CFD approach for determining the losses in two-phase flows through the last stage of condensing steam turbine

Shabani, Sima; Majkut, Mirosław

doi:10.1016/j.applthermaleng.2024.123809

Applied Thermal Engineering

2024

DOI: 10.1016/j.applthermaleng.2024.123809

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CFD approach for determining the losses in two-phase flows through the last stage of condensing steam turbine

Sima Shabani,

Mirosław Majkut

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Cited by 5 publications

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Utilizing a pressure-based CFD solver for modelling wet steam flow in low-pressure turbine stages: a predictive approach to assessing flow losses

Shabani,

Majkut,

Dykas

et al. 2024

J. Phys.: Conf. Ser.

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This research focuses on addressing a critical challenge in steam turbine operation, specifically condensation losses within the Low-Pressure (LP) section. Such losses have a significant impact on energy efficiency and operational costs in industries like power generation and manufacturing. The objective of this research is to predict condensation losses in the LP part of steam turbines. The simulation of the two-phase flow of wet steam is performed in the ANSYS CFX software. The geometry studied in this research is the actual geometry of the last stage of a steam turbine, which is modeled in three dimensions. The complexities of modeling three-dimensional flows, as well as providing relationships that can be used to calculate losses that can be generalized and used in different conditions, are distinctive features of this research.

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Utilizing a pressure-based CFD solver for modelling wet steam flow in low-pressure turbine stages: a predictive approach to assessing flow losses

Shabani,

Majkut,

Dykas

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

Energy management of the residential smart microgrid with optimal planning of the energy resources and demand side

Chammam,

Alkhazaleh,

Altalbawy

et al. 2024

Sci. Tech. Energ. Transition

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The study specifically aimed to model the optimal operation of these appliances based on their usage patterns, rather than relying on the capacity of demand flexibility in demand response (DR) and energy pricing. The modeling operation of the appliances is done using two-layer energy optimization. In this optimization, energy consumption by appliances is reshaped via DR and load shifting in first-layer optimization. Then, minimizing the consumption costs and consumers’ discomfort in the second layer is formulated with consideration of the optimized consumption from the first layer. The lp-metric method is employed to solve the proposed optimization in the GAMS software. Finally, the efficiency of the two-layer optimization is confirmed using testing proposed case studies in the numerical simulation.

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Modelling demand response in smart microgrid with techno and economic objective functions and improvement of network efficiency

Wang,

Zhang,

Zhou

et al. 2024

Sci. Tech. Energ. Transition

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Power system optimization academics have long been drawn to the idea of scheduling distributed energy resources (DERs) optimally in order to decrease the generating cost of a low voltage (LV) microgrid (MG) system. The present work implements two different incentive based demand response (IBDR) policies for load curtailment. The first one involves a price elasticity matrix to emphasis on paying incentives to the customers for curtailing load during peak hours only. The second IBDR policy is an optimization based approach which involves customer willingness to deliver economic benefit both to themselves as well as the DISCOM. The final restructured load demand is the base load demand minus the load curtailed by both the IBDR policies. Henceforth, generation cost minimization is percolated on the MG system for all the three load models. Three case studies are performed for an exhaustive techno-economic analysis of the subject MG system. The study uses the recently created quick and easy circle search algorithm (CSA) as its optimization tool. The generation cost was decreased from $25463 to $24969 and $24899 using IBDR1 and IBDR2 policies of load curtailment respectively. During IBDR1 80kW load was curtailed and the customers gained an incentive of $277 whereas using IBDR2 policy, 105kW of load was curtailed and the DISCOM benefitted $211. The consumers also benefitted $500 in the process. Numerical results also show that CSA outperformed various optimization algorithms from the literature and ample algorithms implemented in the work. Central tendency measurements further support the reliability and effectiveness of CSA.

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CFD approach for determining the losses in two-phase flows through the last stage of condensing steam turbine

Cited by 5 publications

References 29 publications

Utilizing a pressure-based CFD solver for modelling wet steam flow in low-pressure turbine stages: a predictive approach to assessing flow losses

Utilizing a pressure-based CFD solver for modelling wet steam flow in low-pressure turbine stages: a predictive approach to assessing flow losses

Energy management of the residential smart microgrid with optimal planning of the energy resources and demand side

Modelling demand response in smart microgrid with techno and economic objective functions and improvement of network efficiency

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