Smart Grid Index

The Smart Grid Index (SGI) is a simple and quantifiable framework that measures smartness of power grids globally, in seven key dimensions.

The Smart Grid Index (SGI) is a simple and quantifiable framework that measures smartness of power grids globally, in seven key dimensions.

2020 Benchmarking Results

The 2020 SGI benchmarks a total of 85 utilities across 37 countries/markets.


Key Findings

Smart grid development is a priority for most utilities. Here are the highlights from the benchmarking results 2020:


Grid Development Progress


Utility players are developing smarter grids by embracing new technologies in response to industry challenges.

Globally, there is increasing focus on data analytics, with an average of more than 11 percentage points growth.

North American utilities continue to lead in smart grid development. As a region, they improved by 7 percentage points in Data Analytics.

Asia-Pacific utilities show biggest improvements in Data Analytics.

European utilities improved the most among the three regions. They made significant improvements in Data Analytics, DER Integration, Green Energy and Security.

Maturity Level by Region


All three regions have high maturity levels in Monitoring & Control and Customer Empowerment & Satisfaction.

North American utilities are most advanced globally in all dimensions except supply reliability.

North American utilities leads in Security, Data Analytics and DER integration by big margins.

European utilities have caught up with North American and Asia-Pacific utilities in Green Energy and Security respectively.

Best Practices by Dimensions


About Smart Grid Index

The Smart Grid Index (SGI) is a simple and quantifiable framework that measures smartness of power grids globally, in seven key dimensions. The framework assesses proxies of each dimension using publicly available information. The index guides utilities to build smarter grids and deliver better value to customers. From the benchmarking results, best practices can be identified, and shared among peer utilities to drive smart grid advancement.

Disclaimer:

We have arrived at the findings, opinions and conclusion set out in this paper based on application of our methodology to materials and information we believe to be accurate and reliable, and which are made available in the public domain at the time we carried out the relevant research and study. Despite our best efforts, the materials and information may include inaccuracies and errors. The findings, opinions and conclusion will be construed solely as statements of opinion on the matters addressed in this paper including the degree of grid smartness ratings and shall not in any way represent authoritative assessment or judgment on any such matters. You assume the sole risk of making use of and/or relying on the findings, opinions and conclusion made available in this paper. To the extent permitted by law, we disclaim liability to any person or entity for all and any liability, direct and indirect, special, consequential, incidental losses and damages whatsoever arising from or in connection with your access to or use of the findings, opinions and conclusions in this paper.

For questions or comments, please contact us at sgi@spgroup.com.sg.