电力科技与环保2026，Vol.42Issue(4)：544-553,10.DOI:10.19944/j.eptep.1674-8069.2026.04.003
不同元启发式算法在热管换热器结构优化中的对比研究
Comparative study of different metaheuristic algorithms in optimizing the structure of heat pipe heat exchangers
摘要
Abstract
[Objective]The heat pipe heat exchanger has the effect of saving energy and reducing consumption in coal-fired power plants,but how to obtain the optimal efficiency with the least manufacturing materials is an engineering application problem.At present,for the structural optimization of heat pipe heat exchanger,it is necessary to break through the problems of no basis for algorithm selection,dependence on experience for parameter setting and difficulty in landing theoretical solutions,find out the parameter sensitivity law in the optimization process and establish a new perspective of"theory-engineering"evaluation.[Methods]In this paper,the gas-gas heat pipe heat exchanger selected for the air preheater of a 90 t/h CFB boiler is taken as the research object,and a multi-constraint optimization model with the goal of reducing the metal consumption is constructed.Three algorithms,constrained genetic algorithm(CGA),particle swarm optimization(PSO)and linear population size reduction success-history based adaptive differential evolution(L-SHADE),are selected.The system comparison is carried out under the same conditions.The coupling effects of population size,iteration times and randomness on performance are quantitatively analyzed innovatively,and the post-evaluation mechanism of'rounding the theoretical optimal solution to the engineering standard specification'is first proposed to simulate the real manufacturing constraints.[Results]Studies have shown that all three algorithms have optimal parameter intervals.Although CGA algorithm can effectively deal with constraints,its convergence speed is not as fast as PSO algorithm and L-SHADE algorithm.PSO has the highest computational efficiency under the premise of ensuring the quality of the solution.After rounding the theoretical continuous solution according to the manufacturing standard,the metal consumptions calculated by CGA,PSO and L-SHADE algorithms are 0.592 m3,0.586 m3 and 0.588 m3,respectively,which are 24.30%,25.06%and 24.81%lower than the initial design.Although the performance of the algorithm in the theoretical space is different,the three final schemes tend to be consistent after the engineering specifications are rounded,which reveals the performance convergence between the ideal model and the actual constraints.[Conclusion]Although the final engineering schemes are similar,PSO has become the first choice due to its excellent efficiency and stability.The method described in this paper significantly improves the engineering applicability of the optimization design.关键词
热管换热器/结构参数优化/元启发式算法/L-SHADEKey words
heat pipe heat exchanger/structural parameter optimization/metaheuristic algorithms/L-SHADE分类
能源科技引用本文复制引用
赵洋,黄林滨,谭锐,朱旭初,马凯,王跃童..不同元启发式算法在热管换热器结构优化中的对比研究[J].电力科技与环保,2026,42(4):544-553,10.基金项目
低碳智能燃煤发电与超净排放全国重点实验室开放课题项目(D2023FK084) （D2023FK084）
国家能源投资集团有限责任公司科技创新项目(GJNY-23-68) （GJNY-23-68）
