Status of ClaRaCCS: Modelling and Simulation of Coal-Fired Power Plants with CO2 Capture

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This paper presents the effect which the utilization of excess power in Power-to-Heat units has on an energy system which is fully supplied by renewables. For this, a possible future German integrated energy system consisting of the power, heat and gas sectors is modeled using the TransiEnt Library in Modelica R. The first system contains electric energy storage units, Power-toGas as well as Gas-to-Power plants and hot water storage units as energy storage technologies. The heat supply does not use excess power, and an option to curtail renewable power generation is added. The system costs are optimized by using simplified models in MATLAB R and designed in Modelica afterwards to include the dynamic effects. In a second system, excess power can also be used in existing electric heat pumps and in a third system as well in existing electric heating rods installed in the hot water storage tanks instead of curtailing renewable energy generation. This reduces the component sizes and thus the cost of the system because only control has to be added to enable this behavior.

Section: Heating System Controlmentioning

confidence: 99%

Influence of Excess Power Utilization in Power-to-Heat Units on an Integrated Energy System with 100 % Renewables

Bode

Schmitz

2019

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“…It is written in Modelica modelling language. It allows the user to model highly detailed complete power plants with a strong focus on their dynamic behaviour (ClaRa, 2015;Brunnemann et al, 2012). Figure 1.…”

Section: Informative Backgroundmentioning

confidence: 99%

Mathematical Model of Soot Blowing Influences in Dynamic Power Plant Modelling

Gierow

Hübel

Nocke

et al. 2015

Due to the increasing integration of renewable energy sources in the existing power grid the conventional power plants have to set their focus more on flexibility and grid stabilization than supplying the base load. Since this task was not foreseeable when designing the currently existing power plants, they will have to suffer completely different load scenarios than expected. Dynamic modelling of complete steam cycles is a promising way to study the power plant operation of various future scenarios. To adapt the model to real power plant behaviour, especially with a focus on control events, the implementation of effects due to steam blown into the gasside part of the boiler in order to detach soot from the heating surfaces (soot blowing) seem to bring great efforts concerning model validity. Furthermore special control optimizations can be done, for example on spray injection at soot blowing events. In this study temperature measurement data is used in combination with a highly detailed boiler model of a 550 MW hard coal fired power plant to build a mathematical model of soot blowing influence on the different heat exchangers.

“…• Calculating property data in an external environment can significantly increase the simulation speed [5]. However this is not a general feature because in some cases it can have the exact opposite effect and decrease the simulation speed.…”

Section: Introductionmentioning

confidence: 99%

Interfacing Models for Thermal Separation Processes with Fluid Property Data from External Sources

Wellner¹,

Trapp²,

Schmitz³

et al. 2014

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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.