This report provides a valuable resource for policy makers and researchers by collecting data on a range of quantitative innovation indicators on the costs and performance of renewable technologies, patents and standards.

Presentation on the insights of QI for GH2 project.

Market expansion for renewable mini-grids depends on establishing trustworthy quality infrastructure (QI). Smart technologies to integrate solar and wind power require international and national QI.

This report examines markets in Denmark, Germany and China. The analysis highlights the development of standards and the best practices for new markets to adopt. 

This handbook outlines the best practices to develop and implement Quality Infrastructure for solar PV and, based on case studies, offers quantified cost-benefit analysis for QI implementation at different stages of PV plant development. The data and analysis provides guidance for establishing proper QI mechanisms, showcased through successful experiences with utility-scale, distributed-generation and off-grid PV development in 11 countries. 

This guide is part of a series prepared by the International Renewable Energy Agency (IRENA) in the field of quality infrastructure (QI) for small-scale renew¬able energy technologies. Quality Infrastructure for Renewable Energy Technologies: Solar Water Heaters analyses the challenges and offers recommendations for developing QI for solar water heaters (SWHs), as well as highlighting the experiences of several countries in developing and implementing QI for SWHs. The SWH guide concludes by applying guidelines for incrementally developing QI to the particular case of SWH markets.

This guide is part of a series prepared by the International Renewable Energy Agency (IRENA) in the field of quality infrastructure (QI) for small-scale renew¬able energy technologies.

This guide is part of a series prepared by the International Renewable Energy Agency (IRENA) in the field of quality infrastructure (QI) for small-scale renew¬able energy technologies.

The Global Atlas for Renewable Energy provides access to a vast range of solar and wind resource maps created using different methodologies, with different spatial coverage and resolutions. Several datasets may overlap a single territory, and users can choose among several data sources. Yet this very versatility can pose a dilemma for the end-user over the main strengths and weaknesses of the available datasets, and which data is the most suitable to use.