Smart grid contracts up 19% in Q3 2020

3 November 2020 (Last Updated November 3rd, 2020 07:13)

Smart grid contracts up 19% in Q3 2020

Smart grid contracts in Q3 2020 saw 64 contracts announced, marking a rise of 19% over the last four-quarter average of 54, according to GlobalData’s power industry contracts database.

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The proportion of contracts by category tracked by GlobalData in the quarter was as follows:

  1. Supply & Erection: 58 contracts and a 90.6% share
  2. Project Implementation: five contracts and a 7.8% share
  3. Consulting & Similar Services: one contract and a 1.6% share.

Europe leads smart grid activity in Q3 2020

Comparing contracts activity in smart grid segment in different regions of the globe, Europe held the top position with 36 contracts and a share of 56.3% during Q3 2020, followed by Asia-Pacific with 12 contracts and an 18.8% share and North America with nine contracts and a 14.1% share.

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Wind is leading technology for smart grid contracts in Q3 2020

Among the technologies, wind accounted for 13 contracts with a 59.1% share, followed by hydro with four contracts and an 18.2% share and solar with four contracts and an 18.2% share.

Smart grid contracts in Q3 2020: Top issuers by capacity

The top issuer of smart grid contracts for the quarter in terms of power capacity involved was:CollectiveSun L (United States) and Sanford Burnham Prebys Medical Discovery Institute with 0.85MW from one contract.

Smart grid contracts in Q3 2020: Top winners by capacity

The top winner of contracts for the quarter in terms of power capacity involved was:EDF Renewables North America (United States) with 0.85MW from one contract.

All publicly-announced contracts are included in this analysis drawn from GlobalData’s Power database, which covers power plants, T&D projects, equipment markets, analysis reports, capacity and generation, and tracks tenders and contracts on a real-time basis.

More in-depth reports and analysis on all reported contracts are available for subscribers to GlobalData’s Power database.