18597726. ENHANCED REPLACEMENT OF SELECTIVE CATALYTIC REDUCTION BEDS IN ETHYLENE FURNACES simplified abstract (Chevron Phillips Chemical Company LP)

ENHANCED REPLACEMENT OF SELECTIVE CATALYTIC REDUCTION BEDS IN ETHYLENE FURNACES

Organization Name

Chevron Phillips Chemical Company LP

Inventor(s)

Reed J. Bastie of The Woodlands TX (US)

Chad J. Thomas of The Woodlands TX (US)

Robert B. Railey of The Woodlands TX (US)

Casey Mcnamara of Chicago IL (US)

Colin Elliott of New York NY (US)

Justin L. Brown of The Woodlands TX (US)

Sean Beach of The Woodlands TX (US)

Ruixuan Han of The Woodlands TX (US)

ENHANCED REPLACEMENT OF SELECTIVE CATALYTIC REDUCTION BEDS IN ETHYLENE FURNACES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18597726 titled 'ENHANCED REPLACEMENT OF SELECTIVE CATALYTIC REDUCTION BEDS IN ETHYLENE FURNACES

Simplified Explanation

This patent application describes a method for estimating the end-of-life of a furnace catalyst bed by analyzing measurements of the catalyst bed over time periods and generating a health score based on the data.

• Extract first measurements of a furnace catalyst bed.
• Determine time-period averages of the extracted measurements over multiple time periods.
• Calculate a catalyst activity indicative of the efficiency of a selective reduction catalyst in reducing NOx concentrations.
• Generate a linear regression of the catalyst activity based on averages of the multiple time periods.
• Calculate a health score of the furnace catalyst bed based on the linear regression, indicating the estimated end-of-life of the catalyst bed.

Key Features and Innovation

• Method for estimating the end-of-life of a furnace catalyst bed.
• Utilizes measurements and averages over time periods to determine catalyst activity.
• Generates a health score based on linear regression analysis.
• Provides an estimate of the remaining lifespan of the catalyst bed.

Potential Applications

This technology can be applied in industries using furnaces with catalyst beds to optimize maintenance schedules and replacement plans based on the estimated end-of-life of the catalyst bed.

Problems Solved

• Helps in predicting the remaining lifespan of a furnace catalyst bed.
• Allows for proactive maintenance and replacement planning.
• Optimizes the efficiency of selective reduction catalysts in reducing NOx concentrations.

Benefits

• Cost-effective maintenance planning.
• Improved efficiency of furnace catalyst beds.
• Enhanced performance of selective reduction catalysts.

Commercial Applications

1. 1. 1. Furnace Catalyst Bed End-of-Life Estimation Technology

This technology can be utilized in industries such as power plants, refineries, and chemical processing plants to optimize the lifespan and efficiency of furnace catalyst beds, leading to cost savings and improved environmental performance.

Questions about Furnace Catalyst Bed End-of-Life Estimation Technology

How does this technology impact the maintenance costs of industrial facilities?

This technology can significantly reduce maintenance costs by allowing for proactive planning based on the estimated end-of-life of furnace catalyst beds, avoiding unexpected failures and downtime.

What are the environmental benefits of using this technology in industrial settings?

By optimizing the efficiency of selective reduction catalysts in reducing NOx concentrations, this technology can help industrial facilities reduce their environmental impact and comply with emissions regulations.

Original Abstract Submitted

This disclosure describes systems, methods, and devices related to for estimating the end-of-life of a furnace catalyst bed. A method may include extracting first measurements of a furnace catalyst bed; determining time-period averages of the extracted first measurements of the furnace catalyst bed over multiple time periods; determining a catalyst activity indicative of an efficiency of a selective reduction catalyst in reducing NOx concentrations for the furnace catalyst bed at a first time; generating a first linear regression of the catalyst activity based on averages of the multiple time periods; and generating a health score of the furnace catalyst bed at a second time based on the first linear regression, the health score indicative of an estimated end-of-life of the furnace catalyst bed.