AVEVA Engineering & ETAP
3rd parties & partners
Design & planning >1 week
Dashboards /reporting
AI analytics
Azure services
Specialist services
2D/3D asset models
APM
APS
AVEVE Unied Operations
Market management >1 min
3rd party modelling
ETAP PS modelling
Market interface
WFMS
SCADAs
Data hub Forecasts
Settlements
Hydrogen process
Ammonia process
Exporter
Generation
‘Hydrogen EMS’ virtual operator
Operations management <1 min
Reporting
Scheduling
Reporting
Reporting
EMS
Forecasting
MES
MES
DCS
DCS
Energy management >1 s Power management <1 s
SCADA
Safety systems
SCADA
Telemetry
SCADA
SCADA
PPC
PMS
Substation
Sensors
Substation
Electricity, water & hydrogen domains
70km
Export
Wind farm
Substation
‘Buer tank’
Ammonia
Hydrogen
Wind: 1.5 GW capacity BESS: still to be designed
20% MW capacity 10% MWh capacity
Legend SE system SE partner 3rd party
100% renewable enablers System integration Telemetry
G
100% capacity
Emergency/ standby gen.
Grid
Transmission
Figure 3 Sample control architecture for a green hydrogen project
integrated approach: A control strategy for a green hydrogen project supports an integrated approach and allows the project developer to target these three key elements at early stages: • Safe operations of the plant • Control logic • Operation production forecast. A control strategy can evolve from simple building blocks to complex logic diagrams at different phases of the project. It is paramount to define clear logic at an early stage because operational processes are dynamic in nature and involve inherent variability. This proactive approach not only helps mitigate operational risks but also lays a solid foundation for the subsequent stages of the project, helping to ensure a streamlined transition into the FEED and detailed design phases. Integrated control architecture overcomes the complexity of interface among various domains: A green hydrogen project must integrate multiple domains such as water, renewable power, green hydrogen itself, and an integrated control architecture. Defining the key control interfaces before FID allows the project developer to specify all the equipment correctly
and validating different scenarios can be cumbersome and challenging. Co-simulation provides a holistic view: Co-simulation uses technology to model and simulate entire systems using one tool. It combines individual simulations of system parts to achieve a global simulation of the coupled system. Simulation depends on three factors: fidelity, time resolution, and synchronisation. This co-simulation helps ensure that equipment sizing is fully optimised and hydrogen flows. It also helps confirm that the volumes forecasted for the economic model are optimally designed to achieve the lowest LCOE, LCOH, and LCOA in some cases. Using unified power and process simulation tools, it is possible to create a dynamic and transient simulation of key power and process key equipment on an integrated platform. Co- simulations can be combined with artificial intelligence, and first principal modelling can pave the way for real-time, data-driven decision support. Co-simulations can also be used to help develop effective operator training scenarios. Pre-defined control strategy allows an
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