Siemens Receives Another Major Order For Combined Cycle Power Plant In Saudi Arabia

ERLANGEN, Germany, Feb. 6, 2012 /PRNewswire/ --  Siemens will supply key components for the IPP Qurayyah combined cycle power plant (CCPP) in the Kingdom of Saudi Arabia. With an installed capacity of 4 gigawatts (GW) it will be one of the world's largest CCPPs, and will supply enough electrical energy to meet approximately one tenth of the country's current power demand for its 28 million inhabitants. Commissioning of the total of six blocks is scheduled for 2014. The project consortium is led by the Saudi company ACWA Power with Samsung C&T and MENA fund as further members. Siemens received the order from Samsung C&T which also acts as EPC contractor. In addition a long-term service and maintenance agreement for the power plant was signed with Hajr Project Company (owned by SEC, ACWA, Samsung C&T). The order value for Siemens is over 1 billion U.S. dollars. The plant, which will be commissioned in 2014, will be operated by Hajr as an Independent Power Producer (IPP).

(Logo: http://photos.prnewswire.com/prnh/20070904/SIEMENSLOGO )

"For the Qurayyah power plant in Saudi Arabia we're supplying advanced combined cycle equipment from our global manufacturing network," said Roland Fischer, CEO of the Fossil Power Generation Division of Siemens Energy. The company will supply the components from its recently inaugurated U.S. gas turbine production plant in Charlotte, North Carolina, and also from its manufacturing plants in Berlin and Muelheim, Germany. Siemens' scope of supply encompasses a total of 12 SGT6-5000F gas turbines, 18 generators of the SGEN6-1000A series and six SST6-4000 steam turbines together with the associated electrical systems.

Siemens Energy will also provide the long-term maintenance for the major equipment in the IPP Qurayyah power plant. With its portfolio of customizable and proven energy service solutions, Siemens' full-scope maintenance and service contract will help to ensure the long-term reliability and optimum performance of the plant, as well as provide predictable maintenance costs.