Electricity procurement tenders down 5% in October 2019

26 November 2019 (Last Updated November 26th, 2019 06:27)

Electricity procurement tenders down 5% in October 2019

Electricity procurement tenders in October 2019 saw 21 tenders announced, marking a drop of 5% over the last 12-month average of 22, according to GlobalData’s power industry tenders database.

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The proportion of tenders by category tracked by GlobalData in the month was as follows:

  1. Electricity Supply: ten tenders and a 47.6% share
  2. Power Purchase Agreement: six tenders and a 28.6% share
  3. Project Implementation: five tenders and a 23.8% share.

Asia-Pacific leads electricity procurement activity in October 2019

Comparing tenders activity in electricity procurement segment in different regions of the globe, Asia-Pacific held the top position with ten tenders and a share of 47.6% during October 2019, followed by Europe with six tenders and a 28.6% share and North America with four tenders and a 19% share.

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Solar is leading technology for electricity procurement tenders in October 2019

Among the technologies, solar accounted for nine tenders with a 40.9% share, followed by biopower with six tenders and a 27.3% share and wind with three tenders and a 13.6% share.

Electricity procurement tenders in October 2019: Top companies by capacity

The top issuers of electricity procurement tenders for the month in terms of power capacity involved were:

  1. Northern Indiana Public Service (United States): 2,600MW from two tenders
  2. Solar Energy Corporation of India (India): 400MW from one tender
  3. Platte River Power Authority (United States): 150MW capacity from one tender.

All publicly-announced tenders 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 tenders are available for subscribers to GlobalData’s Power database.