Multi-objective performance optimization of ORC cycle based on improved ant colony algorithm

He, Rong; Wei, Xinli; Hassan, Nasruddin

doi:10.1515/phys-2019-0006

Cited by 6 publications

(2 citation statements)

References 18 publications

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“…In an inverse problem calculation process, the algorithm with good convergence corresponds to the relative fewer forward problem calculation times. Since the ACO algorithm is a probability-based solution method, the calculation result of an inverse problem (the number of calculation times for the positive problem in the inverse problem) does not explain the problem [11]. Therefore, this article focuses on arranging measuring points on the boundary of y = 0 and x = 0.1, arranging measuring points only on the boundary of x = 0.1, and arranging measuring points only on the boundary of y = 0.…”

Section: Calculation Verificationmentioning

confidence: 99%

Thermal control system based on ant colony algorithm

Zhang¹,

Zhou²

2021

THERM SCI

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In order to improve the accuracy and speed of solving the inverse problem of source-seeking heat conduction, the paper proposes a correlation-based ant colony optimization algorithm for the inverse problem of source-seeking heat conduction based on the characteristics of the influence of the heat source position on the boundary temperature distribution in the heat conduction problem. This method is used to construct the corresponding heuristic information value for each co-ordinate of the heat source location, which can reflect the degree of similarity between the temperature curve of the calculated measuring point and the temperature curve of the real measuring point, namely the correlation degree. The ant colony optimization algorithm the medium path selection mechanism and the structure of the objective function have been improved. The paper replaces the actual experiment with numerical calculation obtain the temperature of the measuring point, and performs computer programming experiment on the inverse problem. The calculation results show that the calibration method of this heuristic information value and the objective function the construction method can distinguish the quality of the path well, thereby increasing the speed of the ant colony converging to the best path. The computational efficiency is improved by 18-60% compared with the ant colony algorithm that does not consider the correlation.

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Section: Calculation Verificationmentioning

confidence: 99%

Thermal control system based on ant colony algorithm

Zhang¹,

Zhou²

2021

THERM SCI

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“…The cycle-based comprehensive efficiency of a cooled turbine [15] was developed as a method for evaluating the optimization design of cooled turbines, which considered the influence of changes in turbine aerodynamic performance and coolant fraction on the cycle efficiency. Therefore, maximum cooled-turbine comprehensive efficiency was considered as the optimized objective in the current research to improve the cycle performance [16,17], and the optimized designs were compared to demonstrate the importance of considering coolant-requirement change during turbine design.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional optimal design of a cooled turbine considering the coolant-requirement change

Wang

et al. 2019

Open Physics

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Cooling technology is widely applied in modern turbines to protect the turbine blades, and extracting high-pressure cooling air from a compressor exerts a remarkable influence on the gas-turbine performance. However, the three-dimensional optimal design of a turbine in modern industrial practice is usually carried out by pursuing high component efficiency without considering possible changes in coolant requirement; hence, it may not exactly lead to improvement in the gas-turbine cycle efficiency. In this study, the turbine stator was twisted and leaned to achieve higher comprehensive efficiency, which is the cycle-based efficiency definition for a cooled turbine that considers both turbine aerodynamic performance and coolant requirement. First, the influence of twist and compound lean on turbine aerodynamic performance, considering stator-hub leakage, was investigated. Then, a method to predict the coolant requirement for turbines with different stator designs was applied, to evaluate coolant-requirement change at the design condition. The optimized turbines were finally compared to demonstrate the necessity of considering the coolant-requirement change in the optimal design. This indicated that proper twisting to open the throat area in the stator hub and compound lean to the pressure surface side could help improve the cooled-turbine comprehensive efficiency.

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Comparative analysis of organic rankine cycle, Kalina cycle and thermoelectric generator to recover waste heat based on energy, exergy, economic and environmental analysis method

Lan

Wang

et al. 2022

Energy Conversion and Management

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Multi-objective performance optimization of ORC cycle based on improved ant colony algorithm

Cited by 6 publications

References 18 publications

Thermal control system based on ant colony algorithm

Thermal control system based on ant colony algorithm

Three-dimensional optimal design of a cooled turbine considering the coolant-requirement change

Comparative analysis of organic rankine cycle, Kalina cycle and thermoelectric generator to recover waste heat based on energy, exergy, economic and environmental analysis method

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