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Published on: June 9, 2023
A structural optimization method for maximizing power output in multi-stage self-superheated systems.
Mohammad-Mahdi Pazuki1, Mohammad Ebadollahi2, Majid Amidpour1
1Faculty of Mechanical Engineering, Department of Energy System Engineering, K.N. Toosi University of Technology, Pardis Ave, Tehran, Iran.
This study presents a new method to optimize multi-stage power systems, increasing power generation by 4.96% and reducing component wear. The approach systematically determines the best system architecture for improved energy efficiency.
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Area of Science:
- Thermodynamics and Energy Systems Engineering
- Mechanical Engineering
- Sustainable Energy Technologies
Background:
- Conventional power system optimization often relies on fixed configurations, limiting potential efficiency gains.
- Integrating components like steam turbines and Organic Rankine Cycles requires complex coordination for optimal performance.
- Minimizing erosion and exergy destruction are critical for enhancing the lifespan and efficiency of thermal power systems.
Purpose of the Study:
- To introduce a novel structural optimization methodology for multi-stage power generation systems.
- To systematically determine the optimal number and arrangement of system components.
- To maximize power output and improve energy utilization in diverse thermal power applications.
Main Methods:
- A three-tier nested algorithmic framework for systematic structural optimization.
- A generalized algorithm for iterative evaluation of different structural configurations.
- Coordinated multi-stage optimization balancing steam flow and pressure distributions between cycles.
Main Results:
- Achieved a 4.96% increase in power generation.
- Reduced turbine outlet moisture content by 19.02% and 17.38%, mitigating erosion risk.
- Decreased exergy destruction by 3.82% and 0.85%, indicating improved energy utilization.
Conclusions:
- The novel methodology effectively optimizes multi-stage power system architecture for enhanced performance.
- The approach offers significant improvements in power output, component lifespan, and energy efficiency.
- The generalized methodology is applicable to a wide range of thermal power systems, including renewable energy sources.