Power plant tenders down 27% in July 2019

16 August 2019 (Last Updated August 16th, 2019 07:46)

Power plant tenders down 27% in July 2019

Power plant tenders in July 2019 saw 109 tenders announced, marking a drop of 27% over the last 12-month average of 149, 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. Project Implementation: 93 tenders and an 85.3% share
  2. Repair, Maintenance, Upgrade & Others: eight tenders and a 7.3% share
  3. Consulting & Similar Services: eight tenders and a 7.3% share.

Asia-Pacific leads power plant activity in July 2019

Comparing tenders activity in power plant segment in different regions of the globe, Asia-Pacific held the top position with 84 tenders and a share of 77.1% during July 2019, followed by Middle East and Africa with 11 tenders and a 10.1% share and North America with eight tenders and a 7.3% share.

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Solar is leading technology for power plant tenders in July 2019

Among the technologies, solar accounted for 94 tenders with an 84.7% share, followed by wind with seven tenders and a 6.3% share and hydro with five tenders and a 4.5% share.

Power plant tenders in July 2019: Top companies by capacity

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

  1. Emirates Water and Electricity (United Arab Emirates) and Philippines Department of Energy (Philippines): 2,000MW from one tender
  2. Oman Power and Water Procurement (Oman) and Energinet Eltransmission (Denmark): 1,000MW from one tender
  3. Paschim Gujarat Vij (India): 600MW 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.