西非投资机会_并网和离网型太阳能和风能项目（英文版）_24页_997kb

Summary of Investment Opportunities in West Africa: Suitability Maps for Grid-Connected and Off-Grid Solar and Wind Projects

Core Content

This document presents a continent-wide pre-feasibility assessment of renewable energy investment opportunities in West Africa, focusing on grid-connected and off-grid solar and wind projects. It outlines the methodology and results of a suitability analysis using the IRENA Global Atlas for Renewable Energy, which provides high-resolution maps and technical potential estimates.

Main Points

• Renewable Energy Importance: With the adoption of the Paris Agreement, renewable energy is seen as a critical component of the global energy transition. IRENA aims to help world leaders increase the share of renewables to 36% of global final energy consumption by 2030.

• Suitability Maps: The IRENA Global Atlas offers detailed maps of renewable energy potential with 1 km resolution for wind and 3 km for solar, based on data from 67 countries and 50 data providers. These maps are used to identify suitable investment locations by combining multiple factors.

• Methodology: The analysis uses an opportunity-based approach rather than the traditional exclusion-based method. This involves assigning scores to various suitability dimensions (e.g., resource intensity, distance to power grids, population density, topography, land cover, and protected areas) and merging them into a single suitability value. The maps are created using a linear transfer function and are not weighted against each other for transparency and replicability.

• Technical Potential: The technical potential is calculated using a simple conversion method based on the assumption that 1% of the suitable surface area will be developed, with average installation densities of 4 MW/km² for wind and 30 MW/km² for solar. These values are used to estimate the potential capacity in gigawatts (GW).

• Grid Impact: The analysis includes two scenarios: one based on current grids and another considering planned grid extensions. The results show that grid development significantly increases the potential for both on-grid and off-grid projects, especially in wind.

• Regional Breakdown: The technical potential for wind and solar is categorized into sixty to one hundred percent suitability classes. The potential is higher in areas with greater suitability scores, with yellow, orange, and red representing different levels of suitability.

• Mali and Niger Exception: Due to their high solar irradiation and wind speeds, Mali and Niger are considered only for sites with suitability scores above 80% (off-grid) and 75% (grid-connected), respectively. This adjustment ensures the maps reflect the region's true potential without overestimating.

• Limitations and Recommendations: The maps are high-resolution but not definitive due to the sensitivity of input data and the lack of standardization in geospatial analysis. Users are advised to consider local conditions and conduct further detailed investigations for specific projects.

Key Information

• Suitability Dimensions:

  • Resource intensity
  • Distance to power grids
  • Population density
  • Land cover
  • Topography and slope
  • Protected areas

• Technical Potential Conversion Steps:

  1. Calculate the total surface area above a given suitability threshold.
  2. Assume a minor share (e.g., 1%) of the suitable surface will be developed.
  3. Multiply by average installation density (4 MW/km² for wind, 30 MW/km² for solar).
  4. Output the technical potential in GW.

• Maps and Data Availability:

  • Maps can be accessed and downloaded from the IRENA Global Atlas at: http://irena.masdar.ac.ae/?map=2742
  • Detailed values for each country and technology are also available.

• Spatial Resolution:

  • Wind data: 1 km resolution
  • Solar data: 3 km resolution
  • Grid data: Linear, validated over Google Maps with expected error less than 100 m
  • Population density: 1 km resolution
  • Topography and slope: Approx. 100 m resolution
  • Land cover: Approx. 300 m resolution
  • Protected areas: Polygon-based data

• Opportunity-Based Approach:

  • This method helps identify ideal development sites by combining multiple factors into a single suitability score.
  • It allows for strategic discussions with stakeholders and communities, and supports more accurate investment decisions.

• Future Implications:

  • The study emphasizes that technical potential estimates are not final and are subject to local conditions and validation.
  • It encourages iterative updates to the maps as more data becomes available.

Conclusion

IRENA's suitability maps and technical potential estimates provide a valuable tool for investors and policymakers to identify promising areas for renewable energy development in West Africa. These maps are high-resolution, based on a consistent methodology, and are intended to support strategic investment decisions rather than provide definitive technical potential values. The opportunity-based approach offers a more nuanced and detailed analysis than traditional exclusion methods, and is replicable across regions.