BASF launches oxidation catalyst for natural gas power plants
BASF today announced its latest innovation to control carbon monoxide emissions from natural gas power plants. Camet ST sulfur tolerant oxidation catalyst builds on the company’s standard Camet oxidation catalyst technology, while also improving the ability of the catalyst to perform in the presence of most forms of sulfur contamination.
“The natural gas supply has become more variable with the inclusion of fracked and biogas components, resulting in significant deactivation of emission control catalyst systems,” said Ying Wu, General Manager of Clean Air for BASF. “Oxidation catalysts have shown to deactivate very quickly in the presence of sulfur. Therefore, we developed, tested, and are now launching Camet ST sulfur tolerant catalyst to handle very high levels of sulfur with minimal deactivation.”
Camet ST is currently deployed in several commercial units where sulfur contamination previously resulted in excessive downtime and frequent cleaning.
“Our breadth of catalyst experience encompasses virtually every make, model and turbine configuration,” Wu said. “Our R&D, application engineering and project engineering expertise contributes to maximum performance of Camet ST sulfur tolerant oxidation catalyst in both new source applications and as a replacement catalyst in existing applications.”
At CERAWeek by IHS Markit, held in Houston in March, IEA Director Fatih Birol said that the world would soon see a major second wave of shale gas production from the US in response to higher energy prices and growing demand from India and China.
Mozambique and Tanzania hold an estimated 180 Tft3 and 57 Tft3 of proven natural gas reserves, respectively.
Maximize Profitability with Advanced Analytics at Natural Gas Processing Plants
Incorporating economic data into process modeling is key to optimizing operations and maximizing profits at gas processing plants. However, maintaining optimal operations are often challenging due to changing market dynamics, contract structures and increasing process flexibility. Today, gas processors are leveraging Predictive Control and First Principles models to accurately determine and control the optimal operating targets in real time based on the most current plant conditions and profitability, optimizing recovery of natural gas liquids. Learn how real-time analytics, combined with decision support tools, empower companies to:
•Improve processing margins by up to 5%
•Maximize NGL production through improved availability and optimized process conditions
•Improve compositional control to operate closer to product specifications
May 22, 2018 10am CDT