To run an ethylene plant longer, safer and greener, digitalization plays a pivotal role. In today's unfavorable market conditions, digital solutions are needed to improve the overall profitability and sustainability of operations.

AspenTech Industrial AI™는 공정 산업의 판도를 바꾸는 기술로서 AI 알고리즘의 속도와 성능에 실제 도메인 전문 지식의 효율성과 매개변수를 결합하였습니다. 특수 목적에 맞게 설계된 아스펜테크의 AI 솔루션은 데이터 인사이트, 엔지니어링 기반기술, 공정자산에 대한 지식 및 산업에 특화된 전문 지식을 결합하여 고객 기업이 끊임없이 변화하는 비즈니스 요구 사항에 더 빠르게 적응하고 대응할 수 있도록 지원합니다.

Upgrading automation, digital and data infrastructure has become essential for chemical companies seeking long-term growth and competitiveness.

AspenTech Industrial AI™ is a game-changing technology for the process industries, combining the speed and power of AI algorithms with the efficiency and parameters of real-world domain expertise. Our purpose-built AI solutions bring together data insights, engineering fundamentals, asset knowledge and industry expertise, enabling companies to adapt and respond quicker to ever-changing business needs.

Due to demands of production, evolving regulations, need to advance sustainability goals and a widening skills gap, organizations are implementing adaptive process control capabilities.

Bio-based feedstocks play an important role in creating a circular economy. Making biofuel or chemicals from biofeedstocks typically has a lower carbon footprint than the fossil fuel-based processes. Therefore, transforming biofeedstocks is considered as one of the energy transition pillars. Despite sustainability advantages, many chemical and polymer makers have been reluctant to actively pursue large-scale use of biofeedstocks mainly due to economics and process complexities.

Industry leaders have committed to achieving net zero carbon emissions. For many this will require a shift in operations—moving away from yearly emissions reporting to becoming more transparent in their efforts. Many are turning to advancements in decarbonization technology for real-time visualization of emission data across the entire organization.

Electrification is accelerating across all economic sectors as the world increases demand for resources, energy and sustainability. The shift from fossil-based systems to electric will drive change within the existing power infrastructure and beyond with new microgrids and self-generation at industrial sites.

Capital project owners need to optimize their CAPEX spending throughout the lifecycle of their projects, from design to operations.

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to implement prescriptive maintenance solution, companies can improve the accuracy of failure detection, increase the advance notification period of asset downtime events and reduce maintenance spend.