Reducing energy use and GHG emissions remains a priority for the process industries. However, when designing more energy efficient plants or revamping existing sites, a high level of expertise is required to perform Pinch analysis. Engineers have limited time available for design, and the use of separate tools by multiple disciplines also brings the risk of errors due to manual data transfer.

Reducing energy use and GHG emissions remains a priority for the process industries. However, when designing more energy efficient plants or revamping existing sites, a high level of expertise is required to perform Pinch analysis. Engineers have limited time available for design, and the use of separate tools by multiple disciplines also brings the risk of errors due to manual data transfer.

Learn how a major European refinery reduced energy usage and improved high-value product yields by leveraging the integration of process simulation technology and energy analysis to identify opportunities for greater energy efficiency.

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LG Chem increases capacity by 15% and saves energy through heat integration using Aspen Plus®, Aspen Energy Analyzer™ and Aspen Exchanger Design and Rating™.

Optimal heat exchanger design software is vital for the efficient operation of any process plant. The integration between heat exchanger design and rating software, Aspen EDR, and the process simulators Aspen HYSYS® or Aspen Plus® enables engineers to design heat exchangers best suited to their processes. View this webinar to learn best practices on designing heat exchangers.

Robust heat exchangers designed and delivered on time and on budget are vital for the success of engineering projects. AspenTech offers an integrated design workflow that supports every major type of heat exchanger. The seamless integration between its solutions for process design and the thermal and mechanical design of heat exchangers reduces design time. Learn more about heat exchanger design software.

Heat exchangers can comprise up to 30% of capital equipment and impact 90% of the energy used in a process plant.

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.