Plant Details and Optimization Target
The power plant operates boilers that use several types of fuel, including coal, LNG, and LPG. The steam produced is distributed to more than 200 in-plant users, while the electricity generated is sold to KEPCO. The facility is also equipped with multiple steam turbine generators to meet the energy demands of its various users efficiently.
Work-Scope
- Energy Network Planning
- Optimal planning to maximize profit, considering heat and power import/export, fuel prices, and other constraints such as energy requirements
- Planning projection period: from one month to one year, at hourly frequency
- Facility maintenance planning is also included
- Energy Network Balance
- Configure the steam, fuel, and electricity networks
- Balance plant-wide mass and energy based on data reconciliation
- Update facility efficiency parameters in real time by balancing the energy network
- Energy Management System (EMS)
- Manage energy intensity, generation, and consumption
- Manage energy network balance and optimal operation
- Configure a web-based heat demand prediction system (short term and long term)
- Calculate and display current and optimal energy production costs
- Report operation plans and performance data
- What-if simulation (changing fuel costs, facility conditions, model parameters, and so on)
Project Result
- Suggests an optimal operation plan
- Predicted heat demand and waste heat data are displayed as a trend chart
- A bar chart shows when to start and stop boilers and turbines to meet heat demand, and how much to generate
- Detailed information on facility load is provided in a table
- Planning constraints can be entered or modified through the EMS.
- Planning can be run directly from the EMS.
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- Constraints, prices, and demand can be customized by timeline.
- Performance models for the boilers and STGs can be entered or modified through the EMS.
- Production planning results can be monitored through the EMS.
- Planning results can be viewed on an hourly, daily, and monthly basis.