The combined operation of postcombustion CO 2 capture and a power plant is a complex process with significant mutual interactions. Although the application of CO 2 capture imposes an efficiency penalty on the power plant, it also provides the opportunity to operate the power plant in a more flexible way. To analyze this process, a detailed model of a postcombustion capture plant is developed and validated with measurement data. Afterward, the model is coupled to the model of a hard coal-fired power plant to study the effects of a joint operation. In a case study scenario, the steam extraction of the carbon capture plant is reduced by 50% to increase the power generation of the power plant. The results indicate that it is possible to provide primary frequency control by using this mode of operation.
Within the DYNCAP project, the Modelica library ClaRaCCS is being developed. This library will provide a framework to model both steam power plants and carbon capture units in an integrated manner. The current status of the library is presented. The structure of the library and the general model design is outlined. Its user-friendly handling as well as its high flexibility in the modelling of individual complex scenarios are demonstrated by the concrete modelling of a furnace. The scenario of a closed steam cycle coupled to a carbon capture cycle based on an amine gas treatment is described and simulation results are briefly discussed.
The capture of CO2 from
power plant flue gases provides
an opportunity to mitigate emissions that are harmful to the global
climate. While the process of CO2 capture using an aqueous
amine solution is well-known from experience in other technical sectors
(e.g., acid gas removal in the gas processing industry), its operation
combined with a power plant still needs investigation because in this
case, the interaction with power plants that are increasingly operated
dynamically poses control challenges. This article presents the dynamic
modeling of CO2 capture plants followed by a detailed validation
using transient measurements recorded from the pilot plant operated
at the Maasvlakte power station in the Netherlands. The model predictions
are in good agreement with the experimental data related to the transient
changes of the main process variables such as flow rate, CO2 concentrations, temperatures, and solvent loading. The validated
model was used to study the effects of fast power plant transients
on the capture plant operation. A relevant result of this work is
that an integrated CO2 capture plant might enable more
dynamic operation of retrofitted fossil fuel power plants because
the large amount of steam needed by the capture process can be diverted
rapidly to and from the power plant.
So far, when modelling processes that demand for multi-phase and multi-component fluid property data, the user has to implement the required media models in the Modelica language as these types of fluids are not supported by Modelica.Media. This paper presents a first approach on how to implement fluid property data in process models of an existing library from external sources and highlights which problems have to be overcome. Furthermore, it provides recommendations for the design of an efficient and user-friendly interface to external media packages.
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