Green hydrogen plays an increasingly important role in meeting decarbonization and energy transition targets. As electrolyzer technology rapidly advances as part of a green hydrogen solution, it’s vital that engineers capture these process enhancements to meet design targets and optimize performance.

Today, the oil & gas industry is constantly faced with a dual challenge of meeting operational excellence and sustainability goals. The award-winning Aspen Generic Dynamic Optimization Technology (GDOT) improves margins and achieve sustainability objectives by vertically integrating planning, scheduling and advanced process control in closed loop.

For insights into how Carbon Capture and Storage (CCS) is key in the move towards a net-zero world, Tim Langdon, publisher of Eco Voice, facilitated a Q&A with Gerardo Muñoz, Senior Solutions Marketing Manager, AspenTech

See how you can leverage the activated analysis capabilities to discover different alternatives to improve energy efficiency of your process and analyze each of those alternatives for their impact on CAPEX and OPEX, heat exchanger equipment performance and emissions, without leaving either Aspen HYSYS or Aspen Plus software environment.

Keeping process safety documentation up-to-date is essential design and operations of safety devices. This video showcases how activated datasheets are created and used inside the AspenTech process simulation safety analysis environment to create reliable documentation that's updated with the latest PRD designs.

To hold global warming within the range of the Paris Agreement goals, the world needs to reduce emissions by unprecedented volume—and at unparalleled speed. Ensuring a green future while continuing to provide reliable energy supplies is a dual challenge that will require new solutions, including advanced technology.

In this case study, discover how Sardeolica used prescriptive maintenance to achieve maximum value and expects to reduce maintenance costs up to 10 percent per year.

Our Asset Performance Management solution is honored as an innovative technology that made significant contributions to improvements in the process industries.

The future of the upstream industry lies in the adoption of innovative geoscience digitalization solutions to optimize operations. Machine learning applications for geoscience data have been in use for more than 25 years but have recently become critical due to massive growth in the amount of petrotechnical data being acquired. As machine learning evolves, it will play an increasingly visible role in analyzing surface and subsurface data.

AspenTech's Ron Beck uncovers key areas within supply chain to understand technology’s role in energy transition.