アスペンテックジャパン/AspenTech Company Profile

Among equipment projects, one in five is seen to be over budget, making decision-making regarding all expenditures crucial for equipment project owners. Throughout the project lifecycle or the lifespan of the plant, various concerns and decisions, both large and small, may arise from design to operation. Decisions are often based on trade-offs between the ability to achieve key performance indicators such as plant throughput, quality, uptime, and safety, and costs. Carefully evaluating these trade-offs fundamentally determines whether the project will succeed, achieve overall goals, and result in customer satisfaction. For more details, please refer to the related catalog.

The Aspen Properties database and its supporting development tools have led the industry for the past 40 years by providing thermodynamic properties throughout the entire lifecycle of chemical processes. When Aspen Properties was first introduced to the market in 1983, the online provision of property data for chemistry and chemical engineering brought about a significant transformation in the discovery, development, and operation of chemical processes. AspenTech continues to lead the application of digital properties through innovations such as the continuous addition of new property methods, innovations like the electrolyte property system, strong partnerships with the global research community through close relationships with the National Institute of Standards and Technology (NIST), innovations in generalizing workflows that enable users to develop new property models, and improvements in properties related to carbon capture amine systems. For more details, please refer to the related catalog.

Aspen HYSYS has established itself as a leading process simulator in the oil and gas industry and the EPC (Engineering, Procurement, and Construction) sector for several decades. Through years of continuous technological innovation, process engineers can gain unparalleled insights from high-precision process simulations. Key features include the estimation of capital expenditure costs (CAPEX) and operational maintenance costs (OPEX), energy analysis using pinch technology, calculation of overall plant emissions, and rigorous simulation of equipment such as reactors, distillation columns, and heat exchangers in refineries. Additionally, the development of high-precision digital twin models is further enhanced by built-in industrial AI technology. For more details, please refer to the related catalog.