Process simulation software Aspen HYSYS

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.

As part of the technological development aimed at realizing a carbon-neutral society, the chemical industry is considering the transition to low-carbon raw materials such as bio-based feedstocks. Additionally, by applying biosciences used in various fields such as healthcare, agriculture, forestry, livestock, and fisheries, there is also the possibility of changing processes from traditional chemical reaction processes that require high temperature and pressure to more environmentally friendly bioprocesses. This document introduces how to utilize the newly added bio-based raw material database in Aspen Plus V14 and how to handle bio-reaction (biochemical reaction) processes. It also presents efficient methods for conducting feasibility studies and process design for bioprocesses, which have seen a rapid increase in demand recently. [The following functions are introduced] ■ Bio-based raw material database ■ Bio-reaction (biochemical reaction) ■ Economic evaluation of bioprocesses ■ Case studies using sample files For more details, please refer to the related catalog.

In recent years, advancements in process simulation technology have brought attention to "process digital twins." This webinar will introduce an overview of process digital twins based on the latest process simulation technologies. We invite you to participate. A process digital twin is a technology that enables real-time monitoring, analysis, and optimization by digitally reproducing manufacturing processes and equipment from the real world. As application examples, we will present successful cases of process digital twins in industries such as manufacturing and energy. This will clarify how digital twins can significantly enhance a company's productivity and efficiency, from visualizing the entire production line to improving operational management. Process digital twins are positioned as a core element of digital transformation (DX) in manufacturing. They are also essential technologies for increasing productivity while minimizing environmental impact. By realizing sustainable production processes that leverage digital twins, companies can respond flexibly and swiftly to market changes, maintain and enhance their competitiveness, and take an important step towards achieving carbon neutrality.

We have released the latest version of the AspenTech Engineering Solutions comprehensive catalog. It comprehensively introduces approximately 70 types of products that can be used from research and development to process design and operations. ■ Process simulators (for oil & gas, petroleum refining, petrochemicals, fine chemicals, pharmaceuticals, and food) ■ Project cost estimation ■ Heat exchanger design ■ Pinch analysis ■ Equation solver tools ■ Gas adsorption processes ■ Liquid adsorption processes ■ Utility supply equipment optimization ■ Reliability analysis ■ Engineering document management tools ■ Safety assessment solutions ■ Safety valve design ■ Dynamic analysis ■ Flare piping ■ AI (machine learning) ■ Digital twin ■ Online monitoring ■ Real-time optimization (RTO) ■ Operator training systems (OTS) ■ Biomass and carbon capture considerations ■ Hydrogen production/transportation ■ Chemical recycling For more details, please refer to the related catalog.