Modelling and simulation of a coal-fired power plant for start-up optimisation

Hübel, Moritz; Meinke, Sebastian; Andrén, Marcus Thelander; Wedding, Christoffer; Nocke, Jürgen; Gierow, Conrad; Hassel, Egon; Funkquist, Jonas

doi:10.1016/j.apenergy.2017.10.033

Cited by 71 publications

(19 citation statements)

References 20 publications

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“…However, a maximum tolerable deviation of 10% between the measured value and the simulation value is specified in Ref. [23]. This deviation is clearly undercut in the present model at all evaluated measuring points.…”

Section: Power Plant System Modelmentioning

confidence: 76%

“…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%

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

Prause

Koltermann

Meinke

et al. 2021

Energy Science & Engineering

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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.

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Section: Power Plant System Modelmentioning

confidence: 76%

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

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“…Dynamic modeling, simulation and optimization of subcritical steam power plants are also implemented by the authors [3]. The authors [4] performed modeling and simulation of coal-fired power plants for start-up optimization.…”

Section: A Modelingmentioning

confidence: 99%

Effect of Increasing Sea Water Temperature on Performance of Steam Turbine of Muara Tawar Power Plant

Darmawan¹,

Yuwono²

2019

JTS

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Muara Tawar Power Plant is located on the coast of Bekasi, West Java, Indonesia. Along with the economic development, there are plans to do reclamation the sea around Muara Tawar Power Plant and build around it as a port and industrial estate. This could potentially lead to an increase in sea water temperatures. This paper aims to determine the effect of increasing sea water temperature on the performance of steam turbine 1.4 in Muara Tawar Power Plant, which uses sea water as a condenser cooling medium. The intended performance is the output power of the steam turbine, the condenser pressure and the system efficiency. Steam turbine 1.4 has 225 MW installed output power, supplied from 3 HRSG (Heat Recovery Steam Generator).Analysis of the effect of sea water temperature rise on steam turbine performance is carried out by using the cycle-tempo software. The main equipment of steam turbine is modeled in cycle-tempo, then model is validated by comparing with design data. Varies sea water temperature then is inputted on model in order to obtain the output power of steam turbine, condenser pressure and system efficiency. The results show that for every 1˚C increase in condenser cooling water temperature extracted from seawater near the plant, the output power of the plant decreased by about 0.171%, the condenser pressure increased by about 5.146%, and the system efficiency decreased by about 0.168%.

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“…Furthermore, there are five factors that affect the coal-based power plant's efficiency. The first factor is design choices (Li et al, 2010;Stover et al, 2011), second is fuel strategies (Xia et al, 2014;Xu et al, 2016), third is operational practices (Xiong et al, 2012;Hübela et al, 2017), fourth is pollutant control (Munir et al, 2011), and fifth is ambient conditions (Zhang, 2015;Petrescu et al, 2017). None of the aforementioned studies analyzed both efficiency and reliability.…”

Section: Introductionmentioning

confidence: 99%

Holistic Operation and Maintenance Excellence (HOME): Integrating Financial and Engineering Analysis to Determine Optimum O and M Strategies for a Power Plant during its Lifetime

Wibawa¹,

Ichsani²,

Yuniarto³

2021

IJTech

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Today, there is an oversupply of 23.5 GW (47.7%) in the electricity system of Indonesia. PT.PLN, the state-owned electricity company, needs decision criteria to decide whether the power plant should be continue operated, rehabilitated or demolished. Base on the literature review, none of the frameworks in the world could be used to solve this problem. Therefore, this research proposed a new method or framework called HOME (Holistic Operation & Maintenance Excellence). The method has proposed and analysed in this research combines engineering analysis (efficiency and reliability) and economic analysis, which are total cost (acquisition cost, fuel cost, operation cost, and maintenance cost) and revenue. The objective is to define decision criteria to maximize the profit and minimize the cost has spent by a power plant. The final results are the decision criteria for a power plant, wheater to continue operated, rehabilitated, relocated, or demolished. A subcritical coal power plant, 400 MW, has been selected as a case study. Two scenarios of coals (LRC and HRC) and CF (79.46% and 60.96%) have been analyzed. Coal variation is used to evaluate its impact on efficiency and reliability, while CF change would represent the external and uncontrollable factor that impacts its revenue. The results showed that the thermal efficiency when using LRC (4,220 kcal/kg) reduced from 36.99% to 35.18% compared to HRC (4,917 kcal/kg), while the plant availability decreased from 97.93% to 97.45%. Nonetheless, the annualized profit when using LRC at the CF of 79.46% was 18.31 million USD/year, and it was a preferable option compared to 7.80 million USD/year when using HRC. Furthermore, the CF has predicted a reduction to 60.96%. In this situation, the power plant was better rehabilitated or relocated when it used HRC because it needs a minimum CF of 63.83% to get a break-even point (CFBEP). Conversely, the plant could continue to operate when LRC is used because CFBEP was 50.82%. Based on the analysis results, HOME is a good approach to determine and aid decision-making on the strategies required to operate and maintain a power plant comprehensively through its whole life cycle.

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Modelling and simulation of a coal-fired power plant for start-up optimisation

Cited by 71 publications

References 20 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

Effect of Increasing Sea Water Temperature on Performance of Steam Turbine of Muara Tawar Power Plant

Holistic Operation and Maintenance Excellence (HOME): Integrating Financial and Engineering Analysis to Determine Optimum O and M Strategies for a Power Plant during its Lifetime

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