PTQ Gas 2022 Issue

Advanced Carbon Capture Eectiveness and Economics with Aspen Tech Solutions Carbon capture needs innovation in solvent chemistry, column design for efficiency and energy optimi s ation

Digital Twin (Process Simulation Online) Monitor separation eciency in operations Actionable improvements Measure trends and report CO 2 capture for reporting and accountability Control/Optimi s e (Production Optimi s ation) Apply advanced control to all energy consuming units Set control strategies to optimi s e energy use during carbon capture

Process In n ovation (Process and Hybrid Model l ing) Design optimi s ed processes for efficient carbon capture

Scale up processes from pilot plant data Optimi s e process operating conditions Select adequate solvent and column internals Column and exchanger design Economic e valuation and feasibility studies

Economics and Risks (Process Model li ng, Collaborative FEED) Economic e valuation and feasibility studies Digitally evaluate scale-up economics and risk

Figure 2 Solutions for advanced carbon capture effectiveness and economics

Advanced, supply chain planning can be facilitated with new software advances to optimally integrate the hydrogen economy value chain with existing natural gas and power networks. integrated By automating processes to create the self-optimising plant paradigm, new technologies such as hydro- gen electrolysis, carbon capture, crude-to-chemicals, and industri- al-scale fuel cells can be deployed as autonomously as possible to compensate for shortages of highly skilled operators. In optimising the value chain with risk and availability modelling, new capabilities can be used to evaluate hydrogen production, transporta- tion, storage, end-use options, and the risks to achieve reliable energy goals.

ferent energy choices, given all the different variables they may have to consider around regional energy options, industrial players, and gov- ernment policies. It will be crucial also in support- ing the adoption of innovative new approaches: from green hydrogen electrolysis to carbon capture, or process models from integrated eco- nomic and cost modelling, energy efficiency optimisation, and risk modelling workflows. This is crit - ical as the research undertaken by AspenTech discovered that every company asked stated that they planned to invest in technologies to improve energy optimisation over the next five years. Digital solutions will also play a key role in tracking progress on sustainability goals as new

For hydrogen electrolysis and fuel cells, the ability to simulate electro- chemistry, handle dynamics, and consider stochastic variation is cru- cial. Advanced modelling and digital twin solutions have played a prom- inent role in hydrogen generation research and development for the past 30 years. Digitalisation across the value chain As the industry transitions to hydrogen, companies must look for asset optimisation software that extends across the entire value chain, addressing the key areas of production, distribution and stor- age, and usage. This kind of technology will assist companies as they explore all ave- nues of the hydrogen economy, including choosing between dif-

Sustainability Use Cases Anabled by Technology Solution Sets

Resource Eciency

Energy Transition

Circular Economy

Major impact Supporting role

Emissions (all GHG Sources )

Energy & Water Eciency

Carbon Capture & Utilisation

Green & Blue Hydrogen

Solar/Wind/ Renewable/ Storage

Plastics and Materials Recycling

Innovative Process/ Products

Crude to Chemicals

CO to Chemicals

Bio-Based Feedstock

Biofuels

Energy and Emissions Monitoring/Optimi sa tion Strategy, Capital Planning (C apex and Design

Digital Twin

Utility Optimi s ation Planning & Schedule Control & Optimi s e Monitor & Execute Supply/Value Chain Optimi s ation Waste Accounting Predictive maintenance and Asset Health

Figure 3 Sustainability use cases enabled by technology solution sets

20 Gas 2022