Wanted: Siemens SGT-800 Gas Turbine, platform 'B’ Capacity: 50.5 MW Spare Parts

The Siemens SGT-800 is an industrial gas turbine designed and manufactured by Siemens, a global leader in power generation and industrial technologies. The SGT-800 is designed for high efficiency, reliability, and flexibility in various power generation applications, such as combined heat and power (CHP) plants, simple cycle power plants, and combined cycle power plants.

The "platform 'B'" refers to a specific configuration or version of the Siemens SGT-800 gas turbine, which may have enhanced features or improvements compared to the base model. While the exact specifications of the platform 'B' version may differ, here are some general features of the Siemens SGT-800 gas turbine:

1. Power Output: The SGT-800 gas turbine offers a power output range of 47-62 MW, depending on the configuration and operating conditions.
2. Efficiency: The gas turbine is designed for high efficiency, with electrical efficiencies of up to 40% in simple cycle operation and up to 60% in combined cycle operation.
3. Fuel Flexibility: The SGT-800 can operate on a wide range of fuels, including natural gas, liquefied petroleum gas (LPG), and various grades of fuel oil, offering operational flexibility.
4. Emissions: The gas turbine features advanced combustion technologies that help reduce emissions, making it environmentally friendly and compliant with stringent emission regulations.
5. Reliability and Maintenance: The SGT-800 is designed for high reliability and long service intervals, reducing maintenance costs and downtime.
6. Applications: The gas turbine is suitable for various power generation applications, including CHP plants, simple cycle power plants, and combined cycle power plants, in industries such as oil and gas, chemicals, and manufacturing.

For the exact specifications and features of the Siemens SGT-800 platform 'B' version, it is recommended to consult the manufacturer's documentation or contact Siemens directly, as specifications may change over time or across different models.