounds the technical route and model method for global renewable energy resource assessment and digital macro site selection, and on the other hand, outlines the research achievements in a global perspective of renewable energy development and investment. In addition, it showcases the research data of renewable energy resource assessment and the detail analysis of investment results.

In this report, Chapters 1 and 2 present the research methods and data, which provide a comprehensive description of the methodology, key data and mathematical model used in preparing the renewable energy resource assessment and macro site selection of the power stations. Chapters 3, 4 and 5 systematically present the research achievements in global hydro, wind and photovoltaic resource assessment, and the large-scale base development using the digital methods. Chapter 6 presents the research on the power consumption and outbound transmission scheme of the bases, which comprehensively analyzes the power supply, demand trend of each continent, and puts forward the power transmission direction and mode. Chapter 7 summarizes the investment and financial policy environment of the global renewable energy development, and puts forward investment and financial suggestions to promote cleaner energy development across all continents.

The Global Renewable Energy Development and Investment series of reports made by the GEIDCO are committed to providing guidance and reference for the large-scale development and utilization of renewable energy around the world and accelerating the implementation of clean alternatives on the energy supply side. This report provides guidelines and acts as a reference guide for government departments, international organizations, energy enterprises, financial institutions, universities and relevant individuals who take part in renewable energy resource assessment, strategic research, project development, international cooperation, etc. However, due to the time constraints for data collection and report research writing timeframe, the contents may be incomplete. Comments and suggestions are welcome for further improvements.

作者介绍

全球能源互联网发展合作组织（简称合作组织），是由致力于推动世界能源可持续发展的相关企业、组织、机构和个人等自愿组成的国际组织。注册地设在北京。合作组织的宗旨是推动构建全球能源互联网，以清洁和绿色方式满足全球电力需求，推动实现联合国“人人享有可持续能源”和应对气候变化目标，服务人类社会可持续发展。合作组织将积极推广全球能源互联网理念，组织制定全球能源互联网发展规划，建立技术标准体系，开展联合技术创新、重大问题研究和国际交流合作，推动工程项目实施，提供咨询服务，引领全球能源互联网发展。

