The global push for sustainability and stricter environmental regulations is driving demand for cleaner industrial processes and reduced carbon footprints. Simultaneously, rising energy costs and supply chain pressures necessitate operational efficiency improvements. This technology offers a dual solution by repurposing CO2 emissions for process optimization, aligning with circular economy principles and providing a competitive edge for industries facing high energy consumption and waste management challenges.
Achieves 50x Regeneration Efficiency: Reduces hydrocarbon removal time by ~50x compared to nitrogen gas, significantly increasing zeolite continuous operating rates.
Reduces Operational Costs by Over 65%: Decreases gas volume required for hydrocarbon removal by ~30x. Reusing CO2 could substantially lower operational costs.
Contributes to Environmental Impact Reduction and Green Transformation (GX): Utilizes CO2 as a purge gas, contributing to emissions reduction. This enhances adopting companies' ESG ratings and advances GX strategies.
The patent was granted after successfully addressing examiner rejections with appropriate amendments and arguments, indicating strong stability and validity. The claims are extensive, covering both system configuration and method aspects, making it robust against invalidation. The involvement of a reputable patent law firm further attests to the meticulousness of the claims and the stability of the rights.
This patent primarily covers the CO2-based regeneration system and method for zeolite. White space exists in developing novel zeolite materials optimized for CO2 purging, or integrating advanced AI-driven process control for predictive maintenance and further efficiency gains.
Assuming an LPG refining plant incurs ~$350K/year (AI est.) in nitrogen gas costs and ~$2M/year (AI est.) in labor costs (5 operators × ~$400K/operator/year). This technology could reduce gas requirements by ~30x and labor time by ~50x, potentially lowering gas costs to ~$10K/year (AI est.) and labor costs to ~$40K/year (AI est.). This results in an estimated annual cost reduction of ~$1.6M (AI est.).
X: Operational Cost Efficiency
Y: Environmental Contribution