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

Hübel, Moritz; Berndt, André; Meinke, Sebastian; Richter, M.; Mutschler, P.; Hassel, Egon; Weber, H.W.; Sander, M.; Funkquist, Jonas

doi:10.3384/ecp140961037

Cited by 9 publications

(4 citation statements)

References 5 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To this end, various measures are tested and optimized in dynamic models prior to testing in the power plant. These include improvements for the supply of control power, as can be seen in Refs [16, 19–22] improvement of the start‐up process, 23,24 and the reduction of the minimum power 25,26 . In addition, as 27 shows, dynamic models can be used for analysis in case of changes in the power plant infrastructure, for example in the integration of thermal storages.…”

Section: Power Plant System Modelmentioning

confidence: 99%

Evaluation of the effects of a load shedding at a lignite power plant

Prause

Koltermann

Meinke

et al. 2021

Energy Science & Engineering

Self Cite

View full text Add to dashboard Cite

The load‐shedding scenario describes an unscheduled load reduction in a power plant so that it produces only the electricity that is needed by the plant itself. The reason for such a scenario is a collapse of power supply in the transmission network. In the subsequent restoration of the electrical supply, different options are distinguished. An essential part of each option is island operating or black start capable thermal power plants. The load‐shedding scenario is complex and multilayered. If process steam is also decoupled during the load shedding, high exhaust steam temperatures in the turbine stages can lead to plant shutdown. In addition, component damage can be expected in thick‐walled components due to high temperature and pressure amplitudes. Thus, it can be shown in this paper that the lifetime losses are highest at the high‐pressure preheater 6 and at the deheater and that the process heat coupling cannot be operated with constant mass flow under all circumstances. In order to investigate these issues, a detailed model of a lignite power plant has been created, which was developed in Modelica for simulating and comparing scenarios for a variety of applications. The model comprises the entire water‐steam cycle including turbines, preheaters and pumps, as well as a very detailed boiler model including the air supply, coal mills, heating surfaces, and piping. Furthermore, the power plants' control system has been implemented in a very precise way. In addition, the study involves a calculation of lifetime consumption for specific components to evaluate the effects. In summary, it can be stated that this study examines the thermodynamic aspects during a load‐shedding scenario for the first time. It focuses on processes within the power plant and thus differs significantly from other studies on this topic, which approach the issue from the electrical grid side.

show abstract

Section: Power Plant System Modelmentioning

confidence: 99%

Evaluation of the effects of a load shedding at a lignite power plant

Prause

Koltermann

Meinke

et al. 2021

Energy Science & Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…The impact of the primary frequency control is of the lifetime reduction of the thick-wall components and the main impact factors were identified to be the temperature, the pressure alterations and the shape/geometry of the component [36] Coal 750 APROS ® Ramping up and down Operational data…”

Section: Operational Datamentioning

confidence: 99%

“…The impact of primary frequency control to the thick-wall components and their lifetime expectancy was presented in [36]. A lignite-fired power plant was modeled with Modelica ® and simulated for a 25%-load step change under two different scenarios; with and without primary frequency control.…”

Section: Ramping Ratementioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

“…On the other hand, the TurboMachineryDomain package was developed to comprise only elements from libraries specialized in gas turbines and other thermal power generation technologies such as ThermoPower (Casella & Leva, 2003), ThermoSysPro (El-Hefni, Bouskela, & Lebreton, 2011), ThermoFluid (Idebrant et al, 2003) or the ThermalPower library (Hübel et al, 2014). In this work only ThermoPower has been used.…”

Section: Contributionsmentioning

confidence: 99%

Proceedings of The American Modelica Conference 2018, October 9-10, Somberg Conference Center, Cambridge MA, USA

2019

Linköping Electronic Conference Proceedings

View full text Add to dashboard Cite

Simulation Led Innovation at Procter & GambleThe required pace of innovation continues to increase in the consumer packaged goods industry. Increasingly historical approaches of development by physical prototypes lead to slow execution, high costs and incremental innovations.By leveraging simulations we can deliver better innovations, faster, at lower costs. Succeeding on this journey requires more than just technical mastery. Changing the way that innovation is done also requires changing how decisions are made and how resources are allocated. It is also necessary to think about the entire lifecycle of the digital assets such as simulation platforms in a manner similar to how we manage our physical assets (e.g. pilot plants). Digital assets required continued funding, maintenance and upgrades to remain viable over time.

show abstract

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

Cited by 9 publications

References 5 publications

Evaluation of the effects of a load shedding at a lignite power plant

Evaluation of the effects of a load shedding at a lignite power plant

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

Proceedings of The American Modelica Conference 2018, October 9-10, Somberg Conference Center, Cambridge MA, USA

Contact Info

Product

Resources

About