Modeling of Coal-Fired Power Units with ThermoPower Focussing on Start-Up Process

Meinke, Sebastian; Gottelt, Freidrich; Müller, Martin; Hassel, Egon

doi:10.3384/ecp11063353

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…The decision to exclude the highest-pressure feedwater preheater was proposed as a strategy for full-load operation retention, when superheated and/or reheated steam temperature declined. An non-conventional load change from 40% to 100% load was simulated in [90]. A coal-fired power plant detailed model was developed with Modelica ® Modelon ThermoPower library.…”

Section: Undesired Operation and Accidentsmentioning

confidence: 99%

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Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation

et al. 2020

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Since the widespread deployment of non-dispatchable, intermittent, and highly variable power production from renewable energy sources (RES), the demand for flexible power production has been steadily growing. As new-built dispatchable power plants have not been very quickly adapted to the emerging flexible operation, this task has been addressed by existing plants as well. Existing solid-fuel thermal power plants have undergone an extensive study to increase their flexible operation. Thermodynamic process-modeling tools have been extensively used for plant modeling. Steady- and transient-state simulations have been performed under various operating regimes, supplying valuable results for efficient power-plant operation. Flexibility aspects regarding low-load operation and steady operational conditions are mostly investigated with steady-state simulations. Flexibility aspects related to variation over time such as ramping rates are investigated with transient simulations. The off-design operation is mainly attributed to the existing fleet of power plants, struggling to balance between their former operational schemes as base and/or medium-load plants. However, off-design operation is also considered for new plants in the design phase and is included as a simulation aspect. Process modeling turns out to be a proven tool for calculating plant flexibility and predicting extreme operating conditions, defining further steps for a new operational scheme, drafting accident mitigation control procedures or, furthermore, provisioning more complex and cross-field future tasks. A review of the off-design aspect as a simulation approach is undertaken and presented in this work. Finally, challenges and future perspectives for this aspect of solid-fuel thermal power plants are discussed.

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Section: Undesired Operation and Accidentsmentioning

confidence: 99%

“…Each component of the plant and the whole plant was validated against operational data. One soft start- An non-conventional load change from 40% to 100% load was simulated in [90]. A coal-fired power plant detailed model was developed with Modelica ® Modelon ThermoPower library.…”

Section: Undesired Operation and Accidentsmentioning

confidence: 99%

Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation

et al. 2020

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“…• A 550MW anthracite coal-fired power plant model developed using the ThermoPower library [4] presented by Meinke et al [5]. It consists of a predefined water/steam cycle, boiler combustion chamber and air passage power plant components that work in conjunction with control schemes.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a robust integrated thermal power plant model for load loss analysis and identification

2021

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The development of deep learning methodologies for the analysis of thermal power plant load losses requires a combination of real plant data and data derived from fundamental physics-based process models. For this purpose, a robust integrated power plant thermofluid process model of a complete +600MW coal-fired power plant was developed within the Flownex Simulation Environment. It consists of standard and compound components, combined with specially developed scripts to ensure complete energy balance, specifically on the two-phase tank components. This enables simulation of the complete plant operation to determine power output as a function of any given set of internal and external operational variables, boundary conditions and component states. The model was validated against real plant design and acceptance test data. In order to demonstrate the ability of the model it was used to evaluate the plant performance related to three specific load loss inducing scenarios. The results show that a combination of mechanical faults, process anomalies and operational phenomena can be analysed. This provides the basis for generating model-based performance data that can be combined with real plant data to facilitate the development of deep learning analytics tools for load loss fault diagnosis and root cause analysis, as well as fault propagation and load loss forecasting.

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“…Similar models of a hard coal red power plant and a combined cycle gas turbine power plant have been developed previously for dierent applications (e.g. [1], [2] and [3]). The • Low pressure preheater bypass: In this mode the power plant increases its electrical output by throttling the valves to the low pressure preheaters and the feedwater tank.…”

Section: Introductionmentioning

confidence: 99%

Modelling a Lignite Power Plant in Modelica to Evaluate the Effects of Dynamic Operation and Offering Grid Services

Hübel¹,

Berndt²,

Meinke³

et al. 2014

Linköping Electronic Conference Proceedings

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Modeling of Coal-Fired Power Units with ThermoPower Focussing on Start-Up Process

Cited by 6 publications

References 2 publications

Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation

Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation

Development and validation of a robust integrated thermal power plant model for load loss analysis and identification

Modelling a Lignite Power Plant in Modelica to Evaluate the Effects of Dynamic Operation and Offering Grid Services

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