目 录

Digital Resource Assessment Methods??001
1.1 Technical Route??002
1.1.1 Assessment on Wind Energy Resources??003
1.1.2 Assessment on Wind Energy and Solar Energy Resources??004
1.2 Data and Calculation??008
1.2.1 Basic Data??008
1.2.2 Computing Technology??010
1.3 Assessment Model of Hydroenergy Resources??013
1.3.1 Theoretical Potential??013
1.3.2 Technical Potential Installed Capacity??014
1.3.3 Economic Potential Installed Capacity??015
1.4 Assessment Model of Wind Energy Resources??016
1.4.1 Theoretical Potential??016
1.4.2 Technical Potential Installed Capacity??016
1.4.3 Economic Potential Installed Capacity??021
1.5 Assessment Model of Solar Energy Resources??029
1.5.1 Theoretical Potential??029
1.5.2 Technical Potential Installed Capacity??031
1.5.3
2
Economic Potential Installed Capacity??036
Macro Site Selection Method of Renewable Energy Bases??037
2.1 Technical Route??038
2.1.1 Ideas of Study??039
2.1.2 Data and Algorithm??041
2.2 Quantitative Judgment Model for Selection of Bases??044
2.2.1 Quantitative Model??044
2.2.2 Example Analysis??047
2.3 Digital Site Selection of Hydropower Stations??050
2.3.1 Method Process??050
2.3.2 Extraction of Digital River Networks??051
2.3.3 Selection of Planned Reaches??053
2.3.4 Analysis of Restrictive Factors??054
2.3.5 Proposed Layout of Hydropower Station??054
2.3.6 Calculation of the Main Parameter Index??055
2.3.7 Drawing of Result Figures and Tables??056
2.4 Digital Site Selection of Wind Power Stations??057
2.4.1 Method Process??057
2.4.2 Analysis of Wind Energy Resource Data??057
2.4.3 Analysis of Restrictive Factors??058
2.4.4 Equipment Selection and Automatic Layout Scheme??059
2.4.5 Calculation of the Main Parameter Indicator??063
2.5 Digital Site Selection of Photovoltaic Power Stations??065
2.5.1 Method Process??065
2.5.2 Analysis of Solar Radiation Data??065
2.5.3 Analysis of Restrictive Factors??066
2.5.4 Equipment Selection and Automatic Arrangement??066
2.5.5 Calculation of the Main Parameter Indicator??068
2.6 Investment Estimation Method of Renewable Energy Base??070
2.6.1 Model and Method??071
2.6.2
3
Results and Verification??075
Hydroenergy Resources Assessment and Development??079
3.1 Basic Conditions??080
3.1.1 Distribution of Water Systems??081
3.1.2 Hydrological Data??084
3.1.3 Land Covers??088
3.1.4 Geological Conditions??089
3.2 Resource Assessment??096
3.2.1 Dverview of Hydroenergy Resources??096
3.2.2 Assessment Results??096
3.2.3 Assessment Case of River Basins??102
3.3 Base Development??106
3.3.1 Development Status??106
3.3.2 Layout of Bases??108
3.3.3
4
Case of Site Selection of Bases??113
Wind Energy Resources Assessment and Development??123
4.1 Basic Conditions??124
4.1.1 Distribution of Wind Speeds??125
4.1.2 Land Covers??125
4.1.3 Distribution of Conservation Areas??129
4.1.4 Transportation Facilities??132
4.1.5 Grid Facilities??136
4.2 Resource Assessment??142
4.2.1 Theoretical Potential??142
4.2.2 Technical Potential Installed Capacity??143
4.2.3 Development Cost??148
4.2.4 Assessment Case of Countries??152
4.3 Base Development??155
4.3.1 Development Status??155
4.3.2 Layout of Bases??157
4.3.3
5
Case of Site Selection of Bases??169
Solar Energy Resources Assessment and Development??175
5.1 Basic Conditions??176
5.1.1 Distribution of Global Horizontal Irradiance??177
5.1.2 Land Covers??177
5.1.3 Distribution of Terrains??180
5.2 Resource Assessment??186
5.2.1 Theoretical Potential??186
5.2.2 Technical Potential Installed Capacity??187
5.2.3 Development Cost??192
5.2.4 Assessment Case of Countries??196
5.3 Base Development??199
5.3.1 Development Status??199
5.3.2 Layout of Bases??201
5.3.3
6
Case of Site Selection of Bases??212
Outbound Transmission of Large Renewable Energy Bases??217
6.1 Forecast of Electricity Demand??218
6.2 Deep Electric Energy Substitution??223
6.2.1 Hydrogen Production and Hydrogen Energy Utilization for Clean
Electricity??223
6.2.2 Seawater Desalination and Ecological Restoration??228
6.3 Backbone Grid of Global Energy Interconnection??230
6.3.1 Power Delivery Direction??230
6.3.2 Target Grid??231
6.3.3 Construction Scheme for 2035??235
6.4 Asia??237
6.4.1 Power Delivery Direction??237
6.4.2 Power Transmission Scheme??238
6.5 Europe??239
6.5.1 Power Delivery Direction??239
6.5.2 Power Transmission Scheme??240
6.6 Africa??241
6.6.1 Power Delivery Direction??241
6.6.2 Power Transmission Scheme??242
6.7 North America??243
6.7.1 Power Delivery Direction??243
6.7.2 Power Transmission Scheme??244
6.8 Central and South America??245
6.8.1 Power Delivery Direction??245
6.8.2 Power Transmission Scheme??246
6.9 Oceania??248
6.9.1 Power Delivery Direction??248
6.9.2
7
Power Transmission Scheme??249
Policy Environment and Investment and Financing Suggestions??251
7.1 Overview of Global Investment and Financing Policies??252
7.2 Policy Environment and Investment and Financing Suggestions for Each Continent??257
7.2.1 Asia??257
7.2.2 Europe??260
7.2.3 Africa??262
7.2.4 North America??265
7.2.5 Central and South America??267
7.2.6 Oceania??269
EPILOGUE??271
Appendix Key Algorithms of Geographic Information Operation??273